Ads
March 18, 2006
Deriving The Best From BI
Business intelligence has become the new buzzword in corporate circles. Even small organizations are implementing BI solutions to take more informed decisions that will in turn send their profits soaring and maximize ROI. But the question to be asked here is if enterprises are getting the foundation right before building the BI skyscraper.
The base and support of a good business intelligence solution is well-defined, good quality data. In a nutshell, these adjectives mean that data should be accurate and not be duplicated across various storage repositories. Redundant and outdated data scattered across disparate sources will effectively kill your BI system.
Good business intelligence can be derived from high-quality information, which in turn is mined from structured data. A good data resource and proper information engineering are the keys to effective decision-making using business intelligence techniques. A good data resource holds structured data that will return the most appropriate information in answer to intelligent queries.
Information engineering determines how much information is needed to solve a particular problem, besides presenting that information in a way that facilitates easy decision-making. Different kinds of information can be drawn from the same data set. In other words, each set of data can be interpreted in multiple ways to derive different sets of information. Based on the organization's corporate policies and business plans, its BI tool and its users have to determine what information to extract from the raw data.
--
Did you enjoy this post?
Comments
Post a comment
Syndicate
Comments