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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.
Helping a healthcare brand assess the market using Latent Class Segmentation

Helping a healthcare brand assess the market using Latent Class Segmentation

Posted by on Nov 15, 2017 in Case Studies | No Comments

BUSINESS CHALLENGE Scientists around the world have made advances targeted towards improving the body’s immune system for the treatment of various types of cancer. These advancements have led to new therapies. This survey we executed focused on the treatment of cancers, across different tumour types. The purpose of this research was to understand how the […]

Determining the right price of a product using Price Sensitivity Measurement (PSM) Analysis

Determining the right price of a product using Price Sensitivity Measurement (PSM) Analysis

Posted by on Nov 8, 2017 in Case Studies | No Comments

OBJECTIVE Getting the price of a product right is one of the most challenging issues faced by a B2B marketer. Price Sensitivity Measurement (PSM) Analysis is one of the marketing techniques for determining consumer price preferences by assessing different price-levels to provide recommendation on the most optimal price of a product. The aim of the research […]

Gauging what works best for a brand using correspondence analysis and hierarchical clustering

Gauging what works best for a brand using correspondence analysis and hierarchical clustering

Posted by on Nov 3, 2017 in Case Studies | No Comments

OBJECTIVE Marketers have always had to manage goals such as making their brands distinctive, making them central in their category, and understand competitors. The objective of the study was to understand how brands and a list of attributes/features are perceived by consumers. While understanding why a customer chooses a particular brand repeatedly over time, the […]

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 […]

TURF to maximize messaging reach

TURF to maximize messaging reach

Posted by on Jul 24, 2017 in Case Studies | No Comments

Objective To understand the message bundle that makes up the most motivating brand story, differentiating from competition, and thereby capturing the largest portion of the market possible. Approach Message importance was derived from the MaxDiff design. The number of messages included in the design was 40. Message Bundle Evaluation was conducted by a physician/MD ‘carries […]

Market Mix Modelling/ROI Modelling

Market Mix Modelling/ROI Modelling

Objective Identify relationships between sales and various marketing activities to understand how various elements of the marketing mix combine to drive sales in a competitive framework. Approach From the client’s transnational database, we have considered the retail audit data like Volume sales, WARP, Weighted Distribution, and Promotion volumes. From media data, both GRP and NGRP […]

Understanding the impact of TV programmes on children’s skills

Understanding the impact of TV programmes on children’s skills

Posted by on Jul 17, 2017 in Case Studies | No Comments

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 Using a naturalistic prospective longitudinal design, the study surveys children and their caregivers in several […]

Classification using higher order interactions: a hybrid approach

Classification using higher order interactions: a hybrid approach

Posted by on Jul 7, 2017 in Case Studies, Insights | No Comments

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 tree for identifying the significant interactions of the input variables and then, a feed forward neural network  […]

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 […]