We take a different approach to analytics. Our platform is purpose-built to create new data partnerships among IT, analytic teams, and the lines of business. With Alteryx, whether you are an analyst or data scientist, you can solve even the most complex analytic business problems, with less time and effort, to drive business-changing outcomes across your organization.
Alteryx is a pioneer in Analytic Process Automation. The Alteryx Analytics Process Automation (APA) Platform provides organizations a unified, human-centered platform experience that automates access to data, analytics, data science, and process automation all in one.
This is enabled via hundreds of ready-to-use “automation building blocks” in the Platform. The Alteryx APA Platform automates the discovery of data assets, automates all analytics and data science, and automates publishing outcomes to stakeholders, enterprise applications, bots, and more to enable fast decisions and automated actions.
For many analysts throughout marketing, sales, finance, or customer insight, the process involved in prepping, blending, and analyzing data is slow and painful. It requires many tools and people to gather, cleanse, and join data from different sources, then more tools to build and publish analytic models — and then even more effort to get those models and insights into the hands of business decision makers.
Alteryx Designer streamlines the process by delivering a repeatable workflow for self-service data analytics, leading to deeper insights in hours, not weeks. Alteryx Designer empowers data analysts by combining data preparation, data blending, and analytics – predictive, statistical, and spatial — using the same intuitive user interface.
By using Alteryx Server, you accelerates your time to analytical insight and empowers analysts and business users across your organization to make informed, data-driven decisions. Using a scalable platform to deploy and share analytics, you and your team can easily collaborate on business-critical decisions..
When you’re working with data, you can spend more time searching for information than on the analysis itself. In some cases, others in the organization have already collected the same information or performed a similar analysis, and there’s no good way of finding it. As a result data assets proliferate, compounding the problem and creating inefficiencies and delays in answering critical business questions.