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2/7/2011
06:43 PM
Rajan Chandras
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10 Tenets Of Enterprise Data Management

Data quality, master data management, metadata management, data warehousing architecture and data integration: These are all pieces of the data management puzzle, but rare is the enterprise that has assembled these pieces into a cohesive and coherent picture. Get it right and you can count on clean and consistent data from transaction systems and reliable insight from business intelligence systems. It doesn't end there. Your data management strategy must also consider business processes and busi
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Business Process Management may be all about processes, but it's not without data considerations. How does an orchestration consume data, where does that data come from, and where should the data come from? What data transformations are occurring inside the BPM solution, and (how) can they be leveraged for wider consumption? Finally, what, exactly, is your definition of BPM, anyway?

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ElizabethB207
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ElizabethB207,
User Rank: Apprentice
3/31/2014 | 5:20:49 PM
Re: Effective Enterprise
You're right, Sarah.  Enterprise Data Management, for most enterprises, is an cultural change.  Historically, business units have had exclusive rights to their data and some are quite unwilling to share.  In many cases it is not the technology that they resist, but the loss of power that comes with being the SME, the one-and-only expert about a particular type of data in an organization, and they fear that if they relinquish the information about the data (metadata) and allow others access to it, they could lose more than that power, they could lose their jobs.  This is ridiculous for the most part.  If you are a contributing member of the enterprise, they will keep you around.  But the larger issue is how the culture of data, as an asset, and as such it must be managed, understood, inventoried, defined, made available to all with appropriate security and privacy considerations in mind.  And as all cultural changes, it has to be introduced to employees in such a way that they understand their valuable contribution to the data pipeline.  And how their jobs will change, not disappear, when Data Management (big D and M) is implemented.

Liz B. 
SarahQWillis
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SarahQWillis,
User Rank: Apprentice
12/18/2013 | 10:25:34 AM
Effective Enterprise
Some really insightful information, thank you for sharing. How do you think employee's fit into the data management puzzle? A number of firms building an enterprise data warehouse seem to be encountering employee resistance to new technologies? What are your thoughts on effective enterprise data management requiring commitment? I recently read that reference data should be established for reconciliation, customer relationship management systems, investor services and compliance, the information from which can then be used to create technical infrastructure from an enterprise-wide level.
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