INFORMS Analytics Framework

Your Roadmap to Analytics Success!

The INFORMS Analytics Framework details specific analytics roles, responsibilities and tasks essential for successfully applying analytics to problems, questions, and opportunities enabling impactful business, research, medical, and other decisions. Developed by INFORMS with input from the analytics community, the framework establishes best practices for analytics success.

✅ Proven Methodology
The framework mirrors the full analytics lifecycle.

✅ Strategic Insights
Use the framework to benchmark your practices and identify actionable steps toward analytics excellence.

✅ Actionable Guidance from Experts
Created by INFORMS with analytics leaders and practitioners, with additional input from the analytics community, this framework establishes best practices for analytics.

Download the INFORMS Analytics Framework

The INFORMS Analytics Framework is an essential guide and proven structure by which analytics can be applied to business or organizational questions, problems, and challenges.

The Certified Analytics Professional (CAP^®) exam blueprints indicate how each level’s testing objectives are based on each element of the INFORMS Analytics Framework.

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Take the next step toward analytics maturity and organizational success.

Whether you're leading a transformation or refining your analytics strategy, this framework provides the structure and clarity you need to drive measurable impact.

FRAMEWORK DEFINITION:

The INFORMS Analytics Framework was created by experienced Certified Analytics Professionals (CAPs) from diverse industries including government, military, consulting, and academia serving as subject matter experts. Using a detailed job task analysis methodology, they defined core sets of activities related to each domain.

The Seven Domains of Analytics Covered in the INFORMS Analytics Framework

Domain I: Business Problem (Question) Framing

Domain II: Analytics Problem Framing

Domain III: Data

Domain IV: Methodology (Approach) Framing

Domain V: Analytics/Model Development

Domain VI: Deployment

Domain VII: Analytics Solution Lifecycle Management

OUTCOME:

The result is a comprehensive framework and structure for all considerations during an analytics approach from initial business problem framing through data collection, model development, deployment, and maintenance. This framework represents best practices for achieving success in the application of analytics to address important business problems and informed decisions. It helps identify areas that need more attention to ensure analytics are effectively applied to key challenges and opportunities.

SIGNIFICANCE:

The framework is not meant to be a project checklist. It is a valuable structure that can be used in different contexts. Some examples are:

Hiring Managers and HR Professionals can use the listed skills for screening and interviewing candidates for analytics roles.
Academic Institutions can build curricula to cover essential skills and abilities, ensuring students are well-rounded and prepared practitioners for the full analytics lifecycle.
Organizational stakeholders involved in analytics activities can be educated to ensure teamwork, common understanding, and application success, even for those outside core analytics.