Gartner Research

Developing Life Science R&D Analytics Capabilities Requires a Flexible COE Strategy

Published: 30 April 2014

ID: G00239019

Analyst(s): Michael Shanler


Life science R&D groups are under pressure to improve predictive capabilities, but they face unique challenges driven by scientific big data and organizational alignment. This research explores steps R&D IT leaders should take when planning an analytics strategy.

Table Of Contents
  • Impacts


Impacts and Recommendations

  • Most life science R&D leaders have difficulty determining where analytics applications can deliver the most value to the process, and fail to effectively predict the level of difficulty
  • The diverse needs and segmented organizational structure of life science R&D drive IT leaders to recognize the importance of having a COE strategy
  • Life science R&D leaders are challenged with making sense of large, multistructured and incredibly diverse data, which requires multiple analytics tools and skill sets

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