Business Intelligence Lowdown: BI and Data Quality

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January 13, 2006

BI and Data Quality - Hand in Hand

Data quality technology is silently emerging as a necessary complement to business intelligence (BI) applications. The need for clean data when running BI was well established when SAS Institute bought out data quality vendor DataFlux Corp. to complement its BI products.

The LexisNexis Group, which uses DataFlux's schemes and verification processes to eliminate data overlapping and duplication and to project a single view of its customers from all data sources available, has seen benefits from the combined training materials and documentation of DataFlux and SAS.

Data quality issues have a way of cropping up in a BI system, which means that data quality tools need to be in place to process the data before it goes into the decision engine, says Keith Gile, principal analyst with Mass.-based Forrester Research Incorporated, on Search Data Management. He adds that though the SAS approach __ that everything, including modeling, extract, transform and load (ETL) tools, and analysis, comes under the umbrella of BI __ is not necessarily shared by everyone, for companies looking at a wider data management strategy, data quality is vital.

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January 13, 2006 in Data Quality | Permalink