Overlaying Data How to overlay your data in Mapsimise We hope you are having a productive week and business is getting back to something that resembles normal. On another note, at least the sun has been out!In this week’s Mapsimise
datatables Deleting Datatables in Mapsimise? Here's how... So after a few questions were raised this week, we thought we would cover off deleting Datatables in Mapsimise.As you may know, with each subscription comes a number of tables that you
map views It's all about the view! Find out more about Map Views in Mapsimise This week we will cover off the use of multiple maps with the same data sets, gathering different views and filters from the same data.As you may know, Mapsimise offers features that
Analyse Sales Fire up your data with Heatmaps and Clustering It's time for your weekly dose of Tips and Tricks for Mapsimise. We hope these enable you to get the best from your solution.You will know all about adding data and pins
Analyse Sales 6 connectors to Mapsimise: Which will you choose? It's that time of the week again and this week’s Tips and Tricks for Mapsimise is about connected data and using data from different sources to build a view of what is
Analyse Sales What will you discover about your data from drawing on a Google Map? This week we wanted to share some tips about drawing shapes and using the drawing tools within Mapsimise and what they can achieve.Just like a box of pencils you can draw on
quick filters Filtering your data needs to be FAST. No excuses! Filtering your data should be a simple and pretty instant task but that's not always the case. We've made this our mission with Mapsimise. Let's find out more...How do you quickly get
data analysis Data analysis is as sweet as pie using Mapsimise! In this weeks “Tips and Tricks” we are focusing on analytics and charting, which can be easily added to a map. Data analysis is key for business and significantly useful in the current
shape filters Learn about Shape Filters! Cut some shapes with your data... We are sharing more tips and tricks to get you started. This week we are looking at filtering data with shapes.We know you may have uploaded data already and so we wanted