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Analytics | Customer Intelligence | Learn SAS | Students & Educators
Alex Coop 0
Hooked on data science: gamification drives engagement among students and trainees

While studying business intelligence as an undergraduate student at business school HEC Montreal, Camille Duchesne encountered Cortex, an analytics simulation that pits participants against each other to develop the most accurate models for a particular task. In this case, the simulation supports a fictional charity by predicting which subjects from

Artificial Intelligence | Risk Management
Colin Bristow 0
How can technology help insurers with the fight against money laundering?

Money laundering is a growing threat within the insurance industry. The regulatory framework within banking is adding stronger controls and governance processes which will encourage launderers to seek alternative areas to launder funds. While insurance presents a different type of Anti-Money Laundering (AML) risk, the risks still exist. Long considered

Work & Life at SAS
Lisa Allred 0
Why Willpower Fails Me

This blog post was originally published in November of 2018.  I have continued to learn about motivating behavior change and would even consider myself an expert at this point (4 years later).  Using social emotions to motivate change is still my strongest and most successful strategy so I am sharing

Analytics | Artificial Intelligence
Caslee Sims 0
Behind the scenes of the SAS Hackathon: Why being a mentor is a win-win for everyone

During the SAS Hackathon, teams and mentors collaborate to find solutions to specific challenges. The hackathon is a win-win situation for all participants, from idea generation to the development of new technologies or solutions. The SAS Hackathon encourages developers to collaborate on practical ideas and offers employees the chance to

Analytics | Programming Tips
Rick Wicklin 0
Finite-difference derivatives of vector-valued functions

I previously showed how to use SAS to compute finite-difference derivatives for smooth scalar-valued functions of several variables. You can use the NLPFDD subroutine in SAS/IML software to approximate the gradient vector (first derivatives) and the Hessian matrix (second derivatives). The computation uses finite-difference derivatives to approximate the derivatives. The

Analytics | Programming Tips
Rick Wicklin 0
Finite-difference derivatives in SAS

Many applications in mathematics and statistics require the numerical computation of the derivatives of smooth multivariate functions. For simple algebraic and trigonometric functions, you often can write down expressions for the first and second partial derivatives. However, for complicated functions, the formulas can get unwieldy (and some applications do not

Advanced Analytics | Analytics | Data Management
Lindsay Hart 0
"Hack the Case" competition challenges students to solve real business analytics problems

"Exhausting, but exhilarating," said participants in Hack the Case – a unique, 10-day competition hosted by Ivey Business School, SAS, Deloitte and Scotiabank, with the assistance of the Centre for Advanced Computing, Queen’s University. Students from Ivey Business School’s Master of Science (MSc) in Management, Business Analytics start with a

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