[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
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
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
Já não há mais dúvidas. As organizações estão migrando para a nuvem, seja para otimizar o TCO, seja para ter mais agilidade para alcançar seus objetivos de negócios. Afinal, contar com infraestrutura, software e serviços na nuvem oferece a flexibilidade e o poder de processamento necessários para o sucesso dos
SAS Analytics Pro consists of three core elements of the SAS system: Base SAS®, SAS/GRAPH® and SAS/STAT®. The containerized deployment option adds the full selection of SAS/ACCESS engines making it even easier to work with data from virtually any source.
Nilton Mayrink, CIO e head de vendas B2B/BSC no Martins Atacadista, iniciou sua apresentação no SAS Retail Summit 2021 trazendo uma contextualização dos desafios do setor varejista no País. Responsável pela área de tecnologia e vendas digitais da empresa, o especialista trouxe dados relevantes relacionados à dimensão do Brasil no
SAS' Rajesh Selukar introduces you to a new scoring feature.
Have you ever submitted a stored process, and instead of the expected output, you saw errors or no output at all? Depending on how you submit the stored process, various logs are available to assist you with debugging. This article provides guidance for understanding which situations call for which logs, where to find each log, and what you should look for in each log.
Leonid Batkhan introduces multipurpose TRIMS function that removes any leading, trailing or both leading and trailing characters from SAS strings.
Have you ever thought of a sweet potato as ugly? These tuberous, root vegetables are a holiday staple, but the sweet potato industry prefers a certain size, shape and weight for them to make it to your grocery store. Many farmers even leave the potatoes deemed “ugly” in the fields,
Generative adversarial networks (GANs) are one of the newer machine learning algorithms that data scientists are tapping into. When I first heard it, I wondered how can networks be adversarial? I envisioned networks with swords drawn going at it. Close… but I can assure you that no networks were harmed in the making of this article.
Desde hace algún tiempo venimos escuchando que los datos son la nueva moneda de cambio. El nuevo oro, dicen muchos. En un mundo cada vez más digital e informado como el que tenemos esta afirmación en realidad se queda corta: son el oxígeno que nos permite pensar y movernos en
Early in the pandemic, we used this blog to offer resources for responding to COVID-19, recovering from the economic losses, and reimagining life after the pandemic. By now, everyone has read about testing, contact tracing, social distancing, treatment protocols and vaccines. Whether or not you have had COVID yourself, all
Word embeddings are the learned representations of words within a set of documents. Each word or term is represented as a real-valued vector within a vector space. Terms or words that reside closer to each other within that vector space are expected to share similar meanings. Thus, embeddings try to capture the meaning of each word or term through its relationships with the other words in the corpus.
I previously wrote about one way to solve the partition problem in SAS. In the partition problem, you divide (or partition) a set of N items into two groups of size k and N-k such that the sum of the items' weights is the same in each group. For example,
모든 것이 빠르게 변화하는 디지털 트랜스포메이션 시대에 신속하고 유연하게 대응할 수 있는 기업 역량을 갖추는 것은 성공적인 비즈니스의 필수 요소가 되었습니다. 비즈니스 신속성과 유연성을 갖추기 위해서는 데이터 기반의 의사결정이 핵심인데요. 모든 산업 분야에서 변화의 중심에 있는 다양하고 복잡한 데이터를 분석하고 새로운 가치를 만들어내는 것은 더 이상 IT팀만의 업무는 아닙니다. 기존의
SAS' Xilong Chen introduces the new DEEPCAUSAL procedure in SAS Econometrics for causal inference and policy evaluation and much more.
Technological advancements in connectivity and global positioning systems (GPS) have led to increased data tracking and related business use cases to analyze such movements. Whether analyzing a vehicle, an animal or a population's movements - each use case requires analyzing underlying spatial information. Global challenges such as virus outbreaks, deforestation
This virus is very scary and it changes constantly. So when you let a virus like that infect millions and millions of people, it's going to make all of those mistakes in copying itself over and over again. - Meghan Schaeffer, Epidemiologist, SAS Meghan Schaeffer, EdD, MPH, MPA, is a
세계 최대의 분석 컨퍼런스 ‘SAS Global Forum 2021’이 지난 5월, 온라인으로 개최됐습니다. 하이라이트 국문 영상으로도 보실 수 있도록 준비되어 다시 한 번 블로그를 통해 내용들을 정리해 소개해 드립니다. 이번 SAS 글로벌 포럼에서는 마이크로소프트와의 전략적 제휴에 이어, 아마존웹서비스(AWS)와 구글 클라우드에서도 데이터 분석을 지원한다고 밝혔고, 올해 말에는 레드햇 오픈시프트 지원도 계획하고 있다고
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
In our previous section of the series we discussed the impact of missingness and techniques to address this. In this final section of the series we look at how we can use drag-and-drop tools to accelerate our EDA. As mentioned at the beginning of this series, SAS Viya offers multiple
SAS and Microsoft are working tirelessly to improve offerings and connectivity between SAS Viya and Microsoft Azure environments across industries.
In Part I of this blog post, I provided an overview of the approach my team and I took tackling the problem of classifying diverse, messy documents at scale. I shared the details of how we chose to preprocess the data and how we created features from documents of interest
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.
Just over a year ago, SAS and Microsoft announced their strategic partnership. Since then we have been working together to provide the best experience and value to our customers as they migrate to the cloud. Here are six milestones you should know about; each highlights the early success of the two industry giants. The start of
Curious about what it’s like to work at SAS? You’re in the right place. Our people are always asking, “What if?” and pushing the boundaries of innovation, and their curiosity is at the core of our company. Today, Lenny Goldman, Sr. Strategic Account Executive in Sales, is sharing his passion for serving our customers and how his
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.
I'm excited to curate a series of posts focused on CAS Actions. However, before I dive into details and code, I thought I'd take a moment to lay a foundation for a better understanding of CAS and CAS actions. I'll cover things here at a high level as there's quite
I'm excited to bring a series of posts centered on CAS Actions. The topics in the list below will be covered in posts set to publish in the next few weeks. Please check back often for new releases. CAS Actions and Action Sets - a brief intro - Introduction to the
