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The ROI of a BI Implementation: How to Build the Business Case

Most BI investments get approved on instinct: we need better visibility, this seems like the right investment, let us do it. The projects that get the most resources and the most executive support are backed by a business case that speaks in financial terms.

Here is how to build one that finance will take seriously.

Quantify the manual work being replaced

Start with the hours being spent on manual reporting and data reconciliation. How many people, how many hours per week, at what loaded cost? This is the most defensible number in any BI business case because it is directly observable.

A controller spending 15 hours per month on manual financial reporting at a fully loaded rate of $75 per hour is $1,125 per month in direct cost. Annualized: $13,500. This is the floor, not the ceiling, of the ROI.

Quantify the decision quality improvement

This is harder but often larger. If leadership is currently making resource allocation decisions with 30-day-old data, what is the cost of those decisions being suboptimal? If a quality problem that shows up on the weekly report could have been caught on the daily dashboard, what is the cost of the extra days of defective production?

These numbers require estimates. Reasonable estimates with clearly stated assumptions are more credible than precise numbers with no visible methodology.

Account for the ongoing value

A BI investment does not depreciate like equipment. Assuming the data infrastructure is maintained, it produces value indefinitely. A five-year NPV calculation changes the framing from "this costs $80,000" to "this produces $400,000 in value over five years."

Be conservative

A business case that promises a 10x return and delivers 8x is a success. A business case that promises 4x and delivers 3x fails on the same math. Build your case on numbers you are confident you can hit.


If you want help building a BI business case for your organization, reach out. We have built enough of these to know what finance teams find credible.

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