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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

Developing a Product Orientation for Analytics and AI

There is one primary reason why organizations need to adopt a product focus for analytics and AI: models simply don’t get implemented often enough. Data scientists often focus on model development, but the deployment process is much broader. There are multiple studies indicating that model deployment rates are low and improvements in deployment rates are necessary to improve the efficacy of analytics and AI projects.

Experts at IIA put together this eBook that provides a look at the steps and strategies to develop a robust product orientation for analytics and AI projects. The eBook covers:

  • Why a product orientation is necessary
  • The tasks involved in analytics and AI product management
  • A glimpse into a case study on product orientation at Regions Bank
  • The key prerequisites and capabilities to establishing a successful product orientation

Full clients of IIA also have access to a comprehensive research brief with actionable insights. Clients also have direct access to the experts, thought leaders, and practitioners that developed this framework.