X4DB data quality framework
"Dirty data renders analytics software useless. Improving data quality is an ongoing and expensive process, but data cleansing efforts can pay for themselves"
Business Finance Mag

Resources

TRENDS IN DATA QUALITY
The drivers of data and information quality (IQ) often show up as breakdowns - in the accuracy of data, the procedures around data operations and the usability of data. In response, enterprises will make a commitment to managing and improving the quality of data as an enterprise resource.
Article


THE IMPACT AND COST OF INFORMATION QUALITY LAPSES
Responses from the TDWI-Forrester Quarterly Technology Survey (May 2004) indicate that information and data quality defects fall into a variety of broad categories (see Figure 1). Respondents identified between three and four of these issues.....
Article


THE BANE OF CRM DATA QUALITY
The key to successful customer CRM, BI and data warehousing (DW) ventures is data quality. The most elegant system in the world will fail without it. The simplest systems can deliver amazing results if they operate on clean data.
Article


DATA QUALITY: IS GIGO A THING OF THE PAST?
These days, we rarely hear the old saw, "garbage in, garbage out (GIGO)", but it used to be a very common explanation for the mediocre performance of database operations. The fact that we do not hear that expression as often, however, does not mean that the problem has gone away.
Article


THE DATA QUALITY PROBLEM
The lack of accurate data costs organizations dearly in correction activities, lost customers, missed opportunities, and incorrect decisions. Most corporations are very much unaware of the magnitude of the costs. Most corporations are unaware of the extent of inaccurate data in their systems.
Article


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Data Quality