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Jim Harris 0
Errors, lies, and big data

My previous post pondered the term disestimation, coined by Charles Seife in his book Proofiness: How You’re Being Fooled by the Numbers to warn us about understating or ignoring the uncertainties surrounding a number, mistaking it for a fact instead of the error-prone estimate that it really is. Sometimes this fact appears to

Thomas Keil 0
ISC Big Data – From Data to Knowledge

Im Vorfeld des Kongresses “ISC Big Data” sprachen wir mit Thomas Meuer über die besondere Rolle, die eine Supercomputing-Community im Bereich Big Data spielt. Der Veranstalter der ISC Big Data spricht über die Trends im High-Performance Computing (HPC), die Arbeit im CERN und beschreibt was Unternehmen von der Erfahrung im Forschungsinstitut

Data Visualization
Philip Boxley 0
Is big data really better?

Recently, I was reading an online article about predictive modeling and "big data."  Its premise was to determine whether the use of big data actually led to more accurate and meaningful predictive models and forecasts.  After citing numerous external examples and internal tests that the authors had compiled, it stated

Stuart Rose 0
Back to the Future…

Let’s go back in time to the summer of 2007. The original iPhone had just been launched. Miley Cyrus was Hannah Montana. The San Antonio Spurs were NBA Champions, and LeBron James was the savior of Cleveland Cavaliers. Insurance Executives were only concerned about legacy replacement systems. On the surface,

Work & Life at SAS
Shannon Heath 0
It's more than a culture. It's a family.

What does it take to be on the Huffington Post’s new B-team? Led by Arianna Huffington, this not-for-profit initiative is a group of global business leaders committed to making businesses more socially responsible - and blogging about it. It takes a real commitment to corporate culture, and not just the inspirational

John Kershaw 0
What ever happened to customer segmentation?

I recall that in the not too distant past customer segmentation, in its many guises, was once a flavour of the times. Segmentation was (and still is) however, a greatly misused term, with organisations confusing the (correct) approach of offering a strategic view of a customer base with the more

Rick Wicklin 0
Order variables by values of a statistic

When I create a graph of data that contains a categorical variable, I rarely want to display the categories in alphabetical order. For example, the box plot to the left is a plot of 10 standardized variables where the variables are ordered by their median value. The ordering makes it

Data Management
Steve Polilli 0
Your data is in Hadoop, so what?

Okay, let's say your data is in Hadoop. The distributed, open source framework is configured as it should be across low-cost servers and your data is sitting in those clusters. It's been a meaningful effort to get to this point but how does it benefit your organization? If it's not doing something

Advanced Analytics | Analytics
Mike Gilliland 0
5 steps to setting forecasting performance objectives (Part 2)

And now for the five steps: 1. Ignore industry benchmarks, past performance, arbitrary objectives, and what management "needs" your accuracy to be. Published benchmarks of industry forecasting performance are not relevant. See this prior post The perils of forecasting benchmarks for explanation. Previous forecasting performance may be interesting to know, but

Rick Wicklin 0
Ciphers, keys, and cryptoquotes

Today is my fourth blog-iversary: the anniversary of my first blog post in 2010. To celebrate, I am going to write a series of fun posts based on The Code Book by Simon Singh, a fascinating account of the history of cryptography from ancient times until the present. While reading

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