“I need to prep and blend data and do advanced analytics”

You know how long it takes to cleanse and prep data, especially when it’s coming from multiple sources. Deduping files, joining on a common identifier, correcting null variables, and more all take time – time that you don’t always have, when you finally receive the datasets you need.

And you know where your time ends up getting pinched – on the data analysis. Become a more efficient analyst with self-service data analytics from Alteryx. Prep, blend, and analyze all of your data in a repeatable workflow, and deliver deeper business insights in hours, not weeks.

Easily prep and blend data from multiple sources

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. Our repeatable workflow gives you the ability to prep and blend all of your data in a drag-and-drop visual workflow with no coding required.

Perform advanced analytics – predictive, statistical, and spatial

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 an R programmer, you have the ability to customize these tools or even create your own tools to be reused in Alteryx.

Share your analysis with decision makers

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. 

Passionate customers accomplishing amazing things

Eliminate redundant work and deliver deeper insights.

Microsoft Excel is an accessible and easy-to-use tool for performing basic calculations and manipulating numeric data. But its design predates our current age of Big Data, where analyzing both internal and external data from multiple sources that are both structured and unstructured are de facto requirements. Unfortunately, many analysts are pushing Excel beyond its core capabilities to do things like prep and analyze data from multiple data sources. As a result, the potential for error increases drastically.

Alteryx delivers a platform for self-service data analytics that alleviates some of the processes analysts struggle with in Excel to deliver a seamless approach to data analytics which results in faster, deeper insights.

Stop writing code to extract and prep data.

SQL coders are often tasked with writing hundreds of lines of code to build out a data or analytics process. While writing the code may not be that difficult, it can be quite time consuming to test and debug. It can also be challenging to translate and replicate your process to the various data analysts you support across your organization.  

From SELECT, WHERE, GROUP BY, JOIN, ORDER BY, SUM, DISTINCT, and more, Alteryx empowers users to build out SQL code for an entire analytics process in a drag-and-drop workflow environment. At the same time, it is flexible enough to allow users to leverage existing SQL statements or in-database capabilities in the databases’ native language. The result is a repeatable process that is easily transparent to the SQL coder, the business analyst, and decision makers across the organization.

Location matters. Analyze data using geographic proximity.

Geospatial analytics plays a significant role in many companies’ business strategies, contributing insight for customer analytics, asset management, manufacturing operations, and other critical business functions. With analytics in all forms transitioning from specialized teams into the lines of business, analysts increasingly need to combine spatial analysis with predictive and statistical analytics, and they can do so with Alteryx in an easy, user friendly manner.

Alteryx allows users to blend geo-location data and run spatial analysis, without the need to license separate tools. You can geocode and map your customers, stores and competitors, generate trade area catchments and run drive time analysis for the US, Canada, Europe, Australia, and more. Execute advanced spatial queries faster than traditional GIS packages and output to a wide variety of formats.

Deanna Sanchez, Rent-A-Center

Deanna Sanchez, Rent-A-Center

Prep, blend, and analyze your data faster.
Try Alteryx free for 14-days.

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