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BIZENIUS.

Analytics for Talent Management

The statistical grounding HR practitioners lack — connecting talent data from every system you already run to bottom-line business impact.

The 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

Think analytically about talent decisions, connecting talent management initiatives to bottom-line business impact.
Apply basic statistical techniques to workforce data without waiting for a data-science team.
Interrogate the data already sitting in your ATS, HRIS, learning platforms and performance reviews.
Build the numbers case for retaining and engaging top talent, and for collaboration and knowledge sharing across the company.
Accelerate movement from early leadership to senior leadership using evidence rather than instinct.
Track and increase women and diversity in leadership roles, and sharpen how you attract, engage and retain Millennials.

Who attends

  • HR managers
  • HR and L&D professionals
  • Entrepreneurs and small business owners
  • Practitioners building a people-analytics capability

Cohorts bring together board members, executives and the rising leaders behind them — kept deliberately small, so every seat is a peer’s.

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.

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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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Teams from these institutions train with BIZENIUS

  • Citi
  • Barclays
  • ExxonMobil
  • Total
  • Gazprom
  • Standard Bank
  • QNB
  • Crédit Agricole
  • Nedbank
  • Absa
  • Raiffeisen
  • Halliburton
  • Baker Hughes
  • ConocoPhillips
  • Ooredoo
  • National Bank of Kuwait
  • Kuwait Finance House
  • Bank Muscat
  • Bank Audi
  • SABB
  • Garanti BBVA
  • Ecobank
  • Arab Bank
  • National Bank of Egypt
  • ADIB
  • Access Bank
  • Afreximbank
  • Repsol
  • QNB ALAHLI
  • Stanbic Bank
  • Equity Group Holdings
  • KCB Bank
  • Lombard Odier
  • NOV
  • Weatherford
  • Subsea 7
  • Al Baraka
  • Banque Misr
  • Burgan Bank
  • Bank ABC

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