Your Deduplication Processes May be Leaving You at Risk for GDPR Fines

Melissa Team | Article, Data Audit, Data Matching, Data Quality, Duplicate Elimination, Fuzzy Matching, GDPR, Global Business, Global Data Quality, Identity Resolution | , , , , , , , , ,

Once-trusted fuzzy matching algorithms may be leaving your organization vulnerable to hefty GDPR fines. The balancing act of false-positives and false-negatives in single customer view (SCV) systems used to favor the false-negative side, with near negligible error results. However, the standard of that balancing act has now been redefined by the GDPR regulations. Find out how GDPR has moved the “match” goalposts, how to test your SCV platform, and what you need to do to keep your organization GDPR compliant.… Read More

Justifying Data Quality Management

Blog Administrator | Address Quality, Analyzing Data, Analyzing Data Quality, Data Quality, Data Warehouse | , , , , , ,

By David Loshin

Last week I shared some thoughts about a current client and the mission to justify the development of a data quality program in an organization that over time has evolved into one with distributed oversight and consequently very loose enterprise-wide controls.

The trick to justifying this effort, it seems, is to address some of the key issues impacting the usability of data warehouse data, as many of the downstream business users often complain about data usability, long times to be able to get the data for their applications, and difficulty in getting the answers to the questions they ask.… Read More