Data Speaks for Itself: Is AI the Cure for Data Curation?
By now, it is clear to everyone that AI, especially generative AI, is the only topic you’re allowed to write…
data quality
How Data Analytics Is Transforming Due Diligence
Due diligence is the complex process of assessing a potential investment and ensuring it is a sound one. It involves…
Enhancing Data Quality in Clinical Trials
One of the reasons why there’s always excess production in the textile sector is the stringent requirement of meeting set…
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 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…