Driving internal mobility and workforce agility for the biggest telecom company in the UK

Discover How Draup Helps a UK-Based Telecom Giant Align Skills and Unlock Growth

~105000

Employees

$27.54B

Revenue

Telecommunications

Industry

London, U.K.

Headquarters

About the organization

This UK-based telecommunications leader serves millions worldwide through advanced network and digital services. The company is focused on fostering internal mobility, aligning skills with evolving business needs, and building a future-ready organization powered by continuous learning and career growth.

The Core Challenges

Unstructured Internal Mobility
To enable data-driven internal mobility by mapping career pathways across functions and geographies.
Unmapped Skill Adjacencies
To build a skill-based framework identifying adjacencies, emerging roles, and development opportunities.
Reactive Workforce Planning
To support strategic workforce planning through continuous visibility into evolving skill requirements.

The Solution

Network Analyst
PATH EXPLORER
PATH EXPLORER
CURRENT SKILLSET
CURRENT SKILLSET
ADJACENT SKILLS
ADJACENT SKILLS
SKILLS INTELLIGENCE
SKILLS INTELLIGENCE
RESKILLING PROPENSITY INDEX
The image is for representational purpose only.
01
Skill-Based Pathways
Built customized, skill-based career trajectories aligning individual growth, business priorities and financials with enterprise goals.
02
Real-Time Insights
Integrated Draup’s intelligence into the company’s SharePoint career portal for instant visibility into role transitions and learning needs.
03
Data-Driven L&D Prioritization
Identified obsolete versus in-demand skills, enabling L&D teams to focus investments on future-critical capabilities.
04
Enterprise-Wide Adoption
Scaled the framework across business units and geographies, embedding mobility workflows into standard hiring and HR processes for sustained adoption.

Outcome

Empowered Employees

Enabled personalized, skill-based career navigation, boosting engagement and internal mobility.

Future-Ready Workforce

Delivered actionable insights to L&D and HR teams for targeted upskilling and reskilling initiatives.

Enhanced Workforce Agility

Supported proactive talent redeployment and strategic alignment with transformation goals.

Data-Driven Mobility Framework

Established a scalable foundation for continuous workforce evolution and capability 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
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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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