July 24, 2014
Banks can improve their reputation and gain consumer trust by emulating retailers and leveraging big data and analytics.
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.
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.
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.
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?
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.”
July 11, 2014
A quick social media analytics exercise will prove that high quality analysis requires ongoing attention.
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.
July 9, 2014
I’m looking forward to the upcoming Healthcare Analytics Symposium in Chicago next week (July 14-16) led by Health Data Management. During this analytics focused conference, we will hear from innovators who are leveraging big data and analytics in a variety of ways to solve real problems that touch different parts of their organizations.
July 8, 2014
Thod Nguyen, chief technology officer (CTO) at eHarmony and this week’s IBM Big Data & Analytics Hero, shares that “the faster we can actually have more insight to the data, the more we can actually feed that insight into our compatibility matching system to further improving our match quality.”