The NC Scholastic Chess Championship is coming up this weekend, and my buddy Michael Thomas asked if I might could create a few graphs to help analyze the event data. How could I pass up an opportunity like that?!?! Read along, and find out what graphs I created, and the
.@philsimon sees these two colliding sooner rather than later.
Suppose you have several discrete variables. You want to conduct a frequency analysis of these variables and print the results, but ONLY for variables that have three or more levels. In other words, you want to conditionally display some results, but you don't know which variables satisfy the condition until
Digitalisation is blasting the cobwebs out from enterprises and organisations of all kinds – freeing them to innovate and take advantage of the always-on economy. But it’s also helping new disruptive players to gain an unexpectedly strong foothold in many markets. One of the key advantages these new players have
To get a high-performing analytics team producing insights that matter, you need great people, powerful software and a culture of experimentation and innovation. Three simple ingredients, but getting there is far from easy. In this post, I’d like to get you thinking about how to organize for success by building
Platform and strategy are core to compliance, but Jim Harris says commitment from people across the organization is just as important and harder to achieve.
After reading my article about how to use BY-group processing to run 1000 regression models, a SAS programmer asked whether it is possible to reorder the output of a BY-group analysis. The answer is yes: you can use the DOCUMENT procedure to replay a portion of your output in any
We like to think of analytics as a logical discipline, where investment decisions are consistently rational and predictable. Not so. Customer organisations are driven by all the usual complex and sometimes contradictory forces. Business users want analytics to help them make good customer facing decisions as quickly as possible, while
The Obama administration made great strides in improving the government’s use of information technology over the past eight years, and now it's up to the Trump administration to expand upon it. Let’s look at five possible Trump administration initiatives that can take government’s use of information technology to the next
There aren’t many things that keep me awake at night but let me share a recent example with you. I’ve been grappling with how to help a local SAS team respond to a customer’s request for a “generic enterprise analytics architecture.” As background, this customer organization had recently embarked on
Word on the proverbial technology street is that online learning is ideal for modern learners, and, at SAS, we wholeheartedly agree. In 2016, more than 80,000 SAS users trained in an online or blended learning format. In 2017, we kicked off the year with the announcement of our new SAS
Editor's note: The following post is from Emma Warrillow, Chief DiGGer at Data Insight Group Inc. (DiG). Emma is a featured speaker at SAS Global Forum 2017 and recently named as one of the Top Women in Direct Marketing by Direct Marketing News. Learn more about Emma. “I need
David Loshin describes three sets of policies required for ensuring compliance with data protection directives for health care.
¿Se ha preguntado de qué manera la inteligencia artificial puede realzar la interacción con sus clientes? Es probable que lo haya hecho de varias maneras y utilizando conceptos similares, con respuestas muy variadas. Por ahora, comencemos por el principio, ¿qué es la inteligencia digital y cómo puede ayudar a su
A common request we receive about SAS Global Certification practice exams is to make them as close as possible to the actual exams so that future test takers get a more accurate feel for the overall exam experience. Good news. Our new practice exams come as close to the “real thing”
.@philsimon raises some chilling questions about the IoT and current threats.
In meinem letzten Beitrag habe ich mich mit Colin Gray vom SAS Analytics-on-Demand-Team über die verschiedenen Optionen unterhalten, die Unternehmen zur Verfügung stehen, wenn sie in Analytics einsteigen – eine davon ist Analytics-as-a-Service. Neben dem technischen Aspekt gilt es, auch den strategischen und organisatorischen zu berücksichtigen. Daher soll es hier
Monte Carlo techniques have many applications, but a primary application is to approximate the probability that some event occurs. The idea is to simulate data from the population and count the proportion of times that the event occurs in the simulated data. For continuous univariate distributions, the probability of an
DevOps is enjoying a lot of attention at the moment, mostly because of its promise to increase software quality at lower cost. DevOps is a hybrid term linking development and operations. It's a philosophy that focuses on improving efficiencies in how we build and deliver software, solutions and the supporting environments.
At its core, data compliance is built on simple foundations. Dylan Jones closes this series by explaining the remaining components of the "4F framework."
Does your data just look like a bunch of dots? Would you like to bring those dots to life so they can tell their story? This example shows how to make some voter-registration dots a bit more lifelike, so you can see what they're saying. You can apply the same
Do you remember the 90s? It seemed like every company and organization had some sort of strategic plan that had “2000” in its title. And they were all going to achieve and exceed these Year 2000 goals … if their systems didn’t crash at 12:00:01 on January 1, 2000! So
Seit 2009 sollen der Gesundheitsfonds und der morbiditätsorientierte Risikostrukturausgleich in der deutschen gesetzlichen Krankenversicherung (GKV) für eine ausgewogenere Verteilung der Einnahmen bei den Kassen sorgen. Ziel ist ein sozialer Ausgleich für unterschiedliche Einkommensstruktur und Krankheitslasten bei den Mitgliedern. Über einen sehr interessanten Nebeneffekt, den dieses regulatorische System ungewollt ausgelöst hat,
To show how they're compliant with regulatory mandates, organizations first need an enterprise data strategy. Joyce Norris-Montanari discusses the issues.
Longtime SAS programmers know that the SAS DATA step and SAS procedures are very tolerant of typographical errors. You can misspell most keywords and SAS will "guess" what you mean. For example, if you mistype "PROC" as "PRC," SAS will run the program but write a warning to the log:
Manufacturers are used to operating in challenging circumstances – whether financial, economic, political or competitive. And it's a good thing since the coming years seem likely to be as uncertain as those following the global economic crash. But manufacturing will have an excellent opportunity to thrive because, like many sectors,
Editor's note: This series of blogs addresses the questions we are most frequently asked at SAS Press! It worth spending some time on this. Arguably, this is one of the most important parts of the book. The table of contents and outline provide the blue print of your book –
Machine learning is a type of artificial intelligence that uses algorithms to iteratively learn from data and finds hidden insights in data without being explicitly programmed where to look or how to find the answer. Here at SAS, we hear questions every day about machine learning: what it is, how it compares to
Das Konzept von Self-Service Analytics wird oft mit innovativen Geschäftsmodellen oder schneller Reaktion auf Kundenanfragen assoziiert. Darüber hinaus kann Self-Service aber auch Mitarbeiter in die Lage versetzen, operative Vorgänge besser und effektiver zu unterstützen. Mit Carsten Krah, Business Expert Risk, Fraud & Compliance bei SAS, habe ich mich darüber unterhalten,
.@philsimon advises to be wary of those promising obvious and facile solutions to increasingly challenging governance and privacy issues.
