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When developing a data governance program, its important to present a strong business case to get buy-in from top executives and stakeholders. A crucial part of the business case is an estimate of the data governance programs return on investment (ROI) to show how it will add value to the company. You will need to justify the ROI based on both business and IT strategy to ensure that available funds are used to best meet the business objectives.

To do this you will need to carefully analyze the IT infrastructure with regard to how different components of the IT infrastructure work together to support business processes, how data needed by one system can be received and used by another, how easily data can be communicated and/or repurposed. You will also need to factor in risks and adverse events such as costs associated with rework in data collection, costs associated with unreliable or unfit data, and delays associated with untimely or unavailable data. Now, all of these costs must be quantified and your level of confidence in the corporate data has to be calculated to ensure your business case accurately reflects the value of a data governance program.

One metric used to make this calculation is the confidence in data-dependent assumptions metric, or CIDDA (Reeves & Bowen, 2013). The CIDDA identifies specific areas of deficiency.

So, to sum up, when building a data governance model, it is necessary to:

1. Establish a leadership team
2. Define the programs scope
3. Calculate the ROI using the CIDDA.

CIDDA is computed by multiplying three confidence estimates using the following formula:

CIDDA = G x M x TS

where

• G = Confidence that data are good enough for their intended purpose
• M = Confidence that data mean what you think they do
• TS = Confidence that you know where the data come from and trust the source.

CIDDA is a subjective metric for which there are no industry benchmarks, yet it can be evaluated over time to gauge improvements in data quality confidence.

To ensure your understanding of this IT Toolbox item, calculate the CIDDA of Company A over time, using the stated levels of confidence in the different aspects of its corporate data over Q1Q4 2017:

Q1_2017 : G = 40%, M = 50%, TS = 20% Q2_2017: G = 50%, M = 55%, TS = 30% Q3_2017: G = 60%, M = 60%, TS = 40% Q4_2017: G = 60%, M = 60%, TS = 45%