Big Data in Pharma: Data & Project Types By Medical & HEOR Groups

STUDY OVERVIEW
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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.

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

ID: 5326

Features:

Pages/Slides: 42

Published: Pre-2019

Delivery Format: Online PDF Document

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