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Advanced Analytics

Move beyond spreadsheets to data mining, forecasting, optimization – and more

Advanced Analytics | Analytics | Data Visualization

Hwa TruongMarch 31, 2017 0

How to make sense of the Madness in March

March Madness is in full swing. And the success of the Dance Card formula powered by SAS -- along with stories about teams like the New York Mets, the Boston Bruins, the Orlando Magic and more, all using analytics -- demonstrates how sports and analytics are becoming more and more

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Sports & Entertainment

Advanced Analytics

Jeanne (Hyunjin) ByunMarch 31, 2017 0

안면 인식 기술, 군중 속 얼굴에서 수익을 창출하다

스티븐 스필버그 감독과 톰 크루즈 주연의 영화 ‘마이너리티 리포트’는 예술적 측면뿐 아니라 사회적으로도 다양한 이슈를 만들었습니다. 톰 크루즈가 맡은 주인공 존 앤더튼은 도시 곳곳에 설치돼 신원을 확인하는 홍채 인식 시스템으로부터 숨기 위해 안구 이식 수술을 받는데요. 영화와 달리 안구 이식 수술은 현실에서 아직 가야 할 길이 멉니다. 하지만 ‘편재형 개인

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Advanced Analytics | Analytics | Programming Tips

Phil WeissMarch 27, 2017 0

Using the Robust Analytics Environment of SAS Viya

I have been using the SAS Viya environment for just over six months now and I absolutely love it. As a long-time SAS coder and data scientist I’m thrilled with the speed and greater accuracy I’m getting out of a lot of the same statistical techniques I once used in

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Advanced Analytics | Data Management | Internet of Things

Andrea NegriMarch 23, 2017 0

Data quality and data preparation in self-service

The rise of self-service analytics, and the idea of the ‘citizen data scientist’, has also brought a number of issues to the fore in organizations. In particular, two common areas of discussion are the twin pillars of data quality and data preparation. There is no doubt that good quality, well-prepared

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Advanced Analytics

Rob PrattMarch 22, 2017 0

SAS at the 2017 INFORMS Conference on Business Analytics and Operations Research

SAS will be well represented at the 2017 INFORMS Conference on Business Analytics and Operations Research, which takes place April 2-4 at Caesars Palace in Las Vegas, NV. Two dozen SAS staff will participate in this conference. SAS/OR, the SAS Global Academic Program, and JMP will have adjacent and coordinated

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Advanced Analytics | Analytics

Peter SnellingMarch 16, 2017 0

Why our future prosperity demands smart borders

There have been some rather hysterical headlines in the UK recently about immigration. Eyebrow-raising statements alluding to the Home Office (the government department responsible for immigration) losing thousands of asylum seekers illustrate that efforts to trace them are placing huge pressure on resources. This, and the more outward looking post-Brexit

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Advanced Analytics

Guohui WuMarch 15, 2017 0

Model selection for spatial econometrics using PROC SPATIALREG

A previous post, Spatial econometric modeling using PROC SPATIALREG, introduced the SAS/ETS® SPATIALREG procedure and demonstrated its usage to fit both linear and SAR models by using 2013 county-level home value data in North Carolina. In most analysis for spatial econometrics, you rarely know the true model from which your data

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Advanced Analytics | Data Management | Internet of Things

Charlie ChaseMarch 15, 2017 0

Omnichannel is changing the way we view demand planning

Omnichannel Analytics are helping companies uncover patterns in big data to improve the customer experience. Using those insights, companies can anticipate what consumers are planning to purchase and influence that purchase in real time. Companies are experiencing unprecedented complexity as they look for growth and market opportunities. Their product portfolios are

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Manufacturing | Retail

Advanced Analytics | Artificial Intelligence | Machine Learning

Andrew PeaseMarch 14, 2017 0

Image recognition: Cutting edge data science ready for business

Image recognition is a hot and hyped topic in machine learning, artificial intelligence and other technology circles. Computer vision technology is essential for realizing advancements like driverless cars, face recognition, medical outcomes predictions, and a host of other breakthrough innovations. Amidst the hype, organizations large and small are trying to understand the

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Advanced Analytics | Analytics | Data Visualization

Dr. Jürgen KaselowskyMarch 13, 2017 0

Entschuldigung, wo bitte kann ich denn Data Scientist werden?

Ach, dieses ewige Big-Data-Gerede … alles nur Marketing, oder ist da vielleicht doch etwas dran? Brauche ich das als Absolvent auf Jobsuche? Und wenn ja, wo wird denn so etwas angeboten? Blickt da jemand überhaupt noch durch? Klar, ich! Es sind spannende Zeiten, denn es ist nicht mehr zu leugnen:

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Advanced Analytics | Analytics | SAS Events

David PopeMarch 13, 2017 0

4 strategic uses of analytics

Every where you turn today, you run into analytics. If you talk about big data, you will talk about analytics, if you talk about the internet of things (IoT), you will talk about analytics, if you talk about automation ... well, you get the picture. When used properly, analytics has always

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Advanced Analytics | Analytics

Sam EdgemonMarch 13, 2017 0

The top 10 statistics to consider when filling out your NCAA brackets

My high school basketball coach started preparing us for the tournaments in the season’s first practice. He talked about the “long haul” of tournament basketball, and geared our strategies toward a successful run at the end of the season. I thought about the “long haul” when considering my brackets for

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Advanced Analytics | Learn SAS | Programming Tips

Larry LaRussoMarch 8, 2017 0

Adding SAS Viya to your SAS 9 programming toolbox

Editor’s note: This is the first in a series of articles to help current SAS programmers add SAS Viya to their analytics skillset. In this post, SAS instructors Stacey Syphus and Marc Huber introduce you to our new Introduction to SAS Viya Programming for SAS 9 Programmers video library, designed to show SAS programmers how they can

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Advanced Analytics | Work & Life at SAS

Radhika KulkarniMarch 8, 2017 0

Women in analytics - a personal perspective

I am often asked to describe my career as a woman in analytics and provide some insights to guide women who wish to be part of this field and to succeed as leaders in the profession. I have divided my comments on women in analytics into sections, starting from the beginning,

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Advanced Analytics | Machine Learning

Emily GaoMarch 1, 2017 0

How to extract domain-specific sentiment lexicons

In 2011, Loughran and McDonald applied a general sentiment word list to accounting and finance topics, and this led to a high rate of misclassification. They found that about three-fourths of the negative words in the Harvard IV TagNeg dictionary of negative words are typically not negative in a financial

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Advanced Analytics | Analytics

Analytics-as-a-Service

Anita LakhotiaMarch 1, 2017 0

It’s a long, long road … von den Daten zur Entscheidung. Aber mit Analytics-as-a-Service wird die Reise einfacher

In meinem letzten Beitrag habe ich mich mit Colin Gray vom SAS Analytics-on-Demand-Team über die verschiedenen Optionen unterhalten, die Unternehmen zur Verfügung stehen, wenn sie in Analytics einsteigen – eine davon ist Analytics-as-a-Service. Neben dem technischen Aspekt gilt es, auch den strategischen und organisatorischen zu berücksichtigen. Daher soll es hier

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Banking | Communications | Insurance

Advanced Analytics

Rick WicklinMarch 1, 2017 0

Monte Carlo estimates of joint probabilities

Monte Carlo techniques have many applications, but a primary application is to approximate the probability that some event occurs. The idea is to simulate data from the population and count the proportion of times that the event occurs in the simulated data. For continuous univariate distributions, the probability of an

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Advanced Analytics

Rob PrattFebruary 24, 2017 0

Solving Kakuro Puzzles with SAS/OR

Erwin Kalvelagen recently posted about a logic puzzle called Kakuro, also known as Cross Sums. As in traditional crossword puzzles, there are horizontal and vertical clues. As in Sudoku, each white cell is to be filled in with a digit from 1 to 9, with no digit repeated within the

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Advanced Analytics

Rick WicklinFebruary 22, 2017 0

Quantile estimates and the difference of medians in SAS

Sometimes SAS programmers ask about how to analyze quantiles with SAS. Common questions include: How can I compute 95% confidence intervals for a median in SAS? How can I test whether the medians of two independent samples are significantly different? How can I repeat the previous analyses with other percentiles,

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Advanced Analytics | Analytics | Data Visualization

Helge S. RosebøFebruary 20, 2017 0

Lachs mit Eiscreme – und wie sieht Ihr Self-Service aus?

Self-Service Business Intelligence (BI) wartet mit einer ganzen Reihe von Vorteilen auf, einer der wichtigsten ist sicherlich Agilität. Doch gerade diese Agilität kommt manchmal der Governance eines Unternehmens in die Quere. Nicht selten passiert es, dass Anwender angesichts des blinkenden schönen Self-Service-Visualisierungstools die vereinbarten Regeln außer Acht lassen. Hier die

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Banking | Insurance | Manufacturing | Retail

Advanced Analytics

Rick WicklinFebruary 15, 2017 0

Simultaneous confidence intervals for multinomial proportions

A categorical response variable can take on k different values. If you have a random sample from a multinomial response, the sample proportions estimate the proportion of each category in the population. This article describes how to construct simultaneous confidence intervals for the proportions as described in the 1997 paper

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Advanced Analytics | SAS Events

Larry LaRussoFebruary 13, 2017 0

Facial recognition: Monetizing faces in the crowd

Editor's note: The following post is from Shara Evans, CEO of Market Clarity Pty Ltd. Shara is a featured speaker at SAS Global Forum 2017 and a globally acknowledged Keynote Speaker and widely regarded as one of the world’s Top Female Futurists. Learn more about Shara. In the movie Minority Report lead

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Advanced Analytics | Learn SAS

Rick WicklinFebruary 13, 2017 0

An easy way to run thousands of regressions in SAS

A common question on SAS discussion forums is how to repeat an analysis multiple times. Most programmers know that the most efficient way to analyze one model across many subsets of the data (perhaps each country or each state) is to sort the data and use a BY statement to

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Advanced Analytics | Fraud & Security Intelligence

Steve BennettFebruary 10, 2017 0

U.S. government struggling with comprehensive fraud strategies

In 2014, the federal government lost more than $125 billion to fraud, waste and abuse. And that’s just what we know about. While that number may sound incredible, those on the front lines of the government fraud fight know that it's all too real. The US government needs to change

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Advanced Analytics | Analytics

Superforecasting book cover

Mike GillilandFebruary 9, 2017 0

Show your forecasting skills in Good Judgment Open

Good Judgment® Open Ever wondered how good you are at forecasting? As a business forecaster, you can do the usual comparison against a naive model (and hopefully you are beating it!). You might also compare your forecast accuracy to published industry benchmarks -- although I would strongly recommend against this.

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Advanced Analytics

Rick WicklinFebruary 8, 2017 0

Winsorization: The good, the bad, and the ugly

On discussion forums, I often see questions that ask how to Winsorize variables in SAS. For example, here are some typical questions from the SAS Support Community: I want an efficient way of replacing (upper) extreme values with (95th) percentile. I have a data set with around 600 variables and

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Advanced Analytics | Analytics

The Business Forecasting Deal Book

Mike GillilandFebruary 1, 2017 0

Automatic forecasting and FVA (Part 2 of 2)

To make it easy to identify non-value adding areas, you can build a simple application using SAS® Visual Analytics software. Such an application lets you point and click your way through the organization’s forecasting hierarchy, and at each point view performance of the Naïve, Manual, Statistical, and Automated forecasts (or

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Advanced Analytics

Rick WicklinFebruary 1, 2017 0

Simulate many samples from a linear regression model

In a previous article, I showed how to simulate data for a linear regression model with an arbitrary number of continuous explanatory variables. To keep the discussion simple, I simulated a single sample with N observations and p variables. However, to use Monte Carlo methods to approximate the sampling distribution

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Advanced Analytics | Analytics

The Business Forecasting Deal Book

Mike GillilandJanuary 31, 2017 0

Automatic forecasting and FVA (Part 1 of 2)

To properly evaluate (and improve) forecasting performance, we recommend our customers use a methodology called Forecast Value Added (FVA) analysis. FVA lets you identify forecasting process waste (activities that are failing to improve the forecast, or are even making it worse). The objective is to help the organization generate forecasts

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