Business Intelligence - Science topic

The ongoing technological advances in ICT and Industry 4.0/5.0, including Big Data Analytics, Data Science, cloud computing, generative artificial intelligence, Internet of Things, multi-criteria simulation models, digital twins, Blockchain, etc., make it possible to carry out advanced data processing on increasingly large volumes of data and information. The aforementioned technologies contribute to the improvement of analytical processes concerning the operation of business entities, including, among others, in the field of Business Intelligence, economic analysis as well as in the field of predictive analytics in the context of forecasting processes, trends, economic phenomena. In connection with the dynamic development of generative artificial intelligence technology over the past few quarters and the simultaneous successive increase in the computing power of constantly improved microprocessors, the possibilities of improving predictive analytics in the context of forecasting economic processes may also grow.

In view of the above, I address the following question to the esteemed community of scientists and researchers:

And what is your opinion on this topic?

What is your opinion on this issue?

Please answer,

I invite everyone to join the discussion,

Thank you very much,

Best regards,

Dariusz Prokopowicz

Competition @Game #Libertarian ^Benefit *Self %Assure (Force)

Regulation (Transparency) %Private *Alternate ^Human #Converse @Individual

Distillation @Actuaries #Minimums ^Alternate *Value %Rational (Divinity)

Conceiving perceived reality prior to delivery involves Business Intelligence.

Associated Next-Generation Utility creates impetus for "What is BEST".

Answers A-Z Questions Answer Z-A dependent upon Well-Formed Context.

Conceiving Associated Answers = perceived Next-Generation Questions == reality Utility Answers === prior creates Z-A ==== to delivery impetus dependent ===== Business Intelligence for "What is Best" upon Well-Formed Context.

HELP USE Energy Law INTUIT x Aura-Tech = HowWay @Spartan #RAEL ^IT *Way %99 (1)

Is it possible to build a highly effective, multi-faceted, intelligent forecasting system for future financial and economic crises based on artificial intelligence technology in combination with Data Science analytics, Big Data Analytics, Business Intelligence and/or other Industry 4.0 technologies as part of a forecasting system for complex, multi-faceted economic processes in such a way as to reduce the scale of the impact of the paradox of a self-fulfilling prediction and to increase the scale of the paradox of not allowing a predicted crisis to occur due to pre-emptive anti-crisis measures applied?

What do you think about the involvement of artificial intelligence in combination with Data Science, Big Data Analytics, Business Intelligence and/or other Industry 4.0 technologies for the development of sophisticated, complex predictive models for estimating current and forward-looking levels of systemic financial, economic risks, debt of the state's public finance system, systemic credit risks of commercially operating financial institutions and economic entities, forecasting trends in economic developments and predicting future financial and economic crises?

Research and development work is already underway to teach artificial intelligence to 'think', i.e. the conscious thought process realised in the human brain. The aforementioned thinking process, awareness of one's own existence, the ability to think abstractly and critically, and to separate knowledge acquired in the learning process from its processing in the abstract thinking process in the conscious thinking process are just some of the abilities attributed exclusively to humans. However, as part of technological progress and improvements in artificial intelligence technology, attempts are being made to create "thinking" computers or androids, and in the future there may be attempts to create an artificial consciousness that is a digital creation, but which functions in a similar way to human consciousness. At the same time, as part of improving artificial intelligence technology, creating its next generation, teaching artificial intelligence to perform work requiring creativity, systems are being developed to process the ever-increasing amount of data and information stored on Big Data Analytics platform servers and taken, for example, from selected websites. In this way, it may be possible in the future to create "thinking" computers, which, based on online access to the Internet and data downloaded according to the needs of the tasks performed and processing downloaded data and information in real time, will be able to develop predictive models and specific forecasts of future processes and phenomena based on developed models composed of algorithms resulting from previously applied machine learning processes. When such technological solutions become possible, the following question arises, i.e. the question of taking into account in the built intelligent, multifaceted forecasting models known for years paradoxes concerning forecasted phenomena, which are to appear only in the future and there is no 100% certainty that they will appear. Well, among the various paradoxes of this kind, two particular ones can be pointed out. One is the paradox of a self-fulfilling prophecy and the other is the paradox of not allowing a predicted crisis to occur due to pre-emptive anti-crisis measures applied. If these two paradoxes were taken into account within the framework of the intelligent, multi-faceted forecasting models being built, their effect could be correlated asymmetrically and inversely proportional. In view of the above, in the future, once artificial intelligence has been appropriately improved by teaching it to "think" and to process huge amounts of data and information in real time in a multi-criteria, creative manner, it may be possible to build a highly effective, multi-faceted, intelligent forecasting system for future financial and economic crises based on artificial intelligence technology, a system for forecasting complex, multi-faceted economic processes in such a way as to reduce the scale of the impact of the paradox of a self-fulfilling prophecy and increase the scale of the paradox of not allowing a predicted crisis to occur due to pre-emptive anti-crisis measures applied. In terms of multi-criteria processing of large data sets conducted with the involvement of artificial intelligence, Data Science, Big Data Analytics, Business Intelligence and/or other Industry 4. 0 technologies, which make it possible to effectively and increasingly automatically operate on large sets of data and information, thus increasing the possibility of developing advanced, complex forecasting models for estimating current and future levels of systemic financial and economic risks, indebtedness of the state's public finance system, systemic credit risks of commercially operating financial institutions and economic entities, forecasting economic trends and predicting future financial and economic crises.

In view of the above, I address the following questions to the esteemed community of scientists and researchers:

What do you think about this topic?

What is your opinion on this subject?

Please respond,

I invite you all to discuss,

Thank you very much,

Warm regards,

Dariusz Prokopowicz

Any background and perspectives?

Who has references on business intelligence and its role in the world rankings of universities, please provide me with that

Munsell (Color) x Kirlian (Effect) + Fourier (Analysis) = Meta BI (Systemics)

Significance of big data in business analytics

The development of innovation and entrepreneurship, including the effective development of innovative startups using new technologies in business, is among the key determinants of a country's economic development. Among the important factors supporting the development of innovativeness and entrepreneurship, apart from system facilitations, a favourable tax system, low interest rates on investment loans, available non-refundable financial subsidies, there is also the issue of the possibility of implementing new technologies, including Industry 4. 0, including, but not limited to, technologies such as artificial intelligence, machine learning, deep learning and Big Data Analytics, Internet of Things, digital twins, multi-criteria simulation models, cloud computing, robots, horizontal and vertical data system integration, additive manufacturing, Blockchain, smart technologies, etc., can be helpful in the process of improving the management of economic entities, including service companies, manufacturing enterprises and innovative start-ups. These information technologies and Industry 4.0 can also help to improve Business Intelligence used in business management. The key issue is the proper combination of applied Industry 4.0 technologies to create computerised platforms supporting the processes of managing both the current, operational functioning of economic entities and in the processes of forecasting the determinants of the development of companies and enterprises, in the creation of forecasting models of simulation of development for a specific economic entity, which may also be an innovative start-up. In recent years, attempts have been made in larger business entities, corporations, financial institutions, including commercial banks, to create computerised Business Intelligence analytical platforms improved through a combination of applied technologies such as machine learning, deep learning and a specific generation of artificial intelligence applied to Big Data Analytics platforms. Such processes for improving Business Intelligence analytical platforms are carried out in order to support the management of the effective operation and development of a commercially operating specific business entity. Therefore, in a situation where specific financial resources are available to create analogous Business Intelligence analytical platforms, it is possible to apply an analogous solution to support the management of the effective operation and development of a commercially functioning specific innovative start-up.

In view of the above, I address the following question to the esteemed community of scientists and researchers:

And what is your opinion on this topic?

What is your opinion on this subject?

Please respond,

I invite you all to discuss,

Thank you very much,

Best wishes,

Dariusz Prokopowicz

What are the potential applications of machine learning, deep learning, artificial intelligence, Big Data Analytics and other Industry 4.0 technologies in conducting multi-criteria economic and financial analyses of the historical and current performance of economic entities and making predictions about the future development of their business, analyses carried out on computerised Business Intelligence platforms?

As a result of technological advances, the potential for the application of machine learning, deep learning, artificial intelligence, Big Data Analytics and other Industry 4.0 technologies to perform multi-criteria economic and financial analyses of the historical and current functioning of businesses and to make predictions about the future development of their business, analyses carried out on computerised Business Intelligence platforms, is rapidly increasing. New ICT information technologies and Industry 4.0, including Artificial Intelligence, Machine Learning, Deep Learning, Big Data Analytics but also Data Science, Smart Technologies, Cloud Computing, Machine Learning, Personal and Industrial Internet of Things, Autonomous Robots, Horizontal and Vertical Data System Integration, Multi-Criteria Simulation Models, Digital Twins, Additive Manufacturing, Blockchain, Cyber Security Instruments, Virtual and Augmented Reality and other Advanced Data Mining technologies support the management processes of a company, enterprise or financial institution. In recent years, the aforementioned new technologies are helping to improve the management processes of supply logistics, procurement, production, service offering; marketing communication and customer relationship management; risk management; cyber security management; economic and financial analysis management, financial auditing, etc. Therefore, within the framework of the technological advances taking place, including the increasing computational capabilities of successive generations of processors and operational memory installed in computers, increasing disk capacities, storage media, increasing data transfers, etc., the possibilities of applying artificial intelligence and Big Data Analytics in carrying out multi-criteria economic and financial analyses of business entities, analyses carried out on computerised Business Intelligence platforms, are successively increasing. Consequently, the possibilities for the application of multi-criteria analytics carried out on computerised Business Intelligence platforms are also increasing year on year, which also contributes to the improvement of organisational management processes.

In view of the above, I address the following question to the esteemed community of scientists and researchers:

What do you think about this topic?

What is your opinion on this subject?

Please respond,

I invite you all to discuss,

Thank you very much,

Best wishes,

Dariusz Prokopowicz

The economic development of a country is determined by a number of factors, which include the level of innovativeness of economic processes, the creation of new technological solutions in research and development centres, research institutes, laboratories of universities and business entities and their implementation into the economic processes of companies and enterprises. In the modern economy, the level of innovativeness of the economy is also shaped by the effectiveness of innovation policy, which influences the formation of innovative startups and their effective development. The economic activity of innovative startups generates a high investment risk and for the institution financing the development of startups this generates a high credit risk. As a result, many banks do not finance business ventures led by innovative startups. As part of the development of systemic financing programmes for the development of start-ups from national public funds or international innovation support funds, financial grants are organised, which can be provided as non-refundable financial assistance if a startup successfully develops certain business ventures according to the original plan entered in the application for external funding. Non-refundable grant programmes can thus activate the development of innovative business ventures carried out in specific areas, sectors and industries of the economy, including, for example, innovative green business ventures that pursue sustainable development goals and are part of green economy transformation trends. Institutions distributing non-returnable financial grants should constantly improve their systems of analysing the level of innovativeness of business ventures planned to be implemented by startups described in applications for funding as innovative. As part of improving systems for verifying the level of innovativeness of business ventures and the fulfilment of specific set goals, e.g. sustainable development goals, green economy transformation goals, etc., new Industry 4.0 technologies implemented in Business Intelligence analytical platforms can be used. Within the framework of Industry 4.0 technologies, which can be used to improve systems for verifying the level of innovativeness of business ventures, machine learning, deep learning, artificial intelligence (including e.g. ChatGPT), Business Intelligence analytical platforms with implemented Big Data Analytics, cloud computing, multi-criteria simulation models, etc., can be used. In view of the above, in the situation of having at one's disposal appropriate IT equipment, including computers equipped with new generation processors characterised by high computing power, it is possible to use artificial intelligence, e.g. ChatGPT and Big Data Analytics and other Industry 4.0 technologies to analyse the level of innovativeness of new economic projects that plan to develop new start-ups implementing innovative business solutions, technological, ecological, energy and other types of innovations.

In view of the above, I address the following question to the esteemed community of scientists and researchers:

What do you think?

What is your opinion on this subject?

Please respond,

I invite you all to discuss,

Thank you very much,

Warm regards,

Dariusz Prokopowicz

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

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!

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.

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.

first I need to analyze and try to answer for predictive and prescriptive maintenance questions

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.

Identifying the level of intelligence maturity in the agricultural sector and comparing BI maturity models to design a specific model of agricultural intelligence

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

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

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:

Please reply

I invite you to the discussion

Thank you very much

I invite you to discussion and cooperation.

Best wishes

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:

Please reply

I invite you to discussion and scientific cooperation

Dear Colleagues and Friends from RG

I invite you to discussion and cooperation.

Best wishes

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:

Please reply

I invite you to the discussion

Thank you very much

Dear Colleagues and Friends from RG

I invite you to discussion and cooperation.

Best wishes

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

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

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

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

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

I propose an analysis of changes in behavioral behavior of consumers, business entities and other participants of individual markets, which can be observed on the basis of the analysis of entries, comments, posts, etc. typed by users of social media portals.

These studies are carried out as part of the sentiment analysis on data downloaded from the Internet and collected in Big Data database systems.

What is more interesting is the Business Intelligence type of analysis carried out in business entities using specialized software. The development of analytical platforms operating in the Business Intelligence formula automates and objectivises economic, financial and technical-economic analyzes regarding the functioning of business entities.

Please, answer, comments. I invite you to the discussion.

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

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

I invite you to discussion and cooperation.

Best wishes

as to my supply chain thesis I am interested in supply chain performance, KPI tree and business intelligence

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.

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

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

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

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.

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:

Please reply

I invite you to the discussion

Thank you very much

Best wishes

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

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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"

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?

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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.

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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:

Please reply

I invite you to the discussion

Thank you very much

Dear Colleagues and Friends from RG

I invite you to discussion and cooperation.

Thank you very much

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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:

Please reply

I invite you to the discussion

Thank you very much

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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

Hello everyone

what are differences and similarities between data science, data analysis and business intelligence?

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:

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Thank you very much

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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?

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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?

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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?

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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.

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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 .

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

Thats for a business intelligence work of my university, thanks!

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?

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:

Please reply

I invite you to the discussion

Thank you very much

Best wishes