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Case Studies·Finance·Case study·Pigment

Supercell: P&L Updates Reduced from 8 Days to 4 Minutes

PG

Pigment

Pigment · 2025

4 minP&L updates that used to take 8 days
Case Studies originally from Pigment
4 min
P&L updates that used to take 8 days
20–30%
weekly revenue shifts from a single game update
12 hrs
saved per reporting cycle via Fivetran-Pigment integration
API-first
architecture enabling real-time data connectivity

Supercell, the Finnish gaming company behind Clash of Clans, Hay Day, and Brawl Stars, generates billions in revenue across multiple live games simultaneously. When each game can spike or decline based on a single update, financial planning requires near-real-time responsiveness. Pigment enabled Supercell's finance team to reduce P&L update time from 8 days to 4 minutes — fundamentally changing how leadership makes financial decisions.

Supercell's case study represents the extreme end of financial planning velocity requirements — a business where a single game update can shift revenue by 20–30% in 24 hours, and where 8-day P&L consolidation was operationally equivalent to flying blind. The 4-minute P&L capability isn't just an efficiency achievement — it's a strategic capability that allows leadership to make content and investment decisions with full financial context.

1

Gaming Finance: Uniquely Volatile

Game revenue is among the most volatile of any software business. A game update, a competitor launch, a viral social media moment, or a platform policy change can shift weekly revenue by 20-30% overnight. Supercell's finance team needed to be able to reforecast the company's P&L within hours of a significant game event — not days. Their previous process couldn't come close to that.

  • Revenue can shift 20-30% week-over-week from a single game update
  • Multiple live games with independent revenue dynamics
  • Seasonal patterns (holidays, school breaks) amplified by in-game event calendars
  • Live operations data from game analytics must feed financial models in near real time
2

The 8-Day Problem

Before Pigment, Supercell's P&L consolidation relied on a complex web of Excel models that had been built incrementally over years. A P&L update required data analysts to pull game revenue data, finance analysts to update revenue assumptions in multiple linked spreadsheets, controllers to reconcile the different versions, and finally a senior finance team member to produce the consolidated view. Eight days. For a business where the data was available in hours.

3

Pigment's Connected Planning Architecture

Pigment's flexible, API-first architecture allowed Supercell to connect game analytics data (via Fivetran), accounting data (from their ERP), and headcount data (from HRIS) into a single connected planning model. When any upstream data source updates, the P&L model refreshes automatically. The 4-minute figure represents the time from data availability to completed P&L — not human work time, but total calendar time.

4

The Fivetran Integration: 12 Hours Saved Monthly

A secondary benefit documented in the case study is the Fivetran-Pigment integration for executive reporting. Supercell's weekly leadership dashboard — previously assembled manually from multiple sources over 12 hours — now refreshes automatically whenever source data updates. Finance's credibility with the leadership team improved significantly when they stopped being the bottleneck between data and decisions.

When a game update can move our revenue by 25% in 24 hours, an 8-day consolidation cycle is useless. Finance's value depends on being able to respond in hours, not days.
Finance Team, Supercell (Pigment Case Study, 2025)

Practical Implementation Checklist

  • Assess your business's 'financial response latency requirement': how quickly does your leadership team need updated P&L data after a major business event? If the answer is less than 48 hours, you need an API-first planning architecture
  • Map your data sources and update frequencies before platform selection: gaming revenue updates hourly; SaaS billing updates daily; manufacturing production updates shift-by-shift — the platform must match your data velocity
  • Invest in a modern data integration layer (Fivetran, Airbyte, or similar) before investing in the planning platform — the planning model is only as current as the data feeding it
  • Design for automatic refresh rather than manual pull: any planning model that requires a human to initiate a data pull will always lag behind fast-moving business events
  • Use the executive reporting automation as your first live demonstration: automating the weekly leadership dashboard is visible to leadership immediately and builds credibility for further investment
  • Document your 'financial event response protocol': for a major revenue shift event, define who is notified, what analysis is produced, and in what timeframe — then build your platform to support that protocol automatically
Bottom Line

Supercell's 8-day to 4-minute P&L transformation is the most dramatic operational improvement documented in FP&A case study literature — and it represents the logical endpoint of connected, API-first planning architecture. Any business with high revenue volatility or high decision velocity should use this case study as the benchmark for what financial planning speed looks like when the technology ceiling is removed.

Key Takeaways

7 insights
1

P&L consolidation from 8 days to 4 minutes — achieved through connected, API-first planning architecture

2

Gaming finance uniquely requires near-real-time reforecast capability when game events occur

3

Fivetran-Pigment integration automates executive reporting, saving 12 hours per reporting cycle

4

API-first platforms outperform legacy tools for businesses with volatile, high-frequency data

5

Finance team credibility improved dramatically when they stopped being the reporting bottleneck

6

Assess your 'financial response latency requirement': how quickly do you need P&L data after a major business event?

7

Modern data integration layers (Fivetran, Airbyte) are a prerequisite for real-time planning — invest there before investing in the planning model

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