Profile of Tricia AanderudSenior SAS Consultant for Zencos
News & Commentary Posts: 15
Tricia Aanderud, Director, Data Visualization Practice at Zencos Consulting, provides SAS Consulting services to organizations that need assistance understanding how to transform their data into meaningful reports and dashboards. She has co-authored three books with her most recent title "Introduction to SAS Visual Analytics". She regularly shares data visualization tips and SAS knowledge through her BI Notes blog (http://www.bi-notes.com). Tricia has a background in technical writing, process engineering, and customer service. She has been an enthusiastic SAS user since 2002 and has presented papers at the SAS Global Forum and other industry conferences.
Articles by Tricia Aanderud
Should data stories persuade or inform? We did some research about the best way to tell a data story.
What's to blame for the failure of some analytics programs, and how can organizations increase their rate of success? Here's a closer look.
How do you predict the popularity of a one-time event? A look at different ways to forecast road traffic along the path of the eclipse.
AS Shark WEEK approaches, we've got SOME DATA visualizations TO HELP you determine WHERE It's safe TO get IN the water AND WHERE you will need a bigger boat.
Choosing the right data visualization for your information is the key to letting your data tell a story.
How you present your data can make the difference between whether your recommended action is accepted and executed or not. Here's how to improve your rate of success.
Using Excel as an enterprise reporting solution will always put you on a path to failure.
Where did all the election predictions go so wrong? And, what does the failure of analytics TO predict the Trump victory mean to the future of big data?
Election blather just might be turning people off from their social media use. Do you read? Do you turn off? Do you blather?
When presenting data It's easy TO stay focused on the number. But remember that there are real people with real concerns and emotions behind those numbers.
While pretty pictures as reports look nice -- and easy to understand -- for an analyst, the consumer of that data might sit there and say, "Huh?"
Imagine the possibilities if something like the Peeple app actually let us know how cranky we appear to others and they could rate us.
When it comes to managing and motivating employees too much data might be a bad thing. Maybe the discussions about Amazon's focus on metrics and competitiveness highlights the need for balancing data and gut decisions.
What you can learn from reader comments about how data is collected and who people can trust with their data.
Hiring and getting hired is pretty tricky in an era when data professionals don't even know what to call themselves.