Implementing HR Analytics for Talent

Management in a Major Bank

Challenge

A company was facing substantial hiring and retention issues, and needed insights from HR data to make informed decisions.

Services Utilized

Data Governance, Data Analytics

Results

HR insights resulted in 12% less turnover and an optimized hiring process.

The bank faced substantial challenges in talent acquisition, employee retention, and effective workforce planning.

These challenges were not only affecting the bank’s operational efficiency but also had a direct impact on its bottom line. High turnover rates and poor workforce planning were leading to increased costs and reduced profitability.

• Talent Acquisition: The bank found it difficult to attract and hire the right talent. This was not only time-consuming but also costly, as poor hiring decisions led to increased turnover and decreased productivity.

• Employee Retention: Once employees were onboarded, retaining them became another hurdle. High attrition rates were affecting team morale and increasing the costs associated with hiring replacements.

• Workforce Planning: The bank also struggled with effective workforce planning. Without accurate data and analytics, it was challenging to forecast staffing needs, identify skills gaps, and allocate resources efficiently.

Leveraging AWS services and a multi-disciplinary team, the bank integrated and analyzed HR data for actionable insights.

Approach & Architecture

• Data Storage & Processing: Utilized AWS services like Amazon RDS, Amazon EMR, and AWS Glue.

• Data Integration: Integrated HR data from various systems using Informatica.

• Data Governance: Collibra was used to ensure data governance.

• Reporting & Analytics: Employed Amazon QuickSight for basic reporting and Tableau for advanced HR analytics.

• Team Structure

• The team was comprised of HR domain experts, data engineers, data analysts, AWS specialists, Informatica developers, and Tableau experts.

The bank realized a 12% reduction in employee turnover, optimized hiring processes, and improved workforce planning, leading to significant cost savings.

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• Optimized Hiring: Streamlined the hiring processes.

• Reduced Turnover: Achieved a 12% reduction in employee turnover.

• Improved Workforce Planning: Enhanced the accuracy of workforce planning, leading to significant cost savings.

• By implementing a robust HR analytics solution, the bank successfully addressed its talent management challenges, resulting in optimized hiring processes, reduced turnover, and cost-effective workforce planning.

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Lee Ebreo

VP of Engineering at Credit Ninja

These things would not have been achievable if we did not build our own in-house system and if we did not partner with Sphere to help us achieve our goals.

Selah Ben-Haim

VP of Engineering at Prominence Advisors

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Lee Ebreo

VP of Engineering at Credit Ninja

These things would not have been achievable if we did not build our own in-house system and if we did not partner with Sphere to help us achieve our goals.

Selah Ben-Haim

VP of Engineering at Prominence Advisors