All Posts
There have been some rather hysterical headlines in the UK recently about immigration. Eyebrow-raising statements alluding to the Home Office (the government department responsible for immigration) losing thousands of asylum seekers illustrate that efforts to trace them are placing huge pressure on resources. This, and the more outward looking post-Brexit
A previous post, Spatial econometric modeling using PROC SPATIALREG, introduced the SAS/ETS® SPATIALREG procedure and demonstrated its usage to fit both linear and SAR models by using 2013 county-level home value data in North Carolina. In most analysis for spatial econometrics, you rarely know the true model from which your data
El fraude en materia fiscal es bastante común, y los defraudadores son cada vez más sofisticados y automatizados que nunca. Con el fin de detectar oportunamente el fraude y proteger los ingresos, las agencias tributarias necesitan utilizar y aprovechar la analítica predictiva más avanzada. Actualmente las agencias tributarias, aquellos organismos
Omnichannel Analytics are helping companies uncover patterns in big data to improve the customer experience. Using those insights, companies can anticipate what consumers are planning to purchase and influence that purchase in real time. Companies are experiencing unprecedented complexity as they look for growth and market opportunities. Their product portfolios are
Like getting into good shape, Jim Harris says we must carefully measure adherence to regulatory compliance – using both internal and external measures.
Have you been working your butt off in the gym and not seeing results? Or maybe you’ve tried a new exercise you found on YouTube and ended up injured, even though you did it “just like that guy” did? Chances are you have fallen for some of the mainstream health
SAS programmers who have experience with other programming languages sometimes wonder whether the SAS language supports statements that are equivalent to the "break" and "continue" statements in other languages. The answer is yes. The LEAVE statement in the SAS DATA step is equivalent to the "break" statement. It provides a
Image recognition is a hot and hyped topic in machine learning, artificial intelligence and other technology circles. Computer vision technology is essential for realizing advancements like driverless cars, face recognition, medical outcomes predictions, and a host of other breakthrough innovations. Amidst the hype, organizations large and small are trying to understand the
This post is from SAS Author Sanjay Matange. It's part of our SAS Author Tips series. Do you have a complex multi-cell graph created in ODS Graphics Designer that you’d like to reuse with different data? Ideally, you’d like to change the data without having to change the plots in each cell. The
Every where you turn today, you run into analytics. If you talk about big data, you will talk about analytics, if you talk about the internet of things (IoT), you will talk about analytics, if you talk about automation ... well, you get the picture. When used properly, analytics has always
My high school basketball coach started preparing us for the tournaments in the season’s first practice. He talked about the “long haul” of tournament basketball, and geared our strategies toward a successful run at the end of the season. I thought about the “long haul” when considering my brackets for
The real questions revolve around approaches to ESP system implementations, predictive models and quality of information being streamed, says David Loshin.
It is time for Pi Day, 2017! Every year on March 14th (written 3/14 in the US), geeky mathematicians and their friends celebrate "all things pi-related" because 3.14 is the three-decimal approximation to pi. This year I use SAS software to show an amazing fact: you can find your birthday
For many years, we’ve been saying that to do advanced analytics well, you must have good quality, clean and standardised data. And now we’re fast approaching the deadline for businesses to be compliant with the GDPR regulations (with fines for noncompliance up to four per cent of revenue). SAS’ capabilities
Ensemble models have been used extensively in credit scoring applications and other areas because they are considered to be more stable and, more importantly, predict better than single classifiers (see Lessmann et al., 2015). They are also known to reduce model bias and variance (Myoung - Jong et al., 2006;