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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.
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 […]

A silent move towards adaptive and model-dependent data models

A silent move towards adaptive and model-dependent data models

Over the last decade there has been a substantial increase of the volume and complexity of the data we are collecting and storing. Now we see an increasing demand for real time data processing – a continuous process of input / output of data. Accordingly, the approach to data analysis and data processing has changed […]

Knowing is succeeding!

Knowing is succeeding!

Posted by on Nov 6, 2015 in Case Studies | No Comments

Client: Syndicated study Time: July 2015 ——————— Objective Listening to music is the third most popular activity on a smartphone after calling and messaging. This study is a new data product JSM conceived to learn more about the country’s mobile music industry. The idea was to start off by gaining an understanding of the dynamics […]

Boost your revenue with pricing analytics

Boost your revenue with pricing analytics

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

Client: Indian Telecom Major Time: September 2014 ————————- Problem Statement The client had a rather unusual problem; their data usage was on the up and up but their revenue stream was significantly smaller than last financial year. Approach Our initial hypothesis led us to believe that pricing plans were not designed with insights in to […]

Segmentation, Targeting and Positioning (STP)

Segmentation, Targeting and Positioning (STP)

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 […]