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Data Insights

Understand your market better to grow your return on investment

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Pharma & Medical Devices

Supply Chain and Inventory Management

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CAPITAL MARKETS

Is your revenue not growing? We will help you grow it!

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MEDIA AND ENTERTAINMENT

Retention and new Customer Acquisition

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BANKING ANALYTICS

Bringing you innovative ways to cross-sell and up-sell

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TELECOM

PREDICT CUSTOMER CHURN

Who Are We?

We are a team of Data Scientists and Big Data (Hadoop) Engineers with advanced degrees (PhDs) from Stanford University and University of Pennsylvania. Our team carries a combined experience of 50+ years in Technology, Data Analysis, Data Science, IT Engineering, and Big Data. We have worked with multiple Fortune 100 clients in the US in domains as varied as Finance, Pharma, Retail, High-Tech, Telecom, Insurance, Government, just to name a few.

A DATA ANALYTICS COMPANY

STRONG NICHE IN MACHINE LEARNING

WE LISTEN, FOCUS, AND FALL IN LOVE WITH YOUR DATA

AND THEREBY COME UP WITH NEW INSIGHTS

People Say
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John Mathew
Our work with SRP aimed to reduce our investment in inventory by 12% this year. We were thrilled when SRP’s FastTrack implementation program resulted in a net inventory reduction of 17% in the first 6 months. That was beyond our expectations in terms of cost savings and the speed with which we accomplished our goal.

Latest News

use bigdata

Use Big Data to your Advantage

The other day I was shopping at Macy’s and I tweeted about a fancy coat that I saw in there. I immediately got a response from Macy’s saying “Glad to know”. All businesses that are putting big data
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wfh

Analytics at Home

In my house, my wife knows our children and their idiosyncrasies, what they like, what they don’t like, how each of our sons would react to a given circumstance a little better than what I do. I am not bad at it,
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data-processing

Data Preprocessing

Principal Component Analysis seems to be a good choice at that point, because I had this idea in the beginning of removing useless pixels and pca just takes it some steps further by considering the variance of each feature.
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