Book Image

Data Democratization with Domo

By : Jeff Burtenshaw
Book Image

Data Democratization with Domo

By: Jeff Burtenshaw

Overview of this book

Domo is a power-packed business intelligence (BI) platform that empowers organizations to track, analyze, and activate data in record time at cloud scale and performance. Data Democratization with Domo begins with an overview of the Domo ecosystem. You’ll learn how to get data into the cloud with Domo data connectors and Workbench; profile datasets; use Magic ETL to transform data; work with in-memory data sculpting tools (Data Views and Beast Modes); create, edit, and link card visualizations; and create card drill paths using Domo Analyzer. Next, you’ll discover options to distribute content with real-time updates using Domo Embed and digital wallboards. As you advance, you’ll understand how to use alerts and webhooks to drive automated actions. You’ll also build and deploy a custom app to the Domo Appstore and find out how to code Python apps, use Jupyter Notebooks, and insert R custom models. Furthermore, you’ll learn how to use Auto ML to automatically evaluate dozens of models for the best fit using SageMaker and produce a predictive model as well as use Python and the Domo Command Line Interface tool to extend Domo. Finally, you’ll learn how to govern and secure the entire Domo platform. By the end of this book, you’ll have gained the skills you need to become a successful Domo master.
Table of Contents (26 chapters)
Section 1: Data Pipelines
Section 2: Presenting the Message
Section 3: Communicating to Win
Section 4: Extending
Section 5: Governing

Working with collections

Page collections let you break up a page into sub-sections, with each collection holding cards under the collection's name on the page. A page can have none-to-many collections and the collections can be collapsed and provide flow to a dashboard, similar to slides in a presentation deck.

For our first use of collections, let's implement a monitoring dashboard pattern that can be applied to almost any function. A great monitoring dashboard answers questions such as the following:

  • For this function, where are we now, and how does that compare to our goals?
  • How did we get there?
  • What are the trends?
  • What has changed?
  • Where are we going to be?

Not surprisingly, these questions also form the basis of an outline for a high-performance monitoring dashboard pattern.

Let's learn how to use collections to implement a monitoring dashboard pattern for the Sales Department:

  1. In the Sales dashboard header, click...