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

Designed for HR teams to transform unruly data into a trusted, strategic asset through real-time data quality monitoring and intelligent governance.

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HR Data Quality Platform

The Cost of Bad Data in HR

Business and HR leaders struggle with poor employee data quality inaccurate, incomplete, and outdated data caused by the lack of data quality monitoring creating downstream impacts across every HR function.

  • 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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Cost of Bad HR Data.
The Clean Data Solution.

The Solution.

Data Observability through a dedicated data observability platform 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 an HR data quality platform and no-code data quality platform that ensures clean, actionable, and trusted HR data, always combining real-time data quality monitoring with intelligent automation.

More On Data Observability

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 employee data quality and HR data health across multiple systems (HRMS, ATS, Payroll, and many more) with data quality monitoring
  • 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 Platform Capabilities

  • Ensure compliance and governance with automated audit trails across your HR data management platform.
  • 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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Experience the power of an enterprise HR Data Quality Platform built for Real-Time Data Quality, continuous monitoring, and trusted people analytics.

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