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Data quality (DQ) and data quality management (DQM) is emerging as a needed business strategy in enterprise-level organizations. Although not a…

The information is there. The challenge is to help customers find the right information quickly, efficiently, and smoothly. All too often,…

Data preparation tools have been around for quite some time now. Most of these tools though require users to be proficient…

Bad data is why many data warehousing projects fail to deliver results; in fact, data quality in data warehouses remains a…

No one likes the “anonymous customer treatment”, especially coming from their favorite brand or frequent retail market. Inaccurate data gives a…

Data is everywhere, with total volume expected to exceed 44 trillion GBs by 2020, but rarely is it useful. Only 27%…

The world you live in today is not the same world you lived in a few years back. Recently everyone has…

Mergers and acquisitions often involve the transfer of data on large scale. Particularly, in mergers where two or more companies integrate…

Data matching plays an important role in helping marketing managers to devise marketing campaigns. With the advent of modern data matching…

Any kind of research being conducted to approve or disapprove hypotheses requires the collection of data, which is subsequently analyzed and…