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20 Best Practices
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However, the biopharmaceutical industry has taken a long time to embrace big data due to the inherent costs and other challenges that come with harnessing large sets of information in varied formats.
Recognizing the huge potential that big data holds for strategic commercial decisions, biopharmaceutical companies are taking steps to develop greater big data capabilities. Best Practices, LLC undertook this study to probe current & future trends, winning strategies and best practices for Big Data utilization across the commercial function.
The study offers benchmarks around the most useful data types and sources for key commercial decisions; governance policies and leadership; and the most impactful data producers, dissemination channels and targets.
Most Have Centralized or Dedicated Big Data Team or Function: 40% of the study participants said they have a centralized/dedicated Big Data group.
§ Universe of Learning pp. 5-6
§ Big Data Team Overview and Key Study Insights pp. 7-8
§ Quantitative Key Findings pp. 9-12
II. Defining Big Data pp. 13-20
III. Data Types and Sources pp. 21-26
IV. Data Producers, Dissemination & Requestors pp. 27-31
V. Centralization pp. 32-34
VI. Governance and Leadership pp. 35-51