I'm currently exploring literature about factors that influence the pre and pos-implementation phases in BI project implementations. The scope of the exploration doesn't take into account topics as Big Data, knowledge management, competitive intelligence and other related.
This will be a good pre-reading to find out influencing factors, but targeted for SAS. https://analytics.ncsu.edu/sesug/2011/SS08.Varney.pdf
Azan W. & Beldi A. (2011), Human agency », ERP and CRM: the roles of final users in the postimplementation phase, AMCIS, Detroit
All the best, wa
The above discussion inspired me to the following considerations:
Can the analysis of large collections of information in Big Data database systems support the development of entrepreneurship?
It seems to me that the analysis of large collections of information collected in Big Data database systems will have a significant impact on the development of entrepreneurship research.
First of all, the analysis of large data sets Big Data will improve data analytics on cloud computing platforms, the use of computerized Business Intelligence applications as supporting business management processes.
Please reply. I invite you to the discussion
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?
I am asking for answers, comments. I invite you to the discussion.
Will the artificial intelligence for Business Intelligence application be implemented as part of the ongoing computerization of analytical processes?
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.
Dear José Manuel Villamarín-García, Thank you very much for asking this very important question.
Question:
Could you recommend any paper about business intelligence project pre or post-implementation (not during)?
this is a very important issue that requires scientific research.
An important topic has been raised in the above query. It is very good that this question appeared on the research portal Research Gate. It's good that there was a discussion about this question. This is a very interesting and scientifically important topic. Because the topic is very important so I still read the answers, I follow the interesting discussion.
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
I invite you to the discussion.
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