Explore Geographical Relationships in Insightly Data with Power Map
The CData ODBC Driver for Insightly is easy to set up and use with self-service analytics solutions like Power BI: Microsoft Excel provides built-in support for the ODBC standard. This article shows how to load the current Insightly data into Excel and start generating location-based insights on Insightly data in Power Map.
Create an ODBC Data Source for Insightly
If you have not already, first specify connection properties in an ODBC DSN (data source name). This is the last step of the driver installation. You can use the Microsoft ODBC Data Source Administrator to create and configure ODBC DSNs.
Start by setting the Profile connection property to the location of the Insightly Profile on disk (e.g. C:\profiles\Insightly.apip). Next, set the ProfileSettings connection property to the connection string for Insightly (see below).
Insightly API Profile Settings
Navigate to your Insightly profile and select User Settings > API to find your API key. The Pod value (e.g.,
na1) is derived from the subdomain of your API URL.
When you configure the DSN, you may also want to set the Max Rows connection property. This will limit the number of rows returned, which is especially helpful for improving performance when designing reports and visualizations.
When you configure the DSN, you may also want to set the Max Rows connection property. This will limit the number of rows returned, which is especially helpful for improving performance when designing reports and visualizations.
Import Insightly Data into Excel
You can import data into Power Map either from an Excel spreadsheet or from Power Pivot. For a step-by-step guide to use either method to import Insightly data, see the "Using the ODBC Driver" section in the help documentation.
Geocode Insightly Data
After importing the Insightly data into an Excel spreadsheet or into PowerPivot, you can drag and drop Insightly entities in Power Map. To open Power Map, click any cell in the spreadsheet and click Insert -> Map.
In the Choose Geography menu, Power Map detects the columns that have geographic information. In the Geography and Map Level menu in the Layer Pane, you can select the columns you want to work with. Power Map then plots the data. A dot represents a record that has this value. When you have selected the geographic columns you want, click Next.
Select Measures and Categories
You can then simply select columns: Measures and categories are automatically detected. The available chart types are Stacked Column, Clustered Column, Bubble, Heat Map, and Region.