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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

      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

  • Community Overview

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

    • Blog

      Timely, relevant perspectives from IIA leaders and experts based on our experience with clients and unique market perspective

    • Podcast

      Informative and engaging discussions with successful analytics executives from leading companies

    • Events

      Virtual and in person Symposiums with practitioner-driven agendas, collaboration and peer-to-peer networking

    • 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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Driving Business Value with an Explicit Analytics and AI Strategy

Analytics and AI are booming in organizations, but many companies are not yet realizing strategic value from their projects and investments. One key reason for this lack of strategic value is the absence of an analytics and AI strategy in many firms. In fact, according to a recent survey of senior data and analytics executives in large, sophisticated firms, only 30% of the respondents said they had a well-articulated data or analytics strategy for their organizations.

In this interactive session, Tom Davenport interviews Abhi Seth (VP, Data & Analytics, TE Connectivity) and Bill Groves (Strategic Advisor, Former Chief Data & Analytics Officer, Walmart), both of whom have extensive experience in creating and implementing an analytics and AI strategy for multinational organizations. Seth and Groves discussed key objectives, processes, and components of an effective analytics and AI strategy – from matching technologies to business problems to the art and science of change management. While an implicit strategy is better than none, an explicit analytics strategy that is both thorough and developed collaboratively will engage the business and provide direction to executives and employees.