With SAS Visual Analytics everyone can easily discover and share powerful insights that inspire action with a single application for reporting, data exploration and analytics. One of SAS's most popular products is the feature for November's SAS Bowl.
Game Details
The SAS Support Community trivia event, SAS Bowl XLV, SAS Visual Analytics is scheduled for Wednesday, November 13, at 10 AM ET.
Register for the event and receive an invite to a Microsoft Teams meeting and a calendar event.
On game day, join the Teams meeting and access the game here.
More on SAS Visual Analytics
With SAS Visual Analytics you can create interactive reports and dashboards. You use it to quickly summarize key performance metrics and share them via the web and mobile devices. Executives and front-line staff can quickly interact with and collaborate on insights, slice and dice them to find their own answers, and better understand business performance.
Below are portal-related resources we'll use to create questions for the game.
Tricks for SAS Visual Analytics Report Builders - SAS Communities library article series
SAS Visual Analytics Stories Are Data With a Soul - SAS Ask the Expert webinar
SAS Visual Analytics Gallery - SAS Communities board featuring images from SAS Visual Analytics
Unveiling Oceanus: Harnessing SAS Visual Analytics to combat illegal fishing networks - SAS Blog post
SAS Bowl and event details
For those who may be new to the SAS Bowl, you can find game history and specifics in this Community memo. There you'll also find links to previous events, which include recordings.
Register for the event and receive an invite with game details and a Teams meeting link. On game day, Join the TEAMS meeting to play, and show off your SAS and worldly knowledge while competing for bragging rights and SAS Community game gear.
Agenda:
12:00pm - 12:05pm
Welcome Remarks
12:05pm - 12:50pm
PROC BGLIMM: The Smooth Transition to Bayesian Analysis
Danny Modlin, SAS US
Many analysts are interested in taking models they currently have and transitioning them to the Bayesian realm. Most leap from their favorite classical analysis procedure directly to PROC MCMC, the general-purpose Bayesian procedure. This presentation will feature the BGLIMM procedure available since SAS/STAT 15.1. This will allow the participant to model non-normal responses and include random effects within their Bayesian approach. Discussion will include options of priors and availability of statements. Examples will include models originally written in PROCs REG, GLM, GLMSELECT, GENMOD, MIXED, and GLIMMIX.
12:50pm - 1:00pm
Stretch Break
1:00pm - 1:25pm
SAS Hackathon: Perspectives From BC Hydro
Moderated by Scott Nason, SAS Canada
Panelist: Tracy Xu
BC Hydro recently participated in the SAS Hackathon 2024. In this session, BC Hydro team members will share their impressions and learnings from the SAS Hackathon as well as insights about how they got started, picked a use case, found data, and worked with SAS team members to build a prototype.
1:25pm - 1:45pm
What's New at SAS?
Alice Yuan, SAS Canada
1:45pm - 2:00pm
Closing Remarks and Feedback Survey
Register Now
Date: Tuesday, December 3, 2024 Time: Noon - 1:00 PM ET Place: Online Cost: Free! However, please register by Friday, November 29 in order to receive the webinar link. Webinar information will be sent out on Monday, December 2.
Register Now!
Agenda
Ten Tips for Effective Statistical Graphics - Rick Wicklin, SAS
This presentation offers tips for creating effective statistical graphics. Sometimes, a small change to a graph can make a big difference. Other times, it is better to replace the graph entirely. Always, it is vital to design graphs that convey a clear statistical message to your target audience. SAS code is shown for every tip. The complete SAS code is freely available. Rick Wicklin, PhD, is a distinguished researcher in computational statistics at SAS and is a principal developer of the SAS/IML matrix language. His areas of expertise include statistical graphics, computational statistics, simulation, and statistical programming. Rick has authored two books, including Simulating Data with SAS. He writes a popular blog about statistical programming and data visualization in SAS (http://blogs.sas.com/content/iml)
Register Now!
