What Is Analytics Sprawl Costing You?
Most organizations are paying for analytics content nobody uses and people to manage it. This calculator shows you how much.
Enter four numbers. Get an instant cost estimate with full transparency.
What It Measures
The annual cost of R.O.T. — Redundant, Obsolete, and Trivial analytics content sitting in your environment. Every R.O.T. app costs you in licensing fees and the people who maintain it.
How It Works
Enter four numbers about your analytics environment. The calculator estimates how much of your spend is going to content that should be retired — and what you'd save by cleaning up before a migration.
What You Get
A real-time cost estimate with full transparency into how every number is calculated. Download the report or bring the numbers directly into a discovery call.
Industry average: 30–38% (Gartner / Flexera, 2024). If unsure, start at 40%.
Default: $135,000 — industry average for BI/analytics professionals.
Manual: $8K–$15K/app per app (Gartner migration complexity benchmarks).
Based on benchmarks from Gartner, Flexera, and McKinsey. Adjust the inputs to match your environment. An Evil Genius Diagnostic replaces every estimate with exact numbers from your actual environment.
Estimated Annual Cost of Sprawl
$292K
per year
$876K
over 3 years
Wasted Licensing
$130K
40% of $325,000 in platform spend
Wasted FTE Cost
$162K
3 FTE × $135,000 × 40% R.O.T.
Migration Risk
Medium
Migration Cost Comparison
Migrate all 100 apps
$1.2M
Clean first, migrate 60
$720K
Migration savings
$480K
Using manual approach at $12,000/app. Fewer apps to migrate means less time, less cost, and less risk.
Wasted Licensing
$325,000 × 40% = $130,000
Your R.O.T. percentage applied to total licensing spend
Wasted FTE Cost
3 FTE × $135,000 × 40% = $162,000
Fully loaded FTE cost proportional to R.O.T. content they manage
Total Annual Cost
$130,000 + $162,000 = $292,000
Migration Savings
40 R.O.T. apps × $12,000/app = $480,000
Cost avoided by eliminating R.O.T. apps before migration (manual approach)
Industry Benchmarks
These Aren't Our Numbers. They're the Industry's.
30-38%
of analytics & SaaS license spend is wasted
Gartner / Flexera, 2024
63%
of organizations lack data management practices for AI
Gartner, Q3 2024 (n=248)
60%
of AI projects will be abandoned without AI-ready data by 2026
Gartner, 2025
97%
of data leaders have multiple BI and reporting apps
Hakkoda / Dimensional Research, 2021
$12.9M
average annual cost of poor data quality per organization
Gartner, 2020
40%
of IT balance sheets consumed by technical debt
McKinsey Digital, 2022
Benchmark data reflects the most recent published figures from each source. Industry practitioners report these trends have accelerated since original publication.
Estimates Are a Start. Data Is Better.
This calculator uses industry averages. Our diagnostic scans your actual environment and delivers exact R.O.T. classification, dependency maps, and a prioritized action plan.