Posted on January 5, 2010
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 on data as an enterprise asset.”
Link to Resource: No Data Left Behind: Federal Student Aid A Case History | PowerPoint Presentation
Source: Holly Hyland & Lisa Elliott, US Department of Education
MDM Resource Guide Section: Master Data Management User Scenarios and Success Stories
Posted on January 5, 2010
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 between $60 and $80 each.
3- Nearly 60% of all invoices generated have errors; each invoice error costs enterprises from $40 to $400 to reconcile.
4- 43% of all invoices result in some form of deduction.
5- New product rollouts take an average of four weeks-in large part because of inefficient and error-prone approaches for exchanging and updating new item attributes in buyer and seller systems.
Link to Resource: Content Data ROI Issues
Source: A.T. Kearney
MDM Resource Guide Section: Master Data Management – Data and Stats
Posted on January 5, 2010
As part of a deep, technical and incredibly well-crafted presentation on Enterprise Data Management, the author looks at the performance implications of supporting Centralized MDM vs. distributed repositories for MDM. From the Resource:
“Factors that require evaluation during planning Master Data Store: Hub vs. Spoke, Data Volumes, Data Volatility (frequency of changes), Data Timeliness, Query Volatility (% of ad hoc queries), Query Complexity, Cross Functionality, and User Concurrency.” See Slide 37 and be sure to read the speakers notes for additional MDM insights.”
Link to Resource: Enterprise Data Management Optimization [8MB PowerPoint Presentation]
Source: Dr. Boris Zibitsker, BEZ Systems
MDM Resource Guide Section: Master Data Management Best Practices
