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MD Anderson Cancer Center was suffering from the typical analytics challenges of a large healthcare enterprise, with a siloed data environment that had developed organically. Its solution was to implement FIRE, a step-change analytics program.


  • Two critical factors underpin the FIRE program: Firstly, it was never envisaged as a one-off project; secondly, its driving force is clinical leadership

Features and Benefits

  • Assesses MD Anderson Cancer Center's approach and implementation of enterprise-wide analytics and evaluates its impact
  • Identifies the key challenges experienced in a complex analytics deployment and the methods deployed to overcome them

Key questions answered

  • Why is taking an enterprise-wide approach to analytics important?
  • What governance and technology aspects are important in complex analytics projects?
  • What culture, teams, project management and technology are necessary in complex analytics projects?

Table of contents


  • Catalyst
  • Ovum view
  • Key messages

Recommendations for healthcare enterprises

  • Savvy healthcare organizations can benefit significantly from standardization, but it should enable rather than limit analytics innovation
  • Clinical leadership ensures enterprise-wide analytics is regarded as mission-critical rather than an “IT project”
  • Analytics programs are an opportunity for improving data governance: Address this early on
  • Take advantage of maturing next-generation healthcare analytics solutions, but be mindful of your capabilities and wider data needs

Essential factors and lessons learned

  • Essential factors
  • Lessons learnt

Analytics on FIRE: MD Anderson’s enterprise-wide program

  • Healthcare enterprise context
  • Step-change: Transitioning to an enterprise-wide analytics strategy and data environment

FIRE roadmap: Outcomes and next steps

  • Promising early benefits
  • Next steps


  • Methodology
  • Further reading
  • Author

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