Get to know Analytics Canvas

The visual interface to connect to data, perform calculations, and export to databases and files

Personal demos and tutorials
Not sure where to start? Whether you want a 15-minute overview, a demo, a 30-minute training session, or a call to review your reporting challenges, we’re happy to connect via web-conference. This offer is available to trial users and customers so don’t hesitate to reach out!

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Part 1 – The User Interface

There are three main sections to a Canvas, the Navigation section on the far left, the Data Viewer in the bottom third of the application, and the Main Canvas.


Part 2 – Data Sources

Create import blocks and bring data onto your canvas by selecting Data Sources > New Source and following the prompts for each data type.

You can import multiple Google Analytics queries, along with multiple files and database connections onto a single canvas. You can connect to it securely to your database, whether it is in the cloud or behind a corporate firewall.

Part 3 – Blocks and Connectors

Queries, calculations and transformations are done using data blocks that are placed on the main canvas. They are connected together through the use of input and output stubs, defined by their location on the block.

Input stubs are at the top and on the left side of a block. Output stubs are on the right and bottom sides of a data block.

To connect blocks together, simply click on and output stub and drag it to an input stub. Generally speaking, blocks that allow multiple inputs have multiple input stubs. Such blocks include Combine Blocks and Join Blocks. There’s no limit to the number of outputs from a given block, simply click on the output stub and drag it to the next input.

Part 4 – Formulas and Functions

If you are used to writing your analysis in Excel, you’ll find the same types of calculations available in Analytics Canvas. If you’re used to using databases and connecting through SQL to create joins, segment data and perform calculations, you can write your function OR use the visual interface to avoid writing lines of code.