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Platform Consolidation: A Practical Guide

How organizations are consolidating tools, reducing costs, and accelerating insights with streamlined data architectures.

Kirk BiliasNovember 202412 min read

Over the past year, I've helped several organizations consolidate their data platforms. The pattern is remarkably consistent: companies that grew quickly accumulated tools faster than they could integrate them properly.

Why Consolidate?

Reduced cognitive load - Your team can master five tools deeply instead of knowing fifteen superficially.

Faster onboarding - New hires become productive in weeks, not months.

Better data quality - Fewer handoffs between systems means fewer places for data to break.

The Consolidation Framework

Phase 1: Discovery (2-3 weeks)

Create an inventory of every tool in your data stack, monthly cost, which teams use each tool, and integration points.

Phase 2: Rationalization (1-2 weeks)

Categorize each tool: Keep, Consolidate, or Sunset.

Phase 3: Migration Planning (2-4 weeks)

Document workflows, data migrations, user retraining, and timelines.

Phase 4: Execution (4-12 weeks)

Execute migrations in order of risk—start with lower-stakes tools to build confidence.

The Results

A typical consolidation project results in 30-50% reduction in tooling costs and 40% reduction in integration maintenance.

Need help with your data strategy?

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