A Case Study About Optimizing HR Function Through Data-driven Workforce Analytics

    Client : An Industrial Machinery Manufacturing Company
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    case study
    • Manufacturing
    • Data Analytics
    • HR Analytics
    Problem Statement Problem Statement

    The client faced the significant challenge of maintaining accurate employee records, tracking key performance indicators, and ensuring compliance with labor laws and regulations across different countries. They required a comprehensive solution that can automate the integration of large amounts of data originating from their dispersed workforce, transform, store and generate actionable insights for the HR team to utilize.

    Key Challenges Key Challenges
    • Inaccurate and inconsistent HR data.
    • Inefficient recruitment processes caused delays, impacting operational efficiency.
    • Lack of predictive churn analysis resulting in reactive hiring and layoffs.
    • Unbalanced workforce distribution results in bottlenecks, inefficiencies, and skill gaps.
    • Inappropriate span of control resulting in unbalanced managerial workloads and communication breakdowns.
    Delivered Data Integration and Analytics Solutions

    Empowered data-driven decisions by simplifying data integration and delivering 14 comprehensive workforce analytics across all regions.

    • Head Count & Full-time equivalent Analytics.
    • Personal Expense cost Analytics.
    • Recruitment Analytics.

    • Span of Control analytics.
    Architecting with the Best Tech Stack
    • AWS
    • Amazon S3
    • Power BI
    • Amazon Redshift
    • Amazon Cloud watch
    • AWS Glue
    • SAP LOGO
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    Business Impact
    • 50% Boost in Recruiting Efficiency.
    • 15% improvement in Business Productivity.
    • Head Count & Full-time employee (FTE) Analytics.

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