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There is a growing group of customers who want to use digital channels. They are also prepared to give businesses more information.
Las aseguradoras afrontan desde hace tiempo una continua batalla contra diferentes tipos de fraude. Fraude en los siniestros, fraude en la suscripción de póliza, ciberataques, fraude interno, etc. En Estados Unidos, un estudio de la Coalition Against Insurance Fraud lo estima en un total de 80.000 millones de dólares. El
Who's to say that 'north' should always be at the top of a map? Perhaps in certain situations, you might want 'south' (or some other direction) to be at the top. Perhaps you're one of our crazy Australian customers who looks at the world a little differently. Well, whatever the
If you’ve ever traveled, you know the excitement of getting to explore a whole new place. After a year of quarantine, people are desperate for that feeling again. As Covid-19 restrictions lift, travel companies need to be prepared for the substantial amount of customer data that will become available. With
If you can’t go more than a few days (or maybe even a few hours) without hearing the words “There’s nothing to eat” or “What else is there to eat?” chances are you live with a teenager. Between their increased energy needs during growth spurts and variations in day-to-day schedules,
In a previous article, I discussed various ways to solve a least-square linear regression model. I discussed the SWEEP operator (used by many SAS regression routines), the LU-based methods (SOLVE and INV in SAS/IML), and the QR decomposition (CALL QR in SAS/IML). Each method computes the estimates for the regression
Es evidente que las empresas de las telecomunicaciones operan hoy en un entorno complicado que las obliga a tomar decisiones estratégicas importantes que van a definir su negocio en el futuro. Específicamente, son cuatro los factores que influyen en dicho contexto y que tienen un peso significativo en el momento
Understanding the problem Working with character data of different encodings across different systems can occasionally result in failures to translate or transcode that data from its source format to a destination format. When using a SAS/ACCESS LIBNAME engine to query DBMS data, this scenario can end up causing errors when
In computational statistics, there are often several ways to solve the same problem. For example, there are many ways to solve for the least-squares solution of a linear regression model. A SAS programmer recently mentioned that some open-source software uses the QR algorithm to solve least-squares regression problems and asked
How do I stack up in terms of digital maturity against my manufacturing peers? This is a question that I have been asked many times. The fear of missing out creates unbearable pain. Trade wars and the COVID-19 pandemic exposed some of the manufacturing wounds: tight margins, supply chain risks,
I hope you're all doing well, in this year of plagues and locusts! I'm sure I don't even need to mention which plague I'm talking about. But what about the locusts? Are you up on your entomological studies? Follow along, and see if you really know what locusts are... Locusts
One of the lesser-known effects of COVID-19 has been on analytical risk models. Around the world, the pandemic has created a new reality. The situation became so unpredictable that financial institutions’ risk models lost their ability to make accurate predictions. Past performance, it turned out, was very definitely not a
Foot pain, no matter what you like to do for exercise, is a super bummer and, when you head to a medical professional to get it checked out, the answer is often the dreaded "stop exercising." Foot pain can often be prevented with regular “maintenance”. Always warm up and cool
In general, it is hard to simulate multivariate data that has a specified correlation structure. Copulas make that task easier for continuous distributions. A previous article presented the geometry behind a copula and explained copulas in an intuitive way. Although I strongly believe that statistical practitioners should be familiar with
This is the second post in a series covering parallel processing in SAS Viya. The first post served as an introduction to parallel processing. It covered parallel processing uses in data science and the SAS Viya products that facilitate it. There are countless opportunities for using parallel processing within data