Dear Friends and Colleagues of RG

The Busieness Intelligence analyst is currently one of the most important IT tools supporting business management processes. Data collection in Big Data database and advanced data processing and analysis Business Intelligence is currently the key information technology 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, Business Intelligence, machine learning, Internet of Things, artificial intelligence and other advanced Data Mining technologies.

I suggest the following questions and research problems in the above topic: When will artificial intelligence be implemented into the analytical Business Intelligence systems and what will be the consequences? The Business Intelligence systems currently being developed by IT technology companies and sold for companies support business management processes or a specific part of it. These systems, if they are connected to the Big Data database system and integrated with logistics, accounting, production, sales departments, inventories, relationships, contractors, financial institutions, etc., can significantly improve business management systems. If the whole system of obtaining and processing collected in Big Data information concerns all external and internal determinations of the company's operations and takes place in real time, the company has an excellent tool supporting decision-making processes. This type of tool allows you to make better decisions in the strategic and ongoing management of a company, corporation, financial institution or other type of business entity. However, in this area there is constant progress determined primarily by the creation of new ICT solutions, new data processing technologies, etc. Therefore, the following question arises: When will artificial intelligence be implemented into the analytical Business Intelligence systems and what are the consequences? Will business management become even easier after implementing artificial intelligence in Business Intelligence business intelligence systems? And if so, for what kind of business entities? or only for large corporations and financial institutions, in which millions of different categories of information are being processed on a daily basis, or such new-generation systems supporting decision making, will also be available for smaller companies and enterprises from the SME sector?

In addition, I suggest the following questions and research problems in the above topic: Do Big Data companies use Business Intelligence analyzes in enterprises operating in your countries? The Big Data database technology is finding new applications in business. Multi-criteria processing of huge data sets collected in Big Data database systems allows preparing reports in a relatively short time according to given criteria. The report development time depends mainly on the computing power of Big Data servers. In processes of complex economic and financial analyzes, risk management, etc. for the purpose of determining the economic and financial situation of business entities, they are increasingly carried out in computerized analytical platforms of the Business Intelligence type. Perhaps in the future, artificial intelligence will also be involved in this field of analytics. In some countries, IT companies have been operating for several years, which develop Big Data database technology for commercial and business purposes. Some technology companies produce Business Intelligence platforms for business entities. Research centers of the largest technology companies on the Internet develop technologies of artificial intelligence. It is only a matter of time to combine these various analytical and database technologies in computing cloud computing.

In addition, I suggest the following questions and research problems in the above topic: Do Big Data companies use Business Intelligence analyzes in enterprises operating in your countries? The Big Data database technology is finding new applications in business. Multi-criteria processing of huge data sets collected in Big Data database systems allows preparing reports in a relatively short time according to given criteria. The report development time depends mainly on the computing power of Big Data servers. In processes of complex economic and financial analyzes, risk management, etc. for the purpose of determining the economic and financial situation of business entities, they are increasingly carried out in computerized analytical platforms of the Business Intelligence type. Perhaps in the future, artificial intelligence will also be involved in this field of analytics. In some countries, IT companies have been operating for several years, which develop Big Data database technology for commercial and business purposes. Some technology companies produce Business Intelligence platforms for business entities. Research centers of the largest technology companies on the Internet develop technologies of artificial intelligence. It is only a matter of time to combine these various analytical and database technologies in computing cloud computing.

Another proposal for a research topic in this field: Are there any ongoing work to implement artificial intelligence into the processes of analyzing large collections of information collected in Big Data database systems and Business Intelligence analytics systems? 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.

I propose the following proposal for a research topic in this area: In which sectors of the economy, in what types of companies and corporations will the most dynamic technologies develop the analysis of large information collections in Big Data database systems and in the field of Business Intelligence analytics? The Big Data database technology is finding more and more applications in business. Multi-criteria processing of huge data sets collected in Big Data database systems allows preparing reports in a relatively short time according to given criteria. The report development time depends mainly on the computing power of Big Data servers. In processes of complex economic and financial analyzes, risk management, etc. for the purpose of determining the economic and financial situation of business entities, they are increasingly carried out in computerized analytical platforms of the Business Intelligence type. Perhaps in the future, artificial intelligence will also be involved in this field of analytics. In some countries, IT companies have been operating for several years, developing the Big Data database technology for commercial and business purposes. It is only a matter of time to combine these various analytical and database technologies in computing cloud computing.

The above discussion inspired me to the following considerations: Does the development of data processing and analysis technology in the field of Business Intelligence analytics in Big Data database systems and other technologies developed in the field of technological revolution Industry 4.0 generates new business management concepts? At present, in the age of the technological revolution known as the 4.0 industry, new technology management or Internet-based companies are emerging. 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. Added to this is the development of data processing analytics in Business Intelligence enterprises, the development of life science technologies, biotechnology, eco-innovation, 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 the context of this problem, many questions arise: What other technological improvements, innovative organizational, technical and IT solutions will be developed in the future based on the development of the above-mentioned factors? What kinds of innovations will be able to be created in the coming years, in the future based on the integration of the above-mentioned main determinants of the development of the current technological revolution known as Industry 4.0? What kind of new categories of added value may be created in the future if the above-mentioned technological solutions are more involved in the creation of biotechnological, ecological, product and other innovations. Will new technologies be created in this way, with the help of which it will be possible to generate solutions to the problems of excessive exploitation of Earth resources in the process of civilization development? Do business management processes play a particularly important role in the context of the effective functioning of business entities in currently developing economies based on knowledge, information and technology? Is e-management a new concept of managing virtual enterprises or rather managing online technology companies? Are new management concepts of innovative enterprises and start-ups based mainly on knowledge, information, entrepreneurship and creation of innovations? Does the development of data processing and analysis technology in the field of Business Intelligence analytics in Big Data database systems and other technologies developed in the field of technological revolution Industry 4.0 generates new business management concepts?

In view of the above, it is also important to include in the above discussion also the following issue: Can the Business Intelligence analytics effectively support the management process of an innovative technological startup? 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, 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 the context of the above considerations, the following question is also current: Is the synergy and interdependence between the development of analytics conducted in Business Intelligence applications and the processing of data in the cloud in the Big Data database systems increased? Currently, the amount of information collected in Big Data database systems is growing very fast. Many companies that have their own Big Data database systems containing huge amounts of information downloaded from the Internet carry out analyzes of these data, the results of which are used in business management. Many companies use these resources to manage their business. When processing information in the cloud, ie information collected in Big Data systems, the sentiment analysis uses the results of the analytical work carried out in this way for the strategic management of the company.

In addition, I note the interesting discussion inspired me to the following considerations: The development of analytics and information processing in large data sets for the needs of scientific works? Not all people conducting research use advanced information processing instruments such as data processing in the cloud, analysis of information collected from the Internet using sentiment analysis in Big Data database systems, analysis of large data sets using probabilitic, stochastic analytical models and other advanced statistics in computerized platforms such as Business Intelligence. Currently, techniques for analyzing large data sets in Big Data database systems are developing rapidly. The costs of these analytical processes and necessary IT tools are gradually falling and can now be available to any entity with relatively low financial resources.

Therefore, in the context of the above considerations, the following important question appears: What do you know about the applications of processing and analysis technology for large data sets, including data analysis as part of Business Intelligence analytics for e-marketing purposes? The development of information processing technology in the era of the current technological revolution defined by Industry 4.0 is determined by the application of new information technologies in the field of e-commerce and e-marketing. The current technological revolution described 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. Based on 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 information processing in the cloud for applications in such areas as: machine learning, Internet of Things, artificial intelligence , 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. 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 custom reports, which are the result of such multicriteria analyzes of large data sets obtained from various websites and entries and comments on social media portals.

In the context of the above considerations, the following question is also current: The difference between the analysis of data collected in Big Data database systems and on computerized Business Intelligence platforms? Both the processing and analysis of data collected in Big Data database systems and analytics conducted on computerized Business Intelligence platforms can support the company's management processes. However, not to the same extent and not in the same applications and fields of management. The difference is the processing and analysis of data collected in Big Data database systems can have very different functionality which is determined by the type and data sources stored in Big Data database systems. However, the analytics conducted on computerized Business Intelligence platforms is focused on specific aspects of the business, economic or financial and financial analysis of the company.

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:

Article APPLICATION OF DATA BASE SYSTEMS BIG DATA AND BUSINESS INTEL...

Article The Big Data technologies as an important factor of electron...

Article The Technological Solutions Big Data and the Importance of B...

I invite you to discussion and cooperation.

Best wishes

Our intelligence works in various direction depending on our development with our mind & brain which remain the gift of every individual who can carry out their working action & progressive plan for their achievements .These also applicable to business individual for business they either take recourse to family business or in their young age desire to carry out for their individual plan in the form of business which they already in their mind ,practiced for carrying out the line of business ,

For this in any area intelligence outlook is must for the individual & for individual I have also expressed my view sometime back which I submit herewith for your kind perusal

All human beings are graced with the mind ,brain , & also the center image of fore headed . Our mind is all the time working with our thinking process ,thoughts , & some time taking also a shape of negative elements with human beings remain in their temperament .

With this our mind never gets tired it requires merely a change . However with our brain first & almost important thing that we have a power of discrimination helping us to take a right type of action . With this our brain has memory with a sensitive approach ,our brain collects well many information of our life action & when ever we wish to carry out action plan our brain comes to our help which we call our Intelligence with the help of which we are progressing our life as our direction & human beings with the help of intelligence they may come out with the contribution in the range of science ,research, technology ,medical contribution & also in areas of literature, fine arts ,drama,music,painting , & such other areas whereby with their contribution our society also gets benefit of it .

This is my personal opinion 

Business intelligence is a theory, methodology, processes, characteristics and techniques that transform primary data into useful information that is meaningful for business purposes. It has the ability to handle huge numbers of information to help enterprises identify and develop new business opportunities, take advantage of new opportunities and implement an effective strategy.

In view of the above, it is also important to include in the above discussion also the following issue:

Can you use Business Intelligence analytics for research on any type of business?

Can you use Business Intelligence analytics for any type of business activity conducted by specific companies, financial, public and other institutions?

Can Business Intelligence analytics be used for researching and analyzing the effectiveness of business operations conducted by large corporations as well as business entities representing the SME and micro enterprises sectors?

Are expensive computerized systems and analytical platforms on which Business Intelligence analytics tools are built are currently also available for business entities of the SME sector and microenterprises?

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:

Can you use Business Intelligence analytics for research on any type of business?

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:

Article APPLICATION OF DATA BASE SYSTEMS BIG DATA AND BUSINESS INTEL...

Article The Big Data technologies as an important factor of electron...

Article The Technological Solutions Big Data and the Importance of B...

I invite you to discussion and cooperation.

Best wishes

In the context of the above considerations, the following question is also current:

Is it possible to apply Business Intelligence analytics to the study of business activities of innovative startups?

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:

Article APPLICATION OF DATA BASE SYSTEMS BIG DATA AND BUSINESS INTEL...

Article The Big Data technologies as an important factor of electron...

Article The Technological Solutions Big Data and the Importance of B...

I invite you to discussion and cooperation.

Best wishes

Do Business Intelligence analytical platforms support business management processes?

Do Business Intelligence analytical platforms support business management processes, including improvement of organizational leadership and strategic management, which can result in significant strategic success of the organization?

In my opinion, the use of Business Intelligence analytical platforms should be useful both for improving organizational leadership and for strategic management, which can result in significant strategic success of organizations, including enterprises and corporations, which use Business Intelligence analytical platforms as a tool supporting organizational management processes.

Therefore, in many enterprises, Business Intelligence analytical platforms are built and developed, which are connected to the transactional systems, databases and other IT systems of the company. In this way, integrated IT systems are built, where real-time analyzes of current sales, production, logistics, market analyzes, conducted ventures, risk management and other aspects of a full analysis of the company's economic and financial situation can be conducted.

As a result, these systems build tools such as early warning indicators on potential threats, the growing risk of economic crisis in the context of falling sales and declining economic growth in the domestic and global economy, in the markets where the company operates or for identifying development opportunities when the situation economic and market recovery improves as counterparties 'investments grow, consumers' incomes grow and sales and financial revenues from the sale of products and services increase.

In connection with the above, enterprises should build and develop Business Intelligence analytical platforms in order to improve the management processes of the entire organization and individual departments and activities carried out in the enterprise. Many studies show that these are excellent instruments that effectively support business management. The largest enterprises and corporations develop such IT solutions supporting organizational management processes. However, in recent years, IT companies also produce certain analytical Business Intelligence platforms for enterprises in the SME sector, as a result of which the market of recipients of this type of instruments supporting organizational management processes is expanding and increasing. I described it in my publications below.

Do you agree with my opinion on this matter?

In view of the above, I am asking you the following question:

Do Business Intelligence analytical platforms support business management processes, including improvement of organizational leadership and strategic management, which can result in significant strategic success of the organization?

Please reply

I invite you to the discussion

Thank you very much

Dear Friends and Colleagues of RG

The issues of the application of Business Intelligence analytical platforms supporting business management processes and in connection with the application of Big Data database systems technology are described in the publications:

Article APPLICATION OF DATA BASE SYSTEMS BIG DATA AND BUSINESS INTEL...

Article The Big Data technologies as an important factor of electron...

Article The Technological Solutions Big Data and the Importance of B...

I invite you to discussion and cooperation.

Thank you very much

Best wishes