Data Driven Analytics
At Mettl, an in-house team of experts on data analytics ensures the efficacy of certifications, which depend on the validity and credibility of the certification criteria. By considering various performance parameters, we achieve a clear, actionable reporting of skill assessments.
Precise, Accurate Analysis with Data Sciences
To develop a numerical basis for the pass/fail criteria based on qualitative research
Refining with Statistical Techniques
Fine tuning of our numerical basis using several statistical techniques and data clustering algorithms such as k-means and hierarchical clustering , which in turn eliminate practical anomalies
To map candidate performances into broad clusters to segregate and analyze different pockets of skill proficiency.
of test scores and assessment content to ensure we reach a defined basis for our certification criteria.
The Mettl team also utilizes Industry Validation, identified as the best method to validate the quality of training and certifications awarded to candidates. Detailed analyses are conducted to measure the efficacy of certifications on several demographics.
Detailed analyses are conducted to measure the efficacy of certifications on several demographics such as:
Job Role Variations
Regional & Language Study
Study by tier of towns
Study by Gender & Age
This readily measures the job readiness of a candidate by comparing him or her to top performers in an organization.
Reporting that is driven by data
Removes Agency Rating Bias
Achieve Stable and Fair Benchmarks
Pre-cursor to Industrial Validation
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