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
In an episode of The Health Pulse hosted by Greg Horne, we learn about Dawnté Early, PhD, whose idea and mission is to transform the mental health system so that everyone who needs care receives high-quality and culturally competent care. Early's work focuses on bringing together individual mental health data
SAS는 마이크로소프트에 이어 아마존, 구글, 레드햇 등 파트너십을 확대하고 있으며, 50여 IoT기술 기업과 협력하고 있습니다. SAS 브라이언 해리스 CTO는 이번 SAS 글로벌 포럼에서 SAS가 파트너십을 확장하는 이유, 그로 인해 고객이 누리게 될 혜택을 간단히 소개했습니다. 마이크로소프트, 아마존, 구글, 레드햇 지원 변화는 리스크가 아닙니다. 오랜 시간이나 엄청난 비용이 드는 것도 아닙니다.
A statistical programmer asked how to simulate event-trials data for groups. The subjects in each group have a different probability of experiencing the event. This article describes one way to simulate this scenario. The simulation is similar to simulating from a mixture distribution. This article also shows three different ways
The need for agile, accurate demand planning has never been greater. When considering migrating your demand management application to a cloud-native solution, you might experience platform management challenges ranging from lacking the resources needed to oversee application operations, to manipulating maintenance tasks that may distract from growing the business. Why
뉴노멀 시대에서는 데이터의 복잡성, 다양성, 규모가 극적으로 증가합니다. 분석 에코시스템은 그 어느 때보다 거대하며, 훨씬 복잡해졌습니다. SAS 브라이언 해리스 CTO는 이번 SAS 글로벌 포럼에서 이 같은 새로운 변화에 맞서는 SAS의 노력을 소개했습니다. 2021년의 화두는 ‘한 발 앞선 행동과 뉴노멀 시대에서의 번영’입니다. 이미 많은 기업이 시장의 기대에 부응하기 위해 적응하며 비즈니스
Jim Harris takes a deep dive into data lakes and how they relate to the cloud.
Catching up to the consumers Using technology and analytics to support marketing is not especially new. It is fair to say that it has been possible for some time. Many organisations have invested in marketing platforms, for example. However, there is a niggling problem. The investment may have been made, but few marketers are
SAS' Xilong Chen introduces the new DEEPCAUSAL procedure in SAS Econometrics for causal inference and policy evaluation and much more.
A colleague spent a lot of time creating a panel of graphs to summarize some data. She did not use SAS software to create the graph, but I used SAS to create a simplified version of her graph, which is shown to the right. (The colors are from her graph.)
A colleague spent a lot of time creating a panel of graphs to summarize some data. She did not use SAS software to create the graph, but I used SAS to create a simplified version of her graph, which is shown to the right. (The colors are from her graph.)
싱가포르에 본사를 둔 ADDO AI사는 인공 지능으로 세계를 변화시키고 있는 기술 기업으로, 세계 유수의 기업을 고객으로 두고 있는 있습니다. 이 회사의 공동 설립자 겸 대표 아예사 칸나(Ayesha Khanna)가 지난 SAS 글로벌 포럼에서 실제 기업의 사례를 중심으로 AI 트렌드를 소개하며, AI를 이용하여 경쟁에 앞서갈 수 있는 방법을 소개했습니다. 기계는 우리를 어떻게
펜실베니아대학교 와튼스쿨 교수이자 조직심리학자, 저자인 애덤 그랜트(Adam Grant)는 싱크 어게인이 필요한 이유, 과학자처럼 생각하기, 겸손한 자신감, 가면증후군적 경향을 강점으로 바꾸는 방법, 배움 네트워크 구축 방법, 다시 생각하기와 다시 학습하기를 실천에 옮기는 방법, 직장 내 정신적 안전, 멘탈 피트니스 등 다채로운 주제로 SAS 글로벌 포럼에서 발표했습니다. 그 중 일부를 소개합니다.
Many cities have Open Data pages. But once you download the data, what can you do with it? This is my sixth in a series of blog posts where I download public data about Cary, NC, and demonstrate how you might analyze that type of data (for Cary, or any
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
Plant control is key for manufacturers to run their operations. Since the advent of computers, process industries have witnessed the impact of new technologies in terms of safety, stability and resiliency. Here is a five-decade overview of those technologies: 1950s: Electromechanical systems set the basis of modern process control by
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
The number of possible bootstrap samples for a sample of size N is big. Really big. Recall that the bootstrap method is a powerful way to analyze the variation in a statistic. To implement the standard bootstrap method, you generate B random bootstrap samples. A bootstrap sample is a sample
Many cities have Open Data pages. But once you download the data, what can you do with it? This is my fifth in a series of blog posts where I download public data about Cary, NC, and demonstrate how you might analyze that type of data (for Cary, or any
You can use the bootstrap method to estimate confidence intervals. Unlike formulas, which assume that the data are drawn from a specified distribution (usually the normal distribution), the bootstrap method does not assume a distribution for the data. There are many articles about how to use SAS to bootstrap statistics
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
For graphing multivariate data, it is important to be able to convert the data between "wide form" (a separate column for each variable) and "long form" (which contains an indicator variable that assigns a group to each observation). If the data are numeric, the wide data can be represented as
During lockdowns across Europe and beyond, we all moved our lives online. We worked remotely and had meetings via Teams or Zoom. We also socialised and shopped online. For many people, this was familiar territory. For others, it opened up a whole new world—and highlighted significant problems with the ‘old
Curious about how the COVID-19 vaccine has impacted the world around you? This SAS Viya powered data visualization shows information related to the COVID-19 vaccination efforts in the United States. Here's what you can learn from this dashboard. Percentage of vaccinated Americans In August 2021, the CDC reported that over 50% of
Many cities have Open Data pages. But once you download the data, what can you do with it? This is my fourth in a series of blog posts where I download public data about Cary, NC, and demonstrate how you might analyze that type of data (for Cary, or any
This article shows how to create a "sliced survival plot" for proportional-hazards models that are created by using PROC PHREG in SAS. Graphing the result of a statistical regression model is a valuable way to communicate the predictions of the model. Many SAS procedures use ODS graphics to produce graphs
Reasoning frameworks of artificial intelligence used in criminal justice and health care systems move us to rethink how AI can be constructed to help foster an equitable society. We interact daily with algorithms that over time predict and inform our actions. Spam filters in e-mail and real-time mapping technologies on
I’ve worked with expectant moms for a quarter century. I can spot a new mom-to-be from a mile away. There is a lot of wonderment with new mommies. They have lots of questions and are unsure if they are doing everything right, fear what they identify as shortcomings and put
Many cities have Open Data pages. But once you download the data, what can you do with it? This is my third in a series of blog posts where I download several datasets from Cary, NC's open data page, and give you a few ideas to get you started on
