In the oil and gas industry, analytics are used to improve both upstream and downstream operations, from optimizing exploration and forecasting production to reducing commodity trading risk and understanding customer's energy needs. If you plan to derive value from the digital oil field, big data, and analytics, one of the first things
In a complicated, fast-paced and connected world, you don’t succeed alone. SAS and Cloudera have a successful partnership that dates back several years. Our products are complementary and provide significant quantifiable value to customers who run them on the same cluster. Add Intel to the mix and you have a trio
You have to be "in it to win it" as they say. This is becoming the case for many organisations that need to start using data to make better, evidence-based business decisions. Today, using analytics is not so much a data lottery as a data necessity. Some businesses may not
There's a lot of talk right now about the Internet of Things and how it's likely the prime catalyst for the digital transformation of organizations over the next few years. Billions of sensors, and devices with sensors, all generating data in a hyper-connected world where it can be easily shared
It’s time to say goodbye to your father’s data. Today's data sources are large, fast and constantly flowing. Between the Internet of Things and always-on customers, it's hard to keep up with the data that's being generated all day long. “The goal is to find a way to harness the massive volumes
The smart grid is a technology infrastructure that adds intelligent capabilities to the electricity distribution system. When you apply analytics to the smart grid data, you can automate and improve operations, maintenance, planning and customer satisfaction - among other processes. As utilities continue to upgrade meters, transformers, and add new sensors and equipment,
With all of the discussion about big data these days, it is easy to think that every problem is a big data problem. Yes, there is a lot of data out there these days, and of course we all love a nice big data set, but you don’t always need
What does the future of analytics look like in your organizations enterprise architecture? Does it include thinking about a two speed approach to analytics which includes both: An agile rapidly changing analytics platform for innovation (a lab) seperated from operations and broad enterprise audience usage A slowly moving systematic enterprise analytics platform (a factory)
Almost fifty years ago, a band emerged from London that changed the landscape of rock music and set a new standard for musicianship. The band was The Jimi Hendrix Experience, and their front man redefined what it meant to play a guitar. Hendrix took an inanimate object – the same
A strong quote from John Tukey explains the essence of data visualization: “The greatest value of a picture is when it forces us to notice what we never expected to see.” Tukey was a famous American mathematician who truly understood data – its structure, patterns and what to look for.
