With our Alteryx Analytics 10.0 release, Alteryx delivers even more data blending functionality with new in-database capabilities for Amazon Redshift, Cloudera Impala, Teradata and Spark, enabling line-of-business analysts to take full advantage of the new Big Data stack.
Analytics are only powerful when the right decision-makers have access to the right analytic applications and the right data. The new features in the Alteryx Analytics Gallery make it easy to share insights and encourage adoption of analytic insight by making the Gallery look and feel like an internal site designed especially for your organization.
Alteryx has always been focused on making it simpler for users to blend, explore and model data using an intuitive drag-and-drop interface. With this objective in mind, in Alteryx 10.0 we have introduced several new interactive visualizations for predictive analytics, to facilitate better data-discovery and model-exploration for all analysts.
When working with data it is super nice to be able to see the process that it goes through in going from input to blending to analysis. However, sometimes knowing the state of a specific row or field in the workflow is very helpful in understanding what is going on.
As the leader in data blending, Alteryx offers direct connectivity to over sixty data sources. However, the connectivity is just the beginning. For our users, connecting to their data is the start of the conversation with their data. Therefore, our focus is not just on the connectivity itself, but also in terms of providing analysts with the best way to interact with their data.
With Alteryx 10.0, we’ve introduced new capabilities for collaboration, sharing and version control of those same workflows. These new capabilities are available both in the Public Alteryx Analytics Gallery , as well as on-premise Alteryx Server deployments.
Today, we're very excited to announce the release of Alteryx Analytics 10.0, one of our biggest releases to date. This release delivers analytic independence to line-of-business analysts, enabling them to easily blend data in any format and location without relying on other departments.