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Master Data Management

When MDM Projects Fail

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November 26, 2012
When MDM Projects Fail

by Angela Guess Steve Sarsfield of Computer World UK recently discussed why some Master Data Management projects fail. He writes, “If we take the key goal as being the creation a consolidated accurate view of enterprise data and using that to drive enhanced business decision-making, leading to improved business performance and increased business agility,...
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MDM Evolving to Suit NoSQL

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November 19, 2012
MDM Evolving to Suit NoSQL

by Angela Guess Loraine Lawson of IT Business Edge recently discussed the overlap between MDM and NoSQL. She writes, “Master data management is an established industry, but there’s still a lot of movement and innovation, which continues to surprise me. Just last month, for instance, Informatica arranged a stock buyout of the Germany-based Heiler Software...
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Data Quality Vital to MDM

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November 19, 2012
Data Quality Vital to MDM

by Angela Guess Andy Hayler has written an article for Computer Weekly regarding the importance of solid data quality to any Master Data Management effort. He writes, “We are all familiar with examples of the poor data quality that pervades large organisations. How many misspelt versions of your name appear on letters and bills...
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Informatica’s Case for MDM

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November 16, 2012
Informatica’s Case for MDM

by Angela Guess Michael Vizard of IT Business Edge recently reported on Informatica’s latest two-tier case for Master Data Management. He writes, ” IT organizations are increasingly living in two worlds. The first one is fairly well known in that it consists of all the applications that have historically run inside the enterprise. The...
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Master Data Management Decisions Made by the Data Governance Organization

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November 15, 2012
Master Data Management Decisions Made by the Data Governance Organization

This White Paper is Sponsored by: About this White Paper Master data management (MDM) is about people and process; it is not about technology. Implementing MDM technology alone will not address operational and business process challenges. Rather, “mastering” data involves people taking action through established data policies and processes. This whitepaper discusses how to leverage a Data...
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7 MDM Best Practices

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November 13, 2012
7 MDM Best Practices

by Angela Guess Jeff Bertolucci of InformationWeek recently shared seven best practices for Master Data Management. He writes, “Master Data Management (MDM) is the process of establishing and implementing polices, standards and tools for administering data that’s most essential to an enterprise, including information on customers, employees, products and suppliers. ‘When we talk about...
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The ‘Truthiness’ of MDM

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November 5, 2012
The ‘Truthiness’ of MDM

by Angela Guess Loraine Lawson of IT Business Edge reports, “When it comes to master data management, it seems CIOs and IT leaders may be engaging in a bit of what Stephen Colbert calls ‘truthiness.’ Truthiness is when you just ‘know’ something is so, without regard to facts or logic. ‘Now, Loraine. That doesn’t...
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Why MDM Still Matters

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October 31, 2012
Christine-Denney1

by Christine Denney With all the hype around new technologies, like Hadoop, it feels like the excitement of Master Data Management is disappearing like candy on Halloween.  Could it be that MDM is really yesterday’s news?  Something that was a passing fad and is no longer relevant?  Hardly.  The need for the discipline of...
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What MDM Is and What it Isn’t

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October 29, 2012
What MDM Is and What it Isn’t

by Angela Guess Michele Goetz of Forrester Research recently wrote, “The number one reason I hear from IT organizations for why they want to embark on MDM is for consolidation or integration of systems. Then, the first question I get, how do they get buy-in from the business to pay for it? My first...
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Informatica SVP Dennis Moore on MDM

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October 25, 2012
Informatica SVP Dennis Moore on MDM

by Angela Guess Ian Murphy of Data Informed recently interviewed Informatica SVP Dennis Moore regarding the keys to successful Master Data Management. He writes, “Companies looking to extract value from their data need to first think about creating an environment where business data is clean and workable. Dirty data leads to questionable results. But...
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