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February 12, 2010

Data Integration and Data Quality Require Consolidation

Filed under: Data Integration, Data Quality — Tags: , — Olga Belokurskaya @ 10:08 pm

Lately, there have been talks about the need for a union between data integration and data quality solutions, as no integration initiative can be called successful without the quality of the data provided.

Today, the functionality that provides data quality becomes a requirement for data integration tools. However, data quality still remains a challenge. According to Gartner, only 25% of organizations will proactively and comprehensively include data quality processes and competencies in their data integration work in 2010. This might mean that a large number of enterprises will have to struggle with incomplete, inconsistent and inaccurate data, as their main focus is on the mechanics of data integration process with no connection to data quality.

Technology providers apply more efforts to combine data integration and data quality processes into one data management process. Steps have already been made toward the consolidation of technology offerings, instead of using distinct data integration and data quality solutions. The benefits of this consolidation are quite obvious – a consistent and complete view of the business data, and as a result, the ability to change business processes and models faster to gain the market.

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