Blogs

Blogs

Analytics

Find out how analytics, from data mining to cognitive computing, is changing the way we do business

Analytics

Wayne ThompsonOctober 9, 2014 0

Machine Learning at Scale with SAS and Cloudera

Imagine being able to get into your car and say “Take me to work.” Then, it automatically drives as you read the morning paper. We’re not there yet. But we’re closer than you think. Google has already developed a prototype for a driverless car in the U.S. Driverless cars are

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Advanced Analytics | Analytics

Mike GillilandOctober 8, 2014 0

Significant Digits in Business Forecasting

My favorite dog trick is the group hug. This is achieved by taking a dog's bad habit (rising up on strangers who don't really want a 70# dog rising up on them), and "flipping it" into something cute and adorable. It's all a matter of controlling perception, and that is

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Analytics

Carl FarrellOctober 8, 2014 0

Fighting fraudsters

You might assume that a battle-tested businessman with a gruff exterior and a taste for salty language lacks an inner child, but you’d be wrong. Exhibit A is this little-known fact: I have a soft spot for animated Disney movies. Now, I could try to bluff a bit and say

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Analytics

Aiman ZeidOctober 8, 2014 0

Why organizational maturity matters

I wrote “Business Transformation” to guide leaders through a journey to transform their organizations. I included methodologies and examples gathered throughout my 29-year consulting career to assist them. Every executive and leader focuses on how to use resources to produce value. Of course, value can be defined in many terms

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Analytics

Kelly HobsonOctober 8, 2014 0

Big data becoming reality with SAS

In the last 5 years, the buzzword "big data" has spread like wildfire. One could argue big data had been around prior, but during this time media outlets such as the Wall Street Journal and C-level executives started to take a keen interest in this topic. No longer a problem

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Analytics | Data Visualization

Robert AllisonOctober 7, 2014 0

The taxman cometh - for Amazon.com!

Do you order things online, to avoid paying sales tax? Those "good old days" might be coming to an end soon... Here's a snapshot of my latest purchase from Amazon.com (a little something for the Talk Like a Pirate party I had on Sept 19): In the US, each of

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Government | Retail

Analytics

Jeremy RacineOctober 7, 2014 0

An analytic approach to improving mental health access, quality and costs

Part 1: The challenge and the opportunity Mental illness continues to profoundly affect the nation’s population and, for the most part, remains greatly under analyzed. This is the first entry in a series about the mental health problem in the US, and how an analytic approach can improve care for

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Analytics | Data Visualization

Anand ChitaleOctober 5, 2014 0

Self-service and approachable analytics: Key for next gen business users

One of the hottest trends today in the business intelligence and analytics spaces is “self-service.” The word self-service is thrown around lightly in many situations and often carries different expectations for different people and organizations. Before we go into the details of self-service analytics it is important to have a

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Analytics | Data Visualization

Robert AllisonOctober 3, 2014 0

Which cars get the most speeding tickets?

Is the type of car you drive more likely, or less likely, to get a speeding ticket? Let's analyze some data to find out! Do red cars attract more attention from the police, and get more tickets? How about cars with a 'racing stripe'? Or cars with a big chromed motor,

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Analytics | Data Visualization

Robert AllisonOctober 2, 2014 0

Analysis of credit scores, and automobile loans

Have you heard the old saying that "Banks only loan money to people who don't need it"? Let's analyze the data and see if that is true!... I'm very much a car-guy, and I love learning about all the new vehicles, and love the new-car feel ... and even the smell. It's hard to not like a

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Advanced Analytics | Analytics | Customer Intelligence | Data Management

Alan LipsonSeptember 30, 2014 0

Get your house in order to cash in on retail’s omnichannel promise

Would you build a house without a proper foundation? Most of us wouldn’t dare, but that’s exactly what many retail businesses are doing today. When building a house, if you don’t get the foundation right, paint, wallpaper and fixtures won’t matter much. It’s no different in the retail industry. Success

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Analytics | Customer Intelligence

Ana MilicevicSeptember 26, 2014 0

Data and analytics in sports: three things to consider

It’s a great time to be a sports fan – and an even better time to be a sports and data fan as these two worlds continue to meld together. For the last couple of years nearly every conversation about sports, analytics or both had to have at least one

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Sports & Entertainment

Analytics

Maggie MillerSeptember 25, 2014 0

Just say no (not only) to OLS

This guest post was written by Zubin Dowlaty. He has 20+ years’ experience in the business intelligence and analytics space. At Mu Sigma, he works closely with Fortune 500 companies counseling them on how to institutionalize data-driven decision-making. Zubin is focusing his efforts managing an agenda of rapidly implementing innovative analytics

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Analytics

September 24, 2014 0

The New Normal is Strange

The first time I used the Internet it blew my mind. As a diplomat brat, at any point in time everyone I knew was everywhere but where I was. Thanks the miracles of Gopher, Veronica, IRC and email, the tyranny of distance didn’t seem so oppressive any more. When I

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Analytics | Data Visualization

Robert AllisonSeptember 23, 2014 0

SAS on "The Big Bang Theory" TV series!

If you're a SAS user, chances are you're a bit of a science/technology/engineering/math nerd -- and also a fan of The Big Bang Theory. Therefore this SAS analysis on The Big Bang Theory should be right up your alley! Yesterday (September 22) was the start of the 8th season for the TV series,

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Sports & Entertainment

Analytics

Maggie MillerSeptember 22, 2014 0

If You Don’t Know Where You Are Going, Any Road Will Take You There!

This guest post was written by Dr. Jay Liebowitz, DiSanto Visiting Chair in Applied Business and Finance at Harrisburg University of Science and Technology. He is also the author of several books including, “Big Data and Business Analytics,” Business Analytics: An Introduction,” and “Bursting the Big Data Bubble.” Next month,

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Analytics

Beverly BrownSeptember 19, 2014 0

Searching for signs of life in the universe ... with SAS

Light years from Earth, within the constellation Virgo, two galaxies crashed into one another. Not something you could’ve seen peering into the night sky with the naked eye. We know it happened because astronomers pieced together images from several powerful telescopes to create what CBS News called a “cosmic magnifying

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Analytics | Data Visualization

Robert AllisonSeptember 18, 2014 0

Shocking data about your electricity rate!

Did you know that different states charge different $$ rates for electricity? The graphs in this blog will let you easily compare your rate to the rates in other states ... Did you have a portable radio (aka "boombox") back in the 1980s? Do you remember how much it cost

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Energy & Utilities

Analytics

Daniel AunvigSeptember 15, 2014 0

Thinking like the customer: the value in mapping the customer journey

Data-driven marketing is all about how marketers can harness data and analytics to create a more customer-centric, fact-based approach to customer engagement. This, combined with quality execution leads to better customer experiences and improved customer equity. However when looking at customer-brand interactions in silos such as in the call centre

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Analytics | Data Management

Stefan AhrensSeptember 15, 2014 0

What an IT project manager should know about analytics projects

Imagine this situation: You go to you doctor and tell her that "something hurts in the lower chest area." Now, based on this short description of your pain, you expect her to come up with a precise diagnosis and a specific therapy suggestion, including treatment time and associated cost. Sound

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Analytics | Data Visualization

Robert AllisonSeptember 11, 2014 0

Does your county have a Mine-Resistant Ambush Protected vehicle?

There's been a lot of debate lately about whether it's good or bad for the local law enforcement agencies to receive military surplus items. The data has recently become available, but it is just a big long text list of almost a quarter million items (see below). Therefore I thought

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Analytics | Customer Intelligence | Data Management

Leo SadovySeptember 9, 2014 0

The tragedy of overcapacity

Capital investment in production capability is the weakest link in the business value chain. It always has been and likely always will be. It’s the driving force behind the tendency towards cartels, collusion and monopolies. While it can make the first entrant into a brand new market, in the long

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Analytics

Maggie MillerSeptember 8, 2014 0

The growing role of analytics in management education

This guest post was written by Owen P. Hall, Jr., Professor of Decision Sciences at Pepperdine University’s Graziadio School of Business and Management. He has more than 35 years of academic and industry experience in mobile learning technologies and business analytics. He also holds the Julian Virtue Professorship and is

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Advanced Analytics | Analytics

Mike GillilandSeptember 4, 2014 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

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Advanced Analytics | Analytics

Mike GillilandSeptember 4, 2014 0

5 steps to setting forecasting performance objectives (Part 1)

It is after Labor Day in the US, meaning we must no longer wear white shoes, skirts, jackets, or trousers. But even if you are now going sans-culotte, it is time to begin thinking about organizational performance objectives for 2015. Setting forecasting performance objectives is one way for management to shine...or

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Advanced Analytics | Analytics

Mike GillilandSeptember 4, 2014 0

Reminder: September 30 deadline for IIF/SAS Research Grants

I wanted to pass along this reminder from Pam Stroud at the International Institute of Forecasters: Grant to Promote Research on Forecasting For the twelfth year, the IIF, in collaboration with SAS®, is proud to announce financial support for research on how to improve forecasting methods and business forecasting practice.

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Analytics | Data Visualization

Robert AllisonSeptember 3, 2014 0

Analyzing the Atlantic Coast Pipeline

Admit it - you were fascinated by the 3D pipes screensaver! How many CPU cycles did we let our machines burn up, drawing and re-drawing those silly pipes!?! What was your personal favorite CPU-hungry screensaver? (let us know in a comment!) Well, speaking of pipes, the proposed Atlantic Coast Pipeline

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Energy & Utilities

Analytics | Data Management

Anne BelderSeptember 3, 2014 0

Data as the most critical asset

Writing my previous post about digital banks got me thinking about the widespread use of analytics. In his book Digital Bank, Chris Skinner states that data should be seen as the most critical asset for digital banks. Actually, this holds true for almost every company nowadays. If you don’t have data of

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Analytics | Data Visualization

Robert AllisonAugust 28, 2014 0

US public schools projected to be majority-minority in 2014

Being that today is a Throwback Thursday, I decided to re-create one of my favorite events from elementary school -- show-and-tell! And of course I'll be showing and telling you about a graph ... using school data! OK - that SAS graph (above) is definitely "Throwback" but it's not the one

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Analytics

Nele CogheAugust 27, 2014 0

Turnout vs popular party in European elections

In the last edition of the European elections, the main question was not only “Who is going to win the elections?” but also “What is going to be the turnout?” As it has taken a month and half to establish the real figure (the previous figure was based on exit polls so

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