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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

      Analytics techniques, artificial intelligence, business intelligence, agile, visualization, storytelling, UX design, etc.

    • 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

    Example insights, frameworks and best practices derived from IIA’s experience working directly with clients

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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

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

  • Company Overview

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

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AI Maturity: Defining, Measuring, and Prioritizing Enterprise Initiatives

In this roundtable discussion, data and analytics leaders share AI maturity frameworks and challenges in measuring the impact and progress of AI efforts for both data consumers and producers.

Discussion questions include:

  1. What frameworks are most effective for assessing AI maturity in your organization, and how do they facilitate progress?
  2. How has your organization approached defining AI maturity and the competencies underpinning advanced analytics and AI adoption at the enterprise level?
  3. How do you align the supply-side competencies like data science and AI techniques with demand-side business objectives?
  4. What are the main challenges in measuring the impact of AI and analytics capabilities on business outcomes?
  5. What strategies have proven successful in identifying and prioritizing the necessary skills and infrastructure improvements for advancing AI efforts?

IIA virtual roundtables are exclusive, invite-only discussions designed to promote peer-to-peer exchange on pressing challenges in the data and analytics community. Seats are limited and reserved for C-suite data and analytics leaders or equivalent at mid- to large-sized enterprises. Conversations are geared toward non-digital native companies. If you meet these criteria, RSVP and we’ll be in touch.