Pharmco: Becoming a Data Science-Driven Company
Name
MIT_CISRwp435_Pharmco_RossMoloneyBeath.pdf
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638.83 KB
Format
Adobe PDF
Checksum (MD5)
350eaeef180ee14f5861e7d02c2e179b
Author(s)
Ross, Jeanne W.
Moloney, Kate
Beath, Cynthia M.
Date Issued
February 21, 2019
Publisher
Cambridge, Mass.: Center for Information Systems Research, Sloan School of Management, Massachusetts Institute of Technology
Citation
Ross, Jeanne W., Kate Moloney, and Cynthia M. Beath. “Pharmco: Becoming a Data Science-Driven Company.” Working paper 435, Center for Information Systems Research, Sloan School of Management, Massachusetts Institute of Technology, 2019. https://dspace.mit.edu/handle/1721.1/175387.
Series/Report no.
MIT Sloan School of Management Working Paper 6764-19
CISR Working Paper 435
Abstract
In the mid-2010s, Pharmco, an anonymized pharmaceutical company, identified data science and artificial intelligence as an important tool for achieving its objective of helping people live healthier lives. But the company needed to invest heavily and commit to long-term development of a data science capability. Pharmco began to generate measurable benefits from its efforts, although it was early in the company s journey. This case study describes key milestones in Pharmco s development and use of data science and artificial intelligence.
Subjects
Designed for Digital
Information Technologies
Cognitive Computing
Data Management, Analytics, and Use
IT-based Business Transformation
Terms of Use
© Authors. All Rights Reserved. No additional permission needed for educational uses.
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