From best practices and how-to's, to case studies about their use of Alteryx to solve specific problems, our Data Analyst Track sessions are given by end users who are not only getting great benefits from Alteryx, but are also bringing value to their careers. Read on to learn more about some of these ‘Not to Miss’ Data Analyst sessions.
The Solutions Center is always a popular part of Inspire. As always, we'll have Alteryx experts ready to help answer your questions, and don't forget pins and stickers. But we'll also have some new features for 2017, too — read on for details.
Alteryx Analytics Release 11.0 expands support for Microsoft SQL Server 2016, Microsoft R Server 9, Azure SQL Data Warehouse, and Microsoft Analytics Platform System to simplify and scale in-database processing and R-based predictive analytics for organizations! This release enables the analytics enterprise to achieve self-service data analytics at scale while balancing the data governance requirements of IT and Data Managers.
Alteryx Server provides a platform for analysts and decision makers across different departments of an organizations to publish, share, collaborate and consume the analytics available to them. With many users, the ability to report on and understand Server usage was essential — so we released the Alteryx Server Usage Report. Learn more about this feature.
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.
At Alteryx we’ve always balanced sophisticated analytics with ease of use, and in Alteryx Analytics 11.0 we continue to enhance our predictive features designed to speed the model development life-cycle for both experienced data scientists as well as those trying out the predictive tools for the first time. Read on to learn more.