How does GIS software work?

GIS or location intelligence software takes data with a geographic component and creates a clear, visual representation of the data on a map.

You can use the output to share information, inform decision-making and seek feedback – in person, in reports, or online.

How do you get started with GIS software?

Using GIS software is like using any other piece of analytical software – first you need to:

  • Understand what questions you want to ask, or goals you want to achieve.
  • Gather the data that will help you to answer these questions.

Next, you log in to your GIS software to accomplish your tasks. Each program has its own, specific way of doing things – but the general principles are the same.

When you use eSpatial OnDemand GIS™, you would typically:

  • Log on from any computer, using a supported web browser and an Internet connection.
  • Upload your data – either GIS data, or a csv file that includes addresses or locations.
  • Create a new layer using your uploaded data.
  • Style the new data you’ve uploaded, so the results are clear.
  • View the map and graph created by your results.
  • Share your results for further discussion and analysis.

A real-life example of GIS software in action

Background
Jack is a sales manager for a popular retailer. He needs to create a profile of a typical loyalty card customer, then target people who match the profile of the ideal customer, so that they will shop at the stores and sign up for loyalty cards.

Jack has access to a customer database with names, addresses, and ages, as well as data on the value and type of purchases made using the loyalty card.

How eSpatial OnDemand GIS helps Jack

  • Step 1: Uploading and styling data
    Jack uploads the loyalty card data, and a CSV file that lists the locations of his stores.

    Jack styles his data so that each element is clear.

  • Step 2: Displaying current customer data
    Jack turns on the layers that show store locations, the customers’ gender and age profiles.

    This shows him the age and gender of loyalty card customers in relation to store locations.

  • Step 3: Looking at area demographics
    Jack turns off the loyalty card customer age and gender layers. He turns on census data layers that show the age and gender demographics in the areas where the stores are.

    This shows Jack the demographic breakdown of the population surrounding his stores – his potential local customer base.

  • Step 4: Comparing area demographics and customers
    Now Jack’s curious. He wants to see if his loyalty card customers are representative of the population in the areas.

    To compare his loyalty card customers against the area demographics, Jack uses the map he already has, and turns the loyalty card customer age and gender layers back on.

  • Step 5: Analysis & insights
    Jack takes the maps and graphs he’s created to his weekly team meeting. The team analyses them, discusses their findings, and creates a plan of action.