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Vision Reach Global
Human Resource (HR) Management

Live Online Data and Analytics for Digital HR & Process Automation Training Course

Live online, instructor-led · next cohort Nov 9, 2026 · from USD 800

Most HR departments hold years of records on hiring, pay, attendance and exits, yet still answer management questions with guesswork and spreadsheets copied between desks. Five days of hands-on work show how to turn that data into evidence and remove repetitive administration from the function.

Upcoming live online sessions

Live Online

Nov 9 – 13, 2026

$800

Register

Live Online

Dec 7 – 11, 2026

$800

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Live Online

Jan 4 – 8, 2027

$800

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Live Online

Feb 1 – 5, 2027

$800

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At a Glance

How Live Online Training Works

Live online training, led by a trainer in real time, for participants anywhere.

More about live online training →
Format
Live online, instructor-led
Duration
Mon - Fri (5 Days)
Fee
USD 800 (KES 80,000)
Next start dates
Nov 9, 2026, Dec 7, 2026, Jan 4, 2027
Certificate
Certificate of Completion
What you need
A computer with a reliable internet connection, a webcam and a headset

About this course

Boards and executives increasingly expect HR to explain workforce costs, retention risks and productivity with numbers, not anecdotes. At the same time employees expect quick, error-free service for routine requests. Teams that cannot analyse their own data or streamline manual processes find themselves reacting to problems and buried in paperwork.

This programme combines two capabilities that reinforce each other. The analytics strand teaches participants to assemble reliable HR datasets, define metrics consistently, visualise trends and interpret what they mean for recruitment, pay, performance and retention. The automation strand covers process mapping, workflow design, form and approval automation, document generation and integration with existing HR systems, with attention to governance, audit trails and change management. Throughout, data protection and fairness are treated as design requirements, since people data is sensitive and algorithms can embed bias.

Participants work on sample HR datasets and process scenarios rather than abstract theory. They finish with a working HR dashboard, a prioritised automation roadmap and a short business case they can present to leadership on their return.

Training Objectives

By the end of the course, participants will be able to:

  • Identify and consolidate the data sources that describe the employee lifecycle.
  • Clean, validate and structure HR data for reliable analysis.
  • Calculate and interpret turnover, absenteeism, time to hire and cost per hire.
  • Build interactive HR dashboards that answer specific management questions.
  • Apply basic predictive and segmentation techniques to attrition and engagement data.
  • Map and redesign HR processes to find the best candidates for automation.
  • Configure approval workflows for onboarding, leave and recruitment requests.
  • Protect employee privacy and check analytics for bias.

What you'll learn

Identify and consolidate the data sources that describe the employee lifecycle.
Clean, validate and structure HR data for reliable analysis.
Calculate and interpret turnover, absenteeism, time to hire and cost per hire.
Build interactive HR dashboards that answer specific management questions.
Apply basic predictive and segmentation techniques to attrition and engagement data.
Map and redesign HR processes to find the best candidates for automation.
Configure approval workflows for onboarding, leave and recruitment requests.
Protect employee privacy and check analytics for bias.

Key Takeaways

Participants return to work with:

  • A working HR metrics dashboard built on sample data.
  • A metric dictionary that defines each people measure consistently.
  • A process map and automation shortlist for their own HR function.
  • A tested approval workflow design for a common HR request.
  • A checklist for handling employee data lawfully and fairly.
  • A concise business case for investing in HR analytics and automation.

Training Methodology

Learning is tool-based and tied to everyday HR tasks. Delivery includes:

  • Guided computer labs using anonymised employee datasets
  • Step-by-step builds of dashboards and approval workflows
  • Short demonstrations of HRIS reporting and low-code automation tools
  • Small-group critique of each other's metric definitions and designs
  • A closing clinic where participants plan an automation for their own team
FAQ

Frequently Asked Questions About Live Online Data and Analytics for Digital HR & Process Automation Training Course

Everything you need to know about this course before you register.

By the end of the Data and Analytics for Digital HR & Process Automation programme, you'll be able to identify and consolidate the data sources that describe the employee lifecycle, clean, validate and structure hr data for reliable analysis, calculate and interpret turnover, absenteeism, time to hire and cost per hire, and build interactive hr dashboards that answer specific management questions. The full breakdown of topics is covered session by session in the Course Outline tab above.

Still have questions about Live Online Data and Analytics for Digital HR & Process Automation Training Course? Chat with an advisor·Visit the full FAQ

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What Our Clients Say

VRG brings strategic discipline to complex organizational challenges. Their approach is structured, data-driven, and outcome-focused.

Levis Wabwire

Levis Wabwire

Managing Director

They facilitated our strategy review, we improved departmental KPI alignment by 35% and reduced operational bottlenecks significantly.

David Oketch

David Oketch

Strategy Lead

Employee engagement scores increased following the leadership training program. The difference in accountability culture is evident.

Wendy Albright

Wendy Albright

Program Manager

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