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.
You start with the HR data landscape: employee records, HRIS exports, payroll and applicant tracking data, and how to clean and structure them. You then calculate core people metrics such as turnover, time to hire, absenteeism, cost per hire and pay equity, and present them in Excel and Power BI dashboards. Further sessions introduce predictive thinking on attrition and engagement, workforce planning scenarios and the ethics of employee data, including consent and privacy. The second half focuses on automation: mapping HR processes, selecting candidates for automation, building approval workflows for onboarding, leave and requisitions, and using forms, rules and bots to reduce errors. Human resource officers, HR business partners, talent and payroll specialists, HRIS administrators and people managers in corporates, NGOs and public bodies will benefit. Formats include classroom, online and in-house, and a CPD-accredited certificate is awarded.
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
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
Day 1: HR Data Foundations
- From HR reporting to HR analytics: maturity stages
- Data sources: HRIS, payroll, recruitment and time systems
- Data quality problems and how to fix them
- Cleaning and structuring data in Excel
- Defining metrics and a shared data dictionary
- Lab: preparing a sample employee dataset
Day 2: Core People Metrics
- Headcount, turnover and retention calculations
- Time to hire, source of hire and cost per hire
- Absence, overtime and productivity indicators
- Pay analysis and gender pay gap checks
- Benchmarking and trend interpretation
- Lab: a metrics pack for senior management
Day 3: Dashboards and Insight Storytelling
- Choosing charts that match HR questions
- Building dashboards in Excel and Power BI
- Filters, slicers and drill-down for managers
- Basic attrition risk and segmentation analysis
- Presenting findings and recommending action
- Lab: attrition dashboard from sample data
Day 4: Process Mapping and Workflow Automation
- Mapping onboarding, leave and requisition processes
- Spotting waste, delays and error points
- Criteria for choosing what to automate
- Digital forms, approval chains and notifications
- Document generation for contracts and letters
- Lab: designing an onboarding workflow
Day 5: Governance, Ethics and Roadmap
- Data protection, consent and retention for employee data
- Bias, fairness and transparency in HR analytics
- Security, access rights and audit trails in automated flows
- Managing change and training users
- Building a business case and benefits tracker
- Personal action plan and course review
The course serves people who manage, support or depend on HR information and processes, including:
- HR officers and HR business partners
- HRIS and payroll administrators
- Talent acquisition and learning specialists
- Heads of HR and people managers
- Reward and compensation analysts
- Organisational development practitioners
- Operations and finance staff who support HR
- Business analysts and IT staff working on HR systems
- Administrators in NGOs and public service commissions
On completing the sessions and practical labs, participants receive a CPD-accredited Certificate of Completion issued by Vision Reach Global Consultancy.
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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.
The course serves people who manage, support or depend on HR information and processes, including: HR officers and HR business partners, HRIS and payroll administrators, Talent acquisition and learning specialists, Heads of HR and people managers, Reward and compensation analysts, Organisational development practitioners, Operations and finance staff who support HR, Business analysts and IT staff working on HR systems, and Administrators in NGOs and public service commissions.
Data and Analytics for Digital HR & Process Automation Training Course typically runs as 5 Days. It's available as in-person classroom, live virtual, and in-house corporate training — every course can also be delivered on-site for your team on dates that suit you.
Data and Analytics for Digital HR & Process Automation Training Course is scheduled in-classroom in Nairobi, Kenya, Mombasa, Kenya, Naivasha, Kenya, and Kisumu, Kenya, and 14 other locations, plus a live interactive virtual classroom you can join from anywhere. Check the schedule panel above for exact upcoming dates and fees in each location.
The next live virtual cohort of Data and Analytics for Digital HR & Process Automation starts November 9, 2026, with new classroom cohorts also running on a rolling basis. Pick a date and location in the schedule panel above, then click "Register for the Course" — it takes a few minutes and your seat is confirmed once payment or a signed purchase order is received.
Yes — delegates who meet the attendance requirement receive a Certificate of Completion for Data and Analytics for Digital HR & Process Automation Training Course from Vision Reach Global Consultancy, issued in the name you register with, so double-check the spelling at checkout.
Data and Analytics for Digital HR & Process Automation Training Course is pitched at intermediate professionals. If you're unsure whether it's the right fit for your current role or background, message our training advisors before you register and they'll help you confirm.
Fees for Data and Analytics for Digital HR & Process Automation Training Course vary by delivery location and format and are shown in real time in the schedule panel above once you pick a date. Register 3 or more delegates on the same course together and a 5% team discount is applied automatically — larger cohorts can request a custom corporate quote.
Yes — Data and Analytics for Digital HR & Process Automation Training Course can be delivered on-site at your offices (or virtually for distributed teams), with case studies and examples tailored to your industry and the specific challenges your team is working through. Switch to the "In-House" tab in the schedule panel above to request a proposal.
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