The Horrifying Facts of Your Data

Author | Data Cleansing, Data Enrichment, Data Quality | , , , , , , , , , ,

The spirit of Halloween is brewing and it seems like no better time to take a look at the horrifying reality of your data.

91% of businesses suffer from dirty data. Whether you choose to face it or run away from it, the terrifying fact remains – your data is decaying at a rate of 2.1% per month.… 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.
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.
Read More

Garbage In …

Melissa Team | Data Cleansing, Data Quality | , ,

By Elliot King

We all know that dirty data is not really dirty; it is just incorrect. Data
cleansing consists of correcting mistakes in the data.

Mistakes make their way into contact data in several different ways. It may just
be wrong or incomplete; it may not be updated; and it may be duplicated if small
variations are entered into the contact information each time a customer gets in
touch your organization.… Read More