Science topic

Business Intelligence - Science topic

Reporting, OLAP, Data Mining, Adaptive Decision Support, Tools
Questions related to Business Intelligence
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I want to do a thesis on business intelligence application and development but I can't seem to find the right topic to go with. Please, if you have any ideas you can share or don't mind me working with for my thesis, I will be very grateful. Thank you
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I suggest exploring demand drivers for your local food, entertainment, and tourism industry. If this scope is too broad, please narrow your criteria.
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One of my master students is currently conducting a preliminary study to find out the maturity of the Cross Industry Standard Process for Big Data (CRISP4BigData) for use in Big Data projects. I would like to invite all scientists, Big Data experts, project managers, data engineers, data scientists from my network to participate in the following survey. Feel free to share!
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Kevin Berwind Good to hear that, Cradle-to-gate is an evaluation of a portion of a product's life cycle from resource extraction (cradle) through factory gate (ie, before it is transported to the consumer). Cradle-to-gate evaluations are occasionally used as the foundation for business-to-business environmental product declarations (EPDs).
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I’m working on a research on how business intelligence tool like oracle apex can tackle health inequality. I will really appreciate if anyone can explain why it is used for tackling health inequality.
Thank you.
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Business intelligence is human intelligence and artificial intelligence. Kindly visit the links.
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Commercial banks are increasingly worried about competition from fintechs, including online technology companies that expand the range of financial and pre-financial services. Commercial banks are more and more actively using IT technologies of online banking, building Business Intelligence data processing platforms, extending Big Data database systems, developing integrated risk management systems and conducting advertising campaigns on social media websites. In view of the above, large commercial banks have the opportunity to conduct a sentiment analysis on data collected in Big Data database systems for the purpose of analyzing the expectations and opinions of Internet users regarding, for example, financial services. Information obtained from the Internet and processed in the aforementioned manner can be used for more precise risk analysis, credit risk management, planning subsequent advertising campaigns, modifying the financial services offer in line with changing expectations of Internet users, searching for clients on social media portals. In this way, interdisciplinary analytical processes are also developed at commercial banks, for which the information from the websites of social media portals is the source of data.
Do commercial banks have a chance to win in this matter in competition with the fintech technology companies operating on the Internet?
Besides, What is the effectiveness of online advertising campaigns run by commercial banks?
Please, answer, comments.
I invite you to the discussion.
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Dear Denis Muchunku, Haseeb Javed,
Yes. Internet advertisements are used more and more often in advertising campaigns also by financial institutions, including commercial banks presenting their offers of banking products and financial services as well as internet mobile banking offer. During the SARS-CoV-2 (Covid-19) coronavirus pandemic, the development of electronic internet banking, including mobile banking, accelerated. Therefore, commercial banks have recently been developing mainly online mobile banking for citizens, individual clients and business entities. Recently, many banks have been conducting advertising campaigns using new online media, including social media portals, to promote their online banking offers, also offered to companies and enterprises. Banks offer the opening of an online banking account primarily for business entities from the SME sector that do not yet have a mobile banking account, do not have their own website, are startups, etc. In promotional online banking offers for companies and enterprises from the SME sector, commercial banks offer additional incentives and incentives. auxiliary services creating a website for the company, creating an online platform for selling products and / or services of the client's enterprise, creating an online store, they also offer tax advisory services, financial advisory services, etc. Banks more and more often offer their financial services through social media portals, because of the research conducted market know that their customers are increasingly actively using these new online media and that these online marketing communication channels can be the most effective.
Thank you very much,
Best regards, Greetings,
Have a nice day,
Be safe and healthy,
Dariusz Prokopowicz
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first I need to analyze and try to answer for predictive and prescriptive maintenance questions
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I might consider a broad approach as a first step. I would familiarize myself with the data by visually exploring the data. In my space, a graph is an important analysis tool which helps providers direction.
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dear community, I need some sources for some data science project or machine learning project related to analyzing the google analytics and Facebook business data , your help is appreciated.
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Identifying the level of intelligence maturity in the agricultural sector and comparing BI maturity models to design a specific model of agricultural intelligence
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Agricultural intelligence requires hard work and experience
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What will be the future applications of analytics of large data sets conducted in the computing cloud on computerized Business Intelligence analytical platforms in Big Data database systems in enterprise logistics management?
The analytics conducted on computerized Business Intelligence platforms is one of the key advanced information technology technologies of the fourth technological revolution, known as Industry 4.0. The current technological revolution described as Industry 4.0 is determined by the development of the following technologies of advanced information processing: Big Data database technologies, cloud computing, machine learning, Internet of Things, artificial intelligence, Business Intelligence and other advanced data mining technologies.
The analytics conducted on computerized Business Intelligence platforms currently supports business management processes, including logistics management.
In my opinion, the use of analytics of large data sets conducted in the computing cloud on computerized Business Intelligence analytical platforms in Big Data database systems in enterprise logistics management, including supply logistics, production logistics, provision of services and distribution of manufactured products and services, is currently growing.
The analytics conducted on large data sets conducted in the cloud computing on Business Intelligence computerized platforms in Big Data database systems makes it particularly easy to identify opportunities and threats to business development, allows for quick generation of analytical reports on selected issues in the economic and financial situation of the business entity. In this way, the generated reports can be helpful in the processes of enterprise logistics management, including supply logistics, production logistics, provision of services and distribution of manufactured products and services.
Do you agree with my opinion on this matter?
In view of the above, I am asking you the following question:
What will be the future applications of analytics of large data sets conducted in the computing cloud on computerized Business Intelligence analytical platforms in Big Data database systems in enterprise logistics management?
Please reply
I invite you to the discussion
The issues of the use of information contained in Big Data database systems for the purposes of conducting Business Intelligence analyzes are described in the publications:
I invite you to discussion and cooperation.
Best wishes
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It is rising field since intelligence and in general artificial intelligence becomes the dominant technology of current era
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The current technological revolution, known as Industry 4.0, is determined by the development of the following technologies of advanced information processing: Big Data database technologies, cloud computing, machine learning, Internet of Things, artificial intelligence, Business Intelligence and other advanced data mining technologies.
In connection with the above, I would like to ask you:
Which information technologies of the current technological revolution Industry 4.0 to the greatest extent support the enterprise management process?
Please reply
Best wishes
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In my opinion, in recent years the implementation of Big Data Analytics technologies, the Internet of Things, learning machines and artificial intelligence to the business activities of companies and enterprises has been increasing. improving business management systems. During the SARS-CoV-2 (Covid-19) coronavirus pandemic, the scale of digitization and internetization of economic processes increased. As part of this increase in digitization and internationalization, many manufacturing, commercial, technological, etc. companies implemented investments in the implementation of new information technologies, ICT and Industry 4.0, in order to improve specific spheres of their business activity. As part of these investments, i.a. in the IT systems of enterprises, computerized systems of digital twins are built, in which the entire production processes, logistics processes, and the functioning of machines and devices are digitally built. The digital twin systems built in this way support the systems of production process management, production logistics, supply and delivery logistics, distribution logistics, offering services, etc.
Greetings,
Dariusz Prokopowicz
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Such a system can be a Business Intelligence analytical platform connected to the Big Data database system, where information from the Internet is collected, collected, processed and analyzed, including comments from Internet users entered into social media portals.
On the basis of this data, analytics reports are created in the Business Intelligence system describing changes in interest, consumer preferences for specific products and services, as well as changes in the company's brand assessment that offers a specific product or service offer to the market.
These reports can be very tangible in the business management process, including they can support decision-making in the field of production planning as well as the distribution process, sales organization in the form via the Internet, in the form of e-commerce.
Do you agree with me on the above matter?
In the context of the above issues, the following question is valid:
How to build a decision support system in the field of selling on the Internet, online store, e-commerce?
Please reply
I invite you to the discussion
Thank you very much
The issues of the use of information contained in Big Data database systems for the purposes of conducting Business Intelligence analyzes are described in the publications:
I invite you to discussion and cooperation.
Best wishes
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Dear Gioacchino de Candia,
Yes, that's right. The issue of collecting and processing large sets of information on Big Data Analytics platforms is particularly crucial in the context of the discussed issues.
Thank you, Regards,
Dariusz Prokopowicz
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The goal of predictive analysis is to develop predictions for the development of complex, multifaceted processes in various fields of science, industry, economy or other spheres of human activity. In addition, predictive analysis may refer to objectively performing processes such as natural phenomena, climate change, geological, cosmic etc.
Predictive analysis should be based on taking into account in the analytical methodology possible the most modern prognostic models and a large amount of data necessary to perform the most accurate predictive analysis. In this way, the result of the prediction analysis performed will be the least subject to the risk of analytical error, ie an incorrectly designed forecast.
Predictive analysis can be improved by using computerized modern information technologies, which include computing in the cloud of large data sets stored in Big Data database systems. In the predictive analysis, Business Intelligence analytics and other innovative information technologies typical of the current fourth technological revolution, known as Industry 4.0, can also be used.
The current technological revolution known as Industry 4.0 is motivated by the development of the following factors:
Big Data database technologies, cloud computing, machine learning, Internet of Things, artificial intelligence, Business Intelligence and other advanced data mining technologies. On the basis of the development of the new technological solutions in recent years, dynamically developing processes of innovatively organized analyzes of large information sets stored in Big Data database systems and computing cloud computing for the needs of applications in such areas as: machine learning, Internet of Things, artificial intelligence, Business Intelligence are dynamically developing.
For the abovementioned application examples, one can add predictive analyzes of subsequent, other fields of application of advanced technologies for the analysis of large data sets such as Medical Intelligence, Life Science, Green Energy, etc. Processing and multi-criteria analysis of large data sets in Big Data database systems is carried out according to V4 concepts, ie Volume (meaning a large number of data), Value (large values of certain parameters of the analyzed information), Velocity (high speed of new information) and Variety (high variety of information).
The advanced information processing and analysis technologies mentioned above are used more and more often for the needs of conducting predictive analyzes concerning, for example, marketing activities of various business entities that advertise their offer on the Internet or analyze the needs in this area reported by other entities, including companies, corporations, institutions financial and public. More and more commercial business entities and financial institutions conduct marketing activities on the Internet, including on social media portals.
More and more public institutions and business entities, including companies, banks and other entities, need to conduct multi-criteria analyzes on large data sets downloaded from the Internet describing the markets on which they operate, as well as contractors and clients with whom they cooperate.
On the other hand, there are already specialized technology companies that offer this type of analytical services, including offering predictive analysis services, develop custom reports, which are the result of multicriteria analyzes of large data sets obtained from various websites and from entries and comments. contained on social media portals based on sentiment analyzes of the content of entries in the comments of Internet users.
Do you agree with my opinion on this matter?
In view of the above, I am asking you the following question:
How can you improve the process of predictive analysis?
Please reply
I invite you to discussion and scientific cooperation
Dear Colleagues and Friends from RG
The key aspects and determinants of the applications of modern computerized information technologies for data processing in Big Data and Business Intelligence database systems for the purpose of conducting predictive analyzes are described in the following publications:
I invite you to discussion and cooperation.
Best wishes
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Dear Alexander Kolker,
Thank you very much for your answer and pointing to the important aspects of predictive analytics in business and the use of Big Data Analytics in these analyzes.
Thank you very much,
Best regards,
Dariusz Prokopowicz
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How to obtain currently necessary information from Big Data database systems for the needs of specific scientific research and necessary to carry out economic, business and other analyzes?
Of course, the right data is important for scientific research. However, in the present era of digitalization of various categories of information and creating various libraries, databases, constantly expanding large data sets stored in database systems, data warehouses and Big Data database systems, it is important to develop techniques and tools for filtering large data sets in those databases data to filter out of terabytes of data only information that is currently needed for the purpose of conducted scientific research in a given field of knowledge, for the purposes of obtaining answers to a given research question and for business needs, eg after connecting these databases to Business Intelligence analytical platforms. I described these issues in my scientific publications presented below.
Do you agree with my opinion on this matter?
In view of the above, I am asking you the following question:
How to obtain currently necessary information from Big Data database systems for the needs of specific scientific research and necessary to carry out economic, business and other analyzes?
Please reply
I invite you to the discussion
Thank you very much
Dear Colleagues and Friends from RG
The issues of the use of information contained in Big Data database systems for the purposes of conducting Business Intelligence analyzes are described in the publications:
I invite you to discussion and cooperation.
Best wishes
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Respected Doctor
Big data has three characteristics as follows:
1-Volume
It is the volume of data extracted from a source, which determines the value and capabilities of the data to be classified as big data, and by the year 2020, cyberspace will contain approximately 40,000 megabytes of data ready for analysis and information extraction.
2-Variety
It means the diversity of extracted data, which helps users, whether they are researchers or analysts, to choose the appropriate data for their field of research and includes structured data in databases and unstructured data (such as: images, clips, audio recordings, videos, SMS, call logs, and data). Maps (GPS), and require time and effort to prepare them in a suitable form for processing and analysis.
3-Velocity
It means the speed of producing and extracting data and sending it to cover the demand for it. Speed is a crucial element in making a decision based on this data, and it is the time we take from the moment this data arrives to the moment the decision is made based on it.
There are many tools and techniques that are used to analyze big data, such as: Hadoop, Map Reduce, HPCC, but Hadoop is one of the most famous of these tools. Big data is on several devices and then distributes the processing process to these devices to speed up the processing result and is returned or called as a single package. Tools that deal with big data consist of three main parts:
1- Data mining tools
2- Data Analysis Tools
3- Tools for displaying results (Dashboard).
Its use also varies statistically according to the research objectives (improving education, effectiveness of decision-making, military benefit, economic development, health management ... etc.).
greetings
Senior lecturer
Nuha hamid taher
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What kind of scientific research dominate in the field of Business Intelligence?
What are the important topics in the field: Business Intelligence?
Business entity management processes are more and more often supported by computerized Business Intelligence platforms that facilitate multi-criteria analysis and reporting.
Probably in the future, the business analyst will be supported by artificial intelligence.
It would be a great advance in the field of automation and objectification of multi-criteria economic analyzes of business entities.
Complex, multi-criteria analyzes regarding the verification of large companies' operations require aggregation and analytical processing of large data sets in Big Data database systems.
However, in what direction will technological progress be realized in this field?
In the future, as part of the progressing computerization of analytical processes, it will be possible to implement artificial intelligence to the processes of analyzing large collections of information collected in Big Data database systems.
Apparently, we are now living in the era of the fourth technological revolution, known as Industry 4.0.
The previous three technological revolutions:
1. The industrial revolution of the eighteenth and nineteenth centuries, determined mainly by the industrial application of the invention of a steam engine.
2. Electricity era of the late nineteenth century and early twentieth century.
3. The IT revolution of the second half of the twentieth century determined by computerization, the widespread use of the Internet and the beginning of the development of robotization.
The current fourth technological revelation, known as Industry 4.0, is motivated by the development of the following factors:
- artificial intelligence,
- cloud computing,
- machine learning,
- Big Data database technologies,
- Internet of Things.
On the basis of the development of these IT instruments and technologies, business analytics of companies such as Business Intelligence and the above-mentioned areas have been dynamically developing in recent years.
In view of the above, I turn to you with the following question: In what direction will the current technological revolution, known as Industry 4.0, develop?
Please, answer, comments. I invite you to the discussion.
Dear Colleagues and Friends from RG
Some of the currently developing aspects and determinants of the applications of data processing technologies in Big Data database systems are described in the following publications:
I invite you to discussion and cooperation.
Best wishes
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Mutual trust and respect.
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Does the development and implementation of new information technologies for banking affect the processes of improving the security of online banking systems?
Improvement of online banking security systems can currently be significantly determined, among others, by the implementation of new information technologies for banking.
Are the processes of improving internet banking security systems currently determined by the implementation of new information technologies, i.e. by implementing banking data processing technologies in Big Data database systems, Business Intelligence based analytics, implementation of Blockchain technology and artificial intelligence.
Do you think that the processes of improving internet banking security systems are currently determined by the implementation of new information technologies for banking?
Please reply
Best wishes
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Zhu, R. (2015). An Initial Study of Customer Internet Banking Security Awareness and Behaviour in China. In PACIS (p. 87).
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Is the role of strategic management changing in the context of current economic processes and the development of new information technologies typical of the current fourth technological revolution, known as Industry 4.0?
Strategic management is an important area of ​​management in the context of management of both individual enterprises (microeconomically) as well as domestic economic policy (macroeconomics).
In connection with the development of internationally operating corporations, strategic management acquires a new character, it becomes a part of the study of information and economic globalization processes.
In addition, strategic management can also change its charler in relation to processes such as prolonged business cycles, shortened life cycles of products, increased importance of information, technology, innovation, etc. as particularly important production factors in knowledge-based enterprises and economies in which an ever-increasing role of fully computerized advanced information processing technology, ie technologies typical of the current fourth technological revolution, known as Industry 4.0.
The current technological revolution, known as Industry 4.0, is determined by the development of the following technologies of advanced information processing: Big Data database technologies, cloud computing, machine learning, Internet of Things, artificial intelligence, Business Intelligence and other advanced data mining technologies.
Do you agree with my opinion on this matter?
In view of the above, I am asking you the following question:
Is the role of strategic management changing in the context of current economic processes?
Please reply
I invite you to the discussion
Thank you very much
Best wishes
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Dear Fuad Gattaz Sobrinho,
Thanks for answering the question:
Is the role of strategic management changing in the context of current economic processes in the era of Industry 4.0?
Yes, an important issue is currently the use of Industry 4.0 technology to support the strategic management process of a company, including, inter alia, take into account the Internet of Things mapping to improve the functioning of the business.
Thank you, Regards,
Dariusz Prokopowicz
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Does the combination of Big Data database technologies and Business Intelligence analytics enable the improvement of conducting various economic, financial and other analyzes?
In my opinion, the scope of synergy and possibilities of combining applications of various advanced information processing technologies, including data analysis eg on Business Intelligence platforms based on large data sets collected in Big Data database systems for the purpose of improving information security management processes, including information transferred, increases. on the Internet, collected in Big Data database systems and used to carry out various economic, financial and other analyzes.
Please reply
I invite you to the discussion
Thank you very much
Best wishes
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Due to the rapid technological progress in the field of Industry 4.0 technology, companies, enterprises and financial institutions will increasingly use multi-criteria processing of large data sets using Big Data Analytics and Business Intelligence as part of economic and financial analyzes.
Greetings,
Dariusz Prokopowicz
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Dear all,
I am finding some documents, papers, or book focused on technologies for Business Intelligence (BI). For example, Technologies Supporting Organisation Memory, Technology Enabling Information Integration, Technologies Enabling Decision Making, Technology Enabling Presentation.
Please recommend any document you know.
Thank you
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I have written several articles on the use of Business Intelligence technology in improving the business management process. These articles are available on my Research Gate profile. I invite you to research cooperation in this field. The implementation of Business Intelligence technology is an important factor in the implementation of ICT and Industry 4.0 information technologies to enterprises in order to improve the management of economic processes. During the SARS-CoV-2 (Covid-19) coronavirus pandemic, there was a large increase in the investment of companies and enterprises in new information ICT technologies. It was an important factor in the increase in the scale of digitization and internationalization of remote communication processes and economic processes that occurred during the pandemic in 2020.
Best regards,
Dariusz Prokopowicz
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Hi,
I want to do a thesis on Data Analysis, Business Intelligence or Data Visualisation but I can't seem to find the right topic to go with. I actually have to submit a proposal in few weeks time but so far I've not found any and I don't know what to do. Please, if you have any idea you can share or don't mind me working with for my thesis, I will be very grateful. Thank you
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I think deploving an expert system will be best option on this field. Mojirola Oladimeji
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The development of accounting and financial reporting should be correlated with technological progress in this area, i.e. should take into account the development of IT applications that are commonly used in accounting, accounting and financial reporting in business entities. In addition, in recent years, instrumentalization, standardization and computerization of conducting economic, financial, indicator, fundamental analyzes, etc. supporting reporting processes have been developing rapidly.
In addition, computerized analytics concerning the processing of data generated, among others, in accounting systems on Business Intelligence platforms are also developing. Analyzes carried out in the cloud using Business Intelligence based on data collected in Big Data database systems support financial management processes and management of the entire economic activity conducted by a specific company or financial, public, etc. institute.
Do you agree with my opinion on this matter?
In view of the above, I am asking you the following question:
What are the main determinants of the development of accounting and financial reporting?
Please reply
The issues of the use of information contained in Big Data database systems for the purposes of carrying out Business Intelligence analyzes are described in the publications:
I invite you to discussion and scientific cooperation
Best wishes
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Dear Agumas Alamirew Mebratu,
Thank you for your reply, ie for your views on the main determinants of accounting development and financial reporting influencing the country's accounting development.
Thank you, Best regards,
Dariusz Prokopowicz
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What kind of scientific research dominate in the field of Business Intelligence analytics?
Please, provide your suggestions for a question, problem or research thesis in the issues: Business Intelligence analytics.
Please reply. I invite you to the discussion
Dear Colleagues and Friends from RG
The key aspects and determinants of applications of data processing technologies in Big Data database systems are described in the following publications:
I invite you to discussion and cooperation.
Best wishes
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The SARS-CoV-2 (Covid-19) coronavirus pandemic has increased the scale of digitization and computerization of remote communication processes and various areas of economic activity. The implementation of ICT and Industry 4.0 information technologies in enterprises is carried out in order to improve the processes of production logistics, supply and distribution, to improve enterprise management processes, etc. services etc. Therefore, the following question arises: Has the Coronavirus pandemic also caused an increase in the use of computerized analytics and reporting based on Business Intelligence platforms in companies, enterprises and institutions?
Greetings,
Dariusz Prokopowicz
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as to my supply chain thesis I am interested in supply chain performance, KPI tree and business intelligence
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In my opinion, the combination of technologies typical of the technological revolution known as Industry 4.0 may turn out to be one of the key determinants of civilization progress in the 21st century.
At present, in the age of the technological revolution known as the 4.0 industry, new concepts of technological management or Internet-based companies are being created.
The technological revolution in recent years, known as Industry 4.0, is motivated by the development of the following factors:
Big Data database technologies, cloud computing, machine learning, Internet of Things, artificial intelligence.
In addition, in the knowledge-based economy, the important areas of knowledge and technologies that are developed are primarily the development of data processing analytics in Business Intelligence enterprises, the development of life science technologies, biotechnology, eco-innovation, RES energy, medical intelligence, etc.
On the basis of the development of the new technological solutions mentioned in recent years, the processes of innovatively organized analyzes of large information collections gathered in Big Data database systems dynamically develop.
In view of the above, I would like to ask you: Which technologies will determine the development of civilization in the 21st century?
Please, answer, comments. I invite you to the discussion.
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Dear Aijaz Panhwar,
Thank you for your answer. I also believe that information technologies and ICT are among the technologies that will develop dynamically in the future.
Thank you,
Best wishes,
Dariusz Prokopowicz
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Hello dear community,
I am looking for a valid and empirically tested conceptual model that links the following concepts: Business intelligence systems, decision making process and decision quality
Thanks for your help
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This is the direct link to various models https://is.theorizeit.org/wiki/Main_Page
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Which of the algorithms identified in artificial intelligence can be used to design an intelligent management dashboard with the help of Devops that increase the performance of an organization by implementing enterprice architecture in it? The purpose of smart management dashboard with the help of these algorithms and devops in enterprise architecture
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Please refer these two documents..
AI using Chatbots
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If in many research works, for the purposes of conducted scientific research, the analysis of information collected in Big Data database systems is already used, more and more attempts will be made by various research centers to use data processing in the cloud data collected in Big Data database systems. The data mining technology, artificial intelligence, business intelligence and other advanced information and analytical technologies will also be added to this.
I invite you to the discussion
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In 2020, the SARS-CoV-2 (Covid-19) coronavirus pandemic accelerated the processes of digitization and internetization of remote communication processes, economic and other processes. This increase was mainly due to the implementation of ICT and Industry 4.0 information technologies, including Big Data Analytics, Internet of Things technology, cloud computing, learning machines, etc. to economic processes. Thanks to the growing financial outlays for the development of the aforementioned ICT and Industry 4.0 information technologies and their implementation into economic processes, new business, technological, logistic innovations, etc. are emerging. For example, many companies are currently investing in the development of computerized platforms in order to generate the so-called digital twins who are digital equivalents of business, logistics, production and other processes taking place in the economic entity that create these innovative solutions. Thanks to this, innovative instruments supporting forecasting analyzes of economic processes are created, and thus additional instruments supporting company management processes.
Best regards,
Dariusz Prokopowicz
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Business entity management processes are more and more often supported by computerized Business Intelligence platforms that facilitate multi-criteria analysis and reporting.
Complex, multi-criteria analyzes regarding the verification of large companies' operations require aggregation and analytical processing of large data sets in Big Data database systems.
Specialized IT companies produce applications that help in conducting economic analyzes, i.e. the Business Intelligence platform.
More and more often, large and medium-sized companies use these platforms to adapt them to the specifics of their business.
However, in what direction will technological progress be realized in this field?
In view of the above, the current question is: Will the artificial intelligence for Business Intelligence application be implemented as part of the progressing computerization of analytical processes?
Please, answer, comments. I invite you to the discussion.
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Inevitably. A more interesting question is to do what? And why?
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How should there be an active cooperation between business and science? How should the development of clusters and agreements between cooperating enterprises and science centers, scientific institutes and universities be facilitated in the economic policy of the state?
In my opinion, there should be an active cooperation between business and science. I believe that in the economic policy of the state it is necessary to develop the facilitation of the development of clusters and agreements of cooperating enterprises with science centers, with research institutes and universities. Business development should result from scientific knowledge. Businessmen should consult scientists about business development. Scientists are more and more often engaged as consultants working on the needs of business. Entrepreneurs should use the analytical tools developed by scientists, for example in the area of ​​improvement of business analytics tools, developed computerized tools for advanced information processing, eg in Big Data database systems using Business Intelligence analytical platforms. But this is just an example of this type of cooperation between business and science.
On the other hand, it happens more and more often that researchers and scientists start startups or develop research programs, the effect of which is to create a new type of material or technology, innovative solutions. Then, such innovative solutions, which were created in research laboratories, are increasingly implemented in industry. It happens that the state co-finances large research programs, such as space exploration programs. During these high-budget research programs, new technologies are created that are used in the production of many products offered to consumers or become the basis for the creation of new technological solutions implemented in the mass production of various types of products or services.
In addition, new business and economic concepts are developed and developed, such as the concepts of sustainable pro-ecological economic development, the important element of which is the creation and implementation of eco-innovations into the industry, eg the purpose of developing new renewable energy sources. Such processes, whose aim is to reform the energy sector as quickly as possible and convert classic energy sources based on the combustion of minerals to environmentally friendly renewable energy sources are an example of necessary reforms that can be effectively implemented through cooperation of businessmen with scientists and design and implementation of large infrastructure investments and construction of a power plant for the production of electricity as part of the development of renewable energy sources from financial resources of private companies in the financial support of the state.
In connection with the above, there are more and more examples of synergies of development of private or state-supported investment ventures and developing business with the world of science. The state, as part of pro-development state interventionism, should develop its innovation and development policy as a key element of pro-development economic policy, within which it should support, as well as financially and actively, enterprises and the world of science. As part of this activation, facilitations should be created, for example through a system of tax breaks for the development of clusters and agreements between cooperating enterprises and science centers, scientific institutes and universities. This is a particularly important pro-development element in knowledge-based economies.
Do you agree with my opinion on this matter?
In view of the above, I am asking you the following question:
Should business cooperation with science develop? How to support the development of business cooperation with science? How should there be an active cooperation between business and science? How should the development of clusters and agreements between cooperating enterprises and science centers, scientific institutes and universities be facilitated in the economic policy of the state?
Please reply
I invite you to the discussion
Thank you very much
Best wishes
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Dear Dariusz Prokopowicz The relationship between science and business has been evolving. However, the interaction between the two has not always been so smooth. There is a lot of misunderstanding or a difference in expectations on either side. Increasingly, businesses rely on research to develop new solutions. However, the disconnect between the pace of industry and that of research and innovation has to be improved. The below mentioned link throws some light on the ways how it can be improved:
Thanks!
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The current technological revolution, known as Industry 4.0, is determined by the development of the following technologies of advanced information processing: Big Data database technologies, cloud computing, machine learning, Internet of Things, artificial intelligence, Business Intelligence and other advanced data mining technologies.
In connection with the above, I would like to ask you:
Is the process of conducting economic analyzes improved thanks to the development of information technology Industry 4.0?
For example, whether through the use of information technologies in analytical processes such as database technologies for collecting and processing, analyzing large data sets in Big Data database systems, in cloud computing, using the Internet of Things, artificial intelligence, economic analyzes carried out on computerized platforms Business Intelligence - it is possible to effectively analyze much larger amounts of economic data concerning individual companies, their contractors and the economic, market and macroeconomic environment than before, ie a few years ago when these technologies were not used while carrying out economic, fundamental and financial, indicative analyzes e.t.c.?
Please reply
Best wishes
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Yes you are right. Thanks to the use of Industry 4.0 technology, operations are improved, logistics processes are improved, e.g. supply logistics, distribution, production and e-logistics. This increases the efficiency of production processes, optimizes the operational costs of the production process, increases the scale of automation and objectification of production processes, reduces the scale of errors and failures, and improves the quality of manufactured products. Then, thanks to ICT, Internet and Industry 4.0 information technologies, including smart technologies, Internet of Things technologies, cloud computing, Big Data Analytics, machine learning, artificial intelligence, robotics, etc., data describing production processes can be processed and analyzed using computerized Business Intelligence platforms and used in real-time reporting. The reports obtained in this way are helpful in the efficient management of an organization, enterprise, company, corporation, financial or public institution.
Best wishes,
Dariusz Prokopowicz
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Mentioning above keywords phrase in google search provides multiple outcomes, mostly articles from online magazines like CIO, Granter and more plus few pdf docs from different sources. Looking forward to have more comprehensive case studies on stated subject matter focused on a particular company preferably / industry / region. Thanks in advance for help !
I am looking for the following :
"Failure of business intelligence case studies"
"Failure of Artificial Intelligence case studies"
"Failure of social-media case studies"
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خذ الاتجاه المعاكس لو سمحت وهو نجاح دراسات ذكاء الاعمال ، لمعرفة حالات الفشل فيما بعد
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The analytics conducted on computerized Business Intelligence platforms is one of the key advanced information technology technologies of the fourth technological revolution, known as Industry 4.0.
The current technological revolution, known as Industry 4.0, is determined by the development of the following technologies of advanced information processing: Big Data database technologies, cloud computing, machine learning, Internet of Things, artificial intelligence, Business Intelligence and other advanced data mining technologies.
The analytics conducted on computerized Business Intelligence platforms currently supports business management processes, facilitates identification of opportunities and threats to business development, allows for quick generation of analytical reports on selected issues in the economic and financial situation of the business entity.
Do you agree with my opinion on this matter?
In view of the above, I am asking you the following question:
What future applications of analytics will be developed on computerized Business Intelligence platforms?
Please reply
I invite you to the discussion
The issues of the use of information contained in Big Data database systems for the purposes of conducting Business Intelligence analyzes are described in the publications:
I invite you to discussion and cooperation.
Best wishes
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Thank you very much for the interesting data provided regarding the application of Business Intelligence analytics.
Best regards,
Dariusz Prokopowicz
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Do the results of conducted analyzes using Big Data database technologies and Business Intelligence analytics enable improving the accuracy of conducted economic and financial analyzes and other analyzes of the fundamental analysis type and other analyzes of economic effectiveness, economic and financial situation, property valuation, determining the development perspectives of enterprises and improvement of credit risk management processes?
In the context of the above discussion, another question arises:
- Is it possible to improve the credit risk management processes as a result of the use of Big Data database technologies and Business Intelligence analytics for fundamental analysis and other analyzes regarding the economic performance research, economic and financial situation, property valuation, determining business development perspectives?
- Do the results of conducted analyzes using Big Data database technologies and Business Intelligence analytics allow to improve the accuracy of conducted analyzes and increase the probability of prediction, forecasted phenomena and economic processes occurring?
Do you agree with my opinion on this matter?
In view of the above, I am asking you the following question:
Does the use of Big Data database technologies and Business Intelligence analytics for analytical processes of the analysis of the economic and financial situation of enterprises enable the improvement of credit risk management processes in commercial banks?
Please reply
I invite you to the discussion
Thank you very much
Dear Colleagues and Friends from RG
The issues of the use of information contained in Big Data database systems for the purposes of carrying out Business Intelligence analyzes are described in the publications:
I invite you to discussion and cooperation.
Thank you very much
Best wishes
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Artificial intelligence (AI), and the machine learning techniques that form the core of AI, are transforming, and will revolutionise, how we approach financial risk management. Everything to do with understanding and controlling risk is up for grabs through the growth of AI-driven solutions: from deciding how much a bank should lend to a customer, to providing warning signals to financial market traders about position risk, to detecting customer and insider fraud, and improving compliance and reducing model risk... Aziz, S., & Dowling, M. (2019). Machine learning and AI for risk management. In Disrupting Finance (pp. 33-50). Palgrave Pivot, Cham.
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Greetings,
I am a Ph.D. student and have the following assignmnet:
Research in databases and business intelligence. Your task for this week is to recreate an experiment conducted in a recent research paper. Select a study to recreate which has been published in the last two years.
Where can I find experiments that I can do at home?
Thank you,
Jack
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Dear Jack Baxter,
If the condition is to find experiments suitable to be conducted in a remote way, maybe you can prioritize online questionaires. You can search through academic sites such as Springer, Science Research, Google Scholar, Academia.edu. Obviously I suggest to do your search through this platform, in my experience I have got interesting outcomes.
Best,
Pía
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Hello everyone
what are differences and similarities between data science, data analysis and business intelligence?
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The three (data science, data analysis and business intelligence) involve data. In fact, data science and business intelligence involve data analysis.
In the practice, there can easily be an overlapping of techniques as deemed necessary for a specific work.
Business intelligence is more focused on the output, visuals and end-user tools that a business consumes to benefit from frequently updated figures. It had its boom a decade or two ago, when the expertise was very expensive and demanded, although the market continues growing nowadays. It deals more with the structuring and standardization of data objects in a data warehouse, and sometimes cubes, with all its specialized source data processing (e.g. ETL, ELT) end to end methods.
Data science, on the other hand, has been there for much longer. It is more about the methodologies, scientific approaches and ad-hoc analyses than the tools. It normally does not spend too much on the look and feel of the output, but rather on the meaning and value of the insights or findings of experiments. It includes machine learning algorithms, models, data pipeline and exploration techniques for which you can find literature dating back to 50 years ago. There are data scientists and/or statisticians in laboratories or offices employing data science alike.
While it is acceptable that a data science assignment is done by a single person, a business intelligence work in a professional environment used to demand two or more experts (front- and back-end). However, the industry has been changing, and the empowerment of end-users with self-service is sacrificing process stability in exchange for faster, more agile results, leading to a combination of different practices. As recent example: super users or citizen developers using Power BI with Python for machine learning.
In case you meant data analytics (instead of data analysis), this deserves much more writing, but in summary: it covers a combination of multiple (if not all and more) of the above concepts. It deals with supervised and unsupervised machine learning, like in data science, but spanning from descriptive and predictive to prescriptive and cognitive data analysis techniques.
Each topic can have a full book of details and there will be multiple points to compare, with more similarities than differences in terms of data management practices.
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What are the determinants of improving the marketing activities of enterprises through the use of advanced information, teleinformation, communication, Internet and advanced information processing technologies?
In my opinion, the development of Internet information services will be determined by technological progress in the field of new ICT technologies and advanced data processing techniques typical of the current technological revolution, known as Industry 4.0.
The development of information processing technology in the era of the current technological revolution determined by Industry 4.0 is determined by the application of new information technologies, for example in the field of e-commerce and e-marketing. These solutions are the basis for business success of the largest Internet technology companies that offer on the Internet information retrieval services, data collection and processing in the cloud (eg Google) and providing information services on developed social media platforms (eg Facebook, Instagram, YouTube, Tweeter, LinkedIn, Pinterest, and others).
The current technological revolution known as Industry 4.0 is motivated by the development of the following factors: Big Data database technologies, cloud computing, machine learning, Internet of Things, artificial intelligence, Business Intelligence and other advanced data mining technologies. The mentioned information technologies in connection with the improvement of ICT and communication technologies, with the progressive process of increasing computing power of computers will become an important determinant of technological progress in various branches of industry in the coming years.
On the basis of the development of the new technological solutions in recent years, dynamically developing processes of innovatively organized analyzes of large information sets stored in Big Data database systems and computing cloud computing for applications in such areas as: machine learning, Internet of Things, artificial intelligence are dynamically developing, Business Intelligence. Added to this are additional areas of application of advanced technologies for the analysis of large data sets such as Medical Intelligence, Life Science, Green Energy, etc. Processing and multi-criteria analysis of large data sets in Big Data database systems is made according to the V4 concept, ie Volume (meaning number of data), Value (large values ​​of specific parameters of the analyzed information), Velocity (high speed of new information appearing) and Variety (high variety of information).
The advanced information processing and analysis technologies mentioned above are used more and more often for marketing purposes of various business entities that advertise their offer on the Internet or analyze the needs in this area reported by other entities, including companies, corporations, financial and public institutions. More and more commercial business entities and financial institutions conduct marketing activities on the Internet, including on social media portals.
The abovementioned information and communication technologies combined with the improvement of ICT techniques and the implementation of Business Intelligence analytics to the processes of economic and financial, economic, macroeconomic and market analyzes may be instrumental to efficient and effective management of economic, investment and enterprises processes, including analyzes carried out for the purpose of improving marketing activities in enterprises.
More and more companies, banks and other entities need to conduct multi-criteria analyzes on large data sets downloaded from the Internet describing the markets on which they operate, as well as contractors and clients with whom they cooperate. On the other hand, there are already specialized technology companies that offer this type of analytical services, develop customized reports that are the result of multicriteria analyzes of large data sets obtained from various websites and from entries and comments on social media portals.
Do you agree with me on the above matter?
In the context of the above issues, I am asking you the following question:
What are the determinants of improving the marketing activities of enterprises through the use of advanced information, teleinformation, communication, Internet and advanced information processing technologies?
Please reply
I invite you to the discussion
Thank you very much
Best wishes
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Marketing 4.0 emerged in consequence of various changes sourced from intense global competition, new type of consumers and rapid development in technologies (Vassileva, 2017). Actually, whether it is a new phenomenon or it is a modification of existing marketing implementations is discussed in the literature (Jara et al., 2012, p. 854; Tarabasz, 2013, p. 129; Nowacki 2015, p. 315). Like previous marketing concepts, customers are still the center of the marketing activities however; the difference lies behind the market conditions. Marketing 4.0 is operated in extremely cybernetic marketing system in which business transactions and customer activities can be monitored in real time (Dholakia et al., 2010, p.497). Marketing 4.0 focuses on satisfaction of customers’ needs and desires like first two generations and it tries to create value for all entities like third generation. In addition to them, it offers a direct interaction of consumers with products with enhanced technology (Jara et al., 2012, p. 854). Consumers can either display the features of the product or purchase it by scanning matrix barcode, radio frequency identification (RFID) and near field communication (NFC) tags themselves.... BAŞYAZICIOĞLU, H. N., & Karamustafa, K. (2018). Marketing 4.0: impacts of technological developments on marketing activities. Kırıkkale Üniversitesi Sosyal Bilimler Dergisi, 8(2), 621-640.
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Logistics of production + Business Intelligence + Internet of Things + Learning machines + Internet + Big Data = Advanced analytics supporting production logistics processes?
Is the combination of currently developed technologies of Industry 4.0, ie above all advanced information technologies: Business Intelligence + Internet of Things + Learning machines + Internet + Big Data and Internet ICT and their application in the field of production logistics will lead in the next years to the emergence of advanced support analytics production logistics processes, including the development of production e-logistics?
Please reply
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Thank you very much
Best wishes
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... Industry 4.0 is expected to have a significant impact on supply chains, business models, and processes in order to achieve an MSC. Researchers use different names for Industry 4.0 in the supply chain management context: digital supply network (DSN), Internet of Things, E-Supply Chain, Supply Chain 4.0, E-logistics, or Logistics 4.0...Industry 4.0 increases digitalization and automation in manufacturing, and creates a digital process to facilitate interaction among all parts of a company. By implementing Industry 4.0 in the supply chain systems, four main SC elements—integration, operations, purchasing, and distribution—are affected and can increase the productivity of companies as well (Kayikci, 2018).... The main benefits of Industry 4.0 in the SC are to reduce the lead time for delivery of products to customers, reduce the time to respond to an unforeseen event, and to prompt a significant increase in decision-making quality (Barreto et al., 2017).... Industry 4.0 can help companies afford complicated and dynamic processes in their SC and to handle large-scale production and integration of customers (Rennung et al., 2016).... Industry 4.0 can bring positive benefits in current sales and operations planning and also in the logistics process (Santos et al., 2017).... After implementing Industry 4.0, real-time information can be shared across this digitalized process to drive useful decisions. ...
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In managing the technology of advanced processing and analysis of large information sets in Big Data database systems, there is no hope but it is already used in practice. Big Data database systems are used in many fields of analysis of large data sets and support business management processes, among others by supporting processes carried out in Business Intelligence framework.
Do you agree with me on the above matter?
In the context of the above issues, the following question is valid:
Do Big Data technologies support business management processes?
In what direction will the process of research and application of Big Data technology, which support business management processes, progress?
Please reply
Best wishes
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Yes, they do.
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The development of IT and information technologies increasingly affects economic processes taking place in various branches and sectors of contemporary developed and developing economies.
Information technology and advanced information processing are increasingly affecting people's lives and business ventures.
The current technological revolution, known as Industry 4.0, is determined by the development of the following technologies of advanced information processing: Big Data database technologies, cloud computing, machine learning, Internet of Things, artificial intelligence, Business Intelligence and other advanced data mining technologies.
In connection with the above, I would like to ask you:
How to measure the value added in the national economy resulting from the development of information and IT technologies?
Please reply
Best wishes
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Dear Tarandeep Anand, Reza Biria, Krishnan M S, Thank you very much for participating in this discussion and providing inspiring and informative answers to the above question: How to measure the value added in the national economy resulting from the development of information and IT technologies? Thank you very much for your inspiring, interesting and highly substantive answer.
Thank you very much and best regards,
Dariusz Prokopowicz
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What connections exist or may exist in the future between Blockchain technology and other online information technologies?
In my opinion, Internet information technologies and Blockchain will be intensively developed in the coming years and there will be more and more applications in which it will be possible to connect technologies typical of the current industrial revolution known as Industry 4.0 as: Big Data database technologies, cloud computing, machine learning, Internet of Things, artificial intelligence, Business Intelligence, Data Mining, Blockchain and other technologies for the analysis and processing of digital information.
Please, answer, comments.
I invite you to the discussion.
Best wishes
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great question
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Dear researchers im looking for information technology management(business intelligence orientation) phd thesis. i googled my question and found many topics but most of them have it or management label which is not what im looking for. i just want to fin ones directly for it management .
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Dear friend
As like you, I’m following to found out the best PhD. Subject, but I’ve confused in many items. But, as my mentor suggested me to focus in two main issues . As we’re PhD. Candidate, our proposal should be able to contribute in ISI journal or other academic area. The second one it should be applicable or able to solve an important problem for any organization or you may interest cutting edges of pure science . You may need to support by any organization. So in my recommendation, please make a comparative ( important – approach) matrix, and you may concern in three major items( inputs , process, outputs )and compare whit your capabilities , goals, and destination . Then you may choose the best subject that you interested in.
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Dear all,
my master is about self-service BI software and the usage of the BI-software for a specific case: for resource planning of research projects, +usage the software in the controlling. (for example, for planning of employee capacities/resources)
my second question is: Are there any specific modules/functions in the software to support the resource planning?
-for example predictive Analytics or calendar function?
It would be very nice to discuss this topic with you.
Many thanks for your help,
Brigitta
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Business intelligence is a very important component of project management and success
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Thats for a business intelligence work of my university, thanks!
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If you need all of the United States or an individual state, I would recommend that you contact the National Climate Data Center (NCDC) with the National Oceanic Atmospheric Administration (NOAA) at ncdc.noaa.gov. Historic weather data for the USA is stored by NOAA and allows the public to access the weather records at NCDC. A Contact selection is at the top of the page, you can ask your question there. I don't know how far this agency's records go back but they have an enormous amt of records stored there. Occasionally I might need this info in my Environmental gov position, but we just order the records from NOAA that we need. I think that you should be able to gain access to the information for some of the years if not all of the years that you need online.
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I'm reviewing the article of Big Data Analytics on Business Intelligence.
But I still don't understand the related BDA and BI and BDA Process on BI.
Could you please help me?
My question is:
- what is the relationship between the BDA and BI?
- what is the BDA Process on BI?
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Big Data Analytics is multi-criteria, complex analytical processes carried out on large data sets. On the other hand, Business Intelligence is analytics carried out using advanced research formulas, complex algorithms, in systems that collect data from various sources, aggregate, statistically processing, reporting according to the question asked and the purpose of the research. Currently, the importance of analytical processes and the construction of computerized analytical platforms combining Big Data Analytics, Business Intelligence and other advanced data processing technologies Industry 4.0 is growing, including the implementation of Internet of Things technologies into these analytical platforms, cloud computing, learning machines, artificial intelligence, etc. to develop prognostic analyzes. I wrote more about this in the comments, questions and answers on my Research Gate profile. I conduct research in this area. The conclusions of the research I published in scientific publications that are available on the Research Gate portal.
Best wishes.
Dariusz Prokopowicz
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Are Big Data database technologies already used to improve fundamental and technical analysis for capital companies whose securities issued by these companies are traded on the stock exchange market?
Fundamental and technical analysis are basic research methods of verification of available economic and financial data, market data and developments on the stock exchange market, whose primary function is to provide the necessary information for the purpose of making decisions on investing in securities.
For many years, discussions and considerations inspired by such questions have been conducted:
- What kind of analysis of economic and other data provides better knowledge for investing in securities listed on the stock exchange?
- Which analysis, ie fundamental or technical analysis, provides better knowledge for investing in securities listed on the stock exchange?
- Thanks to which analysis, ie fundamental and technical analysis, investors achieve the best results in investing, the highest returns on investment in securities listed on the stock exchange?
- Which investment strategies are the most effective? Are the most effective investment strategies based on conducting fundamental or technical analysis and maybe on a specific combination of both types of analysis?
However, due to the development of new computerized technologies of advanced processing of large collections of information, new questions have recently appeared in the field of fundamental and technical analysis in the context of investment decisions made for financial and investment transactions carried out on capital markets.
The current technological revolution, known as Industry 4.0, is determined by the development of the following technologies of advanced information processing: Big Data database technologies, cloud computing, machine learning, Internet of Things, artificial intelligence, Business Intelligence and other advanced data mining technologies.
Some of the advanced technology information technologies typical of the current technological revolution are already used for the improvement of analytical processes conducted in various fields of knowledge. One of these areas is the issue of economic and financial analyzes, the aim of which is to diagnose the situation of a particular enterprise, financial institution, issuer of securities or another economic entity.
In connection with the above, I am asking you with the following query:
Are Big Data database technologies already used to improve fundamental and technical analysis for capital companies whose securities issued by these companies are traded on the stock exchange market?
Please reply
I invite you to the discussion
Thank you very much
Best wishes
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yes
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How do Business Intelligence (BI) and Big Data (Business) Analytics (BDA) contribute towards designing Strategic Performance Management Framework?
Kindly share your comments, thinking and any relevant research on it. Thanks in advance.
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Dear Deepak Verma:
Congratulations and thank you so much for asking this most valuable question with all of us! In that regard, Business Intelligence (BI) and Big Data (Business) Analytics (BDA) may contribute towards designing Strategic Performance Management Framework with the idea, which focuses on the deep and height increase in the tools, methods, and processes that lead to provide facilities for mechanical organization, which are called business intelligent. In this way, I believe that it might provide us with very good tools that entrepreneurs may utilize for business model enhancement as well as for nature principles, rhythms, or cycles. However, we must combine both Business Intelligence that collects data from the past and Business Analytics that allows us to build a clearer vision of the future. In any case, both tools can be complemented to develop a detailed analysis of the business and future of a company in order to make better decisions.
Warm regards,
Javier
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Both sub-fields propose useful algorithms to address somehow different problems. What is the difference between the problems? How this difference influence the structure of methods to solve them?
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By the way, you can look in here:
Conference Paper Process Mining Manifesto
This paper is well cited and offers a conceptual clarity to which you can refer.
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Does the use of Big Data database technologies and Business Intelligence analytics increase the accuracy of economic and financial analyzes carried out?
Do the results of the analyzes carried out using Big Data database technologies and Business Intelligence analytics allow improving the accuracy of conducted economic and financial analyzes and other analyzes of the type of technical analysis, fundamental analysis and other analysis of economic performance, economic and financial situation, property valuation, determination of business development perspectives , joint-stock companies, issuers of securities whose securities are traded on the stock exchange on the stock exchange?
In the context of the above discussion, another question arises:
Does it result in the use of Big Data database technologies and Business Intelligence analytics for technical analysis, fundamental analysis and other analysis of economic effectiveness, economic and financial situation, property valuation, determining the development perspectives of enterprises, joint-stock companies, issuers of securities whose securities are located in the stock exchange trading on the stock exchange, the efficiency of analytical processes increases? Do the results of conducted analyzes using Big Data database technologies and Business Intelligence analytics allow to improve the accuracy of conducted analyzes and increase the probability of prediction, forecasted phenomena and economic processes occurring?
Do you agree with my opinion on this matter?
In view of the above, I am asking you the following question:
Do the results of the analyzes carried out using Big Data database technologies and Business Intelligence analytics allow improving the accuracy of conducted economic and financial analyzes and other analyzes of the type of technical analysis, fundamental analysis and other analysis of economic performance, economic and financial situation, property valuation, determination of business development perspectives , joint-stock companies, issuers of securities whose securities are traded on the stock exchange on the stock exchange?
Please reply
I invite you to the discussion
Thank you very much
Dear Colleagues and Friends from RG
The issues of the use of information contained in Big Data database systems for the purposes of carrying out Business Intelligence analyzes are described in the publications:
I invite you to discussion and cooperation.
Best wishes
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Following
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Data warehousing is becoming increasingly vital in the world today
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Data warehousing and blochchain
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How to describe the process of analyzing statistical data carried out with the help of Business Intelligence in Big Data database systems?
How to describe the main models of statistical data analysis carried out with the help of computerized Business Intelligence tools used for the analysis of large data sets processed in the cloud and analyzed multi-criteria in Big Data database systems?
Please reply
Dear Colleagues and Friends from RG
Some of the currently developing aspects and determinants of the applications of data processing technologies in Big Data database systems are described in the following publications:
The issues of the use of information contained in Big Data database systems for the purposes of conducting Business Intelligence analyzes are described in the publications:
I invite you to discussion and cooperation.
Best wishes
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I found the answer in this paper.
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Can you use Business Intelligence analytics for research into any type of business, including those run by innovative, technological startups?
Can Business Intelligence analytics be used to research and analyze the effectiveness of business operations carried out by innovative technological startups?
Are expensive computerized systems and analytical platforms on which Business Intelligence analytics tools are built are currently also available for business entities functioning as innovative, technological startups?
The first computerized systems and analytical platforms on which the Business Intelligence analytics tools were built were, due to the high construction costs of these systems, available mainly to large enterprises, corporations and financial institutions. However, as part of technical progress in IT and the dissemination of business analytics tools, successively computerized systems and analytical platforms on which Business Intelligence analytics tools are built are also available for smaller companies, currently mainly located in the SME sector.
Currently, IT companies that produce ready-made multi-functional, multi-module computerized systems and analytical platforms Business Intelligence also create versions dedicated to specific types of business entities representing also the SME sector. Informatized systems and analytical platforms on which Business Intelligence analytics tools are built facilitate the ongoing economic and financial analyzes of business entities and are helpful in the process of company management. I described the above issues in my scientific publications, to which links are given below.
Do you agree with my opinion on this matter?
In view of the above, I am asking you the following question:
Is it possible to apply Business Intelligence analytics to the study of business activities of innovative startups?
Please reply
I invite you to the discussion
Dear Colleagues and Friends from RG
The key aspects and determinants of applications of data processing technologies in Big Data database systems are described in the following publications:
I invite you to discussion and cooperation.
Best wishes
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Possible, but other approaches may be more successful, particulary new and innovative.
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Welcoming the greetings of academics and IT professionals
The future questionnaire is designed to evaluate the effect of systematically effective on the application of business intelligence systems in small and medium-sized enterprises, taking into account the variable of adjustment of the integrity of this relation for an applied research. Systematic factors are divided into five groups: organizational factors, project management and planning, technical and technological management, and expectations and requirements management as well as the use of business intelligence systems in two levels: 1. Selection and 2. Establishment and maintenance of business intelligence systems. It is a good idea to read the questions carefully and respond to them. We thank you in advance of giving us our honorable time.
How to answer: Scores include 1 (very low), 2 (low), 3 (average), 4 (high), 5 (very high)
Please click on the link below
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Dear
Mila Ilieva
Thank you for your opinion
Please complete the questionnaire if possible
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Big Data database systems can significantly facilitate the analytical processes of advanced processing and testing of large data sets for the needs of statistical surveys.
The current technological revolution, known as Industry 4.0, is determined by the development of the following technologies of advanced information processing: Big Data database technologies, cloud computing, machine learning, Internet of Things, artificial intelligence, Business Intelligence and other advanced data mining technologies. All these advanced data processing and analysis technologies can significantly change and facilitate the analysis of large statistical datasets in the future.
Do you agree with my opinion on this matter?
In view of the above, I am asking you the following question:
Will analytics based on data processing in Big Data database systems facilitate the analysis of statistical data?
Please reply
I invite you to discussion and scientific cooperation
Best wishes
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I am with Alexander & James on this. First, Nearly, all so-called big-data is "it-is-what-it-is" data (i.e. The analyst has no control over how the data is collected. Under these circumstances the selection process for the sample is non-random & the selection probabilities are typically unknowable. One is often not even certain if the sample is from 1 unique population.) Under such circumstances biases can arise & their effects are not measurable. For something like sales; big-data can be highly applicable & population specific because it represents a sample from one's particular population: your customers. Yet, if it represents health records, one has to wonder whether or not the source for these record misses some parts of the population or over-represents sub-populations. I think solid "statistical thinking" can help big-data analysis more than the other way around.
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Yes, the processing of large data sets in Big Data database systems can support the analysis of data from the company's accounting, including conducting Business Intelligence analytics, including multi-criteria economic, financial and indicator analyzes.
Do you agree with my opinion on this matter?
In view of the above, I am asking you the following question:
Can the processing of large data sets in Big Data database systems support the analysis of data from the company's accounts?
Please reply
I invite you to discussion and scientific cooperation
Best wishes
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Indubitably , as you have astutely predicted, Big Data and Machine Learning are most likely alternatives for future data analyses.
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How is business intelligence useful for fraud detection?
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Montengrin famous poet Njegoš say: Over all this ugly mixture,
again intellectaul force operates.
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What are the applications of advanced computerized information processing techniques, eg in the cloud, on Business Intelligence analytical platforms and using information collected in Big Data database systems in economic and financial analyzes of business entities?
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Various hedge funds do it all the time. Please refer to their state of the art and plentiful documentation.
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Can advanced data processing in the cloud, Big Data database systems and Business Intelligence analytical platforms be helpful in the processes of restructuring and improving logistics of the functioning of production processes?
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Notably, the significance of supply chain management and and the ways by which it will facilitate and improve production processes is known to those involved in modern industrial enterprises. This requires much IT investment which in turn depends on managing and maintaining big data. In point of fact, large data sets are required to analyze computationally to reveal patterns, trends, and associations which may shed light on logistics management and production engineering . However, promoting sustainable development simply encourages technological advances that are a threat to the earth's resources. As such, the use of big data analysis and interpretation should aim at enhancing Green Logistics in order to help the effective functioning of production processes.
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In my opinion, some banks and corporations develop systems of integrated, multi-faceted, based on improving advanced analytical models of risk management supported by analytics based on data processing techniques on computerized Business Intelligence platforms.
Do you agree with me on the matter?
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Always requires to.
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In which areas of enterprise operation, in what types of economic activities, in what types of services advanced processing of large information collections is employed an analyst at the Big Data Scientist position?
In which branches of the economy is an analyst employed in the position of Big Data Scientist?
Apparently, this is one of the future occupations, which will grow in demand, because there will be a growing number of companies interested in building their own Big Data database systems or using advanced processing of large data sets as part of the analysis of conducting economic analysis and Business Intelligence.
In what areas of business, economy, operation of companies and corporations will there be a growing need in the future to hire an analyst as Big Data Scientist?
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