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

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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Advanced Analytics | Data Visualization

Rick WicklinJanuary 30, 2017 0

Automate the creation of a discrete attribute map

If you are a SAS programmer and use the GROUP= option in PROC SGPLOT, you might have encountered a thorny issue: if you use a WHERE clause to omit certain observations, then the marker colors for groups might change from one plot to another. This happens because the marker colors

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Advanced Analytics | Analytics | Students & Educators

Mike GillilandJanuary 26, 2017 0

Guest blogger Len Tashman previews Winter 2017 issue of Foresight

Preview of the Winter 2017 issue of Foresight Foresight begins the new year with our 44th issue since the journal began publishing in 2005, and in this Winter 2017 collection we’re showcasing a broad range of incisive and entertaining pieces. We’re looking at new research on the effectiveness of collaboration

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Advanced Analytics

Steven O'DonoghueJanuary 25, 2017 0

A journey of SAS high performance

SAS® Viya™ 3.1 represents the third generation of high performance computing from SAS. Our journey started a long time ago and, along the way, we have introduced a number of high performance technologies into the SAS software platform: In-Database processing where SAS data quality and analytical processing occur within the

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Advanced Analytics

Emily GaoJanuary 25, 2017 0

Analyzing Trump v. Clinton text data at Reddit

Recently a colleague told me Google had published new, interesting data sets at BigQuery. I found a lot of Reddit data as well, so I quickly tried running BigQuery with these text data to see what I could produce. After getting some pretty interesting results, I wanted to see if

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Advanced Analytics

Rick WicklinJanuary 25, 2017 0

Simulate data for a linear regression model

This article shows how to simulate a data set in SAS that satisfies a least squares regression model for continuous variables. When you simulate to create "synthetic" (or "fake") data, you (the programmer) control the true parameter values, the form of the model, the sample size, and magnitude of the

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Advanced Analytics | Analytics | Learn SAS

Jeff ThompsonJanuary 24, 2017 0

Step into the wonderful world of SAS Enterprise Miner

Editor's note (10/25/17): You can practice what you learned in class with 15 hours of Free virtual lab time when you attend the in-person or Live Web Applied Analytics Using SAS Enterprise Miner class. Register now. Are you interested in taking an advanced course on the machine learning topic of Neural Networks? Does text

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Advanced Analytics

Larry LaRussoJanuary 21, 2017 0

Credit score modeling in SAS Enterprise Miner: Reject inference to solve sample bias problem

Editor's note: The following post is from Xiaoyuan Zhang, presenter at an upcoming Insurance and Finance User Group (IFSUG) webinar. Learn more about Xiaoyuan Zhang. As a business user with limited statistical skills, I don’t think I could build a credit scorecard without the help of SAS Enterprise Miner. As you

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Advanced Analytics | Fraud & Security Intelligence | SAS Events

SAS PolandJanuary 18, 2017 0

SAS® Visual Investigator – the new dimension of use of advanced SAS analytics

Today, fraud detection in the areas of financial services, citizen services and national security is becoming an increasingly relevant challenge for both private organisations and government agencies. The ubiquity of the internet, the e‑commerce boom and growing volumes of data processed in clouds necessitate the implementation of advanced IT tools.

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Advanced Analytics

Rick WicklinJanuary 18, 2017 0

Solve mixed integer linear programming problems in SAS

This article shows how to solve mixed integer linear programming (MILP) problems in SAS. In a mixed integer problem, some of the variables in the problem are integer-valued whereas others are continuous. The objective function is a linear function of the variables and the variables can be subject to linear

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Advanced Analytics | Analytics

Robert MoreiraJanuary 12, 2017 0

Five great analytics resolutions for 2017

The holiday season is over – and you survived. You’ve made a lot of personal resolutions for 2017 - go to the gym, eat less sugar, save more money, visit Grandma more often. These are all great personal resolutions for 2017, but what about your analytics resolutions? If you are

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Advanced Analytics

Locations of La Quinta Inns and Denny's restaurants

Rick WicklinJanuary 6, 2017 0

Is "La Quinta" Spanish for "Next to Denny's"?

“La Quinta” is Spanish for “next to Denny’s.” -- Mitch Hedberg, comedian Mitch Hedberg's joke resonates with travelers who drive on the US interstate system because many highway exits feature both a La Quinta Inn™ and a Denny's® restaurant within a short distance of each other. But does a

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Advanced Analytics

SAS PolandJanuary 4, 2017 0

Business Intelligence: 4 key development trends

4 dominant trends can be distinguished in the development of Business Intelligence tools and in the way they are used in modern organisations. These trends will evolve into directions of development for these tools, changing their role in supporting decision processes and building competitive advantages. Trend 1: Self-service models The

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Advanced Analytics

Emily GaoJanuary 4, 2017 0

Word scatter plot with SAS

In my last post, I showed you how to generate a word cloud of pdf collections. Word clouds show you which terms are mentioned by your documents and the frequency with which they occur in the documents. However, word clouds cannot lay out words from a semantic or linguistic perspective.

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Advanced Analytics | Analytics

Christian GoßlerDecember 22, 2016 0

Höllenforschung ohne Pippi

In einen glühenden Schlund blicke ich, als öffne sich eine Höllenpforte; Hitze schlägt mir entgegen: Aus dem Stoßofen wird eine Stahlbramme geschoben, zum Walzen auf etwa 1.250 Grad Celsius erwärmt. Lärmend und zischend wird der Stahlblock ausgewalzt und schließlich als wenige Millimeter dickes Blechband aufgerollt, eine gewaltige Spule, tonnenschwer …

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Advanced Analytics

Imre PólikDecember 19, 2016 0

How good is the MILP solver in SAS/OR?

There has been a lot of speculation over the years about the quality of the optimization solvers in SAS/OR, in particular the mixed integer linear optimization (MILP) solver. Measuring the performance of optimization solvers and comparing different solvers on a test set is a crucial part of modern optimization solver development.

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Advanced Analytics | Analytics

Data Governance ist eine Frage der Wortwahl – am Anfang war das Glossar

Christian EngelDecember 15, 2016 0

Data Governance – am Anfang war das Glossar

Karen, in unserem letzten Gespräch haben wir über die Bedeutung von professionellem Datenqualitäts-Management und über die erforderliche organisatorische Einbettung gesprochen. Jetzt möchte ich etwas konkreter werden. Beschreibe doch mal, worauf es bei der Umsetzung ankommt? Wie sollte sich ein solcher Data Governance Prozess gestalten?

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Advanced Analytics

Emily GaoDecember 13, 2016 0

Fun with SAS Text Analytics: A qualitative analysis of IALP papers

Last week, I attended the IALP 2016 conference (20th International Conference on Asian Language Processing) in Taiwan. After the conference, each presenter received a u-disk with all accepted papers in PDF format. So when I got back to Beijing, I began going through the papers to extend my learning. Usually, when

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Advanced Analytics | Analytics

Tülay StecherDecember 13, 2016 0

Schnellstatistiken auf die Hand

Die letzten Jahre zeigen deutlich, wie rasant das Datenaufkommen in den Unternehmen wächst. Laut einer Prognose von Statista wird das Volumen der jährlich generierten digitalen Datenmenge weltweit in den kommenden 5 Jahren um das 5-fache (in Exabyte) steigen. Dies stellt sowohl die IT als auch die Fachbereiche vor immense Herausforderungen.

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