Big Data Shines a Spotlight on MDM

Michael Vizard
Slide Show

10 Critical Myths and Realities of Master Data Management

Prevalent myths surrounding MDM alongside an explanation of the realities.

As the sheer volume of data that needs to be both analyzed and managed continues to spiral out of control, IT organizations will need to start thinking more strategically about how they apply master data management (MDM).

For the most part, MDM has been largely thought of as the digital equivalent of good data housekeeping. But Steve Jones, global head of master data management at the IT services firm Capgemini, says MDM is rapidly moving up the IT priority list because it is a key set of technologies that not only help companies manage data more efficiently, but also tackle security, data governance and data quality issues.

The key issue, says Jones, is that companies need to realize that data is now a key asset that needs to be proactively managed. To accomplish that goal, companies need a comprehensive MDM strategy in place that not only reduces and improves the quality of data, but also provides a framework for tracking relationships across various data sets.

As IT organizations discover the analytics value of Big Data, Jones says many of them are going to have to significantly improve their MDM capabilities simply to cope with a massive amount of information that many of them will find too difficult to manage otherwise.

With the rise of Big Data, business executives are starting to appreciate the potential value of IT more than ever. But unless IT organizations have some effective way of managing all the data, that asset quickly turns into a costly burden that adds little value to the business.

Add Comment      Leave a comment on this blog post
Nov 11, 2011 5:59 AM Ravi Shankar Ravi Shankar  says:

Imagine organizations currently  having trouble managing business-critical data such as customers, products, accounts, channels, suppliers, etc., with whatever data volumes they have. This problem will be only compounded as the data volume and velocity explodes into Big Data. We see MDM as a critical foundation for organizations that embrace Big Data for analytics and other use cases. After all, MDM drives several important analytics use cases such as compliance, risk mitigation, sales/ financial reporting, etc. To learn how we help companies with Big Data, visit

Nov 12, 2011 9:54 AM DataMe DataMe  says:

Great insight Michael! LexisNexis HPCC is an ideal solution to MDM as it provides for an Enterprise ready highly scalable and consistent open standards based platform. Visit for more info.


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