For Data Analysts
“I need to find more insights using data and analytics.”
Alteryx for Data Analysts
You know how long it takes to find, cleanse and prep data, especially when it’s coming from multiple sources. Deduping data, joining tables, correcting null values, and more all take time – time that you don’t always have.
Most analysts spend too much time searching for information that may be relevant to their analysis. Time spent searching adds to the overall analysis, and often, others in the organization have already collected the same information or performed a similar analysis, but there is no good way of finding it.
Alteryx Connect changes how analysts discover, prioritize, and analyze all relevant information in their organization. It empowers analysts to quickly and easily find, manage, understand, and collaborate on the information that resides in their organization. Now, analysts can accelerate the end-to-end analytic process to dramatically improve analytic productivity and information governance, thus generating better business decisions for all.
Most analysts need to leverage from 5 to 15 data sources to help them make business decisions. Whether that data is stored in Hadoop, a data warehouse, in the cloud or on your desktop in Excel, Alteryx allows you to quickly connect to those data sources, bring them into your Alteryx workflow, and join them together on common fields or geographic proximity. Data types can be structured, unstructured, or semi-structured – Alteryx allows you to create the right dataset for analysis or visualization by using data quality, integration, and transformation tools. Alteryx Designer gives you the ability to prep and blend all of your data in a drag-and-drop visual workflow with no coding required.
Alteryx Data Blending Analytics Template
Our workflow approach extends to the next step of doing the analysis itself. Whether you are looking to leverage statistical, spatial or predictive analytics, this is all achieved by dragging and dropping tools onto your canvas and then configuring them. There are 60+ built-in tools for spatial and R-based predictive analytics within Alteryx that are as varied as drive times, regression, or clustering. If you are a programmer, you have the ability to customize these tools or even create your own tools, using R or Python, to be reused in Alteryx.
Alteryx Predictive Analytics Template
Once your analysis is complete, the next step is to get this insight into the hands of others. You can specify how you want to share your analytics insights, all in the same drag-and-drop workflow – either by delivering reports in popular reporting formats or by packaging your workflow as an analytic application that anyone with the correct permissions can use to run their own analytics, independently. You can directly export your data to popular visualization formats such as Tableau, Qlik, or Microsoft Power BI. Schedule workflows to run as often as your data changes—nightly, weekly, quarterly, or anytime you want.