Thus, Business Intelligence is largely descriptive. While BI tries to answer the ‘how’ and ‘what’ of an event (describing the event) Business Analytics tries to answer the ‘why’ of an event (understanding the reason behind the event). This is the difference between Business Intelligence and Business Analytics. However, if you use a Business Analytics approach, you will try to go one step further and find out why the players had possession of the ball longer than the opponent team. If you use a Business Intelligence approach, you might conclude that an important positive point was that your players had possession of the ball for much longer than the opponent team. One way would be to look at all the statistics. There can be several ways by which you can do this. Now suppose, you are the coach of the team which won the match recently and you try to review the game which just happened in order to rectify any mistakes which your team might have made. Let us try to answer this question by looking at the example of a football match. So you might be thinking how then is BI different from Business Analytics. The most important similarity between the two is that both try to provide information on the operation of business through analyzing data. This means that the field of Business Intelligence and Business Analytics are overlapping.
In providing answers to the question of what is Business Intelligence, we have seen that Analytics is an important part of BI. Thus, in trying to understand what is Business Intelligence one can look at it as a savior which can help enterprises to make profitable decisions.īusiness Intelligence vs. However, this process would increase the possibilities for errors and lapses. While it would be wrong to suggest that decisions resulting from this process are bound to be bad. Given so, the decision makers and the executives would have no other choice but to make decisions based on factors like past experience, gathered knowledge, or at best, depend on their intuition and gut feeling. This, in turn, positively affects revenue as well as productivity of the business enterprise.Ĭonsider a situation where a business enterprise is unable to take advantage of BI and hence is not able to make decisions which are data-driven. This is because relevant data which produces valuable insights, not only helps in improving the business process, but it also helps in effective decision making. Business Intelligence has come to be regarded as crucial for improving the efficiency of business operations. In this section, we will try to understand why Business Intelligence is important.
In just one line, it gives us an understanding of the objective (providing right data) as well as the usefulness(take the right decisions) of the process of BI. The above statement is clearly pointing at the basic idea of a Business Intelligence definition. Learn more about the benefits of a data warehouse.What is Business Intelligence? “Business Intelligence is about providing the right data at the right time to the right people so that they can take the right decisions” - Nic Smith with Microsoft BI Solutions Marketing The other benefits of a data warehouse are the ability to analyze data from multiple sources and to negotiate differences in storage schema using the ETL process.
DWH BUSINESS INTELLIGENCE DEFINITION FREE
A data warehouse is employed to do the analytic work, leaving the transactional database free to focus on transactions. This is often untenable for transactional databases. Running a complex query on a database requires the database to enter a temporary fixed state. The need for a data warehouse often becomes evident when analytic requirements run afoul of the ongoing performance of operational databases. Many types of business data are analyzed via data warehouses. What do I need to know about data warehousing?ĭata warehouses are typically used to correlate broad business data to provide greater executive insight into corporate performance.
0 kommentar(er)
