BI capabilities for interactive analytic with segmented business data, gives insight within a fraction of time, derive intelligence and insights from data loads on cubes / tables / charts to enable interactive queries and creation of reports

http://www.experfy.com/blog/qlikview-vs-tableau-review-two-visualization-giants/

Thank you for your comments Sir.

But if I were to operationalise a BI Capability construct what variables would it compose of?

SAP BI GLOBAL REPORT

http://www.businessintelligenceonline.com/articles/sap-bi-global-report-variable-user-exit-modularization

Business intelligence (BI) means "having a comprehensive knowledge of all factors that affect the organization." Having depth knowledge about factors such as customers (community contacts, Arbabrjv etc) competition, economic environment, operations and organizational processes (finance, sales, production, human resources, etc), which will have a significant impact on the quality of management decisions on the enterprise intelligence. Organizational intelligence to decide on all factors affecting enable organizations and companies.

I propose to change the term ”BI” with ”the NEEDS”. If we don't realize - What's need?-we only turn around the issue. The human capabilities must be ready (like a fireman) to PREVENT any negative event and valorise any opportunity. The human capabilities MUST provide from A HUMAN REAL TEAM.

Dear Rekha,

You might find some useful information from this paper of ours. In response to your question, please look at Table 1.

https://www.researchgate.net/publication/273861123_Why_Business_Intelligence

I hope it is of some help. Please cite, if useful.

Good luck!

Regards,

Article Why Business Intelligence? Significance of Business Intellig...

Dear Rekha Mishra,

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 view of the above, I am asking you: Is the synergy and interdependence between the development of analytics conducted in Business Intelligence applications and data processing in the cloud in the Big Data database systems increasing?

Please reply

I invite you to the discussion

Thank you very much

Best wishes

The current fourth technological revolutions are determined by the development and use of new information and information technologies, information processing in various applications. Therefore, business analytics of enterprises, ie Business Intelligence, are dynamically developing, which significantly improves the process of functioning and development of enterprises.

The development of accounting, 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.

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.

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.

Currently, business analytics uses computerized platforms containing ready-made reporting formulas in the field of Business Intelligence. In recent years, software companies supporting enterprise management offer advanced applications of information-analytical Business Intelligence class systems consisting of modular development of these systems and combining business intelligence software with platforms that use data warehouse technology, multi-dimensional analytical processing software and data mining and processing applications. This article describes an example of this type of computerized analytical platform for business entities, which is included in analytical applications that allow quick access to necessary, aggregated and multi-criteria processed information. The software allows entrepreneurs and corporate managers as well as entities from the SME sector on the one hand to use embedded patterns of reports or analyzes, and on the other hand to self-develop and configure analyzes carried out, tailored to the specifics of a specific entity. Such analytical applications make it possible to build integrated risk management systems in the organization.

This issue is described in the following publication:

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

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.

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.

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