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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.
Interns at JSM on their learning experience

Interns at JSM on their learning experience

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

A note by the interns: “Our internship experience taught us more than what we could have imagined. We felt that we had no idea where our career was going and we lacked confidence about what we could do and what we are really good at. Our internship has definitely given us a better understanding of […]

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  […]

Insightful and effective: “Deep Learning Specialization” by Andrew Ng on Coursera

Insightful and effective: “Deep Learning Specialization” by Andrew Ng on Coursera

Posted by on Mar 8, 2018 in Insights, Thoughts | No Comments

Not enough can be said about the contribution of Coursera and Andrew Ng to machine learning education. The very beginning of Coursera was with a machine learning MOOC in 2012, and this was, as far as I can tell, the first time machine learning education was made available freely and publicly. Such was the excitement […]

Assessing market demand using Neural Networks

Assessing market demand using Neural Networks

Posted by on Jan 29, 2018 in Case Studies | No Comments

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’

Posted by on Jan 23, 2018 in Case Studies | No Comments

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 […]

The role of Mahalanobis in emergence of Modern Statistics

The role of Mahalanobis in emergence of Modern Statistics

This article started as simply a transcript of a lecture by Stephen Stigler titled “Mathematical Statistics as a Global Enterprise” at Indian Statistical Institute (ISI) Delhi, commemorating the 125th birth year of Prasanta Chandra Mahalanobis. As I ruminated on what Stigler had to say about Mahalanobis and his role in the history and development of […]

Co-founder, Mrutyunjay Mishra on ‘Innovation and Open Data for Environment’ at IIM-L Conference on EMCB 2017

Posted by on Jan 20, 2017 in JSMNews | No Comments

The Annual Conference of Emerging Markets Conference Board 2017, held at IIM-L Noida campus, was based on – “Economic, Environmental and Social Sustainability: Opportunities and Challenges in Emerging Markets”. Mrutyunjay talked about how he took up the task of developing a low-cost and scalable solution for air quality monitoring and generating open data on air […]

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 […]