Utilities, Oil & Gas and Chemical companies
can extract big returns from their investments
in big data and predictive anal...
Upcoming SlideShare
Loading in...5
×

Extract Big Returns from Investments in Big Data and Predictive Analytics in the Energy Industry Infographic

859

Published on

Most companies in the oil and gas, utilities and chemical process industries benefit significantly from global markets. They are using real-time data and analytics to solve key challenges in hotly competitive global markets.

Published in: Technology
0 Comments
1 Like
Statistics
Notes
  • Be the first to comment

No Downloads
Views
Total Views
859
On Slideshare
0
From Embeds
0
Number of Embeds
1
Actions
Shares
0
Downloads
19
Comments
0
Likes
1
Embeds 0
No embeds

No notes for slide

Transcript of "Extract Big Returns from Investments in Big Data and Predictive Analytics in the Energy Industry Infographic"

  1. 1. Utilities, Oil & Gas and Chemical companies can extract big returns from their investments in big data and predictive analytics Utility companies, newly enriched by information from smart grids and sensors, lead the pack of global industries in expected returns from big data... ...and close behind are O&G and chemical companies in using big data for geophysical modeling, demand forecasting and equipment maintenance. (mean percent of expected return in 2012 ) 73 % Utilities 60.6 % Oil & Gas/Chemical 45.5 % Average Base: 1,200 executives in North America, Europe, Asia-Pacific and Latin America Source: Tata Consultancy Services Meanwhile, related investments in predictive analytics leap ahead. (in the past year, how has your investment in predictive analytics technologies changed?) 25 23 18 % Increased 10%–19.9% % Increased 5%–9.9% Increased 20%–20.9% Base: 465 managers and executives in chemical companies in major geographic regions Source: Accenture Risk Analytics Study For more information and to read the full report, “Big Returns from Big Data in Energy and Process Industries,” visit www.sap.com/appliedanalytics © Copyright 2013. Bloomberg L.P. All rights reserved. %

×