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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

Data

Easily findable and accessible data that is available on a timely basis with accurate metadata about data quality and data engineering is an essential precondition for widespread adoption of advanced analytics.

Data – from inside and outside the organization, clean and dirty, arriving fast and slow, highly engineered and in raw form – is the raw material of advanced analytics programs. The platforms, pipelines, and supply chains that deliver data to the people and applications that make use of it are more complex than ever before. Furthermore, the tools, techniques, models, and disciplines surrounding what was previously called “data management” are also more complex than they were in the 1990s and early 2000s.

In modern analytical environments, accessibility, quality, and timeliness of data are at a premium and many organizations find themselves managing a clash of data cultures, which requires a retooling of models and a shift from data-as-an-asset to data-as-raw-material.

IIA guides clients as they wrestle with data-based challenges associated with scaling advanced analytics programs. Common topics include data strategy, data availability, data quality, techniques for data engineering, data governance, data warehouse strategies for modern analytics platforms, privacy, and ethical considerations.