SAS Blogs

Analytics

Find out how analytics, from data mining to cognitive computing, is changing the way we do business

Analytics

Leo SadovyDecember 6, 2018 0

Analytics you can use: Manage your queue for better customer service

There is one equation every retail store, call center, traffic, airport or hospital manager should know by heart. No, it’s not E = mc². The one I had in mind is this: W = 1 / (μ – λ) It may not look like much, but it can mean the

English

Analytics | SAS Events

Paula HendersonDecember 5, 2018 0

How analytics can shape the government workforce

Creative government workforce approaches come in many forms. Some time ago, the US Environmental Protection Agency (EPA) offered employees an interesting choice to incentivize them to stay. Employees could either telework from home one day per week or receive $1,000. As Jon Lemon, principal industry consultant at SAS told the

English

Government

Analytics

Luis BarrientosDecember 4, 2018 0

Cómo se prepara el sector financiero mexicano para implementar IFRS 9: una lectura con mayor lupa

La devastación que provocó la crisis financiera de hace una década, que alcanzó a las principales economías del mundo y contagió al resto, dio origen a modificaciones y actualizaciones en las Normas Internacionales de Información Financiera (NIIF). En particular, me centraré en la NIIF 9 (o IFRS 9, International Financial

Spanish

Banking | Government

Analytics | Artificial Intelligence

Nico BüttnerDecember 3, 2018 0

KI in Computerspielen und was sie uns über KI in der Geschäftswelt lehren kann

Ich muss gestehen: ich bin leidenschaftlicher Gamer. Man könnte auch sagen, ein „Nerd“. Ich liebe Computerspiele, nicht nur, sie zu spielen, sondern ich möchte auch wissen, wie sie gemacht werden, wie sie funktionieren und wohin die Entwicklung in Zukunft führen wird. Ganz besonders interessiert mich, wie künstliche Intelligenz in Spielen

German

Analytics

Georgia MarianiDecember 3, 2018 0

Two professors’ perspectives on SAS and the future of analytics

In this blog series, we’ve spoken directly to professors to find out why it’s so important to teach analytics, their advice for students, and to learn how they create interest in analytics programs at their universities. For this third and final post, we’ll hear how SAS has played a role

English

Analytics | Students & Educators

Jennifer BellDecember 3, 2018 0

My teaching doesn’t change, why does my EVAAS score?

A conversation with my mentor has always stuck in my mind: Teaching is not about me, directly, it’s about serving my students. Teaching is about providing each of my students what they need to learn the material and to grow academically and as an individual. Teaching is about student learning.

English

Education | Government

Analytics | Data Management

Group of data scientists studying the data

Joyce Norris-MontanariDecember 3, 2018 0

The data scientist: Asking the right questions

Data scientists need good skills in communication, data mining, data wrangling and more. Joyce Norris-Montanari explains.

English

Advanced Analytics | Analytics

Sandra HernandezNovember 30, 2018 0

Personalización desde la Analítica para mejorar la experiencia del cliente

En este mundo interconectado en el que vivimos, ser un competidor fuerte en la economía digital es, además de importante, clave para alcanzar grandes resultados. Por tener gran influencia en los procesos internos de gestión, así como en las operaciones que se desarrollan de cara a los clientes, la Analítica

Spanish

Retail

Analytics | Internet of Things

Greg HeidrickNovember 29, 2018 0

Will 2019 be the year of an IoT epiphany in retail?

Whether you're reading industry articles about smart tags or analyst reports about inventory tracking, you've probably noticed an uptick in coverage on the adoption of IoT (and RFID) in retail. Since I've been following these topics for awhile, I've decided to dedicate a series of posts on the ways IoT can be used

English

Retail

Analytics

Tonia CalvioNovember 28, 2018 0

Come incrementare le potenzialità delle risorse umane grazie a People Analytics

La prova definitiva per poter definire una tecnologia “mainstream” consiste nel verificare che essa venga ampiamente utilizzata in tutta l'azienda, dalle funzioni a servizio del cliente alle attività di back-office. Gli analytics sono stati a lungo incentrati sul cliente ed ampiamente utilizzati anche per le prestazioni individuali, ad esempio, dalle

Italian

Analytics | Internet of Things

Chris HartmannNovember 28, 2018 0

Die Supply Chain der Dinge

Wie wäre es, wenn Sie Anomalien in der Lieferkette automatisch erkennen oder vorhersagen könnten? Wenn Sie also die Chance bekämen, rechtzeitig Korrekturmaßnahmen zu ergreifen und so Umsatz, Margen und Kundenzufriedenheit zu steigern? Die Planung einer Supply Chain kann sehr komplex sein. Von der Planung und Beschaffung über die Fertigung bis

German

Manufacturing | Retail

Analytics

Greg HorneNovember 28, 2018 0

Is telemedicine the future of medicine?

I first used telemedicine (the remote diagnosis and treatment of patients by means of telecommunications technology) in the mid-90s when I was working as an on-call CT technician in the UK. We used a modem to transfer head trauma scans to the local neurology center for assessment so that the

English

Analytics | Data for Good

Steve KearneyNovember 28, 2018 0

SAS and The Washington Post shine light on the opioid epidemic, including role of analytics

The opioid epidemic continues to be one of the largest challenges facing the United States. In 2016, more than 42,000 Americans died from opioid overdoses, and that number continues to climb. Recent data shows that more than 130 people die every day in the United States after overdosing on opioids,

English

Government | Health Care

Analytics | Data Management

Data steward is similar to a concierge (of analytics)

Jim HarrisNovember 27, 2018 0

Data steward: The concierge of analytics

Jim Harris says data stewards are essential to analytics, providing life cycle management for data across the enterprise.

English

Analytics | Data for Good

SAS KoreaNovember 27, 2018 0

SAS, 데이터 분석으로 허리케인 플로렌스 재해 복구 활동에 나서다!

초강력 허리케인 '플로렌스’ 미국 남동부 지역을 강타하다 지난 9월, 대서양에서 발생한 초강력 허리케인 '플로렌스(Florence)'가 미국 노스캐롤라이나주를 비롯한 미국 남동부 지역을 강타했습니다. 하루 무려에 762mm 기록적 물폭탄이 내리면서 허리케인으로 인한 재산 피해액은 총 170~220억달러(약 19조~25조원) 인것으로 추정되기도 했는데요. 허리케인 플로렌스가 쓸고 간 자리에는 집, 일자리, 건물, 학교 등을 잃은 이재민들이 남았습니다.

Korean

Government

Analytics | Data Visualization

Rick WicklinNovember 26, 2018 0

A funnel plot for immunization rates

Last week my colleague, Robert Allison, visualized data regarding immunization rates for kindergarten classes in North Carolina. One of his graphs was a scatter plot that displayed the proportion of unimmunized students versus the size of the class for 1,885 kindergarten classes in NC. This scatter plot is the basis

English

Analytics

Rodrigo AriasNovember 23, 2018 0

Siete desafíos que enfrenta el comercio electrónico en México

Está próximo a celebrarse en México (el 27 de noviembre) Hot Sale, evento anual cuyo propósito es impulsar las ventas de productos de consumo en línea a través de ofertas, descuentos y promociones especiales. Organizado por la Asociación Mexicana de Ventas en Línea (AMVO), la Asociación Mexicana de Internet (AMIPCI)

Spanish

Retail

Advanced Analytics | Analytics

José Luis ReyesNovember 23, 2018 0

¿Cómo competir en el sector del retail durante los días de descuentos por Internet?

Hace unas semanas se celebró la vigésima sexta edición de Góndola, el encuentro más importante para la industria del retail en Colombia. En su desarrollo se habló de los cambios que ha venido enfrentando el sector debido a la variedad de los perfiles de los nuevos clientes, y se afirmó que

Spanish

Retail

Analytics

Ivan Fernando HerreraNovember 23, 2018 0

Blockchain y Analytics, la dupla que apoya el crecimiento de la industria aseguradora

Blockchain es una tecnología que tradicionalmente se ha asociado a la industria financiera por ser la base que permitió la creación y consolidación del Bitcoin, la famosa criptomoneda. A grandes rasgos, Blockchain es una base de datos distribuida y segura (gracias al cifrado), utilizada para almacenar todo tipo de transacciones,

Spanish

Retail

Analytics | Machine Learning

Chris HartmannNovember 22, 2018 0

Machine Learning: Mehr Effizienz im Planungsprozess

Sie glauben, dass Machine Learning die Rolle von Nachfrageplanern komplett ersetzen kann? Dann lesen Sie diesen Beitrag besser nicht. Wenn Sie jedoch der Ansicht sind, dass maschinelles Lernen den Planungsprozess automatisieren kann, so dass Nachfrageplaner effizienter arbeiten können, dann stimme ich Ihnen voll und ganz zu! Intelligente Automatisierungstechniken sind quasi

German

Manufacturing

Analytics | Internet of Things

Jeanne (Hyunjin) ByunNovember 22, 2018 0

현대 제조업의 필수 3가지 기술! 디지털 트윈, 분석 그리고 사물인터넷

만약 나의 주치의가 내 디지털 트윈(Digital Twin)을 만들어 실시간으로 나의 상황을 다양한 센서 데이터 등을 통해 업데이트 받을 수 있다면 어떨까요? 현실세계의 기계나 장비, 사물 등을 컴퓨터 속 가상세계에 구현한 디지털 트윈을 통해 몸 속의 잠재적인 질병에 대한 신호를 미리 받을 수 있을지도 모릅니다. 디지털 트윈이 암 관련 질병을 미리

Korean

Manufacturing

Analytics | Artificial Intelligence | Machine Learning

Makoto Unemi (畝見真)November 21, 2018 0

SAS Viya：一般物体検出（Object Detection）を試してみた

PythonからSAS Viyaの機能を利用するための基本パッケージであるSWATと、よりハイレベルなPython向けAPIパッケージであるDLPyを使用して、Jupyter NotebookからPythonでSAS Viyaの機能を使用して一般物体検出（Object Detection）を試してみました。今回は、弊社で用意した数枚の画像データを使用して、処理の流れを確認するだけなので、精度に関しては度外視です。大まかな処理の流れは以下の通りです。１．必要なパッケージ（ライブラリ）のインポートとセッションの作成２．一般物体検出向け学習用データの作成３．モデル構造の定義４．モデル生成（学習）５．物体検出（スコアリング）１．必要なパッケージ（ライブラリ）のインポートとセッションの作成 swatやdlpyなど、必要なパッケージをインポートします。 from swat import * import sys sys.path.append(dlpy_path) from dlpy.model import * from dlpy.layers import * from dlpy.applications import * from dlpy.utils import * from dlpy.images import ImageTable from dlpy.splitting import two_way_split from dlpy.blocks import *

Japanese

Analytics | Data Visualization | Programming Tips

Robert AllisonNovember 21, 2018 0

Finding a cut-your-own Christmas tree in North Carolina

This week I noticed that they've started building the lot where they sell Christmas trees near SAS (at the intersection of Maynard & Reedy Creek Rd). They put up a nice rustic wooden fence, and lights, and maybe even a fire pit to keep their workers warm. They sell some

English

Sports & Entertainment | Travel

Analytics | Learn SAS

Graph of norm of solutions to the singular system A*b=c. The norm is plotted for vectors b + alpha*x_Null where b is the Moore-Penrose solution and x_Null is a basis for the nullspace of A.

Rick WicklinNovember 21, 2018 0

Generalized inverses for matrices

A data analyst asked how to compute parameter estimates in a linear regression model when the underlying data matrix is rank deficient. This situation can occur if one of the variables in the regression is a linear combination of other variables. It also occurs when you use the GLM parameterization

English

Analytics | Risk Management

SAS KoreaNovember 20, 2018 0

은행 자본 계획부터 금융 규제 대비까지, ‘스트레스 테스트’ 완전정복!

은행은 금융위기와 같은 경제적 충격이 외부에서 발생했을 때 채무 불이행에 따른 손실 규모를 파악하고 보유하고 있는 위험자산에 대한 포트폴리오 변화를 빠르게 확인할 수 있어야 하는데요. 특히 글로벌 금융위기 이후 은행권을 대상으로 글로벌 경제 위기에 견딜 수 있는 재무 건전성 역량을 문서화하는 규제요구가 높아지면서 대형 투자은행들이 경제 상황이 극도로 나빠졌을 때

Korean

Banking

Analytics | Data Management

Mike PflugNovember 19, 2018 0

Without data management, forget AI and machine learning in health care

Data management gets lost in the enthusiasm around Artificial intelligence (AI) and machine learning (ML). Not surprising, when it's an algorithm that decides what search results to show you, guides the self-driving cars on the roads, and powers the anti-fraud bots that monitor every credit card transaction we make. Charles

English

Government | Health Care

Analytics | Data Management

Michael HerrmannNovember 19, 2018 0

Data Preparation: Qualität per Self-service bei Banken

Finanzdienstleister haben aktuell massive Herausforderungen beim Management ihrer Daten: Der Kostendruck zwingt einerseits zu einem hocheffizienten Betrieb („run“). Zugleich wandeln sich andererseits die Prozesse im Business, Stichwort Digitalisierung („change“). Die drückenden Regeln der Aufsicht scheinen sich nicht vereinen zu lassen mit dem Anspruch der Kunden, flexibel, fix und doch datensparsam

German

Banking

Analytics

Alejandro BolañosNovember 16, 2018 0

Explicate! Entendiendo los modelos de Machine Learning (Parte 1)

La duda es uno de los nombres de la inteligencia. - Borges Para data scientist/analistas de datos/viejos mineros/lobos de mar. En los comienzos de nuestra carrera de data scientists, el poder de cómputo era muy inferior al que disponemos hoy. Sin embargo, muchas empresas ya veían el enorme potencial de

Spanish

Analytics | Fraud & Security Intelligence

Carl HammersburgNovember 16, 2018 0

Healthcare fraud in the post-honesty world

Healthcare fraud is alive and well. Honesty is dead and gone. There, I’ve said it. What else are we to take from surveys that find that 27% of people would sell their work passwords...44% of them for less than $1,000?* What does it mean that 37% of survey respondents think

English

Government

Analytics

Georgia MarianiNovember 16, 2018 0

Two students’ advice on data science, SAS and more

In my first two posts of this blog series, we heard why two students chose to pursue a STEM field and what appealed to them about data science. We also heard how they put their knowledge to work on a real-world data science project. Today, we'll hear their advice to future

English

Education

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