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Advanced Analytics

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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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Advanced Analytics

Jonathan Zenouda

Jonathan ZenoudaDecember 9, 2016 0

Enhancing SAS Asset Performance Analytics’ Root Cause Analysis with Calculated Columns

During a recent customer visit, I was asked how to include a calculated variable within SAS Asset Performance Analytics’ (APA) Root Cause Analysis workflow. This is a simple request. Is there a simple approach to do this? To remind you, in the APA workflow, an ETL Administrator makes a Data

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Advanced Analytics | Analytics | Data Management

Christian EngelDecember 8, 2016 0

IDV: Banken müssen Spagat zwischen Flexibilität und Governance schaffen

IDV (Individuelle Datenverarbeitung) ist ein Thema, das in den Banken als Teil von BCBS 239 seit Langem kritisch diskutiert wird. Ruppert Jaeschke betreut und berät seit fast 15 Jahren zahlreiche deutsche Banken im Umfeld Business Intelligence und SAS. Er hat eine klare Meinung zu diesem regulatorischen Thema. Frage: Welche Schmerzen

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Banking | Government

Advanced Analytics | Analytics | Internet of Things

Rainer SterneckerDecember 7, 2016 0

#postfaktisch #postdata #postanalytics

Wir alle müssen jetzt ganz stark sein. Und mit „wir“, da meine ich alle Vertreter der Informationstechnologie. Vom Anwender, Datenbankadministrator, bis hin zum Techniker, der das Netzwerkkabel anschließt. Wir können jetzt nämlich alle zusammenpacken und nach Hause gehen! Ja, jetzt ist soweit! Wir wurden enttarnt. Sie glauben mir nicht? Dann

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Advanced Analytics

Rick WicklinDecember 7, 2016 0

Simultaneous confidence intervals for a multivariate mean

Many SAS procedure compute statistics and also compute confidence intervals for the associated parameters. For example, PROC MEANS can compute the estimate of a univariate mean, and you can use the CLM option to get a confidence interval for the population mean. Many parametric regression procedures (such as PROC GLM)

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Advanced Analytics

Muhammad Asif AbbasiDecember 1, 2016 0

SAS integration with Hadoop - one success story

Nearly every organization has to deal with big data, and that often means dealing with big data problems. For some organizations, especially government agencies, addressing these problems provides more than a competitive advantage, it helps them ensure public confidence in their work or meet standards mandated by law. In this

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Advanced Analytics | Data for Good | SAS Events

Polly Mitchell-GuthrieNovember 29, 2016 0

4 tips to ensure your data4good efforts have an impact

In honor of today’s #GivingTuesday, which "harnesses the potential of social media and the generosity of people around the world to bring about real change in their communities,” I’ve been thinking about what constitutes “real change” and the role analytics can play on the many social issues our planet faces.

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Advanced Analytics

Ed HughesNovember 10, 2016 0

SAS at the 2016 INFORMS Annual Meeting

The 2016 INFORMS Annual Meeting will be held at the Music City Center and Omni Nashville Hotel in downtown Nashville, TN on November 13-16, with pre-conference events starting on Saturday, November 12. SAS will be a major participant in this conference. Over two dozen people from SAS will attend, with

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Advanced Analytics

David FredeOctober 27, 2016 0

How to maximize manufacturing production assets

I've been reflecting on my life and career recently and was amazed to discover that I just hit 30 years of working with industrial and manufacturing applications. While it’s a bit tough to admit my age, I’m quite happy with my career and have enjoyed manufacturing and industrial applications. I

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Advanced Analytics | Analytics

Shipments vs Consumption chart

Mike GillilandOctober 27, 2016 0

Changing the paradigm for business forecasting (Part 12 of 12)

Aphorism 6: The Surest Way to Get a Better Forecast is to Make the Demand Forecastable Forecast accuracy is largely dependent on volatility of demand, and demand variation is affected by our own organizational policies and practices. So an underused yet highly effective solution to the forecasting problem can be

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Advanced Analytics | Analytics | Data Visualization

Suzanne ClaytonOctober 26, 2016 0

Digital transformation = increased expectations for media & entertainment

Consumers want content 24 hours a day, seven days a week, all around the world. It's a tall order for media & entertainment (M&E) companies and a 180 degree shift from days past. How do they provide enough content to meet demand? Audiences are binge watching over-the-top (OTT) programming, creating

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Sports & Entertainment

Advanced Analytics | Analytics

Mike GillilandOctober 26, 2016 0

Changing the paradigm for business forecasting (Part 11 of 12)

Aphorism 3: Organizational Policies and Politics Can Have a Significant Impact on Forecasting Effectiveness We just saw how demand volatility reduces forecastability. Yet our sales, marketing, and financial incentives are usually designed to add volatility. We reward sales spikes and record weeks, rather than smooth, stable, predictable growth. The forecast

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Advanced Analytics | Analytics

Megatrends im Analytics Bereich

Dr. Laurie MilesOctober 26, 2016 0

Results-as-a-Service - Aussagekräftige Analysen für alle!

In seinem Buch „Competing on Analytics“ benennt Tom Davenport die Analytik als Grundlage nachhaltiger Wettbewerbsvorteile. Der Grund dafür ist der prädiktive Ansatz. Heutzutage ist es nicht mehr möglich, ein Unternehmen alleine mit Blick in den Rückspiegel zum Erfolg zu führen. Und Analytik erlaubt den dringend erforderlichen Blick in die Zukunft.

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Advanced Analytics | Fraud & Security Intelligence

Stavros StavrinoudakisOctober 25, 2016 0

A practical guide to tackle auto insurance fraud - Part 3: Advanced Analytics

This is the third of the seven parts of blog post series “A practical guide to tackle auto insurance fraud”. In the first two articles of the series we drilled down to Data Management and Data Quality as the basis for insurance fraud detection analytics and also to the Business

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