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Accounting Processes - Science topic

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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.
I have been conducting research in this area for years. Among other things, the following conclusions have emerged from my research:
The rapid technological advances we have seen in recent years have had a huge impact on the development of Industry 4.0/5.0 technologies, which are increasingly supporting the management processes of business entities. Technologies such as Big Data, Data Science, Internet of Things (IoT), cloud computing, robotics and Artificial Intelligence (AI) are revolutionising the way companies operate and compete in the market. They make it possible to collect and analyse vast amounts of data, automate processes, optimise costs and personalise services. Companies that are able to use these technologies effectively gain a significant competitive advantage. As a result, the applications of these technologies in management systems can be expected to continue to grow rapidly, bringing even greater benefits to companies and institutions.
These technologies, including AI, are also being successfully implemented in computerised business management systems to support accounting and reporting. Automation of accounting processes, such as posting invoices, settling bank transactions or generating financial reports, is made possible by AI. AI algorithms can analyse financial data in real time, identifying irregularities and potential risks. In addition, AI supports audit processes, facilitating document verification and identifying areas of concern. In reporting, AI enables the generation of personalised reports, tailored to the needs of different stakeholders, such as the board of directors, investors or regulators. This makes financial information more readable and understandable, facilitating strategic decision-making. Implementing these technologies in accounting and reporting translates into increased efficiency, reduced costs, improved data accuracy and minimised risk of errors and fraud.
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?
I have described the issue much more extensively in the following articles:
APPLICATION OF DATA BASE SYSTEMS BIG DATA AND BUSINESS INTELLIGENCE SOFTWARE IN INTEGRATED RISK MANAGEMENT IN ORGANISATION
The importance of Big Data Analytics technology in business management
Growing importance of ICT, Industry 4.0 and Big Data Analytics as key determinants of the development of The Financial Industry 4.0
Business Intelligence analytics based on the processing of large sets of information with the use of sentiment analysis and Big Data
The Big Data technologies as an important factor of electronic data processing and the development of computerized analytical platforms, Business Intelligence
The Technological Solutions Big Data and the Importance of Business Analysis According to the Business Intelligence Formula
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,
I would like to invite you to scientific cooperation,
Dariusz Prokopowicz
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Dear Researchers, Scientists, Friends,
I have been conducting research in this area for years. Among other things, the following conclusions have emerged from my research:
I have been conducting research in this issue. Based on the results of my research, I conclude that for years management processes in organisations have been supported by computerised systems that improve and optimise their operations. These systems, based on ICT and Industry 4.0/5.0 technologies, including Big Data and Data Science, enable the processing of huge amounts of data, which translates into better business decisions. Business Intelligence systems, enhanced by these technologies, allow companies to monitor key indicators and predict market trends. In recent years, artificial intelligence (AI) has become another breakthrough in the development of these systems. AI, with its ability to learn and adapt, automates processes, personalises services and optimises operations. A variety of AI tools, such as chatbots and virtual robots, support employees, and AI applications, installed in internal systems, ensure data security. The growing importance of AI in management is undeniable, as it allows companies to compete more effectively in the market, better understand their customers and optimise costs. As a result, AI applications in management systems can be expected to continue to grow rapidly, bringing even greater benefits to companies and institutions.
I have described the issue much more extensively in the following articles:
APPLICATION OF DATA BASE SYSTEMS BIG DATA AND BUSINESS INTELLIGENCE SOFTWARE IN INTEGRATED RISK MANAGEMENT IN ORGANISATION
OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE APPLICATIONS AND THE NEED FOR NORMATIVE REGULATION OF THIS DEVELOPMENT
The Importance and Organization of Business Information Offered to Business Entities in Poland via the Global Internet Network
The importance of Big Data Analytics technology in business management
Growing importance of ICT, Industry 4.0 and Big Data Analytics as key determinants of the development of The Financial Industry 4.0
Business Intelligence analytics based on the processing of large sets of information with the use of sentiment analysis and Big Data
Cybersecurity of Business Intelligence Analytics Based on the Processing of Large Sets of Information with the Use of Sentiment Analysis and Big Data
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 regards,
I would like to invite you to scientific cooperation,
Dariusz Prokopowicz
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I'm currently working in germany for a medium-sized mechanical engineering company on business process modeling with BMPN 2.0 end-to-end. That was a very laborious process. Now there are decisions to be made. How to proceed with a digital transformation. Not only the paperwork is considered here, but also the integration of machines. Sales are still struggling. What experiences have you had with such projects? What suggestions can you give me?
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Hello,
In my practice, I've notice the usage of standard tools for process description enhances discussion and knowledge sharing more easily than other approaches.
A few explanations could be the acceptance of the authority of an approved standard, the lower barrier of entrance with free tools and training, the availability of a certification path for professionals.
Mind you, BPMN alone is not enough to describe the business practice: decision modeling with DMN and CMMN, system analysis with COBIT, data models and API using UML, performance indicators, and many others, are a few of the concepts I use in my 'knowledge toolkit'.
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Are sources of global or national financial, economic, debt, monetary and financial crises described and explained in recent years in scientific publications taken into account in financial supervision institutions in shaping prudential instruments, improving financial system security systems in order to increase this level of security and reduce risk potential future occurrence of similar, similar financial and economic crises, etc., thus improving the sustainable economic development of the country and the global economy?
Do you know examples of countries in which in recent years institutions of supervision over the financial system while shaping prudential instruments, improving financial systems security systems took into account the sources of global or national financial, economic, debt and monetary crises described and explained in recent years in scientific publications e.t.c.?
What types of prudential instruments, instruments of the process of improving financial risk management, including credit, liquidity, currency, debt or other, operational, market, etc. were improved by financial supervisors after the global financial crisis in 2008, which were proposed in the last years in scientific publications?
Is the importance of improving the credit risk management processes in financial institutions growing due to the continuation of processes and market situations occurring on financial markets, including capital markets, stock exchanges, used business practices in investment banking, forecasted decline in the global economic growth rate in 2019, emerging considerations about the subsequent re-evaluation of securities valuations, etc.?
Please, answer, comments.
I invite you to the discussion.
Best wishes
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Dear Madhukar Baburao Deshmukh,
Yes of course. Thanks for the answer.
Dariusz Prokopowicz
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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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Technology is played important role in the disruptive era, how to use it to support accounting process such as ERP or inventory counting. Moreover, if it could support, h ow to measure it.
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The technological development that the world is witnessing has an impact on the accounting and auditing profession, and one of the most important systems is the ERP system for what it possesses as a model for planning, control, and optimal and comprehensive use of human, technical and material resources and harnessing the latest technologies and information systems to accomplish business and services. In addition to the planning advantages achieved by allowing the facility to reduce costs, increase production, avoid inventory shortages, improve delivery performance, and increase flexibility in preparing what the customer needs
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The accounting profession will face significant changes in the next decades, and professional organizations, their members, and educational institutions should respond.
Is there a Need to Change Accounting Standards With Evolving Technology?
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From my point of view, as a result of the tremendous development in information technology and its reflection on the profession of accounting and auditing and the emergence of big data, this calls to the initiative of associations and accounting bodies to reconsider or add some things that must keep pace with the development taking place in information technology.
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please answer to my questions even with some sentences. best regards
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In the complexity thinking the main goal is to take consciousness about everything that surrounds the object of research, in this case an architectural project. Therefore, as has been said in the past answers, it is kind of a speciality in modern architecture, but I would recommend you to look into the history and theory of architecture because all the mayor parts of those designs have two main goals: 1) respond to the characteristics of the site (weather, soil, topography, etc.) and 2) be a symbolic reference for the people who live arround. Nevertheless, at the 19th century the mechanical and dynimic development grave to the world the technic and technological progress we all know for the construction of contemporary architecture, but the sensibility of careing about the enviroment as part of the design was getting lost in the way until the 70's when it was taken back, but it was seen more as an obstacle. Now, this days are more aware of it, but in some cases sustainability it's presented more like a shopping list of machines and certain materials, when it is more simple as that, is common sence, is being aware of where are standeing you and the proyect, it's a dialog instead of a lecture. I hope my answer could be helpful, but in case I recommend you to look for the books: Architecture for poor of Hassan Fathy, Thinking architecture of Peter Zumthor and Verb boogazine of Nature. Keep asking yourself and others, is always a great surprise to see this kind of questions, congratulations.
Greetings.
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Earnings management - discretionary accruals, real activity manipulation and classification shifting (abnormal non-core earnings).
Corporate govenance
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There is no direct answer as to whether or how high  CG impact accruals management (AM) or real activities management (RAM) because they happen under different circumstances.
It is argued that managers will use discretionary accruals to shift revenues between accounting periods or in deferring expenditures and academics can break these into two components of discretionary and non-discretionary accruals. Shortcomings of AM - previous studies have found that they have a low earnings management detection power, the methods fail to consider other factors that influence earnings management such as firm size and growth rate and the use of accrual based models to detect earnings management has been further complicated by the adoption of fair value accounting approach to financial reporting
For RAM, Graham et al. (2005) and Roychowdhury (2006) indicate that manipulation can assume many forms, including under-investment in research and development (R&D), advertising, and employee training, all for the purpose of meeting short-term goals. Abnormal gains on sale of assets to avoid negative earnings or negative earnings surprises also fall under real earnings activities. Preference for real activities arise from the ease with which the manipulation can bed one given that accrual approach are based on applying generally accepted accounting principles (GAAP) or IFRS. Failure to comply with GAAP can attract severe consequences. In other words, detection of real activities can be challenging for investors. Real activities management is therefore more plausible for earnings management but Hassan et al. (2014) argue that managers are likely to resort to the manipulation of real activities only when there is limited scope left for accrual manipulation.I have seen very few studies apply RAM.
And finaly, the impact on CG depends on the accuracy of your CG measurements. Nerantzidis (2015) talks of impact of weighting on CG. So once you get the three right, we can talk of how CG impacts EM and the extent.
Some great resources:
1.Hassan, S., Rahman, R. and Hossain, S. (2014). “Corporate Accruals Practices Of Listed Companies In Bangladesh”. European Journal Of Economics And Management Vol 1: 1
2. Kothari, S., Leone, A. and Wasley, C. (2005). “Performance matched discretionary accrual Measures”. Journal of Accounting and Economics, 39(1), 163-197.
3.Kothari, S., Mizik, N. and Roychowdhury, S. (2012). “Managing for the Moment:
The Role of Real Activity versus Accruals Earnings Management in SEO Valuation”.
4.Nerantzidis, M. and Tsalavoutas, I. 2015). “Does weighting really matter? The “blind spot” of corporate governance ratings”. Working Paper DOI: 10.13140/RG.2.1.4801.5441
Kind Regards
Erick Outa