One of the challenges of a master data management program is the decision on standardization. The opportunity to establish common definitions, format and domain ranges (allowed values) also presents a risk to introduce delays to your program. If you are a diversified business or a global organization, the delays are compounded.
How do you address the standardization challenge?
First step is to bring data awareness within your organization. This needs good amount of groundwork by IT leaders. Profiling of data, confirming data ownerships (or lack there of), reviewing information visibility requirements et al.
Second, identify data elements (attributes) that are potential candidates for standardization. Categorize your data using a tiered approach. Your industry may drive the amount of attributes to be standardized.
Third, bring awareness about your data and the need for standardization beginning with your immediate information consumers. Translate your findings from step 1 and 2 into simple narratives that business users can relate to and understand. Let this awareness percolate across the organization prompting attention of business leaders.
This will lay the foundation for your next (and generally more challenging) steps for data standardization. Stay tuned for Part 2.
If you are in the midst of a MDM program, what were your challenges in executing Steps 1 to 3 ?
Showing posts with label data consensus. Show all posts
Showing posts with label data consensus. Show all posts
Sunday, June 14, 2009
Wednesday, April 16, 2008
Master Data and DNA - Drawing a parallel
Wikipedia definition:
Deoxyribonucleic acid (DNA) is a nucleic acid that contains the genetic instructions used in the development and functioning of all known living organisms and some viruses. The main role of DNA molecules is the long-term storage of information. DNA is often compared to a set of blueprints or a recipe, or a code, since it contains the instructions needed to construct other components of cells, such as proteins and RNA molecules. The DNA segments that carry this genetic information are called genes, but other DNA sequences have structural purposes, or are involved in regulating the use of this genetic information.
Master data contains key business entities and their definitions used in the development and functioning of all business events. The main role of master data is the accurate long-term institutional reference of information. Master data is often compared to a set of blueprints or a recipe, or a code, since it contains information needed for product/service leadership, closer customer interactions and operational efficiencies.
How familiar are you with your organizational DNA ?
Deoxyribonucleic acid (DNA) is a nucleic acid that contains the genetic instructions used in the development and functioning of all known living organisms and some viruses. The main role of DNA molecules is the long-term storage of information. DNA is often compared to a set of blueprints or a recipe, or a code, since it contains the instructions needed to construct other components of cells, such as proteins and RNA molecules. The DNA segments that carry this genetic information are called genes, but other DNA sequences have structural purposes, or are involved in regulating the use of this genetic information.
Master data contains key business entities and their definitions used in the development and functioning of all business events. The main role of master data is the accurate long-term institutional reference of information. Master data is often compared to a set of blueprints or a recipe, or a code, since it contains information needed for product/service leadership, closer customer interactions and operational efficiencies.
How familiar are you with your organizational DNA ?
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