An Overview of business - A Framework for Business Intelligence
8 important questions on An Overview of business - A Framework for Business Intelligence
List and describe the major components of BI.
2. Business analytics: A collection of tools for manipulating, mining, and analyzing the data in the data warehouse
3. Business performance management: For monitoring and analyzing performance
4. User interface: Like a dashboard
Brief History of BI
- The term Business Intelligence (BI) was coined by the Gartner Group in the mid-1990s.
- The concept is much older; it has its roots in the MIS reporting systems of the 1970s.
- A good BI-based enterprise information system contains all the information executives need.
- Original concept of EIS was transformed into BI.
- by 2005, BI systems started to include artificial intelligence (AI) capabilities as well as powerful analytical capabilities.
Define Online Transaction Processing (OLTP).
OLTP handles a routine ongoing business.
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Define Online Analytical Processing (OLAP).
DW's are intended to work with informational data used for OLAP systems.
List some of the implementation topics addressed by Gartner's report.
List some other success factors of BI
on-demand,
agile environment.
Traditional BI: large volums of static data for reporting.
Now need for: monitoring, performance analysis, understanding why things happen.
What is BAM: Business activity management.
Real-Time, On-Demand BI is Attainable
- A category of products called real-time BI applications has emerged.
- The introduction of new data-generating technologies, such as radio-frequency identification (RFID) and other sensors is only accelerating this growth and the subsequent need for real-time BI.
- The need is not just reporting because business users need business monitoring, performance analysis, and and understanding of why things are happening.
- these can assist users who need to know about changes in data or the availability of relevant reports, alerts, and notifications.
- Business applications can be programmed to act on what these real-time BI systems discover.
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