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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

Gina Papush

Global Chief Data and Analytics Officer

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Gina Papush is the Global Chief Data and Analytics Officer for Evernorth, a subsidiary of Cigna Corporation. She is responsible for driving data & analytic vision, strategic priorities and objectives across the enterprise. Gina and her team leverage data and advanced analytics, enabling data-driven decision making to deliver improved financial performance, operational and network efficiencies, better overall health care quality, and greater stakeholder engagement and satisfaction.

Gina has delivered significant business value over her 20+ year career through proven leadership and expertise in analytic innovation and data-driven strategies. She has successfully built leading decision analytics and information management capabilities across diverse industries and business models, delivering significant business results.

Prior to joining Cigna, Gina served as the Global Chief Data & Analytics Officer at QBE Insurance Group, where she oversaw development of big data and decision science capabilities, and held leadership positions in data and analytics within the financial services and consulting industries, including Citigroup, Fulcrum Analytics and GE Capital. Her experience includes leading data science, information management, customer and risk analytics; market research, and strategic business planning for retail and digital banking, consumer lending and credit, traditional and digital retail, health care, pharma, manufacturing and entertainment industries.

In addition to her corporate responsibilities, Gina is active in advising data analytics, AI and blockchain start-ups. She currently sits on the board of Honeysuckle Health. Gina holds an M.S. in Statistics from the University of Maryland, where she also completed her Ph.D. qualifications.