---
title: The Data Scaling Framework | RGM®
url: https://realgrowthmatters.com/learn/frameworks/scaling-data/
updated: 2026-06-10
source_html: https://realgrowthmatters.com/learn/frameworks/scaling-data/
---

## Three stages of data maturity

Crystal Widjaja's data scaling framework distinguishes three stages of organizational data maturity:

- **Data Informed.** The organization has data, looks at it, and uses it to support decisions — but decisions are still primarily intuition-driven, with data as confirmation or sanity-check.
- **Data Driven.** Decisions are made from the data. The team has instrumented its key loops and metrics, runs structured experiments, and acts on results rather than gut.
- **Data Led.** Data shapes strategy, not just tactics. The organization can predict outcomes from leading indicators, runs sophisticated models (MMM, incrementality, LTV cohorting), and integrates data into how products are built.

## Four capabilities within each stage

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At each stage, four capabilities must be built in tandem:

1. **Infrastructure.** The data warehouse, the instrumentation, the pipelines, the schemas.
2. **Analytics.** The dashboards, the analyses, the experimentation framework, the modeling.
3. **Operations.** The data cadence — who reviews what, how often, what decisions ladder from data.
4. **Team.** The right hires at the right time — generalists early, specialists as scale demands.

Mismatched maturity across these four is the most common failure pattern. A Data-Driven analytics team built on Data-Informed infrastructure produces beautiful dashboards with unreliable data.

#### RGM experts say

The most common error in scaling data: hiring sophisticated analysts before the infrastructure can support them. A senior analytics hire spends their first six months waiting for clean data instead of producing insights. The fix: build infrastructure first, then add analytics talent that can use it.

**Source & further reading.** This framework was originally articulated by the team at Reforge. For the original essay, see <https://www.reforge.com/blog/scaling-data>. RGM has expanded the framework with operator-side examples, RGM playbook content, and integration with the broader RGM growth strategy.

## Related frameworks

[**How to Build a Growth Team**

Three growth practitioner profiles (Builder, Optimizer, Visionary), three structural models (centralized, decentralized, hybrid), and the 4-step process for building a high-impact growth function — expanded from Reforge's framework.](/learn/frameworks/build-growth-team/)[**High-Leverage OKRs · The 6-Step Framework**

OKRs done well drive focus and outcomes. OKRs done badly create theater. The 6-step framework for outcome-oriented OKRs from Reforge — and the operating cadence that makes them stick. RGM's operator expansion.](/learn/frameworks/okr-guide/)[**Growth Loops vs. Funnels**

Why the fastest-growing products are systems of self-reinforcing loops, not linear funnels — and how to build, measure, and compound them. RGM's operator playbook expanding Brian Balfour's Reforge framework.](/learn/frameworks/growth-loops/)