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Data Quality

Cover for Data Quality

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By data quality we mean both data cleansing (matching, deduplication, error correction, enrichment et al) as well as data profiling and discovery. Coincident with this publication Bloor Research is also separately publishing Market Updates on both of these areas, so this represents a confluence of the two.

There are different trends in each of the different sectors of this market. We will briefly summarise what we have discussed in the other Updates referred to.

Private: Data Quality

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This white paper discusses the errors than can occur within data, their associated costs, which are not just financial, and how these errors can be identified, corrected, prevented and monitored.

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