Strengthening global EVP and CRA workforce strategy for a Fortune 2025 World’s Most Admired Company

Discover How Draup’s Talent Intelligence Strengthens Global EVP and Future-Proofs CRA Workforce Strategy for a $15B+ Healthcare Data Leader

~88000

Employees

$15.4B

Revenue

Healthcare

Industry

Durham, North Carolina

Headquarters

About the organization

A global leader in healthcare data, clinical research, and technology-enabled services, the company helps biopharma organizations advance medical innovation. To strengthen its workforce strategy, it partnered with Draup to benchmark its EVP, analyze global CRA talent pools, and identify key hotspots for long-term talent planning.

The Core Challenges

EVP Blind Spots
Benchmark EVP performance to understand strengths and gaps across global markets.
Untracked Talent Trends
Identify CRA talent supply, demand, and compensation trends to guide workforce planning.
Misaligned Growth and EVP
Strengthen alignment between career growth, EVP themes, and mobility strategies.

The Solution

Clinical Research Associate
PROFILE
LOCATION ANALYSIS
TALENT MARKET INSIGHTS
CAREER PATHS
DATA INTEGRATION
TECH STACK
The image is for representational purpose only.
01
Comprehensive EVP Benchmarking
Benchmarked the company’s EVP against top tech and clinical peers, highlighting strengths in culture and inclusion and gaps in career growth and work-life balance.
02
CRA Talent Intelligence & Market Mapping
Analyzed CRA talent across key markets, including a China deep dive, mapping competitors, supply trends, and rising regional demand.
03
Global Hotspot & Workforce Planning Optimization
Mapped global CRA supply–demand to identify surplus and high-demand regions, enabling more strategic location, mobility, and compensation decisions.
04
Strategic EVP Reinforcement Initiatives
Recommended actions to improve career pathways, flexibility, and well-being, strengthening the EVP narrative across clinical and technology roles.

Outcome

Strengthened Employer Brand Positioning

Established a unified, people-first EVP narrative, outperforming peers in Culture, Diversity, and Flexibility.

Predictive, Data-Driven Workforce Planning

CRA supply–demand analytics enabled teams to anticipate hiring needs and optimize global workforce allocation.

Global Hotspot & Workforce Planning Optimization

Mapped global CRA supply-demand to pinpoint surplus and high-demand regions, guiding strategic location, mobility, and compensation decisions.

Strategic EVP Reinforcement Initiatives

Recommended initiatives to enhance career growth, flexibility, and well-being, strengthening the EVP narrative across roles.
6,100+​
Locations
4M+​
Career Paths​
1.7M+​
Peer Group Companies​
28K+
Skills
3,500+​
Roles
1B+​
Professionals​
55K+​
Universities​
1B+​
Job Descriptions​
200K+​
Courses​
180K+​
Technology Solutions​
1.6M+​
Account Priorities​
Labor Market Data Contextualized with Business Intelligence for Every Decision

Analyzing 1B+ data points
daily from 100K+ sources

6,100+​
Locations
4M+​
Career Paths​
1.7M+​
Peer Group Companies​
28K+
Skills
3,500+​
Roles
1B+​
Professionals​
55K+​
Universities​
1B+​
Job Descriptions​
200K+​
Courses​
180K+​
Technology Solutions​
1.6M+​
Account Priorities​
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ISO
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EAIGG

Ethical AI, Backed by Global Standards

Draup, an AI-first company, upholds global standards like SOC 2, GDPR, and ISO 27001. As an EAIGG member, we audit for bias and build trustworthy AI.

Data Trust &
Methodology
at Draup

Draup uses a structured methodology to reduce inaccuracies and prevent misleading information, with a focus on transparency and responsible data practices.

Data Transparency and Coverage

Draup sources data from diverse, vetted global inputs including public datasets, labor information, professional ecosystems, and industry research. Coverage varies by region and role, and we supplement limited areas with alternative sources and analyst-led modeling.

Profiles Behind the Numbers

All aggregate insights related to buyers, roles, skills, and locations are grounded in structured, anonymized human and organizational profiles rather than pure extrapolation. This ensures context, reliability, and protection of personal identities.

Data Hygiene and Integrity

We maintain a clean, accurate data environment by removing duplicates, outdated entities, and invalid records. Automated checks powered by ML models and analyst reviews work together to ensure clarity and accuracy for every entity, such as buyer, role, skill, technology, or company.

AI Governance and Bias Mitigation

Our governance framework combines automated evaluations with Human-in-the-Loop reviews. We use statistical checks, audits, and cross-source comparisons to reduce demographic and structural bias before insights reach the platform.

Compensation Guardrails

Compensation insights use blended, directional inputs such as aggregated ranges, benchmarks, modeled distributions, and market signals. We distinguish clearly between modeled and reported data and apply guardrails to prevent over-interpretation.

Hourly and Frontline Workforce Coverage

For hourly, frontline, and blue-collar roles where digital visibility is limited, we incorporate government datasets, localized labor information, and specialized partners to build a more complete and balanced view of workforce supply and demand.

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