CASE STUDY

Leading Telco Achieves Multi Million Dollar Savings Using CPdM Platform

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Thanks for your interest in DataRPM's Case Study.

By downloading this case study, you will learn how a leading telecom achieved multi-million dollar savings using Cognitive Predictive Maintenance (CPdM) Platform.

Business Challenge:

To identify and predict which external factors affect machine efficiency as a key performance indicator and how

What We Did:

Identified 85% of customers that were likely to get affected by set-top box failures and the reasons behind the failures using an automated predictive model through CPdM Platform , resulting in a compelling and unique customer experience

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About Us
DataRPM is an award-winning predictive analytics company focused on delivering the next generation predictive maintenance solutions for the Industrial IoT. DataRPM's Cognitive Predictive Maintenance (CPdM)  platform automates data science leveraging the next frontier in machine learning known as meta-learning, which is machine learning on machine learning. The platform increases prediction quality and accuracy by over 300% in 1/30th the time and resources delivering 30% in cost savings or revenue growth for business problems around predicting asset failures, reducing maintenance costs, optimizing inventory and resources, predicting quality issues, forecasting warranty and insurance claims and managing risks better. The company was founded in 2012 and is based in Redwood City, CA with operations in the United Kingdom and India.

Learn more about the company at www.datarpm.com
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