Skip to content
  • 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

Dimensions of a Data-Driven Culture

In non-data-driven businesses, data may play a role in decision-making, but it doesn’t drive decisions. In contrast, data-driven businesses let data guide decisions, outcomes and strategies, even when the data goes against inclination and time-honored assumptions.

This eBook provides an overview of IIA's Data-Driven Culture Framework, including descriptions of seven key dimensions for organizing, growing and maintaining a world-class data-driven culture:

  1. Cultural Norms: Make sure a data-driven decision making is core to all behaviors
  2. Personal Orientation: Don’t let decision traps prevent your data-driven decision making
  3. Technology Enablement: Create infrastructural preconditions by setting a "data tone" for your company
  4. Decision-Making Skills: People make decisions about data, and effective decisions require training, mentorship and assessment tools
  5. Leadership Behavior: Local leaders must be continually and explicitly supportive of data-driven decision-making behaviors
  6. Peer Behavior: Improvements in data-drive decision-making driven by peer norms will accelerate your transformation
  7. Human Capital: The company’s commitment to data-driven decision-making should be clearly visible in every phase of the employee life cycle.

Download this free eBook now to get access to these insights. Full clients of IIA also have access to the detailed framework and a comprehensive research brief with actionable insights about enabling your company’s transformation to a data-driven culture. In addition, clients have personal access to the data analytics experts that developed the framework and have successfully implemented it in their businesses.