Suresh Sidhu, chief corporate and operations officer at Celcom Axiata Berhad and this week’s Big Data & Analytics Hero, shares insights on how they guided Celecom to be “a leader definitely in…market and possibly the most interesting [telecommunications company] out there today.”
"Traditional analytics are about what’s often called rearview mirror analytics. Streaming analytics, is about looking through the windshield," says Mike Gualiteri, principal analyst, Forrester Research.
Jason Verlen, director of product management at IBM, says that “composable business is one of the most exciting concepts in the market today” because it helps companies bridge that gap between the handling of data and the analytics that you drive into it. Listen as Verlen expands on this.
Nigel Hook, CEO at DataSkill and this week’s IBM Big Data and Analytics Hero, declares that they “are looking to use the new cognitive computing to really differentiate their customer’s ability to drive revenue.” He discusses how companies can really understand their patients and ultimately their
Research shows that enterprises only analyze 12 percent of their data. InfoSphere BigInsights for Hadoop empowers enterprises of all sizes to cost effectively manage and analyze big data so that they leverage all data and not just a sliver.
"The issue around identifying targeted analysis for anti-corruption is you just can't look at one data source," says Vince Walden, a partner at Ernst & Young with responsibility for fraud investigation and dispute services. "When you're looking for potentially improper payments that could be
Big Data & Analytics Heroes
Paula PostGroup VP of Merhcnadise Optimization, BonTon Stores, Inc.
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.
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
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
We have so much data available today that customers utilize to determine when, what and from who they buy. The onus then is on businesses to make data work for them. Listen to Corrigan tell the story of big data as it relates to insights from analytics that engage customers in new ways.
“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
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
Consider this quote from the recent “Improving Government Performance in the Era of Big Data: Opportunities and Challenges for Federal Agencies Workshop” at Georgetown University: “The seduction of big data is that it allows you to do things that you could not do in the past.”
The question is,