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
In the previous section of this series we looked at basic summary statistics. In this article we start to consider the relationships between variables in our dataset. As part of your Explanatory Data Analysis it is worth looking for correlation between variables. Generally, when referring to correlation we mean the
As an example, when using ordinary least squares regression (OLS), if your response or dependent attribute’s residuals are not normally distributed, your analysis is likely going to be affected and typically not in a good way. The farther away your input data is from normality, the impact on your model
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
SAS' Ben Yarbrough reveals the four questions to answer and four steps to take as you transition to SAS Viya.
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
Following on from my introductory blog series, Data Science in the Wild, we’re going to start delving into how you can scale up and industrialise your Analytics with SAS Viya. In future blogs we will look at how you can augment your R & Python code to leverage SAS Viya
After my recent articles on simulating data by using copulas, many readers commented about the power of copulas. Yes, they are powerful, and the geometry of copulas is beautiful. However, it is important to be aware of the limitations of copulas. This article creates a bizarre example of bivariate data,
Article co-écrit avec Frédéric Sanchez, directeur de l’Ecole de la Data, et Didier Gaultier, Business & Decision Créée il a juste 2 ans, l’École de la data et de l’IA est l’illustration d’une ambition unique dans le monde des ESN : recruter des talents, former de manière pratique et opérationnelle
If you’ve ever traveled, you know the excitement of getting to explore a whole new place. After a year of quarantine, people are desperate for that feeling again. As Covid-19 restrictions lift, travel companies need to be prepared for the substantial amount of customer data that will become available. With
In a previous article, I discussed various ways to solve a least-square linear regression model. I discussed the SWEEP operator (used by many SAS regression routines), the LU-based methods (SOLVE and INV in SAS/IML), and the QR decomposition (CALL QR in SAS/IML). Each method computes the estimates for the regression
In general, it is hard to simulate multivariate data that has a specified correlation structure. Copulas make that task easier for continuous distributions. A previous article presented the geometry behind a copula and explained copulas in an intuitive way. Although I strongly believe that statistical practitioners should be familiar with
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
Emojis are showing up in our data. Here's what you need to know when working with emojis in your SAS code.
SAS System Engineer Sophia Rowland reveals how to embed decision flows into webpages and applications using APIs for a better customer experience.
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.
Kevin Russell of SAS Technical Support reveals the effects of data size and language elements in your code when you execute the DATA step in CAS.
Learn how a computer vision application makes it safer, post-pandemic, for employees to return to factories.
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
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
Sólo podemos ver poco del futuro pero lo suficiente para darnos cuenta de que hay mucho por hacer...”. Alan Mathison Turing La nube se ha convertido en sinónimo de la forma en que las organizaciones pueden romper las barreras de IT para brindar agilidad, elasticidad y velocidad que tanto necesitan.
Recently, we’ve released a new feature in ASTORE: score with multiple analytic stores. In the process, we may create multiple analytic stores with dependencies among them (the output of some analytic stores is an input to others). This feature streamlines the scoring process of multiple analytic stores. It enables the
I refer to the SAS documentation every day. Usually, I want information about SAS syntax and the statistical formulas and algorithms for various options and statements. Although I have bookmarked common documentation books and chapters, sometimes it is easier to perform an internet search to find information. I've discovered a
One of the questions we hear a lot about artificial intelligence is, “Which algorithm or AI technique should I use?” For complex problems, the answer isn’t always one technique or another. Instead, the best answer to any problem is often a combination of multiple techniques and technologies. We’re seeing with
Brett Wujek, Principal Product Manager do SAS, mostrou detalhadamente o cliclo analítico e como o SAS Viya ajuda a facilitar o modo como os dados podem ser tratados, oferecendo um equilíbrio natural e efetivo entre os recursos de automação e a interação humana. Wujek frisou a importância da interação humana
Nilton Mayrink, CIO e Head de Vendas BSB/BSC, comenta sobre a importâncias do SAS Viya para os negócios da empresa Durante o painel SAS® Helps Martins Wholesale Through the Digital Transformation, Nilton Mayrink, CIO e Head de Vendas B2B/B2C no Martins Atacadista, falou sobre a importância do uso intensivo da
A decisão de expansão do suporte nativo em nuvem visa democratizar, cada vez mais, o uso do analytics Em sua 21ª edição, o SAS Global Forum 2021 teve início hoje e irá até o dia 20 de maio, de modo virtual e gratuito. Na sessão de abertura, Dr. Jim Goodnight,
