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  • Services Overview

    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

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    • 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

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      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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IIA Roundtable: Change Management and AI

In this roundtable discussion, data and analytics leaders discuss their approach to change management as they navigate the promise—and hype—of enterprise AI.

Key questions include:

  • Does your company have a formalized and communicated data and analytics strategy?
  • Does your current implementation of data and AI strategies include a specific work stream, funding, etc., for change management?
  • Do you have a formalized measurement program (e.g., OKRs, KPIs, etc.) around your data and AI strategies?
  • How are projects prioritized and approved in your organization (e.g. business unit, region, or central)? Who makes those decisions?
  • Which team members and senior executives have compensation directly tied to the success of enterprise data and AI strategies?
  • Do you feel your company’s overall strategy and culture is aligned with its data and AI strategy? Whose job is it to set and maintain a company’s culture related to data and AI?

Moderated by Cameron Davies, Chief Data Officer, Yum! Brands

Cameron Davies is the chief data officer for Yum! Brands, the world’s largest restaurant company, hosting such iconic brands as KFC, Taco Bell, Pizza Hut, and The Habit Burger. At Yum! Cameron is responsible for leading the corporate data and analytics strategy and championing the development and adoption of advanced data capabilities as Yum! Transforms into a premier digital brand.

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.