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Analytics

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

Analytics | Fraud & Security Intelligence | Learn SAS

Sandra Hernandez

Sandra HernandezJuly 25, 2017 0

De la salud a la mitigación del fraude: ocho historias de cómo la analítica está cambiando al mundo

El aumento desmesurado de los datos y la latente necesidad de aprovecharlos para tomar mejores decisiones, ha llevado a que soluciones como las de la analítica no solo estén al servicio del crecimiento de los negocios, sino que tengan un alto impacto en la calidad de vida de las personas

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Analytics | Data for Good

Marie LowmanJuly 25, 2017 0

SAS guidebook empowers government agencies to use analytics for good

Too much to do and not enough time to do it. That's a common refrain in government, but an important one because of the critical role government plays in the lives of so many. In a new book from SAS, A Practical Guide to Analytics for Governments: Using Big Data

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Analytics

Jeanne (Hyunjin) ByunJuly 25, 2017 0

새로운 미래를 열어가는 데이터 분석의 힘

디지털 시대의 도래와 함께 수많은 정보와 데이터가 빠르게 생성되면서 사회 다양한 분야에서 빅데이터가 폭넓게 활용되고 있습니다. 기업들도 비즈니스 데이터를 수집, 분석해서 상당한 가치를 얻을 수 있음을 잘 이해하고 있는데요. 하지만 사실 분석 활동이라는 개념은 예전부터 있었습니다. 수십 년 전인 1950년대에도 기업들은 트렌드를 파악하고 인사이트를 얻기 위해 기본적인 분석을 하고 있었습니다.

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Analytics

Ariadna SolisJuly 25, 2017 0

Lanzamiento de nuevos productos: no hay que dejar nada a la suerte

“Es una apuesta de la compañía”. Con esta frase, muchas empresas de la industria de bienes de consumo (CPG, por sus siglas en inglés) describen su decisión de introducir un nuevo producto al mercado. En el enunciado, la referencia al juego no es gratuita. En este sector, lanzar una novedad,

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Analytics | Data Visualization | Programming Tips

SAS KoreaJuly 25, 2017 0

얼마나 많은 여성들이 STEM 학위를 취득하고 있을까요?

4차 산업혁명은 전 세계 산업 구조는 물론 교육 환경에도 큰 영향을 미치고 있습니다. 지난 몇 년간 빅데이터, 사물인터넷(IoT), 인공지능(AI) 등 산업혁명을 이끄는 기술을 다루기 위해 필수적인 STEM(과학, 기술, 공학, 수학) 분야 교육에 대한 수요과 공급이 증가했는데요. 이처럼 STEM 교육에 대한 관심이 높아지면서 드러난 명암이 있습니다. 전 세계적으로 STEM 분야의 여성 비율은

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Analytics | Artificial Intelligence | Customer Intelligence | SAS Events

Christine CoudertJuly 24, 2017 0

With AI, marketing is needed but marketers might not be

In the first half of 2017 and in my only domain – which is marketing – an announcement set the tone for a major change. How not to be stunned when “Coca-Cola ditches global CMO role in leadership shake-up”? If there is only one product you can find anywhere on

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Analytics

David PopeJuly 21, 2017 0

You can teach an old dog new tricks: SAS Studio

I've been a SAS programmer for 26 years and counting. I started with the Display Management System (DMS) interface into SAS, which today is referred to as the window environment (and yes, I have used the command line interface as well, which is still available today). DMS consisted of three initial

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Analytics | Data Visualization | Programming Tips

Robert AllisonJuly 20, 2017 0

Risks to US employment - automation and offshoring

Employment - that's been a hot topic here in the US lately. Many of the manufacturing jobs we had in past decades are gone now, and it would be great if there was a crystal ball to predict which jobs might be at risk of disappearing in the future. The

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Government | Manufacturing

Advanced Analytics | Analytics | Risk Management

Hartmut KömmeJuly 20, 2017 0

Neue Prozess-Infrastruktur für die Renaissance des Datasteps

Wenn es darum geht, mit Daten zu arbeiten, dann ist der klassische SAS Datastep eines der wirksamsten Werkzeuge, das uns zur Verfügung steht. Es ist sehr einfach, mithilfe von Datenauswahl, Formeln und Bedingungen im Datastep sowie in spezifischen SAS Prozeduren zu Ergebnissen zu kommen. Hieraus sind in der Praxis umfangreiche

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Banking | Insurance

Analytics | Customer Intelligence

Sandra Hernandez

Sandra HernandezJuly 19, 2017 0

¿Cómo es que los datos pueden llevar la experiencia del cliente al siguiente nivel?

Para ofrecer un servicio verdaderamente diferencial, que concluya en una experiencia del cliente satisfactoria y genere interacciones constantes en los canales de venta, es necesario unir la mayor cantidad de piezas de información sobre el comportamiento de los compradores, actuales o potenciales, y con base en ellas construir puentes hacia

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Analytics | Fraud & Security Intelligence

Jen DunhamJuly 19, 2017 0

Overlooked crime of government procurement fraud

Procurement fraud, often a form of internal fraud, is common fraud’s black sheep of the family...whispered about at gatherings or ignored in hopes that it will simply go away. No one wants to shine a questioning light onto trusted employees or imply wrongdoing within our purchasing departments, but the fact

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Analytics | Learn SAS | Students & Educators

Fritz LehmanJuly 19, 2017 0

Planting seeds through education

If you’re familiar with the SAS story, you know that we have deep roots in academia. But our CEO Jim Goodnight has always known that roots aren’t enough to achieve incremental growth. You also have to plant seeds. Analytics alone can’t drive change, help businesses succeed and make the world

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Analytics | Risk Management

Carsten KrahJuly 19, 2017 0

Transparenz und Automatisierung braucht das Risikomanagement

Am 20. Juni trafen sich in Wien 30 Vertreter von Banken, um neue Herausforderungen an Infrastrukturen von Banken zu diskutieren. Dr. Thomas Moosbrucker, Deloitte Deutschland, beleuchtete in dem ersten Vortrag die Herausforderungen von TRIM (Target Review of Internal Models). Seiner Meinung nach wird uns TRIM, welches das Vertrauen in die

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Banking | Insurance

Analytics

Rick WicklinJuly 19, 2017 0

A quantile definition for skewness

Skewness is a measure of the asymmetry of a univariate distribution. I have previously shown how to compute the skewness for data distributions in SAS. The previous article computes Pearson's definition of skewness, which is based on the standardized third central moment of the data. Moment-based statistics are sensitive to

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Analytics

Carlos HernándezJuly 18, 2017 0

Distribuyendo los datos automáticamente

Cuando AstraZeneca se propuso hacer más rentable el proceso de fabricación de su producto Turbuhaler y minimizar las variaciones, se enfrentó a un reto importante: la necesidad de construir una solución con capacidad suficiente para manejar todos los datos relacionados con la producción que se almacenaban en todos los sistemas

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Analytics

Analise PolskyJuly 18, 2017 0

How to be a data-driven SMB: Part 2 of Twiddy’s Tale

TwIn part one of this series, Clark Twiddy, Chief Administrative Officer of Twiddy & Company, shared some best practices from the first of three phases of Twiddy’s journey to becoming a data-driven SMB. This post focuses on phases two and three of their journey. (Read the whole series here.) Phase

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Hospitality | Retail | Travel

Analytics | Data Management | Fraud & Security Intelligence

Jeanne (Hyunjin) ByunJuly 18, 2017 0

분석, 전 세계 마약 범죄 네트워크를 무너뜨릴 수 있는 힘

최근 양귀비 불법 재배와 연예인 마약 사건이 잇달아 발생하면서 국내에서는 멀게 느껴졌던 마약 범죄에 대한 관심이 높아지고 있습니다. 실제 관세청은 올해 상반기 마약 밀수가 전년 대비 2.6배 증가했으며, 밀수된 마약의 종류까지 다양해졌다고 발표했는데요. 국가는 이처럼 급증하는 마약 밀수를 차단하기 위해 조사 인력과 장비를 확충하고, 검색 기법을 적극 개발하겠다고 밝혔습니다. 이미

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Analytics | SAS Events

Di MichelsonJuly 17, 2017 0

Finding important predictors: Using your data to explain what’s going on

St. Louis Union Station welcomed its first passenger train on Sept. 2, 1894 at 1:45 pm and became one of the largest and busiest passenger rail terminals in the world. Back in those days, the North American railroads widely used a system called Timetable and Train Order Operation to establish

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Analytics | Customer Intelligence

Ariadna SolisJuly 17, 2017 0

Cuando la intuición no es suficiente, la analítica sale al rescate

El ecosistema actual de marketing es más complejo que nunca, por lo tanto es imposible gestionarlo sirviéndose únicamente de la intuición. Los clientes son más exigentes y siempre están cambiando entre un creciente número de canales, la competencia sigue aumentando, los presupuestos se desploman y las decisiones tienen que tomarse

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Advanced Analytics | Analytics

Larry OrimoloyeJuly 17, 2017 0

What are the characteristics of “true clusters?”

In the digital world where billions of customers are making trillions of visits on a multi-channel marketing environment, big data has drawn researchers’ attention all over the world. Customers leave behind a huge trail of data volumes in digital channels. It is becoming an extremely difficult task finding the right

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Analytics | Students & Educators

Katrina MillerJuly 17, 2017 0

Lessons learned from Bill Sanders, a pioneer in teacher effectiveness

In May, the New York Times published an article “The Little Known Statistician Who Taught Us to Measure Teachers” which profiled the life of Dr. Bill Sanders. The author reflected on Dr. Sanders’ life and work improving education for all students. For those of us in education, Dr. Sanders’ work

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Education | Government

Analytics

Mike GillilandJuly 13, 2017 0

Guest blogger Len Tashman previews Summer 2017 issue of Foresight

Editor-in-Chief Len Tashman's Preview The forecasting field is surely cross-disciplinary, as exemplified by the diverse membership of the International Institute of Forecasters (the publisher of this journal), but it is also multidimensional, as can be clearly seen in this Summer 2017 issue. The articles you’ll read here encompass sales and

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Analytics | Data Visualization

Anita LakhotiaJuly 13, 2017 0

Warum Sie als Data Scientist an einem Hackathon teilnehmen sollten.

Wo können Sie Ihr Können mit dem von anderen Experten vergleichen? Und in der Data Science Community über den Tellerrand blicken? Oder einfach ungezwungen programmieren - wie zu Studienzeiten - weil es Spaß macht? Zum Beispiel bei einem Hackathon. Mit Fabian Buchert, selbst Data Scientist, sprach ich über seine Erfahrungen beim

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Analytics | Data Management

young businesswoman considers pros and cons of data on demand

Phil SimonJuly 13, 2017 0

The pros and cons of data on demand

Phil Simon chimes in on the immediacy of enterprise data.

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Analytics | Data Visualization | Programming Tips

Robert AllisonJuly 13, 2017 0

Are more women getting STEM degrees?

For the past several years, efforts have been under way to recruit more women into the STEM (science, technology, engineering, and math) fields. I recently saw an interesting graph showing the percentage of bachelor's degrees conferred to women in the US, and I wondered if I could tweak that graph

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Analytics | Artificial Intelligence | Machine Learning

Scott BatchelorJuly 12, 2017 0

5 questions about artificial intelligence with Intel's Pat Richards

Artificial intelligence promises to transform society on the scale of the industrial, technical, and digital revolutions before it. Machines that can sense, reason and act will accelerate solutions to large-scale problems in myriad of fields, including science, finance, medicine and education, augmenting human capability and helping us to go further,

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Analytics | Data for Good | Data Visualization

Robert AllisonJuly 11, 2017 0

U.S. CO2 emissions are on the decline!

Carbon Dioxide ... CO2. Humans breathe out 2.3 pounds of it per day. It's also produced when we burn organic materials & fossil fuels (such as coal, oil, and natural gas). Plants use it for photosynthesis, which in turn produces oxygen. It is also a greenhouse gas, which many claim

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Energy & Utilities | Government | Manufacturing

Analytics | Artificial Intelligence | Customer Intelligence | Machine Learning

Suzanne ClaytonJuly 10, 2017 0

Diary of an AI webinar

Everyone is talking about artificial intelligence (AI). In fact, many SAS customers who've been using our analytics capabilities for years or even decades are asking: What can we do with AI? What exactly is AI from a software perspective? How can we infuse cognitive computing into our customer interactions and on the customer

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Analytics | Fraud & Security Intelligence

July 10, 2017 0

Detecte fraudes y prevenga pagos inadecuados en gobierno con Analítica

Contrario a lo que se podría pensar, el dinero público es finito. Y cuando los recursos y los presupuestos son limitados, se debe asegurar que éstos se destinen a los servicios que requieren los ciudadanos. De ahí que sea sumamente importante prevenir el fraude, los errores y el abuso que

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Analytics | Data Visualization

Mary Kathryn QueenJuly 10, 2017 0

SAS Viya 3.2: Visual Data Builder

In SAS Viya 3.2, SAS Visual Data Builder provides a mechanism for performing simple, self-service data preparation tasks for SAS Visual Analytics or other applications. SAS Visual Data Builder is NOT an Extract, Transform and Load (ETL) or data quality tool. You may still need one of those tools to

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