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What is business intelligence - The Ultimate Definition.

Business Intelligence (BI) That Need to Complete Mining

What is Business Intelligence?

Business intelligence – BI is a set of processes, architectures, and technologies. Which transforms raw data into meaningful information. Who runs profitable business operations. And it is a set of software and services. Which converts data into actionable intelligence, knowledge.

Business intelligence BI is a data-driven (DSS). Which manages knowledge with data gathering, data storage, and analysis to provide input to the decision process. And the term originated in 1989; It previously had many of its features and was part of executive information systems, business intelligence firms, and emphasizes the analysis of large volumes of data about its operations.

Business Intelligence for Dummies makes BI understandable! It takes you to step by step through the technologies and the alphabet soup, so you can choose the right technology and implement a successful BI environment. You’ll hear how the applications and technologies work together to access, analyze, and present data that you can use to make better decisions about your products, customers, competitors, and more.

It consists of competitive intelligence monitoring competitors as a subset. In a computer-based environment, business intelligence uses a large database, typically stored in a data warehouse or data mart. As a source of its information, and as the basis for sophisticated analysis, analysis responds from simple reporting to slice-and-dice, drill down, ad hoc questioning, real-time analysis, and forecasting. A large number of vendors provide analysis tools

Probably the most useful of these is the dashboard. Recent developments in (BI) include business performance measurement BPM, business activity monitoring BAM, and (BI) being an employee tool used by people in (BI) for the entire organization public. In the long run, BI techniques, and findings will be incorporated into business processes.

BI Communications Association for Process

The idea contained in this definition is probably ideal. That business intelligence systems deliver information delivered at the right time, in the right place, and in the right way to help decision-makers.

The objective is to improve the timeliness, and quality of inputs for the decision process. Therefore, facilitating managerial work. Sometimes business intelligence refers to online decision making. That is a quick response.

Most of the time, this refers to the time frame to shrink. So that intelligence is useful to the decision-maker when the time comes, in all cases, the use of professional intelligence is seen as being active. The essential components of Proactive BI are Lang Seth, and Vivatrat, 2003 Data Mining.

  • Real-time data storage
  • Active alert with automatic receiver scheduling.
  • Automatic Anomaly, and Exception Detection.
  • Automatic learning, and refinement.
  • Through seamless follow-up workflow.
  • Geographical Information System Appendix.

Data visualization Appendix, Figure 1 shows the diversity of information inputs available to provide the intelligence needed to make decisions.

What does BI do?

BI assists in strategic, and operational decision making. A Gartner survey ranked the strategic use of (BI) in the following order: Villain, 2002.

Corporate performance management

  • Optimizing customer relationships, monitoring business activity, and traditional decision support.
  • Packaged standalone (BI) applications for specific tasks or strategies.
  • Management of Business Intelligence Reports.

One of the implications of this ranking is this. That simply reporting the performance of a firm, and its competitors, which is the strength of many existing software packages., It is not enough. There is also a second implication. That many firms still see intelligence as business intelligence such as (DSS), and before EIS.

Business intelligence is a natural result of a series of previous systems designed to support decision making. The emergence of the data warehouse as a repository, advances in data cleansing, which is a single truth, greater capabilities of the hardware, and software, and a surge of Internet technologies.

Which provides customizable user interfaces., Which combine to create a rich business knowledge environment that was previously available (BI) draws information from many other systems. Figure 2 shows some of the information systems used by BI.

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