Metadata Governance: An Outline for Success (Part Two)
In part one of “Metadata Governance: An Outline for Success,” I discussed the steps required to implement a successful data…
data quality
Data Observability vs. Data Quality
Data empowers businesses to gain valuable insights into industry trends and fosters profitable decision-making for long-term growth. It enables firms…
Data Speaks for Itself: Data Love and Data Limerence
Now that “data” is finally having its day, data topics are blooming like jonquils in March. Data management, data governance,…
Eyes on Data: The Right Foundation for Trusted Data and Analytics
Trust. Trust is defined as the assured reliance or belief on the character, ability, strength, or truth of someone or…
Who Is Responsible for Data Quality in Data Pipeline Projects?
Where exactly within an organization does the primary responsibility lie for ensuring that a data pipeline project generates data of…
Data Professional Introspective: Accelerating Enterprise Data Quality
My recent columns have focused on actionable initiatives that can both deliver business value, providing a tangible achievement, and raise…
The Role of IT in Data Governance
Information technology (IT) plays a vital role in data governance by implementing and maintaining strategies to manage, protect, and responsibly…
Five “Whys” of Data Cleansing
Data scientists claim that they spend 80% of their time cleansing data and the other 20% of their time complaining…
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…
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…