From Data Quality to Business Outcome

Explaining how data quality improvement will lead to business outcome has always been difficult. The challenge is that there very seldom is a case where you with confidence can say “fix this data and you will earn x money within y days”.

Not that I have not seen such bold statements. However, they very rarely survive a reality check. On the other hand, we all know that data quality problems seriously effect the healthiness of any business.

A reason why the world is not that simple is that there is a long stretch from data quality to business outcome. The stretch goes like this:

  • First, data quality must be translated into information quality. Raw data must be put into a business context where the impact of duplicates, incomplete records, inaccurate values and so on is quantified, qualified and related within affected business scenarios.
  • Next, the achieved information quality advancements must be actionable in order to cater for better business decisions. Here it is essential to look beyond the purpose of why the data was gathered in the first place and explore how a given piece of information can serve multiple purpose of actions.
  • Finally, the decisions must enable positive business outcomes within growth, cost reductions, mitigation of risks and/or time to value. Often these goals are met through multiple chains of bringing data into context, making that information actionable and taking the right decisions based on the achieved and shared knowledge.

Stay tuned – and also look back – on this blog for observations and experiences for proven paths on how to improve data quality leading to positive business outcome.  

TCO, ROI and Business Case for Your MDM / PIM / DQM Solution

Any implementation of a Master Data Management (MDM), Product Information Management (PIM) and/or Data Quality Management (DQM) solution will need a business case to tell if the intended solution has a positive business outcome.

Prior to the solution selection you will typically have:

  • Identified the vision and mission for the intended solution
  • Nailed the pain points the solution is going to solve
  • Framed the scope in terms of the organizational coverage and the data domain coverage
  • Gathered the high-level requirements for a possible solution
  • Estimated the financial results achieved if the solution removes the pain points within the scope and adhering to the requirements

The solution selection (jump-starting with the Disruptive MDM / PIM / DQM Select Your Solution service) will then inform you about the Total Cost of Ownership (TCO) of the best fit solution(s).

From here you can, put very simple, calculate the Return of Investment (ROI) by withdrawing the TCO from the estimated financial results.

MDM PIM DQM TCO ROI Business Case

You can check out more inspiration about ROI and other business case considerations on The Disruptive MDM / PIM /DQM Resource List.