When it comes to big data and analytics, you can expect the unexpected. A wide range of companies is applying insights in ways that may surprise you. Here are four examples featuring an unusual mix of companies where the only common denominator is their success with analytics.
Data science has been called the “sexiest job of the 21st century,” and based on the posts you have been devouring on IBM Big Data & Analytics Hub, the old adage “sex sells” definitely applies. Three of the most popular blogs from the first half of 2014 are about data scientists, and three more
We are taking a week-long look at the most popular content on IBM Big Data & Analytics Hub for the first half of 2014. Here are the most-watched videos of the year so far, covering Hadoop, IBM Watson and use cases for big data.
Half of 2014 has already passed us by, but it was chock-full of educational, thought-provoking and sometimes inspiring content here on the IBM Big Data & Analytics Hub. All week long, we will be reviewing the most read, most watched and most listened to content so you can catch up on anything
Conceptually, big data can be difficult for people to understand. If they can't fully understand it, then it's difficult for them to see how it fits into their strategic IT plans. To help explain the concepts behind big data and its place in IT infrastructure, IBM has developed a "Zone Architecture
Big data and analytics help insurance companies identify the next best action for customers. With the right solutions, companies can extract, integrate and analyze a large volume and variety of data, from call-center notes and voice recordings to web chats, telematics and social media.
Infographic: Healthcare is challenged by large amounts of data in motion that is diverse, unstructured and growing exponentially. Data constantly streams in through interconnected sensors, monitors and instruments in real-time faster than a physician or nurse can keep up.
Did you know that next year, 2014, the number of mobile phones in the world will exceed the number of humans? Are you ready for the rise of the cell phone?
It can be overwhelming, but smart telecommunications providers are turning call record data into actionable insight. How? By using predictive
As a kid, I used to love playing with puddles of water during rainy days (Unlike the millennials, we Gen-X did live closer to nature, didn’t we?). My favourite game was operating the “marbles cleaning factory.” The factory would get water from the puddle via my hand-constructed stream. It was quite
This is our seventh and final post in a series presenting the findings from the IBM Institute for Business Value and University of Oxford’s Big Data study and excerpts from the report, “Analytics: the real world use of big data in financial services.”
Analysis of the findings by my IBM colleagues
Swanie Tolentino, retail big data solutions & marketing leader at IBM, discusses key points from a research study titled, "The Real-world use of Big Data in Retail: How Innovative Retailers Extract Value from Uncertain Data." She also relates examples of how retailers are using big data and
This is our sixth post in a series of seven presenting the findings from the IBM Institute for Business Value and University of Oxford’s Big Data study, “Analytics: the real world use of big data in financial services.”
Analysis of the findings by my IBM colleagues David Turner, Michael Schroeck