IT SERVICES

 

VERTICALS

Marketing

 

OBJECTIVE

Identify high potential large enterprise customers.

 

SOLUTION

-Segmentation

-Predictive Modelling

 

SOLUTION DETAILS

- Segmented customers using RFM methodology
- Discriminant analysis was used to identify the optimum cut off of revenue and transactions
- Identified high potential customers with accounts which could be grown and invested

 

Marketing

 

Identify and rank Global and SMB companies most likely to purchase services from the client. 

 

-Segmentation

-Predictive Modelling

 

- Identified segments of similar companies which have a higher propensity to purchase
- Using regression analysis critical factors affecting purchasing were identified
- Developed and recommended strategies targetting the various segments of customers


SOFTWARE PRODUCTS

 

Sales and Marketing

 

Build dashboards on opportunity pipeline and populate predictive modelling scores for prediciting probability to purchase and bundling/cross-sell.

 

Reporting Dashboards

 

- 5 member dedicated team churning out dashboards and ad-hoc queries for the sales team


BPO

 

Human Resources

 

Identify factors that influence high attrition and performance.

 

Workforce Modelling

 

- Using proprietory Redwood algorithms discovered that the profile of employees performing well and not attriting were completely different for two locations although they were for the same role
- This insight was absolutely crucial as until then the recruitment for the same role but in different locations was being done in the same manner
- Key factors influencing performance & attrition were identifiedfor both locations thus sharpening the recruitment process