Making an Effective Business Case for Master Data Management

85% is an extremely large percentage of master data management initiatives that never make it past the piloting or implementation phases. But why are some companies stuck?


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Why MDM Programs Fail

The number one reason for MDM program failure is a missing business case or in some cases, having an incorrect business case. Failure to use a structured framework that fosters business ratification of the financial benefits often leads to program failure.

There are few usual suspects of dysfunctional business cases:

  1. Better Data Quality
  2. Better Decisions
  3. Single Version of the Truth
  4. 360-Degree View of the Customer

Although these are all good architectural concepts/goals, they are not the final business goal. Organizations need to go beyond the ‘how’ to understand the ‘what’ and the ‘why.’

 

How to Avoid Making these Common Mistakes

So how do you prevent getting bogged down by these common situations that can lead to program failure? Here are 3 simple principles and techniques which will prevent becoming stuck in an attempt to justify your data management program value.

1. State your business case(s) without mentioning “MDM” or even “data”
Try instead:

  • “We are hoping to increase customer on-boarding rate by XX% while reducing error rate to X%
  • “Reduce slack in new product introduction cycle by XX%”
  • “Increase asset up time by XX%”If organizations can’t do this, they have a huge red flag. It’s time to stop and take stock in order to get to this level of detail and continue working through why you are justifying the program.

2. Categorization of Business Benefits
How do you formulate, categorize, and prioritize business process and analytics changes?

Figure 2.

Your goal is to work towards moving from the bottom left corner of the quadrant and think more out of the box as you move towards the upper right. This will involve net-new processes being adopted at your organization but will also drive new revenue that can fund an investment in an MDM program.

3. Use SMART Goals Technique for MDM
Are the outcomes for your MDM program:

S – Specific: Target specific area(s) for improvement
M – Measurable: Quantify or at least suggest an indicator of progress
A – Assignable: Specify who will do it
R – Realistic: State what results can realistically be achieved, given available resources
T – Time-related: Specify when the result(s) can be achieved

Now that you have a better idea of how to justify and make an effective business case for your MDM program, what are next steps?

1. Identify a framework
2. Use the framework to connect the benefits of MDM
3. Validate the metrics and priorities with stakeholders
4. Trade the completed framework as a living document

As you continue on your MDM journey, keep these business case tips in mind to avoid creating a justification that doesn’t accurately convey the real and attainable business benefit of the program.

Interested in learning more? Watch the full on-demand webinar recording below.

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Featured image for the blog with the text, "How to Expand from Analytical to Operational MDM" as written by Profisee VP of MDM Initiatives Christopher Dwight

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