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STUDY OVERVIEW The 21st century has seen an explosion in the availability of all types of data, including healthcare, social media and transactional information. Together, these and other types of large and complex data sets have come to be known as Big Data. Many in the pharmaceutical sector have begun to leverage these new sources and tools to generate deeper insights and to speed up their decision-making in a competitive market. Among the many challenges facing pharma as the sector strives to develop Big Data capabilities are which functions lead and utilize Big Data, what governance system or policies should be in place, what data capabilities will need to grow, and what type of organizations are best to partner with on projects. Best Practices, LLC undertook this study to probe these questions and current trends in the pharmaceutical sector around Big Data and the issues of governance, data capabilities and partnerships. This study provides Medical, Commercial and HEOR segmented responses on survey questions KEY TOPICS
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.
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