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The process changes that are taking place in the insurance world are massive. More and more insurance companies allow for remote sales of life products and entire sales processes have been simplified for the benefit of the customer. However, opportunities for abuse arose with them as well. A simpler process
[Editor's note: this post was co-authored by Marinela Profi and Wilbram Hazejager] Data science teams are multidisciplinary, each with different skills and technologies of choice. Some of them use SAS, others may have analytical assets already built in Python or R. Let's just say each team is unique. As part
"According to Gartner, “over 50% of senior marketing leaders are unimpressed with the results they receive from marketing analytics investments” – yet most companies expect to increase these investments over the next few years. How can we avoid throwing good money after bad?" By Oliver Sheerin, Senior Customer Intelligence Advisor,
Recall that the binomial distribution is the distribution of the number of successes in a set of independent Bernoulli trials, each having the same probability of success. Most introductory statistics textbooks discuss the approximation of the binomial distribution by the normal distribution. The graph to the right shows that the
En varios de los países latinoamericanos, los gobiernos nacionales y departamentales han venido presentando diversas agencias analíticas y nuevos centros de monitoreo especializados en estas últimas semanas. Esta es una muestra más de cómo lo ocurrido en este último tiempo ha hecho que se tenga mucho más presente la inteligencia
Uma das profissões mais cobiçadas e bem remuneradas atualmente é a de Cientista de Dados. Grandes empresas de telecomunicações, instituições financeiras e redes de varejo estão formando times com estes profissionais, e o movimento não é restrito às grandes corporações. Empresas médias também estão sedentas em busca de cientista de
At SAS, we have a multidimensional culture that blends our different backgrounds, experiences, and perspectives from employees in nearly 60 countries around the world. Our mission is to infuse diversity, equity, and inclusion into everything we do. At SAS, we are focused on increasing the diversity of our own workforce at all
In my previous article, “The Vital Ingredients of Responsible AI,” I described the principles that underpin the need to develop AI systems that factor in the human factor, and not only contribute to business outcomes but also protect individuals, society and the environment. While it’s difficult to argue with those
Think about what a modern implementation of SAS looks like for a customer. Programmers rely on robust environments to run the models and programs that answer business questions. These environments can be different for platforms like SAS® 9 and SAS® Viya®. They can be deployed across distributed servers, either on
A SAS programmer asked whether it is possible to add reference lines to the categorical axis of a bar chart. The answer is yes. You can use the VBAR statement, but I prefer to use the VBARBASIC (or VBARPARM) statement, which enables you to overlay a wide variety of graphs
In my previous article, “The Business Imperative for Responsible AI," I covered the main business drivers for responsible AI. Beyond the greater good and social responsibility, responsible AI is emerging as a key factor for successful AI adoption. In this article, I will describe the main ingredients of responsible AI:
“What’s our plan if we get hit by a big flood?” While this question may be plenty familiar to emergency management professionals, city administrators, legislators, and other leaders in coastal regions that are known for their exposure to potentially disastrous weather events, these days it’s being asked in some unexpected
Industries including sports and entertainment, travel, manufacturing, education and government benefit from analytical insights In the United States and other parts of the world, there are signs. Record automobile traffic. Surging demand for workers. And a continued push to vaccinate. The pandemic and its effects are still very much with
There are times when it is useful to simulate data. One of the reasons I use simulated data sets is to demonstrate statistical techniques such as multiple or logistic regression. By using SAS random functions and some DATA step logic, you can create variables that follow certain distributions or are
Some businesses overlook alternative data. That's probably a mistake.