Regional workforce intelligence

Regional workforce intelligence

Map workforce skills, functions, and growth by region to guide strategy, GTM, and foresight.

Map workforce skills, functions, and growth by region to guide strategy, GTM, and foresight.

Why this matters

Why this matters

Companies and consultants need to understand where talent is growing or shrinking — by function, skillset, and geography.

Traditional reports lag months and miss granular workforce signals. With curated API data, we enrich company and regional views with workforce size, role breakdowns, and growth dynamics. This gives strategy teams, RevOps, and consultants a clear, explainable map of workforce distribution to guide expansion, targeting, or policy decisions.

How Starzdata solves this

How Starzdata solves this

  • Define region, sector, and company set (filters or account list)

  • Enrich workforce by size, growth, and role categories

  • Aggregate and score workforce signals into regional intelligence


This segment is activated with a blend of trusted sources and your own inputs

User Input

Curated APIs

What you get:

What you get:

  • Workforce distribution by role, region, and company

  • 12-month growth and decline signals at regional scale

  • Regional workforce scores to benchmark momentum

  • Standardized dataset, BI-ready in 72h

One view connects accounts, talent, and markets for strategic clarity.


Sample data for this segment

#region filter input(input)sector filter input(input)company name input(input)company url input(input)company namecompany name confidenceemployee count currentemployee count current confidenceemployee growth 12mo pctemployee growth 12mo pct confidencerole categoryrole category confidencerole headcountrole headcount confidenceregional share pctregional share pct confidenceregional workforce scoreregional workforce score confidence
1US-CACloud ComputingDataForge Systemshttps://www.dataforge.ioDataForge Systems95%54090%27.888%Engineering92%32087%72.190%8188%
2DE-BYRenewable EnergySolaris GridTechhttps://www.solarisgridtech.comSolaris GridTech94%230089%12.586%Operations91%85085%65.488%7487%
3UK-LNDHealthcare AIMediNova AIhttps://www.medinova.aiMediNova AI95%12082%58.385%Sales90%2580%91.292%8889%
4FR-IDFFinTechPayLinkhttps://www.paylink.frPayLink93%43088%15.284%Support89%9083%7687%7085%
5SEAgriTechAgriNexthttps://www.agrinext.seAgriNext92%3580%22.282%Engineering88%1577%10095%6684%
Showing 1 to 5 of 5 entries • Click row for details

Each row represents a company observed in a specific region.

  • Inputs: region, sector, and optional account details (name, URL).

  • Enriched fields: verified company name, current employee count, 12-month growth rate, role categories and headcounts, regional workforce share, and a composite regional workforce score.

  • Confidence: every enriched field carries a confidence score, showing how strong the underlying source is.

Your questions on this segment, answered

Isn’t this just descriptive data? How do I actually act on it?

Isn’t this just descriptive data? How do I actually act on it?

Isn’t this just descriptive data? How do I actually act on it?

Can I break down the workforce signals by function (e.g. sales vs engineering)?

Can I break down the workforce signals by function (e.g. sales vs engineering)?

Can I break down the workforce signals by function (e.g. sales vs engineering)?

Does this cover all regions and industries, or only major hubs?

Does this cover all regions and industries, or only major hubs?

Does this cover all regions and industries, or only major hubs?

How is this different from traditional labor market reports?

How is this different from traditional labor market reports?

How is this different from traditional labor market reports?

Can this data plug into my BI or CRM stack?

Can this data plug into my BI or CRM stack?

Can this data plug into my BI or CRM stack?

How do I use a regional workforce score in practice?

How do I use a regional workforce score in practice?

How do I use a regional workforce score in practice?

How fresh is the data on growth or decline in a region?

How fresh is the data on growth or decline in a region?

How fresh is the data on growth or decline in a region?

How do I know these regional workforce signals are trustworthy?

How do I know these regional workforce signals are trustworthy?

How do I know these regional workforce signals are trustworthy?

Your questions on this segment, answered

Isn’t this just descriptive data? How do I actually act on it?

Beyond description, each dataset delivers a composite score per region or account. These scores are confidence-rated and can be sorted, filtered, or pushed to CRM/BI, so teams can prioritize expansion, market entry, or GTM campaigns based on real workforce dynamics.

Can I break down the workforce signals by function (e.g. sales vs engineering)?

Yes. Data is categorized into role groups (engineering, sales, operations, support, etc.) with headcounts and growth rates, so you can see not just where talent grows, but in which functions.

Does this cover all regions and industries, or only major hubs?

Coverage depends on data availability, but curated APIs span both major hubs and secondary regions. Each dataset is scoped to your filters (region, sector, accounts) so you see what’s relevant to your strategy.

How is this different from traditional labor market reports?

Reports are static and lag months behind. Starzdata delivers granular, explainable workforce signals by region — updated continuously and structured for action.

Can this data plug into my BI or CRM stack?

es. Delivered as CSV, JSON, or API-ready feeds, the dataset connects seamlessly to CRM, BI tools, or data lakes.

How do I use a regional workforce score in practice?

High scores flag talent hubs with strong growth; lower scores highlight areas of decline. Strategy and foresight teams use them to guide expansion, targeting, or policy decisions.

How fresh is the data on growth or decline in a region?

Updates follow the pace of source changes — workforce datasets, filings, and company updates. Each field is time-stamped for transparency.

How do I know these regional workforce signals are trustworthy?

Each figure comes from curated APIs and is source-tagged with a confidence score. You see both the metric and the strength of its evidence.

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