Resource Listing Weblog
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Master Data Management Explored: Master Data Management: Looking Beyond the Single View to Find the Right View
Even coming from a vendor (IBM), this Resource contains helpful information on MDM including: Introduction to MDM and MDM silos, examples and benefits. Ten pages of MDM goodness. Resource: Master Data Management: Looking Beyond the Single View to Find the Right View Source: IBM MDM Governance Resource Guide Section: Master Data Management Explored
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Master Data Management User Readiness and Adoption: Master Data Management is Inevitable… So Get Ready
An interesting look at trends that highlight the value and inevitability of MDM. From the Resource, here are the four trends that “point to MDM, making it inevitable”: 1) Data integration is booming, 2) Integration is more likely than migration and consolidation, 3) Virtualization is on the rise, and data virtualization is a subset of [...]
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Master Data Management – What is it?: Hit the Ground Running with Operational Master Data Management
“…the main objective of master data management is to embody the core services necessary to support business applications’ needs to access a high quality, synchronized, and consistent view of uniquely identifiable master data objects that are used across the enterprise.” Resource: Hit the Ground Running with Operational Master Data Management Source: David Loshin, Knowledge Integrity MDM Governance Resource [...]
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An Introduction to the Master Data Management Reference Architecture
A technical Resource that presents the concept of an MDM Reference Architecture as an integral tool in successful MDM implementations. From the Resource: “The MDM Reference Architecture is an industry- and product-agnostic reference architecture that supports implementing the multiple methods of use (collaborative, operational, analytical) for MDM and multiple implementation styles (registry, coexistence, transaction style). It [...]
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Master Data Management – What is it?: Dow's Master Data Management Business Processes
Master Data Management Defined: MDM is a set of disciplines, technologies, and solutions used to create and maintain consistent, complete, contextual and accurate business data for all stakeholders (users, and applications) across and beyond the enterprise. Resource: Dow’s Master Data Management Business Processes | PDF Source: Jim Whyte, Dow Chemical MDM Governance Resource Guide Section: Master Data Management [...]
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Master Data Management Benefits
“An MDM layer enables companies to realize internal efficiencies by reducing the cost and complexity of processes that use master data (through fewer code clashes, less data duplication, better control over business processes, and so on). It reduces manual translation and analysis to improve repeatability and speed to insight. An MDM layer improves the ability [...]
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Four Signs of Bad Data
Four signs of bad data: 1) Discrepancies: duplicates and obsoletes have crept in swelling the inventory size above the expected level. 2) Items are difficult to find: trouble locating the right item. Even suppliers can’t locate them with the given information. 3) More non-contract spend: they can’t be located here, so go get them at expensive off-contract price. 4) [...]
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Master Data Management Best Practices: Seven Master Data Management Best Practices
A review of best practices gathered from five enterprises who have successfully deployed MDM. While a bit topical, the guidance is sound. The best practices: 1. Get business involved — or in charge. 2. Allow ample time for evaluation and planning. 3. Have a big vision, but take small steps. 4. Consider potential performance problems. 5. Institute data governance policies [...]
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No Data Left Behind: Federal Student Aid A Case History
A detailed look at the US Department of Education’s Enterprise Data Management project, including project objectives, business drivers, architecture and much more. From the Resource: “EDM is a service to the business with the following goals: Support the improvement of enterprise analytics and Decrease the cost of and improve the quality of new development projects Focus [...]
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Content Data ROI Issues
According to a report prepared by industry consultants A.T. Kearney, bad data leads to a host of corporate problems: 1- Companies lose approximately $40 billion, or 3.5% of sales, each year because of supply chain information inefficiencies. 2- Nearly 30% of the item data in catalogs used by retailers and manufacturers is incorrect. Correcting those errors costs [...]
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