Blogs

Winning the race with analytics: The speed advantage

October 24, 2014
2014 marks several significant shifts in the era of big data, and business executives around the globe cannot afford to ignore them. The most significant change is that velocity is now the value driver for big data. IBM’s sixth annual analytics study finds that organizations differentiating themselves with speed-driven data and analytics practices can significantly impact business performance and competitive position. Read More

Big data for social good, not for profit

October 23, 2014
Now that the Ebola virus is sitting in our backyard, the entire country is on high alert—and rightfully so, as it's no longer a disease that's plaguing people continents away, in little known countries. WHO indicates that there are 9216 Ebola cases with 4555 deaths. My first thought when I look at these statistics is: where is big data in the Ebola equation?  Read More

What's keeping data science from playing a more central role in public policy?

October 23, 2014
Data science by itself is an ineffectual civic-governance tool if it lacks strong champions who can wield it to get things done in the legislative, executive and judicial branches. Big data analytics can influence public policy if it helps frame a compelling case in the minds of decision makers for taking this or that action. And if data scientists can show that a counterintuitive scenario is more valid than "common sense" or "gut feel" on a particular decision, they just may change the terms of debate in public policy discussions. Read More

How to protect against sensitive data leakage

October 23, 2014
The average organization loses $3.2 million to data breaches, up 15% from 2013. It's time to blend log analysis, real-time and predicative analytics to enable a new big data security analytics strategy.  Read More

What’s the scoop on Hadoop?

October 23, 2014
“Hadoop is unstoppable as its open source roots grow wildly and deeply into enterprise data management architectures,” Forrester analysts Mike Gualtieri and Noel Yuhanna wrote recently in The Forres Read More

How do you find and define your customers in a big data environment?

October 23, 2014
Every day hundreds of articles and blogs are written about the theoretical value of big data, but many don’t offer actionable specifics. At IBM Insight on October 28, we are correcting this historical shortcoming and showcasing how big data (specifically Big Match) is enabling a single view of a customer in a Hadoop environment.   Read More

Business process management is not at the center of an IoT strategy

October 21, 2014
An Internet of Things (IoT) strategy requires a whole lot more than a business process management (BPM) engine to succeed. Read More

Big Data & Analytics Heroes: Addison Snell

October 21, 2014
Intersect360 Research studies the opportunities for high performance technologies, including high performance computing areas in science, engineering and business. CEO Addison Snell (this week’s IBM Big Data and Analytics Hero) shares his insights with us. Read More

Critical success factors in deploying Hadoop across industries

October 20, 2014
Big data (data from many sources, of varying formats, both structured and unstructured) means different things in different industries. But as different as their needs and usage of big data may be, there is one commonality among all industries: the opportunity to plumb big data for better, more informed perspectives on their customers, products, partners, competitors and strategies.  Read More

The decay of insight

October 17, 2014
The length of time that analytic insight has value is rarely considered in big data and analytics projects. Many leaders appreciate the time to value of data and insight, but these same leaders must also examine how insight decays when investing in big data and analytics, since this determines the window in which insight can be used. Read More

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