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Case study · HR & workforce

Workforce questions answered in minutes

HR teams are asked about headcount, turnover and absence every week, and answer from spreadsheets each time. This is how we built Power BI workforce analytics from HR, payroll and recruitment systems, with sensitive personal data carefully protected.

Project overview

Workforce analytics on Power BI.

Industry
HR & workforce
Client
Confidential
Solution
Workforce analytics
Platform
Power BI + Azure SQL
Timeline
8–12 weeks
Team
3 people
Sources
HRIS, payroll, ATS
Privacy
Role-based, minimum group sizes
Users
HR, managers, leadership

Expected business outcomes

What the client set out to gain

Time saved on reporting, and earlier sight of turnover and absence trends.

  • 50–70% Less time on HR reporting

    Standard workforce questions answered from dashboards.

    Target range; depends on how many reports move over

  • Monthly Turnover and absence trends

    Trends by department and location, reviewed with managers.

    From HRIS and payroll data

  • Protected Sensitive data

    Small groups suppressed and access limited by role.

    Designed with the data protection lead

Business challenges

How HR reporting worked before

Every question means a new spreadsheet.

Headcount

Different figures from HR and finance.

Turnover

Calculated differently each time it's asked.

Absence

Recorded in payroll, rarely analysed.

Recruitment

Hiring pipeline in the applicant system's own reports.

Privacy

Spreadsheets with personal data emailed around.

Proposed solution

What the Power BI build covers

One workforce model with strict privacy rules.

  • Headcount and FTE

    Headcount and FTE by department, location and grade, reconciled with finance.

  • Turnover

    Voluntary and involuntary turnover with consistent definitions.

  • Absence

    Absence rates, patterns and Bradford factors where used.

  • Recruitment

    Hiring pipeline, time to hire and offer acceptance.

  • Diversity

    Representation measures with minimum group sizes.

  • Privacy controls

    Row-level security and suppression of small groups.

Project requirements

What the client asked us for

The request was self-service answers. Definitions come first: headcount, FTE and turnover must match what finance and leadership use.

Privacy is non-negotiable, so dashboards suppress small groups and managers see only their teams.

What the project had to deliver

  • 01Agreed definitions
  • 02Self-service answers
  • 03Manager views of their teams
  • 04Privacy by design

Key challenges & considerations

What made it harder, and what we did

  1. HR and payroll systems that disagree

    What we did

    Headcount was reconciled between HR, payroll and finance until all three agreed.

  2. Reorganisations changing department structures

    What we did

    Department structures were held with effective dates, so reorganisations did not break the trends.

  3. Sensitive diversity data

    What we did

    Small-group suppression hid figures that could identify an individual.

  4. Managers' different reporting needs

    What we did

    Managers received one shared set of views, with training on how to read them.

What we watched for

  • Reconcile headcount with finance
  • Set small-group suppression rules
  • Handle reorganisations in the model
  • Train managers on interpretation

Development process

Definitions, privacy, dashboards

Privacy rules are agreed before any dashboard is shared.

  1. Stage 1

    Definitions

    Headcount, FTE, turnover and absence defined with HR and finance.

  2. Stage 2

    Privacy design

    Access rules and suppression thresholds agreed.

  3. Stage 3

    Pipelines

    HRIS, payroll and ATS data loaded and reconciled.

  4. Stage 4

    Dashboards

    HR and leadership dashboards built.

  5. Stage 5

    Manager access

    Manager views rolled out with guidance.

Technology stack

Power BI with privacy controls

Secure data store and strict access in Power BI.

Reporting

  • Power BI
  • Power BI mobile
  • Paginated reports

Data platform

  • Microsoft Fabric
  • Azure SQL
  • Dataflows

Governance

  • Row-level security
  • Deployment pipelines
  • Measure documentation

Delivery

  • Git integration
  • Automated refresh monitoring

Quality assurance & deployment

Every figure reconciled before anyone relied on it

A dashboard is only useful if its numbers are believed. Each measure was reconciled to its source, and to finance where money was involved, before the report was released.

  • Each measure reconciled to its source system
  • Financial figures signed off by finance
  • Data quality checks on every refresh: completeness and freshness
  • Row-level security tested with real user accounts
  • Report performance tested at full data volume

Deployment

  • 01DashboardsHR and leadership dashboards built.
  • 02Manager accessManager views rolled out with guidance.
  • 03Deployment pipelinesReports moved from development to test to production through controlled pipelines.
  • 04Adoption and warrantyTraining for report users and builders, usage reviewed, and six months of free bug fixing.

Final deliverables

HR with answers ready

HR answers workforce questions from dashboards in minutes, with definitions everyone agrees, and managers see trends for their own teams.

Sensitive data is protected by design, not by hoping spreadsheets aren't forwarded.

  • Consistent workforce measures
  • Turnover and absence trends
  • Recruitment pipeline
  • Privacy-safe access

Handed over to the client

  • 01Data model and pipelinesDocumented and scheduled
  • 02Reports and dashboardsPublished with security roles
  • 03Measure definitionsEvery figure documented
  • 04TrainingFor report users and report builders
  • 05Six-month warrantyFree bug fixing after delivery

Success metrics

How success is measured

MeasureOutcomeHow it is measured
Less time on HR reporting 50–70% Target range; depends on how many reports move over
Turnover and absence trends Monthly From HRIS and payroll data
Sensitive data Protected Designed with the data protection lead

Verified reviews

What clients say about our custom software work

Verified reviews from our clients on the same kind of work, published on Clutch.

5.0 27 verified reviews

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