Data Speaks for Itself: The Challenge of Data Consistency
Data quality management (DQM) has advanced considerably over the years. The full extent of the problem was first recognized during…
data quality
What is a Data Clean Room?
As data programs accelerate their capabilities to tap into insights, the rights of the consumer and their privacy are racing…
The Tower of Babble – Where Truth Goes to Die
Once upon a time (the way every good fairy tale begins), a book or a paper by a Ted Codd…
Introduction to Data Technical Debt
“Technical debt” refers to the implied cost of future refactoring or rework to improve the quality of an asset to…
Thoughts on Data Literacy & Data Quality
Last week, we presented a webinar in our Data Governance — Best Practices series on data quality. Among the recommended…
Why Data Quality Programs Fail to Deliver Results
Fortune 1000 organizations spend approximately $5 billion in total each year to improve the trustworthiness of data. Yet, only 42%…
Through the Looking Glass: Supply-Side Data Governance
Fit for Purpose data has been a foundational concept of Data Governance for as long as I’ve been in the…
Avoiding Bad Data in Sales Cloud
Insightful and accurate data is the lifeblood of any successful business. Without it, you may find yourself missing out on…
Data Speaks for Itself: What Could Possibly Go Wrong?
I had a great experience attending the MIT Chief Data Officer and Information Quality Symposium in Cambridge this July. It…
Avoiding a Data Catastrophe
Have you ever watched the Science channel show called, Engineering Catastrophes? It’s a fascinating show exemplifying how engineering projects of…