The Return On Investment (ROI) of Automated Data Testing

Making a business case for QuerySurge is easy with an ROI of 630% over 3 years!

Dark roi

QuerySurge Return On Investment (ROI) Calculation

Case Study: Fortune 50 Firm

With the assistance of our client, we were able to gather metrics to show the ROI of QuerySurge vs. testing without an automated data testing solution. The client previously used minus queries as the preferred test strategy.

This Case Study only takes into account ROI from a time/cost perspective of the same resources and not vs. head count redeployment or the impact of Bad Data.

QuerySurge vs. Manual Testing
(minus queries or sampling)

Data Snapshot

  • 522 Tests (QueryPairs)
  • 1,100,000 average rows
Manual Testing using Minus Queries Automated Testing with QuerySurge
Task Hours Cost Hours Cost
Test Design Time for 522 Tests 348 $26,000 348 $26,000
2 QuerySurge Subscription Licenses $11,493
Execution and Analysis Time Per Release 174 $13,050 8 $600
Report Creation 24 $1,000 1 $75
Totals after 1 Test Cycle 546 $40,050 357 $38,168
12 Cycles Per Year 2724 $194,600 456 $45,593
3 Year Project (36 Test Cycles) 7476 $531,800 672 $84,779

Total = (Test Design Time + Software Cost)
+ (Execution and Analysis Time + Report Creation)
× Number of Cycles

3‑year ROI = $534,600 (manual testing) / $84,779 (QuerySurge)= 630% ROI

This ROI calculation only calculates labor savings and does not take into account the inherent cost of bad data, which analyst firm Gartner states costs the average company $14 million annually.



  • Increased data testing coverage from < 10% to upwards of 100%
  • Decreased testing time by as much as 1,000 x over manual tests
  • Provides data quality at speed
Roi calculator

Return on Investment (ROI)

  • Time savings over manual testing (minus queries, sampling, other methods)
  • Redeployment of testing head count by upwards of 75%
  • Increase in better data due to shorter/more thorough testing cycle

Additional Issues with Minus Queries

  • Minus Queries are processed on either the source or the target data store, which can draw significantly on your database resources (CPU, memory, and hard drive read/write)
  • Minus Queries only return failed data sets, thus there is no historical review, analysis, or audit trail of data from past testing

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