Simplified Data Solutions

Services · Step 02

Data Transformation

The foundational work that makes everything else possible: connected systems, clean and governed data, and operational dashboards your leadership team will actually use to make decisions.

Data transformation and systems integration

What's included

  • Systems integration: connecting your ERP, MES, CRM, and other data sources into a unified data layer
  • Data quality remediation — identifying, flagging, and fixing the data problems that undermine confidence in reporting
  • Data governance framework: ownership, definitions, refresh schedules, and quality monitoring
  • Operational dashboards for plant leadership, operations, and finance — built around the decisions they actually make
  • AI readiness buildout: structured data models, documentation, and governance that make future AI projects viable
  • Training and handoff so your team can maintain and extend the system independently

Engagement details

Timeline
3–5 months
Primary deliverable
Unified data layer + operational dashboards
Best for
Manufacturers with a clear roadmap, ready to build the foundation
Prerequisite
Discovery, Strategic Plan, and Roadmap engagement (or equivalent clarity)

Start with a conversation

Not sure if you're ready for Data Transformation? Start with Discovery, Strategic Plan, and Roadmap. In 30 minutes, we can tell you which engagement fits.

Schedule a Conversation

Why this is the work that matters most.

Most manufacturers have invested significantly in systems — ERP implementations, BI tools, MES deployments. Most of those investments are underperforming. Not because the systems are bad, but because the data underneath them isn't clean, connected, or governed.

Gartner's finding that 60% of AI projects fail isn't a story about AI — it's a story about data foundations. You can't build reliable automation on top of unreliable data. You can't build AI on top of systems that don't talk to each other.

Data Transformation is the engagement that changes the denominator. After it, every downstream decision — about BI, about automation, about AI — becomes cheaper, faster, and more likely to succeed. Before it, you're building on sand.