Big Data Use Cases

What banking can learn from retail

July 24, 2014
Banks can improve their reputation and gain consumer trust by emulating retailers and leveraging big data and analytics. Read More

Real-time healthcare compliance analytics can keep patients alive and well

July 24, 2014
Medical professionals are between the proverbial rock and hard place when trying to determine whether, how and why patients are failing to comply with doctor's orders. On the one hand, their ability to help people depends on having intimate, current and accurate knowledge of people's physical conditions and behaviors. On the other hand, doctors can't be Big Brother, engaging in 24x7 surveillance of their patients' private lives and wielding the power to punish recalcitrants. However, physicians can, within the bounds of privacy and propriety, use analytics to assess who might or might not be compliant. Using those insights, the healthcare system might identify the most appropriate real-time interventions to minimize the impacts of noncompliance on healthcare outcomes. 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

Social media analytics for small countries

July 11, 2014
A quick social media analytics exercise will prove that high quality analysis requires ongoing attention. 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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