A colleague jokingly teases me whenever I write a blog that demonstrates how to write fun and exciting programs by using SAS software. "Why do you get to have all the fun?" he mock-chides. Today I'm ready to face his ribbing, because this article is about Conway's Game of Life
With Amazon Prime's 2-day shipping, I seldom go to physical stores any more. How do they deliver items so quickly? Let's analyze some data to find out... There are very few services/memberships that I truly feel like I'm getting "a good deal" for my money - and Amazon Prime is
Hello, 1992 called. They want their DDE Excel automation back. Perhaps the title of this article is too pessimistic. Of course your SAS programs that use DDE (dynamic data exchange) can still work perfectly, as long as you situate your SAS software and its DDE "partner" (usually Microsoft Excel) to
This post is a nod to one of my favourite plays, The Importance of Being Earnest by Oscar Wilde. As the title ‘Data Scientist’ becomes more common, what can we gain about the importance of titles and labelling from this century old play? For those that haven't read it, the
➤ DISCLOSURE! In June 2018 Google introduced changes to the way it handles its Maps platform. They now require API key in order to embed a map, plus Google Maps "projects" must now be associated with a billing account. Unless these new Google rules are met, Google maps described in
The tail of a probability distribution is an important notion in probability and statistics, but did you know that there is not a rigorous definition for the "tail"? The term is primarily used intuitively to mean the part of a distribution that is far from the distribution's peak or center.
SAS Enterprise Guide 7.1 began shipping last week. Of the many new features, some are "biggies" while others are more subtle. My favorite new features are those for SAS programmers, including several items that I've heard customers ask for specifically. I'll describe them briefly here; the SAS Enterprise Guide online
The rise of analytics and big data presents a once-in-a-generation opportunity for organisations to put themselves at the cutting edge, to create a competitive advantage by developing a culture of analytical success within their organisation. Yet most seem unable to grasp the opportunity that is within their reach. Eric Hoffer
I’ve written about using text analytics to capture comprehend and act on the voice of the customer on this blog before. Recently, I recorded a short presentation that outlines how text analytics provides insight from all of the customer experience data that you collect, not just review data from social
After attending the SAS Day at Texas A&M University on Oct. 2, I came away with a new perspective on some of the different educational offerings to help fill the analytic talent gap (which according to studies and research continues to grow). In essence, there is a yin and yang of
The only thing that’s constant is change. The continual cycle of computing changes leads to common questions about the effects of these changes—operating systems are getting upgraded, customers are moving to new SAS clients, upgrading to new releases of SAS, working with new Java and browser versions. All of these
What age women do men prefer on dating websites? - Let's have a look at the data... When I first started using computers in the early 80s, I thought it would be great to have everyone take a survey, and then let computers show you who your best matches were.
It usually takes more than three weeks to prepare a good impromptu speech. --Mark Twain In the popular Cryptoquote puzzle, you are presented with an enciphered version of a quote by a famous person. One of the appeals of the puzzle for me is reading the deciphered quote, such
On Thursday, October 30, 11 am ET, Aris Syntetos delivers the next installment of the Foresight/SAS Webinar Series, "Forecasting by Temporal Aggregation." Based on his article in the Summer 2014 issue of Foresight, Aris provided this preview: When we attempt to improve forecast performance we usually consider new or alternative forecasting
Today’s self-parking cars are a marvel, but that’s nothing compared to what’s just around the corner: Autonomous vehicles that can taxi you efficiently around a city, onboard navigation systems that warn of bad drivers or traffic jams nearby and offer safer, quicker alternative routes; trucks that haul commerce safely and
In previous posts, we’ve shared the importance of understanding the fundamentals of Kerberos authentication and how we can simplify processes by placing SAS and Hadoop in the same realm. For SAS applications to interact with a secure Hadoop environment, we must address the third key practice: Ensure Kerberos prerequisites are met
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
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
Next week I will be presenting at the Cornell Hospitality Research Summit on big data and revenue management. In preparation for the Summit, I have recorded a short presentation that outlines how big data can help augment revenue management. Alex Dietz talks about how big data can help revenue management.
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
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
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
When SAS is used for analysis on large volumes of data (in the gigabytes), SAS reads and writes the data using large block sequential IO. To gain the optimal performance from the hardware when doing these IOs, we strongly suggest that you review the information below to ensure that the
Since my opening blog post about our new partnership with British Rowing and the GB Rowing Team, I’ve had a deep dive into their data, and we’re now close to our first key milestone – having all the data about a rower in a single location, so we can then
Artificial sweeteners have been a controversial topic since they came into the market decades ago. There has been an ongoing debate over the potential health benefits and risks of artificial sweeteners, which are among the most common food additives and are consumed by hundreds of millions of people around the
SAS/IML 13.1 includes a handy function for programmers who write a lot of modules. The PARENTNAME function obtains the name of the symbol that was passed in as a parameter to a user-defined module. How is this useful? Well, suppose that you want to create a SAS/IML module that prints
SAS has been developing "secret sauce" technology for more than 38 years. Whether it has to do with being platform independent, processing in-database, running across a grid, or analyzing data in-memory like our SAS LASR Analytic Server or our High Performance Analytics offerings, secret sauce makes everything taste or, in
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
At most banks, data is stored in separate databases and data warehouses. Customer data is stored in marketing databases, fraud analyses are done on transactional data, and risk data is stored in risk data warehouses. Oftentimes even liquidity, credit, market, and operational risk data is stored separately as well. Bringing
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
