How Data Mashups Offer More Insights About Your Metrics

What do glasses, air conditioning, and data mashups have in common? They’re all valuable tools that people forget about when they're used.

You may be using data mashups already, but if not you’ll soon realize how necessary they are…

What are Data Mashups and Why are they Valuable?

There are two types of data mashups: datasource mashups and dataset mashups. Both are only available in our Advanced plan. 

• Dataset mashups are a combination of two or more datasets into a single gauge. With dataset mashups you could create a Member Scorecard.
• Datasource mashups are like dataset mashups but are pulled from two or more sources. Metrics such as Tickets Per Endpoint (where you need to pull data from both your PSA and RMM) make this feature a must.

Gauges using data mashups provide much more context than traditional gauges because they offer significant insight, even in instances where metrics wouldn’t be useful if apart.

Data Mashups in the Wild

Ok, that’s a fancy title for mashup examples, but here are some gauges that you need to know because you should be using them regularly:

• Technician Utilization This Week uses dataset mashups. It pulls data from ticket statistics and member data.

• Technician Utilization Today also uses dataset mashups. It pulls data from ticket statistics and member data.

• Advanced Hours Actual Today By Member uses dataset mashups. It pulls data from ticket statistics and member data.

Two more datasource mashup metrics which we can provide via our data customization team are Hours Per Endpoint and Margin on Agreements (revenue from QuickBooks - sum of hourly cost from the PSA).

Ready to see data mashups in action? It’s as simple as requesting a free one-on-one demo.

Note: if you’re an existing customer, send an email over to Support and we’ll be happy to show you data mashups!