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» Products & Services » » Competitive and Business Intelligence » Resource/ Budget

Strategic Operations in Competitive Intelligence: Staffing, Activities, Training, and AI Implementation

ID: 5783


Features:

5 Info Graphics

16 Data Graphics

230+ Metrics


Pages/Slides: 28


Published: 2023


Delivery Format: Online PDF Document


 

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  • STUDY OVERVIEW
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Non-members: Click here to review a complimentary excerpt from “Strategic Operations in Competitive Intelligence: Staffing, Activities, Training, and AI Implementation”

STUDY OVERVIEW

Amidst the dynamic biopharma landscape, a resilient Competitive Intelligence (CI) function is the linchpin for organizational success. Forward-thinking companies are optimizing resources and harnessing advanced technologies to steer their strategic course effectively and mitigate market risks.

This research probes the biopharma Competitive Intelligence landscape, providing actionable insights to empower your organization's CI function. It establishes critical benchmarks around staffing, key activities, training needs, and the strategic implementation of artificial intelligence within the realm of CI.

KEY TOPICS

  • Competitive Intelligence Staffing Levels
  • Key CI Stakeholders
  • Key Activities
  • Leadership Experience
  • Soft Skills and Training
  • AI Implementation and Gaps

KEY METRICS

  • Estimate the total number of FTEs in the CI function in the most recent fiscal year
  • Who are the key stakeholders for the CI function?
  • Which of the listed CI activities does the CI function conduct at large and small companies?
  • What qualifications do the current leaders of benchmark CI functions possess?
  • What are the most effective soft skills and training topics for the development of a strong CI staff at large and small organizations?
  • How is CI training optimized at benchmark organizations?
  • How often is CI staff trained on CI guidelines within benchmark companies?
  • What kind of training is provided to CI staff at benchmark companies?
  • What is the current use of artificial intelligence by benchmark CI groups?
  • Is there any aspect of AI involvement that is not working?

SAMPLE KEY FINDINGS

  • New Generative AI Tools Enhance Data Gathering: With the rise of generative AI, CI professionals have seen a shift in required skills. While analytical abilities remain crucial—with only about a third of organizations rating their staff as excellent in data analysis—the use of AI has improved the ability to identify valuable insights within large data sets. CI experts must improve their analysis skills to maximize the potential of AI, which is still underutilized in half of the CI organizations. More progressive companies are exploring how AI can aid in drug discovery and provide early warnings."

METHODOLOGY

Best Practices, LLC engaged Competitive Intelligence leaders from 22 Life Science companies in this study to uncover insights and lessons learned regarding their evolving CI operations.

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


Companies Profiled:
Abbott; AbbVie; Bayer; BioMarin; Biotest AG; Cerevel Therapeutics; Clovis Oncology; CSL Behring; Daiichi Sankyo; Genentech; Ipsen; Kala Pharmaceuticals; Inc.; Novartis; Novo Nordisk; Paratek Pharmaceuticals; Pfizer; Regeneron; SCIEX; Sanofi; Servier; Takeda Pharmaceuticals; Vincerx Pharma

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.