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    Offerings designed to help companies make the transition to data-driven decision making, advanced analytics and AI

  • Expertise Overview

    IIA help clients build capabilities across seven areas critical to building a successful and effective enterprise analytics capability

    • Organization

      Organization models, talent, analytics skills, roles & responsibilities, funding models, etc.

    • Culture

      Analytics maturity, information economies, leadership, decision-making skills, ethics, etc.

    • Process, Methods & Practices

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    • Plans & Programs

      Developing an analytics strategy, building an analytics program, measurement, communication, etc.

    • Demand Management

      Business alignment, operationalization, requirements definition, prioritization, ROI, metrics, etc.

    • Data

      Data strategy, data management, data governance, access, privacy, data engineering, etc.

    • Tools & Technology

      Analytics platform strategy, analytics application lifecycle, Cloud, Dev Ops, tool selection, etc.

  • Resources Overview

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      Actionable resources to accelerate your analytics journey.

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      Regularly scheduled, in depth presentations on topics that matter from IIA executives, experts and thought leaders

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    Content designed to share trends, challenges, insights and best practices from our work with clients in the broader analytics community

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    • Roundtables & Webinars

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  • Company Overview

    Over a decade of experience delivering unbiased research, advisory and assessment services designed to accelerate analytics performance

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Bridging Traditional Analytics with AI: A Practical Guide

This guide outlines how to bridge core analytics disciplines with emerging AI capabilities, focusing on clear problem definition, solution selection, and measurable value. It walks through practical frameworks leaders can use to prioritize use cases, align on ROI, and ground AI efforts in strong data and organizational foundations.

This guide helps leaders cut through the noise and connect the proven strengths of traditional analytics with the rapidly expanding capabilities of AI. It lays out a practical, problem-first approach to framing business needs, selecting the right techniques, and grounding innovation in solid data, governance, and operational foundations.

You’ll find clear frameworks for defining and prioritizing use cases, evaluating ROI, and matching problems to the appropriate form of AI, whether that be automation, predictive modeling, generative systems, or agentic approaches. It’s built to help teams move with confidence, focus on real value, and make AI work in ways that last.