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All too often companies have only the vaguest idea about what kind of data they’re holding; because such data is very often hidden deeply away in a variety of databases and fragmented across different departments. We identify this data and bring it to light, making it visible, cohesive, comparable and easy to understand so that it really does support YOU in making the right decisions. And if need be, we can also identify any lacking data and define a concept to fill in the gap.
Developing a Recommendation Engine using Hybrid Approach

Developing a Recommendation Engine using Hybrid Approach

Posted by on Aug 22, 2017 in Case Studies | No Comments

  Client: A cloud-based interactive smart video platform that delivers personalized interactive videos on-demand to consumers. Objective Business: Increase time spent on site, number of videos watched, and repeat visits. The Engine: Devise an engine that offers relevant recommendation dynamically and in real-time. The Need Real-time recommendations need to be self-learning and based on massive amounts […]

MaxDiff modelling for product feature optimization

MaxDiff modelling for product feature optimization

Objective To understand which product features or applications are most important to a particular market. Approach An online quantitative survey was conducted that included a MaxDiff exercise in which 40 different product features were evaluated on what is best and worst among 15 sets with 4 features in each set. MaxDiff modelling was used over […]

An ensemble segmentation approach to Healthcare problem

An ensemble segmentation approach to Healthcare problem

Posted by on Feb 18, 2016 in Case Studies | No Comments

Client: A pharma major Time: May 2015   Objective: The client initiated a new biologic therapy and wanted to understand the potential drivers and barriers associated with it. He wanted to have a clear idea about the impact of the existing therapies in the market. To find this out we addressed the issues listed below […]

Urban Indian Consumers – Their Personal Finance Landscape

Urban Indian Consumers – Their Personal Finance Landscape

Posted by on Nov 5, 2015 in Case Studies | No Comments

Client: The Economic Times (ET) Time: April 2015 – April 2016 (Ongoing) ————— Objective To understand the investment needs, behaviour and preferences of urban Indians in the fields of income (household and personal) expenditure savings investment credit and debt risk coverage taxation Approach 12 online surveys are planned over the period of one year and each survey […]

Segmentation, Targeting and Positioning (STP)

Segmentation, Targeting and Positioning (STP)

Posted by on Nov 5, 2015 in Case Studies | 2 Comments

Client: A consultancy firm in South East Asia Time: January 2014 ———————— Objective The objective was to develop a segmentation algorithm on the basis of a set of psychographic attributes like basic values, beliefs, attitudes, perceptions, motivations and needs (functional, emotional, social and situational) in order to embark on targeted marketing and to enable positioning […]