How Predictive Analytics Technologies Are Reshaping the Life Science Industry

How Predictive Analytics Technologies Are Reshaping the Life Science Industry

This IDC Perspective provides deep insight into the critical importance of predictive analytics technologies in fueling innovation and driving outcome-based informed decisions. It analyzes some of the key drivers and the challenges and complexities in implementing predictive analytics technologies and provides an insight into the market landscape, as well."Life science organizations are moving the needle from being 'data-hungry organizations' to 'data-driven organizations' that represent the 'intelligent enterprise of today,'" says Dr. Nimita Limaye, research VP, Life Sciences R&D Strategy and Technology at IDC. "IDC defines the future of intelligence as an organization's capacity to learn combined with its ability to synthesize the information it needs in order to learn and to apply the resulting insights at scale to gain a sustainable competitive advantage or an ability to fulfill the organizational mission. Therefore, the capability to effectively leverage predictive analytics will define 'the intelligent enterprise of the future' and will differentiate the leaders from the followers.

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Executive Snapshot
Situation Overview
What Is Predictive Analytics?
Key Drivers Accelerating the Adoption of Predictive Analytics
Use Cases for Predictive Analytics
The Challenges
Technology Players Providing Predictive Analytics Solutions Used in Life Sciences
Accenture
Capgemini
Clarify Health Solutions
Clarivate
Cognizant
Deloitte
HCL
Indegene
Infosys
IQVIA
JMP Genomics
Medidata
NVIDIA
Oracle
Saama
SAS
SAP
Tata Consultancy Services
Thread
Veeva
Wipro
ZS Associates
Advice for the Technology Buyer
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Related Research
Synopsis

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