Transforming talent planning for a $10.5B Zurich based workforce solutions leader

Discover How Draup’s Custom Skill Feeds Enhanced Talent Planning for a Swiss Workforce Leader

~25000

Employees

$10.5B

Revenue

HR Services

Industry

Zürich, Switzerland

Headquarters

About the organization

A leading global workforce solutions provider, the company supports enterprises across industries with staffing, recruitment, and managed talent services. Its current focus is on strengthening workforce planning and digital transformation through advanced analytics, automation, and skill intelligence.

The Core Challenges

Workforce Intelligence
To retrieve latest workforce intelligence and align it with business.
Market Signal Visibility
To build visibility into evolving market signals like hiring and attrition.
Faster Planning Cycles
To reduce research time and enable faster, data-backed workforce planning.

The Solution

Software Development Engineer
TALENT MARKET INSIGHTS
JOB POSTING TIMELINE
LOCATIONS
CORE SKILLS
JOB TITLES
The image is for representational purpose only.
01
Automated Ingestion
Configured, scheduled data uploads directly into the company’s analytics engine, removing manual ETL.
02
Skills Alignment
Mapped Draup’s proprietary taxonomy to the company’s internal skill framework for clarity.
03
On-Demand Intelligence
Provided instant access to live talent and competitor insights for faster, data-driven decisions.
04
On-Demand Intelligence
Provided instant access to live talent and competitor insights for faster, data-driven decisions.

Outcome

Accelerated Workforce Planning

Enabled faster, insight-driven decision-making across global teams.

Sharper Hiring Strategy

Improved targeting of high-priority roles and reduced time-to-fill.

Improved Go-to-Market Alignment

Empowered planners with real-time data to enhance proposal accuracy.

Future-Ready Intelligence

Established a scalable framework for ongoing skill and market tracking.
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​
AICPA SOC2 TYPE 2
SOC 2
GDPR Logo
GDPR
ISO 27001 Logo
ISO
EAIGG Logo
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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