CASE STUDY

Improve Station Efficiency to Increase ROI- How IIoT helped Transform a Gas Pipeline

Hi There,

Thanks for your interest in DataRPM's Case Study.

By downloading this case study, you will learn how a leading gas pipeline company cognitively identified efficiency issues along the Gas pipeline, by automatically tracking Stations which had the highest contribution to performance of the pipeline.

Business Challenge:

Multiple inefficient stations on a Long-Distance Gas Pipeline hampered the overall efficiency of the pipeline leading to sub-optimal usage, wastage of natural resources and reduced revenues for the company.

What We Did:

DataRPM’s CPdM Platform empowered the client to identify stations which had the highest contribution to pipeline performance and the reasons for varying performance. For each of the identified stations, key factors which were impacting the individual station performance were analyzed

Please submit your details to download the case study.

Thank you!

Share:


X

Related Links

Free-4-Ever

Experience the power of Cognitive Data Science Platform for free and stay ahead of the pack! We are super excited to empower you in your journey for building cognitive data products! 

Sign Up Now!

Friday Demo

Hear from cognitive data science specialists how our platform is empowering Fortune 50, Fortune 100 companies. Grab a cup of coffee, sit back, relax and learn about cognitive data science! 

Register Now!


On-Demand Webinar

Watch Bill Schmarzo, the "Dean of Big Data", CTO EMC Big Data and Sundeep Sanghavi, CoFounder and CEO, DataRPM, discuss how big data drives business disruption and disintermediation and the genesis of Cognitive Data Science.

Register Now!


About Us
DataRPM, a pioneer in cognitive technology, is enabling asset-intensive organizations across the globe achieve a fail-proof environment, maximizing the yield of their mission-critical assets. Through its award-winning platform, the Cognitive Predictive Maintenance (CPdM) delivers greater than 80% accuracy in asset failure prediction at 1/30th the time and resources, delivering 30% in cost savings and revenue growth. By automating machine learning, voluminous data is ingested and analyzed faster and more accurately, creating a fail-proof environment that boosts asset performance. For asset-intensive organizations, this level of automation directly translates into immense cost savings through higher availability and enhanced reliability of assets.

Learn more about the company at www.datarpm.com
stevie winner
cool vender
1_CIO.jpg
2_analytics_award.jpg
3_NTT_award.png