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

Describing dashboard page interactions

A great dashboard allows the user to interact with it. This typically involves organizing how the content is presented and enabling the user to filter the data. Domo dashboard pages come with a rich set of features for users to interact with. Many of the interactive features are dynamic and do not affect the default entry state of the dashboards or cards. For example, clicking the browser page's refresh button will reset the dashboard back to its default clean-slate state.

Let's review the high-level interaction features that are shown in the following screenshot:

Figure 8.1 – Page interaction features

The following are some brief descriptions of the features that were highlighted in the preceding screenshot:

  • Apply Saved Filter: This applies the page filter settings from a previously saved filter.
  • Add Filter Fields: This adds additional fields from the datasets to be filtered on the page...