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Making Data Analysts Self-Sufficient: A Case Study

See how Amaysim, a phone service provider in Australia, is making their data analysts self-sufficient to access the data they need and perform advanced analytics with Amazon RedShift, Tableau, and Alteryx. You’ll learn how to:

- Parse large volumes of XML-based call detail records to perform revenue and wholesale cost assurance
- Analyze product consumption, including the impact of handset types on data usage
- Identify events that drive away customers and see how Amaysim uses this insight to improve customer retention

Hear from Julian Dell, IT Director at Amaysim and Adrian Loong BI Manager at Amaysim, on how they are using Alteryx and Tableau on Amazon Redshift to enable data analysts to spin up new self-service analytics instances to enable fast investigation for critical business decisions.

Speakers:
Julian Dell, IT Director at Amaysim
Adrian Loong, BI Manager at Amaysim
Brandon Chavis from Amazon
Dustin Smith from Tableau
Brian Dirking from Alteryx
Recorded Nov 18 2015 59 mins
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Presented by
Amaysim, Amazon, Tableau, Alteryx
Presentation preview: Making Data Analysts Self-Sufficient: A Case Study

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Make smarter moves with your big data management
Make smarter moves with your big data management

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  • Live at: Nov 18 2015 7:00 pm
  • Presented by: Amaysim, Amazon, Tableau, Alteryx
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