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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.
Things to remember while learning/teaching Data Science

Things to remember while learning/teaching Data Science

As a scholar, industry practitioner over 15 years of experience and off late as a trainer, I have seen a lot of trends emerge in Data Science from 2003 onwards. Unfortunately all the time, the analytics, data mining, now data science, is operated more on the basis of tools than approach or conceptual prospective. Earlier […]

A course on Data Science for professionals and students, in collaboration with Osmania University

A course on Data Science for professionals and students, in collaboration with Osmania University

Posted by on Jun 1, 2018 in JSMNews | No Comments

Today, we are in the midst of a data revolution. The amount of data is growing bigger day by day  due to social media,  increased number of devices connected to Internet and the reduction in the cost of storage devices. In order to handle  this enormous amount of  data, the industry needs  competent and efficient  […]

Assessing market demand using Neural Networks

Assessing market demand using Neural Networks

Objective The objective was to assess and forecast demand for a retail outlet, using Neural Networks. Approach In order to conduct the analytics, we applied the concept of Multi-Layer Perceptron (MLP) in Neural Networks which can classify and predict the patterns accurately. The inherently non-linear structure of neural networks is particularly useful for capturing the […]

Understanding the factors that make a brand a ‘favourite brand’

Understanding the factors that make a brand a ‘favourite brand’

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 data and deriving the set of drivers (factors driving the brand’s success) would not have […]

Learning begins at home: the internal training initiative at JSM

Learning begins at home: the internal training initiative at JSM

Posted by on Jan 5, 2018 in JSMNews | No Comments

Today, organisations face multiple challenges on all fronts as far as dealing with a dynamic environment is concerned. While technology creates powerful business opportunities, it also creates skills gaps. In a world of AI and ML, keeping up with the pace of technological advancements is a challenge and therefore a need for more specialised skill-sets […]

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 […]