Health Technology · United States

How RethinkFirst saved 50+ hours a month and achieved 10× ROI with Mammoth

Replacing engineer-dependent workflows with self-serve data operations — onboarding analysts in under two weeks.

86%
Less manual work
94%
Cost reduction
10× ROI
Return on investment
Company size
Large enterprise
Company industry
Health Technology & Healthcare
About the company

A health technology company supporting caregivers and educators across the US

RethinkFirst is a health technology company offering cloud-based tools and training for caregivers and educators supporting individuals with developmental disabilities. They serve organisations across healthcare, education, and employee benefits — with a strong focus on data-driven care and compliance standards.

At RethinkFirst's scale, data operations directly impact care quality. When analysts can't work independently and engineers are pulled into routine tasks, the whole organisation slows down — and so does the care it delivers.

The challenge

Engineers in the loop for everything — and analysts who couldn't work alone

RethinkFirst's growing data complexity made it harder for analysts to work independently. Engineers had to support daily operations, and onboarding new analysts was slow — with legacy workflows scattered across platforms and people.

Every time something broke, it took an engineer to fix it. Every new analyst needed weeks of hand-holding. The cost of running data operations was high, and the capacity to scale was limited — a structural problem that only got worse as the team grew.

The solution

Self-serve data operations — built for analysts, not just engineers

Mammoth gave RethinkFirst's team the tools to work independently — at every level:

  • Data Passthrough Controls to troubleshoot workflows safely, without engineering support
  • Dataflow Maps to visualise end-to-end data relationships — no guesswork
  • Collaboration Tools enabling shared workflows across technical and non-technical staff
  • A Self-Serve Academy to upskill team members on data handling independently
  • Full audit trails and enhanced visibility across all workflows
The outcome

50+ hours saved. 94% cost reduction. 10× ROI. Analysts independent in under 2 weeks.

  • 86% reduction in manual work — 50+ hours saved per month across the team
  • 94% cost reduction in data operations infrastructure and maintenance
  • 10× ROI — the platform delivered ten times its cost in measurable value
  • 70% reduction in troubleshooting time — issues resolved without engineering
  • New analysts onboarded in under 2 weeks — contributing independently from day one

What stood out was how easy it was to understand and build on top of existing pipelines. Even non-technical users could dive in and start contributing with minimal support.

Toni
Data & Product Team, RethinkFirst
The transformation · From engineer dependency to self-serve data operations
BEFORE High cost · engineer dependency · slow onboarding AFTER 94% cheaper · analysts independent · 10× ROI BEFORE MAMMOTH MONTHLY COST High engineering overhead ANALYST ONBOARDING W1 W2 W3 W4 W5 W6 W7+ weeks before contributing independently Engineers pulled into daily operations Legacy workflows scattered across teams Every break = engineer ticket Complexity grows · capacity doesn't High cost · low ROI engineering overhead eating into value MAMMOTH Data Operations · Self-Serve PASSTHROUGH CONTROLS Troubleshoot safely No engineer needed −70% fix time DATAFLOW MAPS Visualise everything End-to-end · full audit trail Full visibility COLLABORATION TOOLS Shared workflows Technical + non-technical teams +50% multi-user SELF-SERVE ACADEMY Onboard in <2 weeks Analysts contributing from day one Was: weeks+ COST vs BEFORE 6% of previous cost · 94% reduction 50+ hrs saved/month 94% cost saved 10× ROI <2 wks to onboard 86% less manual work

The Mammoth advantage

Why Mammoth worked for RethinkFirst

Three things made the difference — and they're the same three things every health tech data team tells us about.

Cost efficiency

A 94% cost reduction and 10× ROI. Mammoth replaced expensive, engineer-heavy data operations with lean, self-serve workflows — at a fraction of the cost.

Analyst independence

New analysts are contributing within two weeks. Troubleshooting time dropped 70%. The team scales without scaling the engineering headcount required to support them.

Visibility

Dataflow Maps and full audit trails give the whole team — technical and non-technical — complete visibility into how data moves. No black boxes, no guesswork.