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Developing a Master Data Management Strategy
Cutter Consortium, June 2007, Pages: 90
There are many benefits for a company that understands that its greatest asset is the value locked inside its data. When data is properly maintained, cleansed, and stored in a consistent and efficient manner, it can provide key information that will assist in establishing short-term tactical and long-term strategic initiatives -- without fear that the underlying supporting information is erroneous.
The report 'Developing a Master Data Management Strategy' will help your organization implement a master data management (MDM) solution by drawing information from a variety of systems from across the enterprise to create a holistic view of your organization and gain a 'single view of the truth'. Youll learn how to make a business case for master data management, what to look for in an MDM solution, and how to better define your organizations requirements for an MDM solution.
This report will help you:
- Deliver a consistent set of information across all operational and reporting systems in your enterprise
- Create an MDM master repository that is clean, labeled, and clearly protected from accidental overwriting
- Select an MDM tool and methodology that will impose the least intrusion on your organizational infrastructure while still delivering what is required
- Ensure your MDM solution can support the different data formats required to transport data across your enterprise
- Reduce duplicate data entry, force commonality of codes, impose better control of business processes, and consolidate information locally and globally
- Conduct a proof of concept to determine how good a fit a vendors system is for your environment
- Meet the needs of BI toolkits that require accurate and refined data for the complex models in their applications
- Leverage XML as a data exchange mechanism
- Consider new approaches to managing both structured data and unstructured data
Youll learn what enterprise data types are a good fit for an MDM solution; the profound impact that search technology -- such as Google -- is having on the MDM world; the importance of data governance and business processes; and what mistakes to avoid when choosing an MDM vendor, such as conducting a proof of concept with a scope that is too large and complex.
Youll explore the four MDM application layers -- end user application layer, system integration layer, business integration layer, data management layer -- and the specific tasks for each of the five project phases in each layer. And youll discuss a number of MDM technology enablers, such as the cost per byte of data storage, the speed of data retrieval, and grid computing.
Finally, youll review three case studies detailing how other enterprises have used an MDM solution to solve their critical business problems, and youll get four recommendations to consider when building a business case for an enterprise MDM solution.
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