Xavier is recognized for his expertise in business intelligence, administration, data visualization and programming. He joined SAS Technical Support in Belgium where he covered data management, business intelligence and SAS solutions. Since 2008, his main focus became mastering SAS business intelligence from both the visualization and architecture perspectives. In 2018, Xavier took on a new challenge and joined the Global Enablement and Learning team, part of SAS R&D, which seeks to disseminate knowledge with our internal colleagues, SAS partners, and ultimately our customers to achieve actionable insights through data visualization.
From articles I've read on the web, it is clear that data is gold in the twenty-first century. Loading, enriching, manipulating and analyzing data is something in which SAS excels. Based on questions from colleagues and customers, it is clear end-users are willing to display data handled by SAS outside
With increasing interest in Continuous Integration/Continuous Delivery (CI/CD), many SAS Users want to know what can be done for Visual Analytics reports. In this article, I will explain how to use Python and SAS Viya REST APIs to extract a report from a SAS Viya environment and import it into another environment.
Starting your data scientist journey? Want to build your own predictive models? SAS' Xavier Bizoux shows you how to use SAS Visual Analytics to identify which model likely to perform the best.
