Blogs

Big Data & Analytics Heroes: David Vinson

November 18, 2014 | by Natasha Bishop, Big Data Strategy lead, IBM
David Vinson, business intelligence and analytics lead at Nike, believe that There’s a lot of new data out there—in fact, we now have access to data from the entire supply chain (from provisioning materials to build the shoe, to actually delivering the shoe on the dock, to selling the shoe). Big...

Facts may be dangerous, but context brings safety

November 18, 2014 | by Kimberly Madia, Worldwide Product Marketing Manager, InfoSphere Streams, IBM
“Just the facts ma’am” worked well for Joe Friday in the 1950s, however, in our big data world (where factoids pop up at incredible speeds, often with little warning) we need big data technology to help us bring the right context and act in the business moment. You can make big data make sense and...

Three things I learned about data warehousing on the cloud at IBM Insight

November 17, 2014 | by John Park, Project Management lead, dashDB, IBM
Day to day I tend to forget that my industry (technology), unlike accounting or banking, is at its core is about progression and moving the ball forward. Last year around this time, I returned from the Information on Demand conference (now IBM Insight) impressed with how our customers were using...

Data, analytics and the need for speed

November 17, 2014 | by Chris Nott, CTO Big Data & Analytics, IBM UK & Ireland, IBM
The case is clear: the faster you can turn raw data into intelligent insight, the quicker you can get ahead of your competitors. This theme comes through loud and clear in the latest analytics study from IBM’s Institute for Business Value. Nonetheless, only 10 percent of organizations fit into the...

The most important webcast you’ll attend this year on big data infrastructure

November 14, 2014 | by Rick Perret, Global Marketing Leader, IBM
IT infrastructure—it's at the core of everything we do and who we are. Imagine a world without infrastructure: humans would be amorphous blobs, buildings would crumble, cities would be chaos. But, luckily for us, infrastructure does exist and it is the cornerstone of business. However, it's not...

The importance of asking the right questions

November 14, 2014 | by Carla Gentry, Data Scientist and Founder of Analytical Solution, Analytical Solution
Each time I am called upon to consult with a business, I ask the same question: “What is your ultimate goal with this project?” Often it is to increase sales via correctly identifying their potential audience or customers. Of course, this isn't usually what's said; initially all I get is a panicked...

Chief data officer: My mixed and nuanced musings on the need for one

November 13, 2014 | by James Kobielus, Big Data Evangelist, IBM
When people say that "data is the new oil," they're usually making a general statement on how deeply modern organizations depend on data to drive transactions, analytics and processes in general. It's in that context that many organizations decide to appoint something called a chief data officer (...

Get started with the Big Data for Social Good Challenge

November 13, 2014 | by Harriet Fryman, Vice President, Information Management, Software Group, IBM
Supporting the social initiatives important to IBM employees and their families and friends is important to IBM. Now, big data technology is giving IBM and its people another opportunity to serve our communities and the world. 

The Internet of Things and Informix

Exclusive session highlights from Insight 2014

November 13, 2014 | by Oliver Clark, Social Media Execution Specialist, IBM
There was no shortage of information about Informix and the Internet of Things at IBM Insight 2014. Multiple sessions from such speakers as Fred Ho, chief technologist for Informix Warehouse at IBM, and Lalitha Krishnamoorthy, program director for Informix engineering at IBM, covered everything...

IBM + Hadoop = Recipe for success

November 12, 2014 | by Jennifer McGinn, Big Data Product Marketing Manager, IBM
What a shame. Most businesses aren’t taking advantage of their data, leaving them hungry for success. According to Forrester Research analyst, Michele Goetz, only 12 percent of available data is used. If I am any good at math, that means there is a lot of data that is not being used.