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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

Analytics Application Lifecycle Framework

An analytical application combines data and computationally-intensive logic to produce a mechanism for predicting future states, or prescribing actions in the present, that are demonstrably valuable to a business beneficiary. An analytical application lifecycle model is a framework for analytics organizations to engage relevant internal partners in stage-appropriate discussions in order to accelerate the delivery of value-bearing analytical applications to business constituencies.

Download this free IIA eBook for step-by-step insight into the seven stages of an effective framework for developing an analytics application lifecycle, including:

  • Ideation

  • Experimentation

  • Proof of Concept

  • Pilot

  • Commitment

  • Production

  • End of Life

This IIA eBook reveals a framework for determining specific activities that should occur at each state of the analytics application lifecycle; identifying the decision makers who should influence decisions at that particular stage; and evaluating how constituents can progress from completion of a stage in the lifecycle to the next stage.

Full clients of IIA also have access to a comprehensive and actionable research brief on the Analytics Application Lifecycle Framework as well direct access to the experts, thought leaders and practitioners that developed this research.