The Big Data technologies as an important factor of electronic data processing and the development of computerized analytical platforms, Business Intelligence
The development of transformation and sharing information via the Internet has been determined by numerous facilities for beneficiaries, clients and those using information services of the public sector institutions. Moreover, there is an opportunity for the entities sharing electronic information via the Internet to significantly reduce transactional costs of their performed financial operations and electronic data transfer. On the other hand, the IT development functioning in the Internet is connected with the risk of losing and theft of information by unentitled entities. The process of sharing information via the Internet generates many threats connected with identity theft crime, taking over secret data by hackers and embezzlement of money in the electronic banking systems. In response to the threats, particular entities, including the institutions of the financial sector, develop security systems of remote information sharing and performing transactions via the Internet. Nowadays, there is a continuity of the technique improvement process providing certain level of the Internet security data transfer. The procedures of safe transforming, stocking and sharing information in the Internet electronic banking have been being improved. National legal regulations considering new occurring technology innovation and electronic transfer technologies in the Internet have been being completed as well. Dissemination of standards of performing financial operations in the cloud as well as those huge data collections allocated in the Big Data platforms are within the fasted developing IT areas that determine further phases of advance of the electronic Internet banking.
Keywords: banking, Internet banking, security, data transfer, security, banking services, Big Data, Business Intelligence, Internet, Polish.
D. Prokopowicz, S. Gwoździewicz, The Big Data technologies as an important factor of electronic data processing and the development of computerized analytical platforms, Business Intelligence (in:) “International Journal of Small and Medium Enterprises and Business Sustainability”, volume 2, numer 4, November 2017, Center for Industry, SME and Business Competition Studies, University of Trisakti in Jakarta, Indonesia. University of Social Sciences, Warsaw, Poland, pp. 27-42. eISSN: 2442-9368. https://www.easyuni.com/indonesia
https://www.researchgate.net/publication/323244120_The_Big_Data_technologies_as_an_important_factor_of_electronic_data_processing_and_the_development_of_computerized_analytical_platforms_Business_Intelligence
Project: Business and financial analysis of enterprises carried out on Business Intelligence platforms
I think that Big Data does not incorporate the solvent statistical inference theory and it should do it.
Hi Dariusz
I think that Big Data Technologies as well as IOT and all related with the Fourth Revolution will increase significantly the analytical capabilities of organizations. Moreover, the business intelligence area will benefit greatly, as it will be possible to analyze and combine multiple data sources (structured, semi-structured and unstructured) in real time for decision-making processes.
Thank you very much for your participation in the discussion. Your remarks, conclusions, theses, research results, scientific considerations are very interesting and enrich the discussions in this topic. Your conclusions are very inspiring to continue the discussion, because you pay attention to the key and particularly important issues of this complex issue. I invite you to continue the discussion People interested in this subject.
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:
https://www.researchgate.net/publication/323244120_The_Big_Data_technologies_as_an_important_factor_of_electronic_data_processing_and_the_development_of_computerized_analytical_platforms_Business_Intelligence
https://www.researchgate.net/publication/327035102_The_Technological_Solutions_Big_Data_and_the_Importance_of_Business_Analysis_According_to_the_Business_Intelligence_Formula
I invite you to discussion and cooperation. Greetings
Will the information collected and processed in Big Data database systems supported by artificial intelligence technology in the future allow to accurately predict future climate disasters?
Information collected and processed in Big Data database systems using artificial intelligence and climate change
In my opinion, information obtained from various research centers, meteorological centers, satellites, etc., then collected and processed in Big Data database systems should help in more and more precise prediction of new, unfavorable weather phenomena, including climatic cataclysms and others. In this way, earlier and in a more planned way, crisis management systems can be organized in the situation when the predetermined flood disaster becomes real and will happen. Gradually increasing computing power of powerful computer servers managing platforms of Big Data database systems, implemented artificial intelligence, increasing number of verified historical data on the overall climate phenomena on Earth will allow in the future more precisely, more accurately determine the level of threats, risk value, predict time, place and scale adverse weather events, i.e. also cataclysms that threaten people's lives.
Therefore, the question is still valid:
Will the information collected and processed in Big Data database systems supported by artificial intelligence technology in the future allow to accurately predict future climate disasters?
Please, answer, comments. I invite you to the discussion.
What are the important issues for you related to the collection and processing of large collections of information in Big Data database systems and in the application of artificial intelligence?
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.
On the basis of the development of the new technological solutions mentioned in recent years, the processes of innovatively organized analyzes of large collections of information collected in Big Data database systems dynamically develop.
In my opinion, the fastest-growing business projects are primarily those that are the subject of innovative startups developing dynamically for a minimum period of several years. Startups develop innovative business projects in such areas as: information technology, ICT, Internet, biotechnology, energy, ecology, environmental protection, medicine, agribusiness, etc. In addition, a number of innovative technologies in construction, material, process and marketing innovations have recently been created in the field of smart city, life science, cleantech, medical intelligence and others that are used by companies and corporations operating in various sectors of the national or international economy.
In addition, innovative business projects are also developed in the fields of various fields of information services, advanced data processing, business analytics and the development of teleiform technologies, which together are the pillars of a knowledge-based economy. 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. It is anticipated that in the next years in these fields of science and technology many large startups will be created, which will be developed effectively based on innovative business projects related to the topics mentioned above. 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 each of these areas, many specific design topics can be distinguished, in which business startups develop and reach the minimum level of a medium-sized company or large corporation in a situation of spectacular business success based on a well-designed business and an effectively implemented innovative business project.
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?
Will the development of data mining technology, machine learning, artificial intelligence, Big Data data analysis, etc. develop new branches of the knowledge-based economy or only make use of these technologies in already existing branches, sectors of currently developing economies?
In view of the above, I am asking you: What are the important issues for you related to the collection and processing of large collections of information in Big Data database systems and in the application of artificial intelligence?
Please reply. I invite you to the discussion
In which sectors of the economy, in which types of companies and corporations will develop the most dynamic technologies for analyzing large collections of information in Big Data database systems
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.
In view of the above, the current question is: In which sectors of the economy, in which types of companies and corporations will be the most dynamically developed technologies for analyzing large collections of information in Big Data database systems
Please, answer, comments. I invite you to the discussion.
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