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| Transaction Cost Analysis (TCA) |
1) Management and Staff Support
Perhaps most important of all is having the complete support of everyone involved with the process. Because of the often exhaustive nature of MDM initiation, long-term commitment and changes it can bring about within an organization, it’s crucial that everyone buys in and is willing to do whatever it takes to make the process a success. Otherwise, a lack of support can throw a serious wrench in things.
2) Quality Data
If master data is inaccurate, extraneous, contains duplicates or is generally of low quality, it basically defeats the purpose of implementing MDM. Not only can it be costly to an organization and reduce profitability, but it can put a damper on productivity as well. Consequently, it’s imperative that master data meets strict quality standards, which is why many companies utilize data profiling to assess the quality of data prior to data migration.
3) Efficient Data Integration
Besides upholding rigorous quality standards, the actual process of consolidating data and moving it to a master repository needs to be efficient. Whether it’s a single company creating a master repository between different departments or two companies combining data during a merger, the data integration process needs to be as streamlined as possible to minimize setbacks and prevent it from being overly time-consuming.
4) A Secure and Scalable Master Data Repository
AdobeStock_83032898 (1)In an age where cyber crime is an omnipresent threat, security should be a major priority for everyone involved with MDM. An organization should uphold scrupulous security standards throughout initial integration and continue to uphold them moving forward. And because there’s a good chance that a data model will require modifications at some point in the future, it’s wise to have a repository that’s flexible enough to accommodate those modifications.
5) Continual Quality Control
For MDM to be successful in the long run, it’s important for an organization to take quality control seriously. Developing a data quality assurance program is usually the most effective way to go about it – and different departments throughout an organization need to be on the same page to maintain consistency. Doing so should ensure that data remains of the highest possible quality for years to come.
The bottom line is that MDM can do wonders for a company and is likely to be a growing trend over the next five years plus. But in order for MDM to be a success, it’s contingent upon these five main factors and a certain amount of persistence.
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