Month: January 2019

One of the Leading online matrimonial services platform. The strategy team wanted a better understanding of this audience in terms of usage behavior, perceptions and attitudes; specifically, to uncover the existing segments/user groups, profile them and understand their specific needs[BP1] .

We live in a social world and it is interesting to know what activities are preferred online across varied age groups labeled as Young adults, Millennial and Gen X. To understand this more closely, an Indian online survey was conducted

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

Hybrid Modeling For representation in this blog, we have considered German credit data for classification of good and bad credit risk using the interaction of the input variables through a hybrid approach. In this approach, first we developed a decision

Objective Understanding impact of viewership on children’s skill levels (tested through an instrument devised by leading child psychologists) after controlling for location, socio-economic levels, gender, pre-exposure levels across a panel of over 5000 children across urban and rural India. Approach

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

Client: A global fast food restaurant chain Objective The client intended to find the performance attributes driving the “Favourite brand” of the category where the population is more heterogeneous. Approach Since the population was heterogeneous in nature, merely aggregating the