Big data bracketologists are busily selecting their top picks and priorities for the "Smart Sixteen" Big Data Management Tournament. What's most important to Marketing, IT, Finance and Infrastructure? Which business challenge will come out on top? Make your picks today!
IBM recently hosted a webinar that covered the results of the Aberdeen 2013 Big Data for Marketing survey. As a follow up to the event, we created an infographic that summarizes the research in a way that is both interesting and fun to digest and share.
Big data is not a religion. Rather, it’s an analytics paradigm that enables business outcomes beyond what can normally be achieved at lower volumes, velocities and/or varieties of data.
Scale is everything. Big data means many things to many people, but at heart most of us agree that the “3 Vs” of
Within a few days of one another, IBM CEO Ginni Rometty shared her 3 Principles of Change at the Council on Foreign Relations, and the Wall Street Journal published a special series on big data and how it is changing the equation for business. This blog post reviews the key thoughts behind both
Have you ever been in a situation where you are so baffled and amazed at a process that your only response is, "Really!?!"
As in: many health care providers are still not using analytics as the basis for decision-making? Really!?!
If you're with a fan of Saturday Night Live, Seth Meyers performs a
Communications service providers are turning their attention to mobile optimization. They have realized that customer data and location monetization is vital to growth and they need to act quickly. A new animation illustrates how big data powers mobile couponing.
In medieval times, Alchemists hoped to convert base metals into the noble metal gold through the use of a Philosopher's Stone.
Today, in the field of information science, we talk about Information Alchemy, converting data into information and then into knowledge. Some people even add a 4th stage
Batch processing of big data often doesn’t provide the performance desired for interactive queries. Performance will depend on the type and volume of data being processed. When interactive exploration or analytics is needed, data staging with analytics-oriented, high-volume databases is needed.
By addressing chronic conditions at the population level, health organizations can achieve a greater impact. But it’s not easy. Successful programs have to employ measurement and analysis and include enormous volumes of data from an ever widening variety of sources. Making data useful, parsing what
While most organizations respond to asset failure by sending out maintenance crews, the process is very reactive. With the advent of relatively cheap information gathering and data analysis, organizations can now leverage big data, such as maintenance logs and asset usage, wear, and surrounding
This week we’re in New York City for IBM’s Smarter Analytics Leadership Summit where we are gathering with industry leaders to share insights on how they are working with IBM to leverage the explosion in big data and power intelligence to drive transformation in their organizations.
Nowhere is this
Big Data. It’s everything from machine data from sensors to social media, audio and video, transactions, and enterprise content. We’re all trying to figure out what it means and how to leverage it to better understand our customers and drive change in our organizations.
So what’s the answer?
Graph analysis is all the rage these days, and not just among data scientists. It's not a new discipline, but, to the larger business and consumer public over the past few years, it has seemingly come out of nowhere.
Graph analysis is, at heart, a mathematical approach for mapping complex