Imagine you are the race director for a Formula One car. Decisions must be made within seconds, sometimes in the blink of an eye. When speed is of utmost importance, it is necessary for race engineers to have all relevant race data at their fingertips. Instead of having a couple of
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
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
Back in January, I told you about this amazing project that Ed was working on, and now it’s done. Get ready. It’s a textbook—a science textbook about the stars. “Say what?” you might be thinking. Well, trust me. This book is cool! Ed has been teaming with the Space Telescope
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
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
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.
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
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
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
Para comenzar este post, vamos a precisar en qué son los datos de referencia para luego pasar a hablar sobre el valor que representan para una empresa. Los datos de referencia tienen un significado contextual y semántico, simplemente se refieren a información que sirve para referenciar elementos y clasificar otros
In my previous post Sisyphus didn’t need a fitness tracker, I recommended that you only collect, measure and analyze big data if it helps you make a better decision or change your actions. Unfortunately, it’s difficult to know ahead of time which data will meet that criteria. We often, therefore, collect, measure and analyze
With the growing popularity and availability of online reviews and ratings, consumers have more information than ever before when purchasing a hotel stay. In order to build effective pricing and positioning strategies, hotel managers need to understand how consumers are using all of this user generated content with price to
While I was working on my recent blog post about two-dimensional binning, a colleague asked whether I would be discussing "the new hexagonal binning method that was added to the SURVEYREG procedure in SAS/STAT 13.2." I was intrigued: I was not aware that hexagonal binning had been added to a
At the KDD conference this week I heard a great invited presentation called How to Create a $1 billion Model in 20 days: Predictive Modeling in the Real World – A Sprint Case Study. It was presented by Tracey de Poalo from Sprint and former Kaggle President and well known
The ODS ExcelXP tagset has served us well over the years. It provides a reliable method to get formatted SAS output into Microsoft Excel workbooks, where the business world seems to like to live. And it's available in Base SAS, which means that you don't need SAS/ACCESS to PC Files
¿Alguna vez ha pensado en cómo sería si se pudieran predecir conflictos? Hay muchos ejemplos de cómo los grandes volúmenes de datos pueden ser utilizados para el bien del mundo. En este post, Jim Davis, Vicepresidente Senior y CMO de SAS, resalta cinco casos recientes en los que el uso del Big
In the first Star Wars movie, Obi-wan uses Jedi mind tricks to convince the stormtroopers that the droids they see are not the droids they're looking for. A colleague at SAS passed along a question from a SAS user where the column labels they were seeing were NOT the labels
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
A while back The Wall Street Journal published the article “Corporate Economists Are Hot Again“ that chronicles the resurgence of in-house economists in corporate America. The role of a corporate economist may bring about visuals of classic economist stereotypes (watch Ben Stein play to this stereotype as a teacher in
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
In his pithy style, Seth Godin’s recent blog post Analytics without action said more in 32 words than most posts say in 320 words or most white papers say in 3200 words. (For those counting along, my opening sentence alone used 32 words). Godin’s blog post, in its entirety, stated: “Don’t measure
Last Monday I discussed how to choose the bin width and location for a histogram in SAS. The height of each histogram bar shows the number of observations in each bin. Although my recent article didn't mention it, you can also use the IML procedure to count the number of
“The best data scientists are those that combine deep statistical / data / machine learning skills with domain knowledge.” “[Most companies] haven't properly addressed the need for cultural change!... There's still this prevailing perception that it's a technology & skills problem.” “Analytics only ever tells you one of two things—it
When the recent earthquake hit California, one of my friends commented that "California is so dry right now, I'm surprised it didn't just break off and fall into the ocean!" It got me wondering, just how bad and widespread is California's drought? I did a few Web searches and found lots
Because you are already halfway there and you should want the entire process to be data-driven, not just the historical reporting and analysis. You are making decisions and using data to support those decisions, but you are leaving value on the table if the analytics don't carry through to forecasting. In the
In just a few short days, I’ll fly cross-country to attend the Western Users of SAS Software conference (WUSS). I make no secret of the fact that I love California: San Diego, San Francisco, Los Angeles, among others, are all great cities to visit. This year WUSS will be held
How many projects have you worked on that forgot to test size, volume, and conduct load balancing in a newly converted environment? I have worked on a few of those types of projects. I know in a data warehousing effort, we always check any servers and databases, based on load,
What is true customer loyalty? And how can you achieve it without compromising data privacy? According to Peter Hedberg, a senior customer relationship manager with SAS, true customer loyalty programs put the customer at the center of the relationship and use data in ways that are designed to please - not panic
When you create a histogram with statistical software, the software uses the data (including the sample size) to automatically choose the width and location of the histogram bins. The resulting histogram is an attempt to balance statistical considerations, such as estimating the underlying density, and "human considerations," such as choosing
