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La innovación es hoy una de las principales vías para mejorar la competitividad y la eficiencia de las organizaciones. El SAS Innovation Lab nace con la vocación de desarrollar experiencias de alto valor añadido para las empresas, ayudándolas a entender en qué áreas podrían aplicar analítica avanzada para obtener un
The holidays are just around the corner! Avoid wasting hours walking around the mall or browsing endless online retailers trying to figure out what to get the people in your life that have everything. Instead, treat your loved ones to homemade gifts from your kitchen. These unique and thoughtful gifts
The infinite game-changer to monetize your analytics opportunities Does your factory still belong to the minor 11 percent saying that 5G is not on your radar? This means your factory is not planning to realize benefits from use cases like remote predictive maintenance, time-critical process optimization, automated visual quality inspection,
El retorno de la inversión (ROI) es el parámetro por excelencia para dimensionar la efectividad de los proyectos de TI. Conocer el tiempo en que dicha inversión se recuperará y comenzará a brindar los beneficios planeados a la organización ha sido el termómetro para medir el éxito y el punto
NOTE: this is a repost of a blog I wrote a few years ago. As I have been receiving frequent questions and requests for help on this topic recently, I thought it made sense to republish. Where to start: Knowing when a parent needs help, and what kind Many times
Editor's note: This blog post is part of a series of posts, originally published here by our partner News Literacy Project, exploring the role of data in understanding our world. Every day people use data to better understand the world. This helps them make decisions and measure impacts. But how do we take raw
Let’s flash back to a simpler year. I don’t want to date myself, so think circa 1990s. I remember sitting with my now husband watching Ken Burns’ documentary Baseball when I was first introduced to Doris Kearns Goodwin. She didn’t just know baseball – it was part of her DNA. She was smart, funny and a storyteller. I became a fan that day, and only came
The changes we have seen during 2020 have prompted a lot of soul-searching. Around the globe and across industry sectors, companies are looking at ways they can improve how they do business. My conversations with clients suggest manufacturing companies recognize we have reached a tipping point. Adopting analytics and using
Do you need to see how long patients have been treated for? Would you like to know if a patient’s dose has changed, or if the patient experienced any dose interruptions? If so, you can use a Napoleon plot, also known as a swimmer plot, in conjunction with your exposure
A segmented regression model is a piecewise regression model that has two or more sub-models, each defined on a separate domain for the explanatory variables. For simplicity, assume the model has one continuous explanatory variable, X. The simplest segmented regression model assumes that the response is modeled by one parametric
지난 텍스트 분석 시리즈 2편에서는 보험사의 데이터를 이용하여 예측 모델을 개발하고, 모델의 성능을 개선하여 고객 행동에 대한 예측도를 높이는 방법을 살펴봤습니다. 이번에는 영화 리뷰 데이터를 사용하여 분류 규칙을 개발하는 과정을 SAS Visual Text Analytics를 중심으로 알아보겠습니다. SAS Visual Text Analytics(이하, VTA)는 대용량의 비정형 데이터로부터 쉽게 인사이트를 추출할 수 있도록 설계된
In recent years, we have seen some astronomical contracts given to professional athletes. Major League Baseball (MLB) has certainly had its share. One of its first notable “megadeals” was when Alex Rodriguez, the Seattle Mariners’ power-hitting shortstop, left the team to join the Texas Rangers in 2001. The Rangers committed
01. はじめに 最近多くの人々がクラウド環境をベースにしたデータストレージサービスを利用しています。 ここで皆さん、突然ですが、データを管理するためにローカル(またはオンプレミス)環境を構築していた過去を振り返ってみてください。 以前は、データを保存するために、関連ソフトウェアやハードウェアを購入・設置・インストールし、様々な環境設定を行います。３か月後、データの量が増えてきてデータベースの容量が足りなくなります。そしてまた多くの費用と時間を使って、必要なソフトウェア・ハードウェアを再び購入、同じく様々な環境設定をします。 上記に記載したような様子は現在のビジネス世界ではほとんど見当たりません。今日必要なのは、ただメールアドレスとクレジットカードのみです。最近では様々なデータストレージサービスが生まれてきたからです。このようなサービスはクラウド環境で動いていて、一定期間料金を支払えば利用できる「subscription」(サブスクリプション)ベースであり、前払い方式ではなく、使用した分だけ課金される「pay as you go」(ペイアズユーゴー)方式が特徴です。SASでも様々なデータストレージサービスに対応していますが、今日はその情報について詳しくお伝えします。 02. SAS/ACCESSのご紹介 「SAS/ ACCESS」とは、SASと他のベンダーのデータストレージサービスを連携するインターフェースです。下記のような特徴があり、様々なデータストレージサービスとの連携を支援しています。 シームレスで透過的なデータアクセス (Seamless, transparent data access) 柔軟なクエリ言語のサポート (Flexible query language support) パフォーマンスチューニングオプション (Performance tuning options) 性能最適化機能 (Optimization features for better performance) より詳しい情報はこちらをご参照ください。 様々なデータストレージベンダーの中で、今回は「SAS/ACCESS INTERFACE TO SNOWFLAKE」を使って「Snowflake」というサービスに連携してみたいと思います。* Snowflakeの設定はこちらを見て事前に行いました。 3. SAS/ACCESSデモ 3-1. LIBNAME statementで連携 SASのLIBNAME statementで簡単にSnowflakeとの連携を行うことができます。連携することでSnowflakeのデータをDATA StepやSASプロシージャで参照することが可能になります。LIBNAME Statementのサンプルコードは下記のボックスをご参考ください。 LIBNAME
Banks don’t like to publicise it, but there’s already a place on most high streets that offers everyday banking services: the Post Office.
This resource is designed primarily for beginner to intermediate data scientists or analysts who are interested in identifying and applying machine learning algorithms to address the problems of their interest. A typical question asked by a beginner, when facing a wide variety of machine learning algorithms, is “which algorithm should