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Customer Case Study

     BRIDGEi2i helps a global networking giant to identify the key drivers of variation in
     performance across sales teams and be predictive in identifying teams with higher risk

     Business Challenge
     A global networking giant wanted to understand the key drivers of variation in performance across their sales
     teams and identify sales nodes with a greater risk of poor performance. Different business units within the
     organization had fundamentally different business models reaching to different types of customers and hence
     expected to have variation in drivers of performance. Such diverse segments also needed to be benchmarked
     differently based on the business dynamics.

     BRIDGEi2i Solution
     BRIDGEi2i performed an in depth analysis of sales team performance against various possible drivers, coupled with
     a 3 stage scoring model to identify key significant drivers of performance for each business and proactively flag
     teams with higher risk of poor performance in the quarter.

     Key Sales Driver analysis

            Base lined sales pattern for various types of businesses (Enterprise, SMB
             etc.) to develop consistent definition of good and poor performance
            Correlated various sales team characteristics such as plan assigned,
             growth of plan from pervious measurement period, vintage of sales
             reps, types of partnerships and mix of customers assigned to the team
             as against quarterly performance
            Assessed the effect of pipeline build up at the start of the period and
             velocity and momentum during the period

     Predictive Scoring Model

     BRIDGEi2i institutionalized a self-adjusting 3-stage scoring model that continuously
     monitors performance from the start of the quarter up till end of second month and
     identifies potential laggards. The model utilizes the key factors identified in previous
     stage and builds a probabilistic score for each sales node at various stages.



     Business Impact
     An informative and predictive dashboard set up for the sales leadership helped them identify potential risk of poor
     performance for various teams and proactively take intervention measures. The insight also brings predictability as
     well as risk triggers around achieving goals.

     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
                                                                                         Information    Insight      Impact
© BRIDGEi2i Analytics Solutions

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BRIDGEi2i Case Study - Sales Effectiveness

  • 1. Customer Case Study BRIDGEi2i helps a global networking giant to identify the key drivers of variation in performance across sales teams and be predictive in identifying teams with higher risk Business Challenge A global networking giant wanted to understand the key drivers of variation in performance across their sales teams and identify sales nodes with a greater risk of poor performance. Different business units within the organization had fundamentally different business models reaching to different types of customers and hence expected to have variation in drivers of performance. Such diverse segments also needed to be benchmarked differently based on the business dynamics. BRIDGEi2i Solution BRIDGEi2i performed an in depth analysis of sales team performance against various possible drivers, coupled with a 3 stage scoring model to identify key significant drivers of performance for each business and proactively flag teams with higher risk of poor performance in the quarter. Key Sales Driver analysis  Base lined sales pattern for various types of businesses (Enterprise, SMB etc.) to develop consistent definition of good and poor performance  Correlated various sales team characteristics such as plan assigned, growth of plan from pervious measurement period, vintage of sales reps, types of partnerships and mix of customers assigned to the team as against quarterly performance  Assessed the effect of pipeline build up at the start of the period and velocity and momentum during the period Predictive Scoring Model BRIDGEi2i institutionalized a self-adjusting 3-stage scoring model that continuously monitors performance from the start of the quarter up till end of second month and identifies potential laggards. The model utilizes the key factors identified in previous stage and builds a probabilistic score for each sales node at various stages. Business Impact An informative and predictive dashboard set up for the sales leadership helped them identify potential risk of poor performance for various teams and proactively take intervention measures. The insight also brings predictability as well as risk triggers around achieving goals. 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 Information Insight Impact © BRIDGEi2i Analytics Solutions