1<!DOCTYPE html>
2
3Anonymous
4/bestp
5/bestp/domrep.nsf
63F09FB21F3B83C4F85257D4800627C25
8
9
10
11
12
13
140
15
16
17/bestp/domrep.nsf/products/db-big-data-in-pharma-data-project-types-used-by-medical-commercial-heor-groups?opendocument
18
19opendocument
203.227.208.153
21
22
23www.best-in-class.com
24/bestp/domrep.nsf
25DB




Products & Services Market Research, Analytics and Forecasting Analytics

Big Data in Pharma: Data and Project Types Used by Medical, Commercial & HEOR Groups

ID: 5326


Features:

13 Info Graphics

23 Data Graphics

400+ Metrics


Pages/Slides: 42


Published: 2014


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: Data and Project Types Used by Medical, Commercial & HEOR Segments"


STUDY OVERVIEW

The growing influence of big data in the pharmaceutical sector is generating valuable insights for key medical, commercial and HEOR decisions. However, organizations often find it challenging to leverage big data due to the inherent costs and challenges associated with harnessing large sets of data in varied formats.

In order to fully explore the potential of big data, it is important for biopharmaceutical companies to identify the right type of data and projects to generate actionable insights. Best Practices, LLC utilized medical, commercial and HEOR segmented responses to investigate the types of data and big data projects utilized by best-in-class companies. The study offers key benchmarks around current and future trends for big data utilization.

This study provides Medical, Commercial and HEOR segmented responses on survey questions

KEY TOPICS

  • Executive Summary
  • Big Data Team Overview and Key Study Insights
  • Quantitative Key Findings
  • Defining Big Data
  • Data Types and Sources
  • Applications

SAMPLE KEY METRICS
  • Impact of transactional data sources
  • Impact of Reported/Survey data sources
  • Impact of Online data sources
  • Impact of Scientific/Clinical/Medical Data sources
  • Impact of machine-generated data sources
  • Types of Big Data projects used to support medical and commercial decisions
  • Preference and popularity of Big Data project application types

SAMPLE KEY FINDING
  • Post-launch studies around product use and health outcomes were the most common types of Big Data projects conducted by the medical segment.
  • For commercial, it was post-launch studies around product performance and customer segment.
  • The HEOR segment used post-launch studies around health outcomes.


METHODOLOGY

Best Practices, LLC engaged 22 analytics, marketing and HEOR leaders from 18 different companies through a benchmarking survey. Three companies had multiple responses - each representing a different functional area (medical, commercial, or HEOR).

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


Companies Profiled:
Merck; Merck Serono; Novartis; Boehringer Ingelheim; Genentech; Teva Pharmaceutical Industries Ltd; Pfizer; Baxter Healthcare; GlaxoSmithKline ; Bayer; Gilead Sciences; Janssen; Lundbeck; Sanofi; Esteve; Daiichi Sankyo; Purdue Pharma; AstraZeneca

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.