An analytical problem can be broken down into a number of steps:
Ingest – Integration – Analysis – Interpretation
And yes, I did try to find a synonym for 'analyse' starting with an 'i' so we could have “four 'i's” to complement the “three (or four, or five depending upon your source) 'v's” of big
Customer engagement is a bit of a game, because, deep down, it’s a form of haggling and bargaining. Let’s be blunt: everybody has an ulterior purpose and is manipulating the other party in that direction. The customer is trying to get the best deal from you, and you’re trying to hold onto them and
For the past 2 months, a LinkedIn discussion group has been debating the burning question "Do You Need a PhD to Analyze Big Data?" Always itching for fresh chat, yours truly has stepped into the fray with a humble opinion or two. And I got flamed in no uncertain words. In fact, one PhD who didn't
Below are the top three questions I hear all the time from business partners and customers alike. I will take a moment to address each one. Before I do that, however, I wanted to flash back to 1995. I was responsible for building a channel around our new e-commerce offering called Net.Commerce (
Here are the quick-hit ponderings that I posted on various LinkedIn big data discussion groups this past week. I opened up one new theme–Big Media (which I'd introduced a few weeks back at this IBM big-data-relevant site) –and extended my existing discussions of peta-governance (going beyond what
Derechos, Droughts, Hottest July on Record, Shattered High Temp Records, Greenland Ice Sheet Melts.
Just what is going on with the weather these days? Is this weather really abnormal or does it just seem to be that way? Is this part of a trend? Does global climate change mean we’ll have more of
The term “big data” implies that size is the single distinguishing characteristic of the raw digital chaff from which businesses must now extract the wheat of actionable information. But as cloud computing becomes more pervasive, it’s not just the size of data that challenges organizations, but its
Visitors to IBM Netezza's "Thinking Inside the Box" may find something quite unexpected when they visit the site in the next few days. "Thinking Inside the Box" is becoming the IBM "Big Data Hub". While much of the content you've come to expect on "Thinking" will still be represented, we're
James Kobielus recaps last week's quick-hit ponderings, covering meaty metadata, proofs of concept, the role of behavioral analytics in recommendation engines, decision scientists, and the speed of thought.
Have you wondered to yourself – or asked out loud – “What is big data?” Chances are pretty high you have, and if so, you are certainly far from being alone. If you do a Google search, you’ll get a list of more than 675 million results for the phrase “What is big data?” To us, that alone is “big
Every day, our world creates 2.5 quintillion bytes of data. How businesses discover the real value in large volumes of data is key to their success. In this video, four IBM customers demonstrate how Smarter Analytics has helped them deliver the right product, prevent fraud, make informed and timely
developerWork's Scott Laningham interviews IBM Big Data Evangelist, James Kobielus, on why big data is so important, the role of Apache Hadoop and IBM BigInsights in making sense of big data, the evolving role of the data scientist, and and where data warehousing and big intelligence fit in.
Big data is going to change the way you do things in the future, how you gain insight, and make decisions (the change isn’t going to be a replacement, rather a synergy and extension). This book will help you get up to speed quickly on this technology and to show you the unique things IBM is doing
Big data is a set of technologies that need to be integrated with each other and with enterprise capabilities, meaning business processes, applications, relational databases and more. David Corrigan, director of product marketing for InfoSphere, explains IBM’s big data platform.
This paper, sponsored by IBM, looks at new developments in business analytics and discusses the benefits analyzing big data bring to the business. It also examines different types of big data workloads and offers suggestions on how to optimize systems to handle different workloads and integrate