Technology

Just released—The Forrester Wave: Big Data Streaming Analytics Platforms, Q3 2014

July 23, 2014
Hot off the press! In response to overwhelming market demand, Forrester evaluated an elite group of vendors who offer real-time analytic platforms and has just released the first ever Forrester Wave for Big Data Streaming Analytics Platforms. Read More

Starting with a clean slate: The new chief data officer

July 22, 2014
How should the new CDO get started with collaborating, prioritizing and spearheading an organization’s efforts to put data at the center of its business?  The new ebook, "Insights for the new chief data officer," provides insights derived from interviews and interactions with a number of early CDOs, as well as from related IBM studies and the experiences of information professionals across multiple industries, as well as recommendations for the CDO in three broad areas: strategic alignment with the business, data strategy development and project prioritization.  Read More

Big Data & Analytics Heroes: Paula Post

July 22, 2014
Paula Post, group VP of merchandise optimization at BonTon Stores, Inc., indicates that with big data she is delivering to her workforce “true information so they can spend their time making decisions and doing things to drive the business.” Paula is this week’s IBM Big Data and Analytics Hero. Read More

Realize your data’s potential

July 18, 2014
Research indicates that business and IT professionals spend more than 70 percent of their time finding data, validating it or defending it, rather than focusing on what they find most important: analyzing the data. With too little time spent focusing on data analysis, organizations derive sub-optimal returns from their big data initiatives. For better business outcomes, and to maximize the value from big data, organizations need to invest in an agile data governance program.In a recent survey, respondents indicated that they spend more than 70 percent of their time finding data, validating it or defending it, rather than focusing on what they find most important: analyzing the data.  Read More

Is the healthcare industry ready for Hadoop?

July 18, 2014
This big question looms whenever and wherever practitioners all join together to discuss advances, changes and needs in the industry. While, in some ways, the answer is “yes"—because there is a need, a desire and a significant opportunity—in many ways healthcare organizations are just not there yet. Read More

Real-world experiments and the Facebook controversy over mood manipulation

July 17, 2014
The recent controversy over the ethics of Facebook's attempts to influence moods through tweaks to its newsfeed algorithms is overblown. Essentially, Facebook data scientists conducted one of many real-world experiments that are standard operating procedure with them and with most online businesses these days. This was just a routine real-world experiment in big-data-driven sentiment analysis, content optimization and customer experience management. Read More

A big data driven customer experience

July 17, 2014
Each month it seems like we hear automotive original equipment manufacturers (OEMs) reporting record growth, but what is driving this growth? Pent up demand? Attractive new products? Is the market actually growing, or could it be that the automotive industry is starting to use big data and analytics to better understand their customer, hat they want to buy, how they want to buy it and how they want to interact with their car and their car company? Read More

Big Data & Analytics Heroes: Vince Walden

July 15, 2014
“You can’t just look at one data source,” says Vince Walden, partner at Ernst & Young, and this week’s Big Data & Analytics hero. With so much data available to us today to get a clear picture businesses must be able to look “at the data in all different angles—upside down and sideways—to get to where we think the issues are in a case.”   Read More

10 can’t miss posts for big data and analytics developers: July 2014

July 10, 2014
This month’s articles show the promise of big data technology in action. Explore the tools that help you digest the data, filter out the noise and make your next business decision based on the trends it reveals. Grab your safety goggles—it’s time to put theory to the test. Read More

Big data as a factor in life-or-death decisions

July 10, 2014
As the quantified-self (QS) movement picks up steam, it will become more feasible to instrument more at-home infants with 24x7 physiological monitoring. It's increasingly feasible to cradle the baby's entire birth journey (prenatal, delivery, postnatal) in a comforting stream of vital signs, real-time alerts, prescriptive analytics and big data. The same QS-cradled infrastructure could conceivably serve as an early warning system throughout our lives. Read More

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