BRIDGEi2i helps the shared services arm of a Fortune 100 bank predict the possibility of attrition among employees and also assess its drivers.

1. Customer Case Study
BRIDGEi2i helps shared services arm of a Fortune 100 bank to predict possibility of attrition
among employees and also assess its drivers.
Business Challenge
A fortune 100 global bank runs its critical operations through large shared services centers in India. Retention of
this very large and diversified workforce is an on-going challenge while timely backfilling of critical positions are
even more. The management gets a periodic high level view of the attrition numbers but very little insight into the
underlying causes and hence act mostly in a reactive manner. A granular forecast of attrition is also a key
requirement to help the staffing team plan for timely backfills.
BRIDGEi2i Solution
BRIDGEi2i engaged in a consulting mode with the client to draw insights from their employee data base as well as
exit interview logs. Attrition data was overlaid on a set of explanatory variables like performance, compensation,
tenure, promotion, work-stream and manager influence, location to develop a comprehensive and granular
understanding of what drives attrition. The attrition trend and pattern was observed across granular segments to
develop a predictive forecast to help prepare for “ahead of the curve” hiring and staffing plan.
Attrition Drivers
The quantitative driver analysis reveals the interplay between organizational
factors that impact attrition. This enables a contextual and granular
understanding of levers and helped developing a targeted and customized
retention strategy
Text mining of exit interview comments helped identify primary causes of
variation in attrition across different teams. It helped identify the common
causes impacting large number of attritions.
Attrition Forecast
A time series model was deployed to generate granular forecasts across
segments which enabled a reliable outlook towards volume of proactive hiring
requirement and minimized “downtime” of critical roles
Business Impact
The management is able to contextualize attrition and distinguish its occurrence across various segments, driven by
their unique drivers, rather than looking at it as a massive amorphous problem. This enables development of data
driven effective, high impact retention initiatives.
About BRIDGEi2i
BRIDGEi2i is an analytics solutions company partnering with businesses globally, helping them achieve accelerated
outcome harnessing the power of data. BRIDGEi2i helps companies to BRIDGE the gap between INFORMATION,
INSIGHT and IMPACT in their journey to institutionalize data driven decisions across the enterprise.
For more details contact us: enquiries@bridgei2i.com
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