S&P Global — Predictive Analytics Platform

The Situation

S&P Global had rich data on how enterprise customers were using its products — but no reliable way to act on it. Churn risk was invisible until accounts were already lost. Expansion opportunities sat buried in spreadsheets updated weeks after the fact. Customer Success teams were flying blind on their largest accounts.

The organization needed a behavioral intelligence layer — something that could turn raw usage data into predictive signals that Product, Sales, and Customer Success could act on in real time. No such platform existed. It had to be built from scratch.

The Problem

Manual, slow reporting

Analytics delivery required weeks of manual work — by the time insights reached decision-makers, the moment to act had passed.
No predictive capability

There was no system to identify accounts at churn risk or flag expansion opportunities before they became obvious — or too late.
Siloed data, no shared intelligence

Product, Sales, and Customer Success each had fragments of the picture. No single platform stitched it together into actionable intelligence.

The Build

Working from a blank canvas, the platform was built in three phases:

Phase 01

Predictive Models

Partnered with Data Science to build churn risk scoring and expansion opportunity identification models using Tableau. Operationalized outputs so Sales and CS could act — not just see.

Phase 02

Real-Time Automation

Replaced manual multi-week reporting cycles with automated, real-time pipelines. Decision latency collapsed from weeks to hours — enabling proactive interventions on at-risk accounts.

Phase 03

Cross-Functional Intelligence Layer

Delivered regular analytics to senior leadership — establishing data quality standards and auditability in a regulated financial services environment. Gave Product, Sales, and CS a shared view of customer health for the first time.

The Outcome

Weeks → Real‑Time

Analytics delivery transformed from multi-week manual cycles to automated real-time reporting.

Proactive Interventions

Sales and CS moved from reactive to proactive — acting on churn risk before accounts were lost, and expansion signals before competitors noticed.

Board-Ready Reporting

Established data quality standards and auditability meeting the rigor of a regulated financial services environment.

Also at S&P Global

Before the analytics platform, Pri built spglobal.com from 0→1 — consolidating four division websites into one unified global presence.

Read that case study →