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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
Following is Editor Len Tashman's preview of the new issue of Foresight: The International Journal of Applied Forecasting. Preview of Foresight #62 (2021:Q3) This 62nd issue of Foresight has been heavily “infected” by the COVID pandemic. Stephan Kolassa’s book review of Resurrecting Retail by Doug Stephens raises the question of whether the
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
Our key workers deserve more than just a round of applause — so why do we still expect the people who have the least to pay the most for banking services? To most people, social justice and the banking sector probably seem like strange bedfellows. Over the past couple of
Having the ability to know what the best decision is in any given scenario sounds like a superpower. What may surprise you is that this “superpower” already exists. SAS calls it intelligent decisioning. Decisioning is a powerful tool in the business world. It is useful to both the company and
SAS' Leonid Batkhan reveals how to use versatile iterative DO loops with index variable pertaining to SAS DATA steps.
Assisto Consulting is a management consulting firm delivering analytical and operational solutions for banks and multiple other sectors with a strong focus on financial technology and delivering its tailor-made business solutions. Its partners are all experienced banking professionals with skills in risk management, finance, business development, and marketing, and of