Move beyond spreadsheets to data mining, forecasting, optimization – and more
See how intelligent decisioning and machine learning from SAS and Microsoft help a fictitious banking customer simplify and reduce risk in its home loan portfolio.
IDC, Forrester, Deloitte y MCKinsey… si algo tienen en común los informes de todos los analistas es que estamos ad portas de una nueva industria financiera. Se trata de una industria que, con todo lo que ha pasado en estos tiempos de pandemia, ha experimentado una acelerada digitalización y transformación
¿Qué tienen en común una empresa norteamericana que desarrolla la próxima generación de automóviles sin conductor; una fintech que otorga préstamos en Colombia sin historial crediticio y una farmacéutica global que desarrolla un tratamiento para virus como el Covid-19? Los datos. Considerados como el “nuevo petróleo” o el motor del
This post, written by Radhikha Myeni and Jagruti Kanjia, will demonstrate how easy it is to build and deploy a machine learning pipeline by using SAS and Python. The Model Studio platform provides a quick and collaborative way to build complex pipelines by dragging and dropping nodes from a web-based
When people think about sports, many things may come to mind: Screaming fans, the intensity of the game and maybe even the food. Data doesn’t usually make the list. But what people may not realize is that data is behind everything people love about sports. It can help determine how
The rest of society hates bankers’ bonuses—and banks should too. The bonus cycle weakens the business by prioritising short-term profit over sustainable growth. Bankers’ bonuses are a regular target for media outrage, resentment, and calls for reform. Yet what most members of the public don’t realise is that the first
In our last blog we explored the potential impact of missingness in data in terms of its impact on models which require complete case analysis. We took a simple view that data was missing with an equal, independent, probability for any given model input. This week we explore cases where
As a huge road cycling fan, one of my favorite Olympic events is track cycling. With its speed and intensity, it is such a captivating set of events. While some events are sprint-focused and others are more endurance-focused, they all require powerful physical abilities, great bike-handling skills, cunning tactical expertise
Demand management concepts are now over 30 years old. The first use of the term "demand management" surfaced in the commercial sector in the late 1980s and early 1990s. Before that, the focus was on a more siloed approach to demand forecasting and planning that was manual and used simple
SAS System Engineer Sophia Rowland reveals how to embed decision flows into webpages and applications using the Microsoft Power Platform for a better customer experience.
SAS' Ghohui Wu shows you how to construct spatial weights matrices based on contiguity and distance measures, then shows how PROC CSPATIALREG automates spatial regression model selection.
In the previous section of this series we discussed ways of assessing the relationship between variables. This week we change the focus to the shape and sparsity of our dataset. One area of Explanatory Data Analysis which we’ve missed so far is the impact of missingness in data. Having missing
„Ich wusste gar nicht, dass man bei Ihnen einfach so anrufen kann.“
Unstructured text data is ubiquitous in both business and government and extracting value from it at scale is a common challenge. Organizations that have been around for a while often have vast paper archives. Digitizing these archives does not necessarily make them usable for search and analysis, since documents are
A lo largo de 2020, las cadenas de suministro estuvieron bajo gran estrés. La pandemia y los altibajos del entorno económico hicieron que las empresas enfrentaran complicados desafíos para seguir produciendo y satisfacer los nuevos patrones de demanda. Si bien privó la incertidumbre, también fue una oportunidad para que las
Within both the business world and our personal lives, data is becoming increasingly intrinsic to everything we do. Whether it’s picking which restaurant to order from, a tailored advert or figuring out the quickest route home, data is a part of our everyday decision making. For businesses, the value of
El fraude es considerado el principal flagelo del sector asegurador en la actualidad. Un estudio publicado por la Asociación de Certificadores de Fraude de Estados Unidos (ACFE) habla de pérdidas estima las pérdidas anuales por fraude en 3.600 millones de dólares y eso solo tomando en cuenta cerca de 2.500
Economists and forecasters have painted a gloomy picture of the impact of the COVID-19 pandemic on UK society. The impact of lockdowns and travel restrictions on many sectors of the economy was expected to put businesses at risk and pull millions of families into financial hardship. In the energy and
Beloved Dummies: Let’s demystify another #AI-hype today: predictive maintenance. Yet another one of these buzzwords that require batteries of #DataScientists and truckloads of programmers. Let me show you how Dummies like you and me can address this. What is predictive maintenance? So we’re talking maintenance of machinery. Sure, you can
Durante la historia reciente, los gobiernos se han enfrentado a fenómenos económicos que amenazan su estabilidad financiera, creando desempleo y acelerando la urgencia de prestar servicios de apoyo social. Recientemente, una emergencia sanitaria, la de COVID-19, sacudió dicha estabilidad y disparó la demanda de recursos de salud debido a la
If the big banks won’t help when times are tough, customers will turn to smaller, simpler providers. And once they’ve switched, banks will struggle to win them back. I’ve written before about how banks are an essential part of the UK’s social fabric. Our economy depends on the availability of
SAS' Fijoy Vadakkumpadan, a computer vision expert, sheds light on how loadImages works in SAS Viya.
En 2020: empresas en Colombia como Ecopetrol, el Grupo Nutresa, Familia y Cementos Argos fueron seleccionadas como las más innovadoras, según un ranking que elaboraron la Andi (Asociación Nacional de Empresarios) y Semana). ¿Saben cuál es uno de los principales desafíos que tienen todas esas organizaciones? Ser aún más innovadoras. Y es
In my new book, I explain how segmentation and clustering can be accomplished in three ways: coding in SAS, point-and-click in SAS Visual Statistics, and point-and-click in SAS Visual Data Mining and Machine Learning using SAS Model Studio. These three analytical tools allow you to do many diverse types of
Keynote speaker do SAS Telco Summit 2021, Rafael Cavalcanti, superintendente-executivo de data science do Bradesco, contou como a transformação digital tem papel fundamental na entrega de melhores resultados e de uma melhor experiência para o cliente do banco. Ao longo de sua apresentação, o executivo comentou sobre quatro casos em
We need, in other words, to democratise analytics in the true sense of the word, by making them accessible to everyone.
In 2012, Data Scientist was dubbed the sexiest job of the 21st century by Harvard Business Review and it is one of the most in-high demand jobs in the world. Data has become a key part of every organization as technology flourishes. As the world become increasingly digitized, businesses are
Vivemos num mundo cada vez mais digital e trabalhamos, igualmente, em organizações cada vez mais digitais. Isto traduz-se em inúmeras mais-valias que culminam em processos mais rápidos, eficazes e assertivos (e que facilitam efetivamente o dia-a-dia dos colaboradores), mas a verdade é que também coloca as organizações num grau de
There is a growing group of customers who want to use digital channels. They are also prepared to give businesses more information.
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
