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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

  • Contact

Building a Modern Data Community

For decades, all organizations operated within a data and analytics monolith. Delivery of data and analytics (or business intelligence) came from IT with underwhelming results due to complex infrastructures, delays, minimal UX, and lack of skills, to name a few barriers. But for organizations adopting a truly data-driven culture, we’re seeing a significant shift in the production and consumption of analytics across the enterprise. This decentralization of data enables agility, ownership, and speed to analytical insights – and more tightly aligns the D&A function with business objectives.

In this session, Kathy Koontz, former Director of IIA’s Analytics Leadership Consortium and currently an Analytics Platform Strategist at AWS, explored how to build a decentralized, modern data community across the whole data-value chain, including collecting, storing, discovering, and consuming data. Through the lens of a modern data community, Koontz examined the roles for IT, data producers and data consumers in creating an agile, scalable way to put your data and analytics to work.