Articles by Vijay K Shetty
The computer-aided techniques that are used to dig out, are on site as well as analyze all data related to economy, as business intelligence, abbreviated BI. These business data revenues by products and departments and their associated revenues and costs. The goal of business intelligence is to help you make decisions. While this may sometimes other names, such as the competitive intelligence is used, the field of business intelligence much more comprehensive. Rather, competitive intelligence, business intelligence will be held as a subpart of. Many different processes, applications and technologies used in business intelligence. However, there are some important BI capabilities. These can be listed and so forth as data mining, benchmarking, business performance management, online analytical processing and analysis of various types.
Data Mining Extract combines different statistical methods, database management and artificial intelligence techniques in order to design of large amounts of data. Data mining offers great advantage of information and will be very important for the transformation of data into business intelligence. It is used in fraud detection, marketing, monitoring and scientific discovery. Through benchmarking, and you can compare the performance of your company and your business processes with the best in the industry. You can also compare the best practices of other industries. Business Performance Management deals with a certain amount of analytical processes and management techniques to help you manage the performance of your organization so that you can easily reach the target from the time before hand. have set with the help of Online Analytical Processing, OLAP short, you can easily answer any kind of multidimensional analytical queries. Data mining, as discussed above may fall as a sub-issue among online analytical processing and relational reporting and business reporting. Online analytical processing can be applied in various fields. These include marketing and sales, which finds use in business reporting. It is also used in the forecasting and budgeting, management reporting, business process management, accounting and has come to agricultural applications as well. Analytics is a very important part of business intelligence and it is a very broad category. It is computer technology, statistics and operations research to find a solution for industrial and business problems. Analytics includes predictive analytics and also a function of business intelligence. It includes a variety of statistical techniques, game theory, and data mining techniques. It predicts future events, through the analysis of different historical and current facts.About the Author
Vijay K Shetty
, Platinum level author.
More information about business intelligence function, CMC development