TIPS AND TRICKS Getting more from your Data with Mapsimise Version 4 We are fast approaching the release of version 4 of Mapsimise with additional features to help you get more from your data and use Mapsimise as a productive business solution for understanding data
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
business search Ways You Can Use Search In Mapsimise This week we are taking another look at the capability of the Mapsimise search as this has several great features and different capabilities. Which can help you find out more information about a
connected data Connecting your Enterprise and Universe We wanted to cover some of the great new features coming in V4 of Mapsimise. We are getting really close now with the new “data bridge”.Check out the video below to see
Analyse Sales Like a needle in a haystack... or not, with Mapsimise Advanced Filters! It’s Friday again and you may have noticed we missed last week’s Tips and Tricks due to the Easter bank holiday (we did think of trying to come up with something
Grids and layers Here's the Steps to Working with Grids and Layers in Mapsimise Buckle up! We're going to jump straight into another helpful guide on working with grids and layers.After working with a number of customers this week, we thought we’d have a quick
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
Analyse Sales Layer up your data in Mapsimise to significantly improve data analysis. Here's how: This week we thought we would share a little about connecting the dots and show how multiple layers can be very useful when analysing data from several different sources.As you may know
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 Three features in Mapsimise you may not know about: What are they? Let's find out more... This week we wanted to share a little more about the features that enable you to see more information and data by location.Google SearchFirst off, did you know that you can search
ecommerce How Geo Helps in an Ecommerce World It might seem that over the last 18 months the world of retail has turned upside down with more and more businesses and consumers turning to online providers for good and services. But
Analyse Sales Let's make your data visual with Mapsimise's customisable pins As you may know by now Mapsimise can be used for many different data types; from customer analysis to sales, marketing, and service.Mapsimise has been designed to help you understand your data
Analyse Sales How to manage your maps and data the easy way… How to Manage MapsFirst let’s look at managing maps. If you have ever wanted to delete a map but were not sure how then like everything in Mapsimise, to enhance the user
Analyse Sales Get 2021 ready with some great connectors in Mapsimise! Hello 2021!2021 looks to be an amazing year for Mapsimise with the release of V4 and more data connectors, as well as native Microsoft SQL server database and some popular social media
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
Analyse Sales Take your data analysis to the next level with Google Business Search! Today we are looking at how to use external data with your business systems. Over the past months we have heard more than once the phrase “data is the new oil".Did you
collaboration There is an 'I' in Mapsimise, BUT it was made for TEAMS: Collaboration with Mapsimise This week we wanted to share a little bit more about how you can make your data visualisation go out with a bang!Mapsimise, as you know, is about working with and sharing
data tables Working with your own data via Mapsimise data tables: How does it work? In this week’s Tips and Tricks, we wanted to share how simple it is to edit and work with Mapsimise data tables and how easy you can edit them once created.You
Geospatial So, what kind of hole would you like? One of our customers recently built a map view of all software renewals by location and then created a route and visit plans for a sales team members to action. The same could have also easily been done with maintenance appointments.
Geospatial Technology How Location Intelligence Might Be a Very Good Idea for Your Business Definition: Location Intelligence is the process of deriving meaningful insight from geospatial data relationships to solve a problem.
Google Maps One True View of All Your Customers, Prospects, Sales and Cases Business efficiency is not always easy to achieve, and we all know that our customers are our biggest asset. To grow business, we need to generate more new business and business from existing customers.
Maps for Microsoft Dynamics 365 What Is “Connected Data” and Why You Should Care? So, what is connected data? It’s a strategy to use data that is in your current systems and build views across multiple platforms that you may have to give an analytical view of system and business data.
Geospatial Can I Use My “Big Data” by Location? This was in the late 1990’s and the concept of “Big Data” was not really a thing but this organisation was very forward thinking, cutting edge you might say, and my first task was to improve the centre’s reporting facility to see the performance of the centre month by month.
