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 happening in your business.
You may have heard the phrase “Big Data”, first coined in 2005, but many organisations (and maybe yours is included) cannot warrant the cost of building a data warehouse and having a specialist team of data analysts.
The effect of this was to find an alternative and that alternative is connected data, which means you can take data from systems you already have.
As you may know already, Mapsimise has SIX connectors including its own data interface or API so that you can push and pull data that is used on a map.
Our future plan includes building connectors for up to 60 different interfaces over the next 3 releases, meaning that your organisation can visualise data from many different sources including popular CRM systems, Google Analytics and social media tools like LinkedIn and Twitter to see engagement.
You may also know we are currently working on release 4 of Mapsimise with some additional UI, layer and KML filtering, which is now coming to its final testing. The screenshot shows a small preview. We will speak more on this in next week's monthly newsletter.
Mapsimise supports multiple layers of data on each map meaning you can easily combine data from different sources. Whether it be customer or finance, you can get a real view of what is happening, where.
Our popular CRM connectors let you visualise a range of different data sets from your Microsoft Dynamics, Salesforce or SugarCRM, but you are not limited to one data source per map. You can easily load data from Excel to combine it with CRM or system data and then use the API or Mapsimise interface, helping you and your team build a real time view of activity.
Our connectors are based on an organisational subscription meaning you can have several connections of the same type and the costs are set on usage, with no fixed terms. If you have any questions about connecting data, loading different types of data or using different data on maps, then please do get in contact with the team.
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