Tableau and its competitors Qlick and Microsoft's PowerBI have established themselves as the go-to tools for business users to quickly connected diverse data sources, set up analyses, and then display them on interactive dashboards. Since DevicePilot does all this for IoT data, are these products competitive, or complementary? What's the right tool for which job?

The difference is the quantity and type of data and the kinds of analysis. IoT data tends to be diverse, real-time, streaming telemetry data, and require fairly sophisticated time-based analysis.

For example, the raw device telemetry might be:

the current level of trash in 2,000 bins around a city

and the analysis might be:

what chance does a citizen have of finding an empty bin over the past week?

DevicePilot is the easiest way to ingest, analyze, and visualize this kind of telemetry, boiling down perhaps millions of datapoints a day into a handful of key metrics (KPIs) that represent successful service delivery and customer happiness. A complete tool for the day-to-day management of those trash bins. 

But now, consider that you're a smart city manager who wants to measure the cost-effectiveness of the trash-emptying firm that you're using. That's where the likes of Tableau, Qlick and PowerBI come in - now that DevicePilot has boiled down the IoT data into metrics, you can feed those metrics into Tableau to do an analysis against, for example, billing data pulled from another source.