strategy

With Plainsight, we didn’t just get a data strategy. We got a path to AI we could actually follow.

What we deliver:

  • A business-aligned data strategy that drives measurable outcomes

  • A clear roadmap for unlocking value from data, analytics & AI

  • Prioritized use cases tied to ROI and strategic impact

  • Strong modus operandi baked into people, processes & technology to execute on your roadmap

Clarity from Strategy to Execution

The path to analytics and AI success starts long before models or dashboards—it begins with strategic clarity. The image above represents Plainsight’s proven approach to transforming your business with data:

To create analytics & ai clarity we need to be C.L.E.A.R.

In a world overwhelmed by data but starved of insight, organizations need more than dashboards - they need direction. The C.L.E.A.R. Framework is our proven, end-to-end approach to data strategy formulation that transforms ambiguity into action.

What C.L.E.A.R. Stands For:

  • C – Capture
    We uncover your current and future-state use cases through stakeholder interviews, business analysis, and value mapping.

  • L – Link
    We connect each use case to strategic business objectives to ensure every initiative drives measurable impact.

  • E – Evaluate
    Use cases are prioritized using a tailored framework that balances feasibility, value, and urgency.

  • A – Architect
    We build a pragmatic, phased roadmap across people, processes, technology, and data capabilities.

  • R – Realize
    We define the operating model and governance structure to move from roadmap to results and help you execute with confidence.

Example of Capturing use cases

Why this matters

In today’s data-driven landscape, clarity isn’t optional, it’s a competitive advantage.

The C.L.E.A.R. Framework brings focus, alignment, and execution discipline to your analytics and AI ambitions.

Here’s why it matters:

  • Aligns data initiatives with business value - so every use case has measurable impact

  • Prevents wasted investments - by prioritizing what’s feasible, valuable, and urgent

  • Drives cross-functional clarity - across roles, technology, processes, and data assets

  • Establishes a scalable roadmap - grounded in real organizational capabilities

  • Enables confident execution — with a clear operating model and governance approach

  • A roadmap based on value, not guesswork

  • A shared understanding of where you are and where you want to go

  • A strategy that covers data platforms, consumption, and AI adoption

  • A future-ready approach that’s built to grow with you

  • A plan designed with users, not just for them

What you get

Ready to clarify your analytics & AI strategy?