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

Data Quality Management Mistakes to Avoid

Blog Administrator | Address Quality, Analyzing Data, Analyzing Data Quality, Data Cleansing, Data Management, Data Quality | , , , , ,

By Elliot King

Everyone wants high quality data and it seems that goal should not be so hard to achieve. The need seems obvious and there are plenty of good tools that can be put to work in the effort. Unfortunately, it is just not that easy to set up a successful, ongoing data quality program.

The first mistake companies make as they attempt to manage their data is that
they don’t take the time to understand exactly what they want regarding their
data quality.… Read More

Data Quality’s Three C’s Go Beyond Accuracy

Blog Administrator | Analyzing Data, Analyzing Data Quality, Data Quality | , , , , , , ,

By Elliot King

In many cases, quality, like beauty, is in the eyes of the beholder. The exact characteristics that define quality can be hard to describe. For example, a news report recently described a new, synthetic method for producing diamonds. Would those diamonds be of the same quality? And would they be as desirable, as diamonds mined and refined in the regular way?
Read More