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…
data quality
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…
Data Speaks for Itself: Data Speaks as Product
One of the greatest contributions to the understanding of data quality and data quality management happened in the 1980s when…
What I Learned from Executing Data Quality Projects
Getting to great data quality need not be a blood sport! But there must be a method to the madness,…
Autonomous Data Trust Score for Data Catalogs
With the accelerating adoption of Data Catalogs as the core component for enterprise data governance, the need to provide information…