10 Reasons why I look forward to SAS Global Forum

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Reasons to look forward to SAS Global Forum 2018SAS Global Forum 2018 takes place April 8-11 in Denver. The event will attract nearly 6,000 SAS professionals from around the world and from nearly every industry for the a learning and networking experience second to none. At this year's event I'll be presenting the paper Getting More Insight into Your Forecast Errors with the GLMSELECT and QUANTSELECT Procedures on Tuesday, April 10 from 2:30-3:30 in Meeting Room 401. SAS Global Forum is my favorite SAS user event for so many reasons. Here are my top 10 reasons I'm particularly excited about this year's event.

Reason #1: Opening Session
It's always impressive to see the latest and greatest SAS software has to offer. I'm particularly looking forward to hearing the latest SAS Viya news and developments in Machine Learning. Keynotes by Oliver Schabenberger and other SAS Executives highlight the event.

Reason #2: Meeting my favorite SAS bloggers
It's inspiring to see how Rick Wicklin, Robert Allison, Chris Hemedinger and Sanjay Matange spend a lot of (spare?) time to provide SAS Tips for the SAS Community and SAS blogs. Thank you!

Reason #3: Presenting my paper
Inspired by Paul Goodwin, my paper will include lots of @SASsoftware code and SAS tips for SAS users and the SAS community. You can download the code for the paper and for other case studies from my new book from GitHub.

Reason #4: Co-Authoring paper 2419: "An Easier and Faster Way to Untranspose a Wide File"
You'll learn important data prep and data quality tasks and the and benefits of using @SASsoftware code to perform these task.

Reason #5: Meeting other SAS Press authors
It'll be a lot of fun meeting other SAS book authors including Tricia Aanderud, Sanjay MatangeRick Wicklin, Chris Hemedinger and Robert Allison to discuss their experiences and meet the charming ladies of the SAS Press team.

Reason #6: Meeting SAS Press readers
Excited about meeting the SAS users who read SAS books at the SAS Press booth in the QUAD to discuss their experiences with SAS software for analytics.

Reason #7: Taking care of our SAS customers from Austria, Germany and Switzerland
It'll be good to see that many SAS software users from our region, many of whom are travelling to Denver to see news on SAS analytics, Machine Learning, Deep Learning, Artificial Intelligence and SAS Viya.

Reason #8: Meeting students who use SAS
It will be exhilarating exchanging ideas with students using SAS software for their research and classes. It's so refreshing to see the increasing interest in SAS from universities around the world.

Reason #9: Getting inspired
Always a great thing to see nearly 6,000 people with an interest in SAS software and SAS analytics interacting and exchanging best practices. I always return to work with a renewed sense of motivation and energy.

Reason #10: Interest in my SAS books and papers
Thanks a lot for your interest in my work! It is always a pleasure to discuss all things SAS with each and every one of you.

Hope to see many of you in Denver!

Books by Gerhard Svolba


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Gerhard Svolba

Principal Solutions Architect

Dr. Gerhard Svolba ist Analytic Solutions Architect und Data Scientist bei SAS Institute in Österreich. Er ist in eine Vielzahl von analytischen und Data Science Projekten quer über fachliche Domains wie Demand Forecasting, analytisches CRM, Risikomodellierung und Produktionsqualität involviert. Seine Projekterfahrung reicht von der fachlichen und technischen Konzeption über die Datenaufbereitung und die analytische Modellierung in unterschiedlichen Branchen. Er ist der Autor der SAS Press Bücher Data Preparation for Analytics Using SAS, Data Quality for Analytics Using SAS and “Applying Data Science: Business Case Studies Using SAS”. Als nebenberuflich Lehrender unterrichtet er Data Science Methoden an der Medizinischen Universität Wien, der Universität Wien und an Fachhochschulen. Sie finden auch Beitrage auf: Github und Twitter. ENGLISH: Dr. Gerhard Svolba ist Analytic Solutions Architect und Data Scientist bei SAS Institute in Österreich. Er ist in eine Vielzahl von analytischen und Data Science Projekten quer über fachliche Domains wie Demand Forecasting, analytisches CRM, Risikomodellierung und Produktionsqualität involviert. Seine Projekterfahrung reicht von der fachlichen und technischen Konzeption über die Datenaufbereitung und die analytische Modellierung in unterschiedlichen Branchen. Er ist der Autor der SAS Press Bücher Data Preparation for Analytics Using SAS®, Data Quality for Analytics Using SAS® and “Applying Data Science: Business Case Studies Using SAS”. Als nebenberuflich Lehrender unterrichtet er Data Science Methoden an der Medizinischen Universität Wien, der Universität Wien und an Fachhochschulen. Sie finden auch Beitrage auf: Github und Twitter.

2 Comments

  1. Gerhard: Definitely hope you have a great conference and, obviously, agree with #4. For those interested, the paper will be presented Tuesday at 10am in Meeting Room 502, and will be presented by Gerhard, Joe Matise and Matt Kastin.

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