Business Intelligence

Bc. Chintankumar Patel

Master's thesis

Abstract:

The motivation behind BI execution is to further develop execution by making an appropriate setting in which to settle on choices in the association. The Bi's design is intensely affected by the organization's set of experiences and improvement. Business knowledge is one procedure to tending to the essential worries of data the board. In this theory fundamental reason for settling issues happening while at the same time fabricating business insight and execution and for that examine of contextual analyses and utilization of data sources. In this research work, we are analyzing the relation of business intelligence with major three variables. Decision making quality, information quality and data quality; these are the main variables on which we are applying the statistical analysis through a questionnaire for companies where managers are designated. The methods utilized are the swot investigation, BCG examination, and situation examinations are three of the most notable and broadly utilized vital examination draws near. The primary objective of this review was to check out the job of business insight in essential administration. We adjusted both subsequent to building up the essential parts of data requests and indicating the practical abilities of bi apparatuses. Information mining innovations, specifically, can uncover surprising or secret connections in information, which can offer firms with significant data. Revealing and OLAP advances assume a significant part in essential administration since they give a far reaching image of an association's exhibition. The organization's information, just as that of its essential rivals and clients, is very simple to get and process.

Keywords

Business intelligence, Data warehouse, ETL, OLAP, BI solutions, BI tools, Key performance indicators

Language used: English

Date on which the thesis was submitted / produced: 31. 3. 2022

Thesis defence

• Supervisor: doc. Ing. Jan Tyrychtr, Ph.D.

Czech University of Life Sciences Prague

Faculty of Economics and Management

Master programme / field:
Systems Engineering and Informatics / Informatics