Data Lake ROI Calculator

What This Estimates

This calculator focuses on the labor a data lake takes off your team: the recurring hours spent pulling exports, stitching them together, and reconciling them into reports by hand. It does not try to price the faster decisions, the tighter close, or the labor and food-cost points a unified view helps you win. Those are real, and usually larger, but they depend on your baseline and execution, so we size them with you on a call. Treat what you see here as the conservative floor.

Your Inputs

Size everything conservatively. It is easier to be pleasantly surprised than to defend an inflated case.

Locations or Entities Reported On How many locations, stores, or legal entities roll up into your reporting. Context for the scale of the consolidation. Hours per Month Pulling and Reconciling Reports Per person, per month, spent pulling exports, consolidating, and reconciling reports by hand. People Doing That Work How many people spend those hours on manual reporting each month. Loaded Hourly Cost (USD) Fully loaded cost per hour: salary plus benefits and overhead. Share of That Work Automated (percent) How much of the manual pulling and reconciling the data lake takes over. Rarely all of it, so we default to a conservative share. One-Time Build Cost (USD) The fixed-fee project to connect your systems and stand up the warehouse and reports. Annual Run-State Cost (USD) Ongoing yearly cost to keep it running. You own the code and it runs in your own cloud, so this is usually just your provider's compute and storage, sized in discovery. Defaults to zero; add your cloud estimate if you want it in the number.

Your Result

Updates as you type.

Annual Hours Saved

0 hours

Annual Labor Savings

Cumulative Net After

Labor savings across the period, minus the build, minus run-state.

Year 1

3 Years

5 Years

Simple Payback

Build cost divided by monthly labor savings.

Book a Discovery Call

We will size the full picture, including the decisions this speeds up, against your real numbers.

This is an illustrative estimate, not a quote or a guarantee. It captures only the recurring manual-reporting labor a data lake removes, using your own inputs and a conservative automation share, and it assumes the savings hold steady each year. It leaves out the larger, harder-to-price value of faster decisions, a shorter close, and the labor and food-cost points a unified view helps you win. Real results depend on your systems, your data quality, and your team. Use this to frame a conversation, not to set a budget. Book a call and we will scope it against your actual work.

Want the Full Picture for Your Group?

Book a 30-minute discovery call. We will walk through your systems, the hours your team loses to manual reporting, and the value beyond labor that a unified data lake unlocks. You leave with a clearer number even if we never work together.

Book a Discovery Call