Zenik

Industry

Talent analytics for the industrial workforce

Talent is the new limiting factor, not capital

Financial capital is no longer the main constraint. Talent is. We apply talent analytics to the mining, engineering and operations workforce, where the scarcity and turnover of critical specialists carry the highest cost.

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300%

more revenue per employee at companies that excel at return on talent

99%

of companies that manage talent with high effectiveness outperform their competition

Ethical governance

Talent analytics with bias governance, explainable and auditable

Human resources concentrates the highest ethical and regulatory risk in the portfolio. Regulation on artificial intelligence in hiring is advancing and bias risk is explicit. For us that is not a limitation, it is the value proposition: we implement talent analytics with bias governance, explainability and compliance, in contrast to providers that neither explain nor audit their models.

  • Bias governance
  • Explainability
  • Compliance
  • Human oversight

Services

Three axes, from attrition to future headcount

Three axes specific to talent analytics. The method underneath them is the same across all five industries. The highest return on entry is anticipating the exit of critical talent.

01Talent analytics and retention

Responsible area · Talent Management and Compensation

Who is going to leave and why?

The exit of the critical specialist anticipated, with its cause identified.

The axis with the highest entry return. Turnover prediction anticipates the exit of critical talent and root cause analysis explains why people leave.

  • Turnover prediction and early warningThe list of who is about to leave arrives months before the resignation letter.
  • Turnover root cause analysis by role, location and tenureThe 7x7 shift maintainer at the northern site stops hiding inside the average.
  • Engagement and organizational climate analyticsThe annual survey turns into a list of actions by area.
  • Pay equity analyticsYou see where pay gaps open with no reason behind them.
  • Real time talent indicator dashboardsEach area sees its own headcount without asking for a report.
  • Employee data processing on a documented lawful basisEmployee data rests on legitimate interest, not on a signature from the worker.
02Strategic workforce planning

Responsible area · Workforce Planning

Will we have the people the plan needs?

The headcount gap projected over five years, by critical role.

Anticipates the headcount the strategy will need. It models future supply and demand of roles, and assesses growth and automation scenarios.

  • Role supply and demand modeling with a five year headcount planYou know how many people are missing, in which role and year.
  • Workforce scenario analysisYou test a growth plan or a site closure before committing to it.
  • Analysis of automation impact on the workforceYou know which tasks in each role get automated, and in what year.
  • Headcount planning for capital projectsThe project starts with people hired and trained on time.
03Skills intelligence and acquisition

Responsible area · Talent Acquisition and Development

What can the organization do and what is it missing?

Skills inventoried and selection with bias under control.

Knows the skills the organization has and the ones it lacks. It opens internal mobility, guides reskilling and orders succession, with bias control.

  • Skills inventory and reskilling analyticsYou see what the workforce can do and who to train first.
  • Internal talent mobility platformsOpenings get filled from inside before going to the market.
  • Analytics assisted recruiting with bias controlYou hire faster and can explain every candidate you drop.
  • Succession planning and high potential identificationEvery critical role has a successor ready, not an urgent search.
  • Algorithmic bias governance with standing surveillance and equity auditingEach model is measured against its bias thresholds every month, not once a year.
  • Explainability of talent decision modelsWhen a claim lands, the reason for the rejection comes out with its evidence.

From people data to the decision, with bias under control

Every front connects to the others on a single source of truth for human capital. That way the human resources function anticipates the exit of critical talent and backs every decision with auditable evidence.

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A diagnostic identifies the highest return front and defines a pilot with indicators agreed from the start.

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