Analytics for Talent Management
The statistical grounding HR practitioners lack — connecting talent data from every system you already run to bottom-line business impact.
Format
Classroom · Virtual
Upcoming sessions
Pick a session to applyADMISSIONS OPENThe programme
Data is collected at every point of the talent lifecycle — applicant tracking systems, HR information systems, learning platforms, performance reviews — and most HR practitioners still make talent decisions without it. This two-day, interactive programme arms practitioners with the terminology, skills and knowledge to navigate data and analytics: thinking analytically, applying basic statistical techniques, and connecting talent management initiatives to bottom-line business impact. The cohort works through analytics applied to talent acquisition, performance management, engagement and retention, continuous learning and leadership — including moving talent from early to senior leadership faster, increasing women and diversity in leadership roles, and retaining the people the business cannot afford to lose.
What you will do
Who attends
- HR managers
- HR and L&D professionals
- Entrepreneurs and small business owners
- Practitioners building a people-analytics capability
Programme agenda
Built for the decisions no textbook prepares you for
I.From records to evidence
- The data of the talent lifecycle — ATS, HRIS, LMS, performance reviews
- Why HR fails to apply the information it already collects
- The terminology of data and analytics
II.Analytical foundations
- Thinking analytically about talent questions
- Basic statistical techniques for practitioners
- Big data and analytics in the HR context
III.Analytics applied to the lifecycle
- Optimised talent acquisition
- Performance management, engagement and retention
- Continuous learning and development
IV.Leadership and business impact
- Moving talent from early to senior leadership
- Women and diversity in leadership roles; engaging Millennials
- Connecting talent initiatives to bottom-line impact
Frequently asked
Do I need a statistics or data-science background to attend?
No. The two-day, interactive programme is built for HR practitioners, not analysts — it arms participants with the terminology, analytical thinking and basic statistical techniques needed to work with talent data. It draws on the information already sitting in your ATS, HRIS, learning platforms and performance reviews, so no data-science team is required.
Which talent decisions does the analytics training cover?
The cohort applies analytics across the talent lifecycle — talent acquisition, performance management, engagement and retention, continuous learning and leadership. That includes moving talent from early to senior leadership faster, increasing women and diversity in leadership roles, and retaining the people the business cannot afford to lose.
Is the course available in French or as an in-house edition?
Yes. BIZENIUS delivers the programme in English and French, and an in-house edition can be tailored to your own HR systems and talent priorities. Sessions run on a rolling calendar with dates confirmed on request; fees and quotations are provided on enquiry.
Who teaches this
Practitioners, not presenters.
Led by practitioners who have built and run technology, data and AI capability inside institutions rather than presented it to them: heads of digital and product innovation in banks, data and AI leaders who have taken models into production under governance, and technology risk specialists who advise boards on what the estate can and cannot yet do.
What the bench brings
- Analytics, business intelligence and data warehousing
- Credit and enterprise decisioning with data
- Financial modelling and advanced spreadsheet practice
- Data governance and management
- Learning-needs analysis, design and evaluation
- Building internal training academies
Where they have practised
Current and former practitioners — people who hold the seat today alongside those who have held it.
Sectors: Banking & financial services · Professional services · Technology & fintech · Oil & gas
Regions: Africa · the Middle East · Europe · Asia · the Americas
How they teach
- Hands-on labs and worked data sets
- Case studies of real implementations
- Group design of business cases and journeys
- Demonstrations judged by adoption and control
- Knowledge checks and a personal action plan
Cohorts are kept small so every exercise is worked on the participants’ own situations — in person or live virtual.
The faculty profile for your cohort is sent with the full agenda and the next dates when you enquire.Request brochure →
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In their words
Knowledge transfer, emphasised throughout
“We worked with BIZENIUS for our Fresh Graduates Programme — they are simply amazing. Knowledge transfer and practical learning were emphasised throughout.”
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The most disciplined credit book in the market had to become its most accessible. The data showed exactly how.
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Take the brochure with you.
One request — the full agenda, the faculty and the next cohort dates, sent personally by the admissions team.