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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

    • Topic Hubs

      IIA’s best resources and expert insights on a specific analytics challenge—all in one place.

    • Tools, Templates, and Guides

      Actionable resources to accelerate your analytics journey.

    • Roundtables & Webinars

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

  • 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

  • Contact

Michael Golub

Senior Director, Data Science, Merck

Talk to Michael about AI ethics and compliance, responsible AI frameworks, data science community building, and more.

Michael Golub is a senior director of data science specializing in AI ethics and compliance. He leads enterprise-wide initiatives to embed responsible AI (RAI) principles into the development and deployment of AI systems, with a focus on transparency, accountability, and risk mitigation. As a practicing data scientist and community builder, Golub spearheads the RAI Champions Network, drives AI policy alignment across global markets, and regularly advises on the ethical use of predictive, generative, and agentic AI technologies. His work bridges technical innovation with regulatory foresight, helping organizations scale AI responsibly and sustainably.