Business Intelligence For Competitive Advantage

This generally refers to technologies that are used toup being much more complex than original estimates.
analyze and provide strategic intelligence about theBusiness intelligence is a relatively new technology.
operations of a business. Larger companies have vastBecause of the dependence of BI technologies on
amounts of data available to them. And withdatabases, data warehouses and related computer
competitive pressures in today's markets, businessestechnologies, BI has not been possible till recently. It
need to utilize company data to understand theirwas in 1989 that Howard Dresner of the Gartner
business and stay competitive.Group helped to popularize the term business
Production data, demographic information, sales figuresintelligence.
and the like can be synthesized into a form useful forCreating a good business intelligence system often
making better strategic business decisions. Forrequires determining key performance indicators (KPI)
example, a business intelligence system couldfor a given business. KPIs are metrics, either financial
aggregate sales numbers by month and year andor non-financial, that are good indicators of the
compare current figures to historical values. Theseperformance of a company. Domain or market
aggregated sales figures could then be displayed in aknowledge as well as an understanding of the
simple tabular format (Excel, PDF, or HTML) and/orparticular company are usually required to determine
converted into graphical representations (charts,key performance indicators.
graphs, gauges, dial indicators, etc.). The synthesizedThe objective of a business intelligence report is to
data could then be displayed on a simple report in thepresent actionable information in as simple of a form
form of a dashboard (analogous to a dashboard on aas possible. Useful reports often aggregate an
car or airplane) that shows all of that data in an easyenormous amount of data into simple tables and
to read, intuitive format.charts. Before becoming a report (in a simplified
Business intelligence (BI) uses many data relatedexample), systems have aggregated operational data
technologies. Data warehouses, documentinto a data warehouse using extract, transform, and
management, knowledge management, data mining,load (ETL) processes. Then BI software has analyzed
online analytical processing (OLAP), multidimensionaldata contained in the warehouse to build that report.
analysis (based on creating n-dimensional data cubes)Users of the reports are often clueless as to the
to name a few. Because today's companies have soprocesses and data crunching that was required to
many divergent computer systems and applications, itgenerate the report. That is an indicator of a good
is usually a complex task to aggregate data from sobusiness intelligence system... reporting that is deceptive
many varying sources. Creating BI systems often endssimple.