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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

Six Organizing Models for Analytics Teams

Companies that think strategically about analytics achieve the biggest impact from analytics. To realize the full potential that analytics offers, don’t overlook the importance of the way you organize your analytics team. Here are three key factors to consider:

  1. Analytics has the power to reshape how we do business in today’s data economy, moving away from the risks and unpredictability of operating on instinct, and toward data-driven decision-making.

  2. Businesses that recognize the power of analytics must coordinate, consolidate, or centralize analytics for success.

  3. Organizing for analytics makes it possible to develop analysts effectively and use analytics where it creates the most business value.

Download this free IIA eBook to gain unbiased insights about six organizational structures that might work for your analytics organizations, including functional analytics; centralized analytics; consulting analytics; analytics center of excellence; federated analytics; and decentralized analytics. Each model includes an org chart, strengths and weaknesses of that model, examples of who uses this model, and key considerations for implementing this model.

Full clients of IIA also have access to a comprehensive research brief with actionable insights on identifying and implementing the best organizing model for your analytics team. Clients also have direct access to the experts, thought leaders, and practitioners that developed this framework.