Faro Lighthouse · Business case
What bad data really costs
The most expensive data problems are not on any invoice. They show up as slow decisions, conflicting numbers, analysts copying spreadsheets and AI budgets that never pay back. Here is what the research says - and what a data foundation changes.
The market
Data decides who wins. Most companies are not ready.
Problems we solve
Every company thinks it has a data problem. Most don't know which one.
Where the money comes from
Three levers your CFO can measure
Lower platform cost
a month at a private US university. About $112,000 a year freed for strategic work.
Read the story → 2Less engineering per change
for a new metric at a financial services company. Changes are configuration, not projects.
Read the story → 3Faster decisions
to an operational answer with an AI assistant on trusted data. 94% of answers correct.
Read the story →Your own numbers in one conversation. In a Discovery Session we estimate what these three levers are worth for your company.
Book a Discovery SessionSources
- MIT CISR (Weill et al., 2024) - top- vs bottom-quartile real-time businesses, 259 C-suite leaders. cisr.mit.edu
- Precisely / Drexel LeBow (2024) - data integrity trends. lebow.drexel.edu
- RAND Corporation (Ryseff et al., 2024) - why AI projects fail. rand.org
- Informatica CDO Insights (2025) - survey of 600 CDOs. informatica.com
- Harness, FinOps in Focus (2025). harness.io
- Monte Carlo / Wakefield Research (2023) - survey of 200 data professionals. montecarlo.ai
- Gartner (2020) - data quality: measurement and average cost (self-reported). gartner.com
- dbt Labs / Harris Poll (2025) - survey of 510 analysts. getdbt.com
- Info-Tech Research Group (2024), via InformationWeek. informationweek.com
Client figures come from the Faro implementations described in our success stories. We don't name clients without their consent.
