Smarter Workforce Planning with Draup + Oracle Autonomous Data Warehouse

Oracle Autonomous Data Warehouse meets Draup’s workforce intelligence. Stream talent, skills, and market datasets into Oracle Autonomous Data Warehouse to power HR analytics, workforce planning, and AI-driven workforce models, with no integration friction.

Why Draup + Oracle ADW

Draup augments Oracle ADW with global labor benchmarks, skill availability, and mobility insights that help HR teams understand workforce risks and opportunities. By combining internal HR data with Draup’s external intelligence, organizations gain clearer foresight into talent supply, cost pressures, and emerging skills.

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About Oracle Autonomous Data Warehouse

Oracle Autonomous Data Warehouse is a self-driving, self-securing, and self-repairing platform. It ensures high performance, automated management, and strong security for enterprise analytics.

How the Integration Works

  • 1Stream Draup delivers structured talent intelligence directly into your data platform with secure, scalable access.
  • 2Contextualize Datasets surface critical workforce signals, skills gaps, mobility flows, market competitiveness, and emerging role trends.
  • 3Model Teams build forecasts, scenarios, and AI-driven workforce models using combined internal and external data.
  • 4Operationalize Insights flow into planning, reporting, and decision-making systems to support faster, smarter talent strategies.

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Talent Teams with Oracle ADW + Draup see

  • Early warning signals for skill shortages
  • Market-aligned workforce planning
  • Global benchmarking of talent and cost structures
  • Faster insight generation across HR analytics teams

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What You Can Do

  • Map internal skills against global supply and salary benchmarks
  • Identify high-availability markets for critical roles
  • Analyze competitor hiring and mobility patterns
  • Forecast long-term talent risks and workforce transitions

Draup Works Wherever Your Teams Work 

Draup connects with 30+ ATS, HRIS, and HCM platforms, so your recruiters, workforce planners, and HR leaders get market intelligence in the tools they already rely on.

Frequently Asked Questions

What intelligence does Draup bring into Oracle ADW?

Skills data, labor availability, mobility insights, and role forecasts.

Can this be used for global workforce planning?

Yes, many teams use it to compare regions and develop long-term plans.

How is the data refreshed?

Datasets update regularly to reflect changing market conditions.

Does this support predictive HR models?

Yes, Draup datasets are optimized for AI and forecasting use cases.

Who benefits from this integration?

Workforce planning, HR strategy, talent analytics, and executive teams.

Impactful insights, delivered real-time

Access insights via API, custom data feeds, the Draup platform or using MCP

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APIs & Integrations

Best for

Embedding live insights in workflows without storing data

  • Native integrations with 33+ HCM, HRIS, ATS and more, like Workday, SAP Successfactors, etc.
  • Real-time access to critical data
  • Enhanced security and data Integrity
  • Efficient API performance with flexible limits
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Custom Data Feed

Best for

Analytics at scale & joining Draup with internal data

  • Highly customizable feeds for workflow needs
  • Scheduled pushes to data lakes/warehouses (S3, ADLS, BigQuery, SFTP)
  • Scalable use cases with the data
  • Integrates with internal data assets for co-pilots/agents
Learn more
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Draup Platform

Best for

Fastest time-to-value,
no build required

  • Ready-to-use UI with 200+ productized use cases & workflows
  • Leverage visualizations & workflows to drive seller action with no overhead
  • Enterprise controls: SSO, RBAC, governance
  • Integrates UI & functionality into CRM apps
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Model Context Protocol

Best for

Real-time Al workflows & LLM applications

  • Native integration with Claude, OpenAl, and MCP-compatible Al tools
  • Zero ETL, models query live data without pipelines or reindexing
  • Governed access with token-based scopes, Pll masking, and audit trails
  • Grounded, real-time data prevents LLMs from generating outdated or inaccurate insight
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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.

1

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.

2

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.

3

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. Learn more

4

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.

5

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.

6

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.

SOC 2
GDPR
ISO
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.

Ready to see results?

Drive better decisions with unmatched, real-time data & agentic intelligence

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