That's where the struggle lies now – the ability to prep, blend, enrich, and validate data so you can analyze and verify your findings prior to visualization. It's everything before the dashboard that consumes so much time and effort. We invite you to join Alteryx and our trusted partner, InterWorks, on Tuesday, September 26th at noon Eastern / 9 am Pacific for our discussion on, "The ‘Before’ and ‘After’ of Impactful Analytics Today.”
Andrew Kim is a Data Programmer/Analyst in Consumer Insights at Universal in Orlando. With Alteryx, Andrew and his team have virtually automated 98% of their survey research data preparation process. The team now spends less time on the tedious task of wrangling messy data, and more time with the fun part of their jobs — creating! Read on to learn more about the ROI Andrew and Universal have experienced with Alteryx, and how it’s helping them improve the overall customer experience at the park.
Analysts have to prepare and analyze data quickly to answer important business questions. Time spent blending data takes away from time spent analyzing and acting on it. Learn how to utilize the power of Alteryx and Microsoft Azure SQL Data Warehouse to perform massive and scalable data preparation in less time.
For organizations large and small, there’s a lot to be learned from the way that presidential electoral campaign teams are evolving the way they us analytics in order to navigate the competitive landscape.
Tom Hall is a Senior Analyst at Kaiser Permanente, a leading U.S. healthcare provider. With Alteryx, Tom is saving himself hours of work in report creation. He’s now been able to delve into social media data, allowing Kaiser to proactively reach out and address member concerns across social channels. Read on to learn how Tom and his use of Alteryx are providing managers with better and more timely data to make better decisions.
Data preparation inefficiencies cost you money. Analysts need a better way to prepare, blend, analyze, and visualize their data. Learn how Alteryx Analytics and Microsoft Power BI make data preparation to visualization more efficient, thus saving your organization money.
See how Deep Root Analytics combines television viewing data and ad purchase data from the FCC to predict how many impressions competitive campaigns will get. In a recent webinar data analyst Danielle Mendheim showed tips and tricks on how to most effectively move data around AWS S3 and Redshift, and detailed how she blends many sources of data to choose the right media to reach their clients’ targets. Read about this fascinating process and learn how Deep Root Analytics leverages Amazon Web Services and Alteryx to create the perfect analytical dataset to present to their clients in Tableau.