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Products & Services Market Research, Analytics and Forecasting Analytics

Big Data in Pharma: Information Types and Sources for Big Data Utilization Across Medical Affairs Functions

ID: 5347


Features:

12 Info Graphics

10 Data Graphics

200+ Metrics

2 Narratives


Pages/Slides: 29


Published: 2015


Delivery Format: Online PDF Document


 

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  • STUDY OVERVIEW
  • BENCHMARK CLASS
  • SPECIAL OFFER
Non-members: Click here to review a complimentary excerpt from "Big Data in Pharma: Information Types and Sources for Big Data Utilization Across Medical Affairs Functions"

STUDY OVERVIEW

The rapid evolution of Big Data is generating greater insights for key medical decisions within the biopharmaceutical industry. However, organizations often find it challenging to leverage Big Data due to the inherent costs and other challenges associated with harnessing large sets of data in varied formats.

Identifying the most useful types and sources of data is an important initial step to realizing the huge potential that Big Data holds for pharma. Best Practices, LLC undertook this study to better understand the growing influence of Big Data in the biopharmaceutical sector and how it impacts medical operations in the U.S. The study offers segmented responses from medical affairs participants regarding key benchmarks around what types of data companies are using most frequently as well as the data sources they find most useful. Also, the research presents metrics around what internal and external groups request and find the most value in Big Data presentations.

KEY TOPICS

Defining Big Data
Data Types and Sources
Data Producers, Dissemination & Requestors

SAMPLE KEY METRICS

Impact of listed types of transactional data sources
Impact of listed types of reported/survey data sources
Impact of listed types of online data sources
Impact of listed types of scientific/clinical data sources
Impact of listed types of machine-generated data
Impact of listed types of data producers
Impact of listed types of data dissemination channels
Impact of listed types of data dissemination targets
Most common requestors of data analysis

SAMPLE KEY FINDING

  • Majority Partners Rate Internal Groups as Most Impactful Targets for Data Analysis: Internal Commercial, Medical and Development functions were rated by a majority respondents as the most impactful targets for data analysis presentations. A majority of participants also said these internal groups were also the most frequent requestors of presentations.

METHODOLOGY

Best Practices, LLC engaged 12 leaders from 11 pharmaceutical companies through a benchmarking survey in regards to Big Data usage in Medical Affairs. Research analysts also conducted seven deep-dive executive interviews with selected benchmark participants.

Industries Profiled:
Pharmaceutical; Manufacturing; Biotech; Consumer Products; Diagnostic; Medical Device; Chemical; Health Care


Companies Profiled:
AstraZeneca; Bayer; Boehringer Ingelheim; Esteve; Gilead Sciences; Janssen; Genentech/Roche; Lundbeck; Merck; Novartis; Pfizer


If you purchase Best Practice Database document(s), you will have 30 days from the date of purchase to apply some or all of the cost of the document(s) toward the cost of a Full Access Individual, Pharma, Group or University Membership. Write us at DatabaseTeam@bestpracticesllc.com or call David Guinn at 919-767-9179 if you have any questions.