Master Data Match Rules
As part of a master data management (MDM) implementation, a series of rules must be implemented to determine if two records…
MDM
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…
Considerations for MDM and Digital Transformation
In today’s digital business ecosystem, digital transformation is no longer an option for modern businesses. The foundation of a business’s…
Data is Risky Business: Thinking the Unthinkable
This isn’t the column I was intending to write for TDAN.com. I had something else nearly ready that was expanding…
Why Does Multi Domain Master Data Management Matter?
The global master data management (MDM) market is estimated to grow from USD 1.6 billion in 2019 to USD 3.4…
Predictions from 2020; for 2021
2020 was the kind of year that would make anyone in the predictions business more than a little gun shy. …
Automating Data Management and Governance through Machine Learning
In my last article I described how data from core repositories such as the ERP transactional systems, was augmented so…
Data Governance Metrics Tracking
The Provider Data Business Problem At NYU Langone Health System, the role of provider is vital not only to patients,…
MDM Data Quality Standards
In the previous post, we discussed the emerging role of standards and the business drivers that influence an organization’s approach…
Role of Standards in Managing Master Data Quality
There has been increasing discussion around standards used for managing and governing master data. This is driven by evolving the…