HR’s First No-Code Data Quality & Observability Platform

Designed for HR teams to transform unruly data into a trusted, strategic asset that fuels your business decisions.

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Cost of Bad HR Data.

Business and HR leaders struggle with inaccurate, incomplete, and outdated data.

  • Over 90% of organizations make decisions using stale, inaccurate HR data, leading to poor talent outcomes.
  • On average, organizations lose four hours per employee weekly fixing HR data errors, thereby reducing productivity.
  • 80% of analytics project time is wasted on repetitive tasks such as cleaning data, instead of driving strategic insights.
  • Without centralized data ownership and quality standards, HR struggles with misalignment and inefficiencies.
  • Poor HR data costs organizations millions in hiring mistakes, compliance fines, and lost productivity.
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The Solution.

Data Observability continuously monitors and validates data for accuracy, consistency, and compliance:

  • Detects anomalies
  • Conducts root cause analysis
  • Recommends and corrects errors at source 
  • Visibility into data health
  • Prevents errors before they disrupt business decisions 

Talenode is a no-code data quality & observability platform that ensures clean, actionable, and trusted HR data, always.

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How Talenode Works.

Step 1

Set Up Rules & Accesses

  • Define rules for blanks, duplicates, formatting errors, and category mismatches.
  • Use pre-built validation templates or create custom rules—all without coding.
  • Assign role-based access controls for desired stakeholders.

Outcome: Talenode automatically detects, and flags data inconsistencies based on your defined rules.

Step 2

Automatic Anomaly Detection

  • Continuously track HR data health across multiple systems (HRMS, ATS, Payroll, and many more)
  • Get real-time alerts on anomalies or data trends impacting compliance.
  • Access HR data health scores by cohort and by error type to ascertain the root cause(s).

Outcome: HR teams gain full visibility into data quality and proactively prevent issues.

Step 3

ML-Enabled Data Corrections

  • Talenode’s ML engine automatically identifies patterns in recurring HR data errors.
  • The recommendation engine auto-fixes common issues, reducing human intervention.
  • HR teams and data owners can approve, override, or refine suggestions with a single click.

Outcome: Data issues are resolved faster, reducing manual corrections and IT dependency.

Step 4

Continuous Data Governance

  • Ensure compliance with automated audit trails.
  • Maintain cross-platform consistency across your HR tech stack.
  • Use Data Health Score & Insights to track data quality and prevent future errors.

Outcome: Maintain ongoing compliance in HR data and foster a culture of data trust.

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