Sports Analytics · United Kingdom

How PTI Digital tripled non-technical workflow users and cut project setup time by 50%

Replacing engineering bottlenecks with self-serve, repeatable data workflows — so every team member can move at full speed.

50%
Faster project setup
300%
More self-serve users
70%
Data consistency
Company size
Medium
Company industry
Sports Analytics & Media
About the company

A sports data consultancy transforming fragmented data into strategic insights

PTI Digital partners with sports organisations to transform fragmented, siloed data into strategic insights. With a growing roster of high-profile clients across football, rugby, and other sports, PTI needed a scalable solution that could empower both technical and non-technical teams to work independently with complex data.

In sports analytics, speed is everything. Clients expect insights fast — and PTI's ability to deliver depends on workflows that launch quickly, run reliably, and don't require an engineer for every change.

The challenge

Every workflow change needed an engineer — and engineers were always the bottleneck

PTI managed multiple datasets across a growing number of clients and projects. Relying on manual exports and ad-hoc file sharing introduced risks of inconsistency and duplication. But the deeper problem was dependency: any change to a data workflow required engineering involvement.

This created a structural bottleneck. Analysts and account teams couldn't act independently. Every data question became an engineering request. New client projects took too long to launch — and as the client roster grew, the gap between capacity and demand kept widening.

The solution

Repeatable, self-serve workflows — built once, reused across every client

Mammoth gave PTI's teams the tools to build scalable data workflows that anyone could run, manage, and adapt:

  • Rapidly create and launch new client workflows from reusable templates
  • Map and visualise data relationships without writing a single line of code
  • Enable collaboration between technical and non-technical staff on the same workflows
  • Standardise data preparation without relying on external tools or engineering support
  • Allow analysts to build, edit, and run workflows independently at full speed
The outcome

300% more self-serve users. 50% faster launches. Engineering unblocked.

  • 300% growth in non-technical users actively managing data workflows independently
  • 50% reduction in project setup time — new client projects launch in half the time
  • 70% improvement in data consistency across all client reports and deliverables
  • 45% faster project launches — improving client satisfaction and retention
  • Engineering team freed from routine data tasks — able to focus on higher-value projects

Mammoth enabled us to create repeatable, scalable workflows without relying heavily on engineering. It has been a game-changer for operational efficiency.

Chris
Data & Digital Transformation, PTI Digital
The transformation · From engineering bottleneck to self-serve workflows at scale
BEFORE Every workflow needs an engineer AFTER Everyone manages their own workflows Analyst TICKET Account Mgr TICKET Client A TICKET Client B TICKET Engineer BOTTLENECK Days to launch every new client project MAMMOTH Analyst Builds & runs workflows SELF-SERVE Account Mgr Adapts client views SELF-SERVE Client Accesses own data SELF-SERVE USERS self-serve SETUP 50% faster CONSISTENCY 70% better ZERO ENG

The Mammoth advantage

Why Mammoth worked for PTI Digital

Three things made the difference — and they're the same three things every fast-growing analytics team tells us about.

Speed to launch

Reusable workflow templates cut new client project setup time by 50%. What used to take days of engineering effort now takes hours — and the next client project takes even less.

Team independence

300% more non-technical users managing their own workflows. Analysts, account managers, and clients can all work directly with data — no engineering ticket required.

Consistency at scale

70% improvement in data consistency across all client deliverables. Standardised preparation means every report looks and feels the same — regardless of who built the workflow.