You see, as much as we like to focus on the platforms, data management — the tactics around defining and maintaining...
business rules, definitions and access to data — is the real hard part. Best-practice companies have learned that centralizing data management as an enterprise service is not only the most efficient way to support MDM, but a whole range of enterprise initiatives.
As for master data, it really does depend on whether you're using registry-style MDM to quickly match and link data across source systems, or a persistent approach that stores the data in a centralized hub. Each has its advantages and disadvantages. To understand which is best for your company — registry, persistent, or a hybrid of each — see my prior Q/A on MDM functional requirements .
Dig Deeper on MDM best practices
Related Q&A from Jill Dyché
What’s the biggest BI problem companies keep running into? Overloading data at the expense of functionality, says an expert. Find out how to avoid ... Continue Reading
There’s a lot of confusion about agile business intelligence (BI). Get an expert’s take on what agile BI really is and if it’s a valid BI development... Continue Reading
Are some companies primed to get more use out of social media analytics than others are? Find out, plus learn how a social media analytics strategy ... Continue Reading
Have a question for an expert?
Please add a title for your question
Get answers from a TechTarget expert on whatever's puzzling you.