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Human Resources Analytics Dashboard

Delivering advanced Human Resources (HR) dashboards, reporting, planning and analytics services and SaaS.

Below is an example of one of our HR dashboards and the various HR measures (dependent on our client's reporting strategy) that we deploy in their board and management reports/analytics using various software analytics applications including Power BI, Cognos and MS Excel to name a few.


We hope you find the contents of this article of interest and that it also provides you with additional information as to the type of reporting/analytics that can be deployed specific to HR including the various types of report/dashboard filters.

human resurcs HR analytics dashboard scorcard

In this HR dashboard example the following measures have been used:

  • Full Time Equivalent (FTE).

  • Number of Incidents.

  • Internal NPS (Net Promoter Score).

  • Gender Representation.

  • Staff Turnover.

  • Vacancy Rate.

  • Head Count Movement.

  • Annual Leave Greater than or Equal to 4 Weeks.

  • Number of Incidents by Time and Day.

  • Training Hours per Full Time Equivalent.

  • Top Talent Turnover.

  • Market Ratio Compensation.

  • Volume per FTE.

  • Employee Attendance.

  • Cultural Diversity.

  • Consultant Full Time Equivalent.

  • Profit per Employee.

The filters that have been incorporated in this HR dashboard report are:

  • Business Unit/Department.

  • Geographic Region.

  • Different time frames across months and years.

We Partner With You in Overcoming

• Significant dependence on spreadsheets
• Low uptake of BI analytics technologies
• Minimal self-service reporting capabilities
• Organisational data silos
• Analytics ROI not measured
• Inability in scaling current analytics solution

• Many disconnected data sources

• Inefficient & slow decision making processes

• Difficulty rolling out new analytics technologies

• Ineffective & poor data quality

• No data governance

• Data is not trusted

Analytics BI Reporting Project Stages

Stage 1: Requirements & Data Profiling

We begin by understanding you analytics BI reporting goals  and begin profiling your data sources to begin designing your solution for review, feedback and sign-off.

Stage 3: UI & UX Experience Design

We follow a rapid application development methodology to reduce the time and cost in designing your solutions during UAT stage prior to deploying your analytics BI reporting solution.

Stage 2: Designing & Modelling

We progress to designing and developing your multi-dimension data model required to meet your goals and to test it to ensure your metrics and KPIs are valid.

Stage 4: Training & Support

We handover all process documentation to you including as required end user training and ongoing support of your solution.

Top Companies Hire Our Team

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