Spatial analysis is the art and science of extracting insights from data that has a geographic component. Think of it as giving your data a physical address! Traditionally, this involved complex Geographic Information Systems (GIS) software. But today, spatial analysis is more accessible than ever, thanks to data science and machine learning.
Pinpointing locations on a map is just the first step. Spatial analytics goes far beyond that, offering a powerful lens to understand how relative location impacts your business. It allows you to see the bigger picture: how customers, stores, services, and other factors interact with each other geographically.
This magic happens by blending spatial data (think zip codes, store addresses) with your existing data sets (sales figures, customer demographics). By analyzing these combined datasets, you gain a wealth of insights that can transform your decision-making process.
Here’s how spatial analytics can help you understand and optimize key areas:
Forget complex GIS! Alteryx’s no-code tools make spatial analysis a breeze, unlocking location intelligence for all data users. Optimize resources, plan assets, manage logistics, and more – all in a user-friendly platform.
Alteryx offers an intuitive workflow that streamlines the entire process:
Alteryx makes blending spatial data with your existing information a breeze. Here’s a step-by-step guide to get you started:
Find a detailed 6-step guide for blending spatial data using Alteryx:
Alteryx’s Input tool lets you grab data from anywhere – spreadsheets, databases, even social media! Just connect to your desired sources, and Alteryx will get your data ready for spatial exploration.
The Street Geocode tool in Alteryx quickly transforms your standard addresses (like customer locations or branch sites) into geographic coordinates (latitude and longitude). This “spatializes” your data, adding a new data point for each location.
In this example, we’ll use it to geocode both customer and site data.
The Trade Area tool lets you see what’s happening within a specific area around each location. For example, you can create a 10-minute drive time polygon. This “draws” a zone around each location, encompassing all areas reachable within a 10-minute drive using the road network.
The Spatial Match tool lets you see how different sets of locations relate to each other. For instance, you can use it to find out how many customers live within (or outside) the 10-minute drive time zone you created for each location. It essentially compares your customer data points (spatial points) with the trade area polygons (spatial objects) to identify matches based on spatial relationships (like “contains” or “intersects”).
Alteryx offers a range of additional tools for advanced spatial analysis, making it accessible to users beyond data specialists. Additional tools include:
Alteryx doesn’t just help you crunch data – it enables you to share your insights clearly.
Visualize Your Success: Overlay data on detailed maps or satellite imagery using advanced mapping tools.
Spread the Knowledge: Export your analysis in various formats like Excel, ESRI, or even Tableau and Qlik for seamless integration with other data workflows and presentations.
As a Premier Alteryx partner, we have extensive experience and a proven track record of success. Our team is highly skilled in Alteryx solutions and can help you unlock the full potential of this powerful platform.
Contact us today to learn more about how Alteryx and our partnership can take your business to the next level.
Image Source: https://community.alteryx.com/pvsmt99345/attachments/pvsmt99345/general-discussions/2303/2/Spatial_Cookbook_Victa.pdf