Workforce strategy for a Dublin based IT services leader

Discover How Draup Transformed Workforce Planning and Skills Benchmarking

~801000

Employees

$64.9B

Revenue

Professional IT Services

Industry

Dublin, Ireland

Headquarters

About the organization

A $64.9B professional services powerhouse, the company specializes in digital, technology, and consulting. With 800K+ employees, it leads the industry in delivering strategy, cloud, and operations solutions to clients worldwide across sectors.

The Core Challenges

Digital Skill Foresight
Anticipate demand for emerging digital and technology skills.
Market Visibility
Benchmark workforce strategies against global peers.
Framework for Skills
Replace outdated skills taxonomy with a future-ready framework.

The Solution

Machine Learning Operations Engineer
PROFILE
LOCATION ANALYSIS
TALENT MARKET INSIGHTS
CAREER PATHS
DATA INTEGRATION
TECH STACK
The image is for representational purpose only.
01
Workforce Intelligence Planning
Mapped growth trajectories, demand-supply trends, and future-ready skills to guide workforce strategy.
02
Peer Intelligence Benchmarking
Delivered actionable insights into competitor practices, talent pools, and cost-benefit models across key locations.
03
Industry-Aligned Skill Mapping
Connected existing skills to Draup’s future-ready skills library, enabling prioritization of high-demand and niche roles.
04
Seamless Data Integration
Leveraged Draup’s robust data infrastructure and APIs for advanced analytics and planning.

Outcome

Strategic Talent Decisions

Clear roadmap for emerging skill investments and phasing out obsolete roles.

Enhanced Competitiveness

Benchmarked peers to refine organizational design, location choices, and workforce efficiency.

Future-Ready Workforce

Transitioned to a modern, market-aligned skills framework supporting agility and growth.
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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