CI Excellence: Structure, Budget & AI Integration

STUDY OVERVIEW
BENCHMARK CLASS
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Non-members: Click here to review a complimentary excerpt from “Utilizing Advanced Analytics and AI for Competitive Intelligence Excellence: Structure, Budget, and AI Implementation”

STUDY OVERVIEW

As the biopharma landscape evolves, the need for robust Competitive Intelligence (CI) functions has never been greater. To stay ahead, organizations must ensure their CI structures are optimized and strategically aligned to drive value through advanced analytics and AI/ML tools.

This study examines evolving CI operating models, budget alignment strategies, and the role of Centers of Excellence (CoE) in driving impact. It also explores how advanced analytics and AI tools are being implemented to streamline processes and enhance CI performance, offering a roadmap for teams to achieve greater efficiency and impact.

KEY TOPICS

Evolving CI Operating Models and Key Maturity Drivers
Budget Alignment and Leveraging Centers of Excellence (CoE)
Unlocking the Potential of Advanced Analytics and AI in Competitive Intelligence

KEY METRICS

Shift in CI structures and operating model (2001–2024)
Current and planned (within the next 24 months) operating models for CI functions
Evolving CI operating models from present to future
Key indicators of CI function maturity
Goals for leveraging AI and machine learning in CI
CI budget sourcing at biopharma organizations
Placement of the Center of Excellence (CoE) within the CI organization
Expertise level of benchmark study partners with digital tools and analytics
Current use and impact of AI in CI operations
Challenges and gaps in AI implementation for CI

SAMPLE KEY FINDINGS

Role of Advanced Analytics and AI/ML: Analytics in CI are primarily used to inform commercial and business strategies, but adoption of AI/ML remains nascent, with most organizations in early implementation stages and many systems still requiring human intervention.

METHODOLOGY

Best Practices, LLC engaged 24 Competitive Intelligence and AI experts from 22 leading biopharma organizations in this latest benchmarking research. This study also features a comparative analysis of previous benchmarking studies, uncovering evolutionary insights to drive the future of the CI function.

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

Companies Profiled:
AbbVie; Abbott; Alkermes; Bayer; BIAL; Biogen; Biotest AG; BlueRock Therapeutics; CooperSurgical; Grifols; Jazz Pharmaceuticals; Johnson & Johnson; Paratek�Pharmaceuticals; Pierre Fabre; Sanofi; SCIEX; Scilex Pharmaceuticals; Inc.; Servier; Syndax Pharmaceuticals; Taiho Oncology; Vir Biotechnology; Ventus Therapeutics

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.

Utilizing Advanced Analytics and AI for Competitive Intelligence Excellence: Structure, Budget, and AI Implementation

ID: 5843

Features:

Pages/Slides: 26

Published: 2024

Delivery Format: Online PDF Document

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