To Buy or Not to Buy, Right Now
Point / Counterpoint 12/17/2012 30 comments
Using big-data to drive retail prices up and down several times a day just seems likely to make already skittish consumers more anxious.
The Myth of De-Identification
Point / Counterpoint 7/20/2012 15 comments
De-identified only means that it would be difficult to re-identify the people in the original record. It doesn't mean it would be impossible.
GUI Schmooey ‒ You Need to Know Code!
Point / Counterpoint 3/26/2012 18 comments
Only coders can understand what's happening behind the dashboard with all those jazzy GUIs and brightly colored pictures, argues blogger Joe Stanganelli in this Point/Counterpoint debate.
Still Coding? That's Crazy ‒ Go With the GUI
Point / Counterpoint 3/26/2012 17 comments
For greatest competitive advantage, you want to build, release, fail, and iterate fast -- and only a BI GUI can let you do that, argues IT consultant Phil Charles in this Point/Counterpoint debate.
Scale Up With HPC for Best Analytics Support
Point / Counterpoint 3/9/2012 9 comments
Scaling out in the cloud is increasingly touted as a good option for analytics processing, but in this Point/Counterpoint piece one IT writer argues the strengths of an internal high-performance computing infrastructure.
Get Your Analytics Master's Now
Point / Counterpoint 2/10/2012 27 comments
In this Point/Counterpoint debate, Cordell Wise argues that more and deeper analytics master's programs are needed to fill a talent gap.
Give Klout Some Credit
Point / Counterpoint 1/6/2012 22 comments
In this Point/Counterpoint blog, AllAnalytics.com Editor in Chief Beth Schultz explains why Klout scores warrant attention.
For all the benefits a company can achieve by doing marketing analytics well, there are pitfalls if that effort proves invasive in the customer's view.
What would be your wish list for the analytics community?
The predictions for 2015 from experts polled by InforamtionWeek: Big data gets real next year, as does the Internet of Things.
A Gartner blog highlights a consideration -- call it a concern -- that all big-data analytics teams and their clients should keep in mind about including related and supporting departments in their initiatives.
Join the editors and Pierre DeBois for a Google Hangout on Friday, Dec. 19, at 2:00 p.m. ET.
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LEADERS FROM THE BUSINESS AND IT COMMUNITIES DUEL OVER CRITICAL TECHNOLOGY ISSUES
The Current Discussion
The Issue: Data visualization is an up-and-coming technology for businesses that want to deliver analytical results in a visual way, enabling analysts the ability to spot patterns more easily and business users to absorb the insight at a glance and better understand what questions to ask of the data. But does it make more sense to train everybody to handle the visualization mandate or bring on visualization expertise? Our experts are divided on the question. The Speakers: Hyoun Park, Principal Analyst, Nucleus Research; Jonathan Schwabish, US Economist & Data Visualizer
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