Explore the INFORMS Analytics Framework

Seven domains. One connected lifecycle.

The IAF is a complete lifecycle structure for successful analytics work. Its seven domains help individuals, teams, and organizations frame the right business or mission questions, coordinate work across stakeholders, select and use appropriate methods, deploy solutions effectively, and sustain value over time.

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Select a domain to explore

The seven domains are connected and iterative, not sequential. Work in a later domain often reveals the need to revisit an earlier one. Click any segment to learn what happens in that part of the lifecycle.

Click any segment to explore that domain

Select a domain on the wheel to see its description, key tasks, and who does this work.

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The complete analytics lifecycle

Each domain represents a distinct phase of analytics work. Together they form a connected, iterative system. Uncovering issues in a later domain often requires circling back to refine an earlier one.

This is not a one-way process. Work often loops back.

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Domain I

Business Problem (Question) Framing

Start with the right question

Any application of analytics must begin with a clear, concise statement describing the business problem, question, or opportunity, not a technical one. The goal is to ensure that analytics is being applied to solve the right challenge for the organization. Not every analytics initiative is sparked by a problem to fix or a question to answer, and many begin with an opportunity to explore. This domain is where many analytics initiatives fail before they begin: teams that skip problem framing often invest significant resources solving the wrong challenge with great precision. It is also the first structured communication checkpoint of the IAF, where stakeholders reach explicit agreement on the scope and direction before any analytics work begins.

Key tasks in this domain

  • Develop an initial problem or question statement and identify all stakeholders, sponsors, and beneficiaries
  • Determine whether the problem is genuinely amenable to an analytics solution
  • Build a business case including costs, expected benefits, and organizational effects
  • Secure full stakeholder agreement on the problem before any modeling work begins
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Who does this work: Management analysts, strategy consultants, operations research analysts, VP and Director of Analytics, Chief Data Officers

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