Hippocrates once said, “Let food be thy medicine.” For food vendors, this advice could be communicated another way: Stock more fresh fruit, protein and vegetables. The periphery of the grocery store has led in the expansion of revenues – namely within produce, but also spanning seafood, bakery products and ready-to-eat
A recent article about how to estimate a two-dimensional distribution function in SAS inspired me to think about a related computation: a 2-D cumulative sum. Suppose you have numbers in a matrix, X. A 2-D cumulative sum is a second matrix, C, such that the C[p,q] gives the sum of
“We live in disruptive times… where the only constant is a change” – this statement seems very accurate to the situation we face today. The funny thing is that this is a quote from an ancient philosopher Heraclitus of Efez, who had said it almost 2500 years ago! The “new
This is part two of a two-part series on digital transformation for manufacturers, where we explore the real risk of not digitally transforming and the journey that manufacturers are undertaking to capitalize on the opportunity to increase revenue, profit, and operational effectiveness. You can read more in my first blog
"Wem die Daten gehören, ist die falsche Frage. Wer die Daten zu welchem Zweck nutzen darf, wäre doch richtiger."
In a world increasingly characterized by digital economies and disruption, every market disturbance exponentially widens the business agility gap between the less digitally evolved and those companies that have demonstrated innovation leadership through digital transformation. For those that are not transforming with urgency, the negative consequences will become compounded to
SAS System Engineer Sophia Rowland reveals how to embed decision flows into webpages and applications using APIs for a better customer experience.
Over the past year, it’s become normal for me to order my groceries online, make telehealth appointments for my family and attend dozens of virtual meetings every week. And I am not alone. Last year not only brought an increase in the use of digital technologies. It also brought with
This article shows how to estimate and visualize a two-dimensional cumulative distribution function (CDF) in SAS. SAS has built-in support for this computation. Although the bivariate CDF is not used as much as the univariate CDF, the bivariate version is still a useful tool in understanding the probable values of
Vivimos una crisis sin precedentes en nuestra historia. A causa del COVID-19, numerosos países han impuesto diferentes medidas de cuarentena y restricciones a la vida social y económica. La salud es la prioridad , pero se han puesto en marcha múltiples ayudas con objeto de paliar la inmediata crisis económica.
The computer vision team was recently presented with the following challenge concerning image matching performance. An insurance company has the capability to submit claims and supporting materials digitally via an online interface. They need, however, to be able to detect when images already used in previous claims have been resubmitted
Damit Innovation in Disruption umbenannt werden kann, braucht es erst mal ein gutes Ohr für das noch theoretische Vorhaben.
This article uses simulation to demonstrate the fact that any continuous distribution can be transformed into the uniform distribution on (0,1). The function that performs this transformation is a familiar one: it is the cumulative distribution function (CDF). A continuous CDF is defined as an integral, so the transformation is
One of my areas of focus is mental health and I have a personal/professional commitment to normalizing seeking resources for support. It makes sense for me to write a post on mental health resources for PRIDE month. It makes sense given that LGBTQ+ individuals experience a higher rate of mental
一、可能有的狀況 錯誤訊息: [Error] Failed to transcode data from utf-16le to wlatin1 encoding because it contained characters which are not supported by your SAS session encoding. Please review your encoding= and locale= SAS system options to ensure that they can accommodate the data that you want to process. 資料匯入後都是亂碼 二、造成原因 資料與電腦環境的編碼不同，便可能造成使用者資料匯入後無法使用
International Symposium on Forecasting (virtual, June 27 - July 2) The 41st International Symposium on Forecasting will be virtual again this year, and begins Sunday June 27. SAS will have a huge presence -- as event sponsor, sponsor of the IIF/SAS Research Grants, and with 19 individual presentations. ISF registration
A SAS programmer noticed that his SAS output was not displaying multiple blanks in his strings. He had some strings with leading blanks, others with trailing blanks, and others with multiple blanks in the middle. Yet, every time he used SAS to print the strings to the HTML destination, something
Avec la crise sanitaire, le monde du retail s’est profondément transformé. Comment s’adapter aux changements et comment anticiper le retour à la normale ? Et surtout, quelle sera cette nouvelle normalité ? Les contraintes et restrictions qui accompagnent la crise sanitaire ont eu divers impacts sur la consommation, dont une
시각화 분석을 위해서는 빅데이터를 활용할 수 있어야 하며, 시각화 및 고급 분석, 셀프 서비스, 리포팅 기능을 갖춰야 합니다. 아울러 데이터 핸들링, 분석, 리포트 생성에 이르는 전 과정에서 인사이트를 확보하고자 하는 모든 이들이 자유롭게 사용할 수 있어야 합니다. SAS AI 기반의 시각화 솔루션은 완전 초보자도 자동 추천과 자동 예측 기능을 사용하여
Small and midsize (SMB) manufacturers are critical drivers of innovation and productivity, and agility often gives them a competitive advantage over larger organizations. But they have unique challenges compared to larger manufacturers who have the resources and capital to achieve greater economies of scale. To take advantage of their agility,
Having earned the Eagle Scout rank in Boy Scouts, I am of course very conservation-minded, and against polluting. I'm also an avid boat paddler and fisherman, and therefore I'm especially concerned about pollution in our rivers, lakes, and oceans. I even volunteered for a week to help survey coral reefs
Learn how a computer vision application makes it safer, post-pandemic, for employees to return to factories.
최근 화두가 되는 빅데이터와 머신 러닝은 예측 모델의 성능을 올리기 위한 방안으로 시작된 것입니다. SAS VDMML(Visual Data Mining and Machine Learning)은 예측 모델 개발 시 텍스트 데이터를 이용하여 모델의 성능을 높여주는 텍스트 분석 툴로, 비즈니스 사용자와 데이터 사이언티스트, 예측 모델 개발자 모두가 활용할 수 있습니다. 텍스트 분석은 자연어 처리 과정이
Red light therapy (RLT) is pretty amazing! Although it may seem like a new technology in recent years due to more mainstream articles, it’s not. I’ve been using it for a couple of years and have found it beneficial on many levels. Over 25 years ago astronauts discovered that red
A previous article showed how to simulate multivariate correlated data by using the Iman-Conover transformation (Iman and Conover, 1982). The transformation preserves the marginal distributions of the original data but permutes the values (columnwise) to induce a new correlation among the variables. When I first read about the Iman-Conover transformation,
최근 마케팅에서 가장 중요한 이슈는 AI와 디지털, 고객 여정입니다. 이 모든 것은 ‘개인화 마케팅을 통한 고객 경험의 최적화’라는 마케팅의 궁극적 목표와 맞닿아 있습니다. 고객 경험 최적화를 위한 SAS의 전략과 솔루션을 소개합니다. 고객 여정 최적화를 위한 SAS의 비전과 로드맵 SAS의 비즈니스 솔루션인 SAS Customer Intelligence 360는 전사적인 마케팅 플랫폼입니다. 2004년 SAS
Simulating univariate data is relatively easy. Simulating multivariate data is much harder. The main difficulty is to generate variables that have given univariate distributions but also are correlated with each other according to a specified correlation matrix. However, Iman and Conover (1982, "A distribution-free approach to inducing rank correlation among
모든 비즈니스 영역으로 확대되는 텍스트 분석 그동안 소셜 미디어 분석에 국한되었던 텍스트 분석은 이제, 콜센터, 마케팅, 품질 영역으로 확장은 물론 최근 들어 전통적인 수작업 영역(발주처 요구사항 분석, AI기반 안전사고 예방 등)까지 확대하고 있습니다. 텍스트 분석을 하기 위해서는 텍스트와 함께, AI 기반의 NLP 머신러닝 엔진이 필수입니다. 이 엔진 내에서 문맥 기반의
SAS and Microsoft certifications can help with your professional and career development. And now, you can even take certification exams from the comfort of your own home.
사기 위험 증가, 그리고 고객 바로 알기 무수히 많은 고객 거래에서 사기를 찾는 일은 모래 속에서 바늘을 찾는 것과 같다고들 말합니다. 디지털 가속화로 휴대폰 하나만 있으면 언제 어디서든 원하는 서비스를 이용하고 비용을 지불하는 편리한 시대를 살고 있는 지금, 기업과 기관은 고객에게 보다 빠르고 더 많은 편의를 제공하여 시장과 고객을 뺏기지
