Driving Competitive Intelligence Excellence With AI & Analytics

STUDY OVERVIEW
BENCHMARK CLASS
STUDY SNAPSHOT
KEY FINDINGS
VIEW TOC AND LIST OF EXHIBITS

Competitive Intelligence (CI) functions are rapidly evolving as organizations seek to enhance their data gathering and decision-making processes through the integration of advanced analytics and artificial intelligence (AI/ML) tools. Despite significant potential, the adoption and operationalization of these capabilities remains uneven, often constrained by resource limitations and organizational alignment challenges.

This updated report from Best Practices, LLC examines how CI teams navigate these barriers to strengthen their strategic value and operational efficiency. By exploring the strengths and weaknesses of various CI structural models, this research identifies hallmarks of analytics and AI/ML maturity in CI functions, benchmarks key performance metrics, and evaluates study types best suited for advanced analytics or AI/ML supplementation.

This updated version expands on the integration of advanced analytics and AI/ML in CI, offering fresh insights into a period of rapid transition and growth for innovative biopharma organizations.

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

Study Snapshot

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.

Key topics covered in this report include:

Evolving CI Group Structures and Key Maturity Drivers
Budget Alignment and Coordination for CI Initiatives
Leveraging CI Centers of Excellence (CoE)
Building Effective CI Teams: Staff Size, Expertise, and Skills
CI Activity Priorities and Stakeholders
Unlocking the Potential of Advanced Analytics and AI/ML in Competitive Intelligence

Key Findings

Select key insights uncovered from this report are noted below. Detailed findings are available in the full report.

Structural Focus: Organizations are moving away from informal and regionally decentralized CI structures toward hybrid models, with most expecting this shift within the next 24 months.

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.

Table of Contents

Sr. No.	Topic	Slide No.
I.	Benchmark Class	Pg. 3
II.	Key Findings and Takeaways	Pg. 4
III.	CI Models, Reporting, Performance, and Structure Trends	Pg. 8
IV.	CI Staffing, Activities, and Critical Training Needs	Pg. 19
V.	AI Snapshots: The Accelerating Use of AI Tools Transforming CI Organizations	Pg. 31
VI.	Participant Demographics	Pg. 35
VII.	About Best Practices, LLC	Pg. 38

List of Charts & Exhibits

I. Benchmark Class and Key Takeaways

Benchmark study partners
Business issue, key insights, and recommendations
Shift in CI structures and operating model (2001–2024): A longitudinal view
Analytical expertise of benchmark study partners

II. CI Models, Reporting, Performance, and Structure Trends

Current operating model for the CI function
Planned operating model for the CI function within the next 24 months
Comparing the current and future CI operating models
Reasons for evolution in CI operating models
Hallmarks of maturity of the Competitive Intelligence function
Goals for utilizing advanced tools such as AI and machine learning in CI
Budget coordination of the Competitive Intelligence function
Mapping the Center of Excellence (CoE) in the organizational framework

III. CI Staffing, Activities, and Critical Training Needs

Total FTEs in the CI function for the most recent fiscal year
Primary stakeholders of the Competitive Intelligence function
Strategic practices that enhance stakeholder value in Competitive Intelligence
Internal branding campaigns to reshape the perception of the CI function
Key objectives of the CI internal branding program and their importance
Core activities undertaken by the CI function
Prioritizing CI activities for maximum efficiency
Comparison of conducted activities and their importance rankings
Analytic methodologies used by the CI group and their operational purposes
Essential soft skills and professional experiences for CI Professionals

IV. AI Snapshots: The Accelerating Use of AI Tools Transforming CI Organizations

AI applications and effectiveness in Competitive Intelligence
Challenges and gaps in AI implementation for CI
Voices from the field: AI impact and experiences in Competitive Intelligence

V. Participant Demographics

Geographic span of responsibility of the CI functions represented by benchmark partners
Primary therapeutic areas supported by benchmark CI functions

Utilizing Advanced Analytics and AI/ML for Competitive Intelligence Excellence

ID: PSM-394

Features:

Pages: 38

Published: 2024

Delivery Format: Shipped

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