1<!DOCTYPE html>
2
3Anonymous
4/bestp
5/bestp/domrep.nsf
62E74F2D1BC6117D965257E0300422B8C
8
9
10
11
12
13
140
15
16
17/bestp/domrep.nsf/products/big-data-in-pharma-information-type-sources-for-big-data-utilization-across-the-health-outcomes-research-function
18
19
2054.90.86.231
21
22
23www.best-in-class.com
24/bestp/domrep.nsf
25DB




Products & Services Market Research, Analytics and Forecasting Analytics

Big Data in Pharma: Information Type & Sources for Big Data Utilization Across the Health Outcomes Research Function

ID: 5351


Features:

11 Info Graphics

10 Data Graphics

240+ Metrics

3 Narratives


Pages/Slides: 29


Published: 2015


Delivery Format: Online PDF Document


 

License Options:
close

Single User: Authorizes use by the person who places the order or for whom the order was placed.

Sitewide: Authorizes use of the report for a geographic site. All people at site can view the report for a year and copies can be printed.

Corporate: Authorizes use for the entire company for a year and copies can be printed. No limitations for usage inside the company.




Buy Now

 


  • STUDY OVERVIEW
  • BENCHMARK CLASS
  • SPECIAL OFFER
Non-members: Click here to review a complimentary excerpt from "Big Data in Pharma: Information Type & Sources for Big Data Utilization Across the Health Outcomes Research Function"

STUDY OVERVIEW

There is currently a great deal of optimism in the pharma industry about harnessing Big Data insights to inform the Health Economics and Outcomes Research (HEOR) function. However, one of the challenges faced by HEOR groups is ascertaining the data types and sources that provide the most value for this specialized function/group.

Best Practices, LLC undertook this study to better understand the growing influence of Big Data in the biopharmaceutical sector and how it impacts HEOR. The study offers segmented responses from HEOR participants regarding key benchmarks around what types of data companies are using most frequently as well as the data sources they find most useful. Additionally, the research presents metrics around what internal and external groups request and find the most value in Big Data presentations.


KEY TOPICS

Types and Value of Data Used for Big Data Projects
Value Rating of Partnerships on Big Data Projects
Most frequent requestors of Big Data studies

SAMPLE KEY METRICS

  • Value of listed types of transactional data sources
  • Value of listed types of reported/survey data sources
  • Value of listed types of online data sources
  • Value of listed types of scientific/clinical data sources
  • Value of listed types of machine-generated data
  • Value of listed types of data producers
  • The most impacted target audiences for data analysis
  • Most common ways for disseminating real world data analysis
  • Most common requestors of data analysis

SAMPLE KEY FINDING

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

METHODOLOGY

Best Practices, LLC engaged 15 leaders from 13 pharmaceutical companies through a benchmarking survey to discuss how their companies approach Big Data utilization within HEOR. Executive interviews were also conducted.

Industries Profiled:
Pharmaceutical; Manufacturing; Biotech; Consumer Products; Diagnostic; Medical Device; Chemical; Health Care; Biopharmaceutical; Clinical Research; Laboratories


Companies Profiled:
AstraZeneca; Baxter BioScience; Bayer; GlaxoSmithKline ; Genentech; Esteve; Lundbeck; Merck Serono; Merck; Pfizer; Sanofi; Teva Pharmaceutical Industries Ltd; Novartis


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.