Ok, you might be thinking why do I need to? Let’s get down to it, data is key in running your business, as we have said before 85% if not more of your customer data and the activity data you have has a location element, we call it “The power of Where”, why, because everything happens somewhere.
We all know that the purpose or running a businesses is to increase sales of what you do, win more business, and help more customers. We also know that data plays a key part in understanding what is happening and when it is happening, the Where and the analysis of where, helps you take your CRM data and plot the locations of the activity that is going on within your Sales, Marketing and Service departments.
Granted you might be a local business and understanding your customer “Where” might not be that important, unless you need a map for your website, but for businesses that rely on ecommerce, national and international sales and marketing activity, there is something to be said about understanding where the best results are gained and where your productivity comes from.
In this blog demo we wanted to highlight two of the key features of analysing data by location with Mapsimise, because Mapsimise is a SaaS platform that helps you understand your data by location, if you don’t yet have an account, you can learn more HERE
As you will already know, there are many ways to analyse data, you can filter, you can colour, you can cross match, but now you can do all this by location.
So, lets take a look at Clustering and Heatmaps, both are features of Mapsimise, first let’s look at how you can cluster data by location across several different types of data.
Just to give an overview any map that is created can have several layers of data, meaning you can show related business data all in one view, and then each layer can have a cluster.
Let’s take a look at what this means, basically we perform a count based on density and give a geo location shape from the individual cluster so that you can see how the clustered data relates to a given location, we do this for every layer that has clustering switch on.
In the video below we show how this Is done using several layers of data.
What else can you do well in this blog demo we also wanted to take a look and share what you can do with heat maps, and more importantly overlaying heat maps to see the density of activity it be sales, marketing or service or even the amount of your customer activity. Using heat maps in this way give you another view of your data.
What is important to note here is you have the ability to change the colour and the density of anyone heatmap along with the ability to overlay the heatmaps with different data type.
In the video below you can see how this is done and hope you can switch on the layer heat maps while changing the features.
In this blog you have seen how both clustering and heat maps can be used to understand and analyses your data by location, how you can build views and see what is happening where.
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Finally, thanks for reading and we hope to chat soon 👍