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)
1
Section 1: Data Pipelines
7
Section 2: Presenting the Message
12
Section 3: Communicating to Win
17
Section 4: Extending
21
Section 5: Governing

Describing card interactions

In this section, we will introduce the card-level interactions that are available to users to filter and change visuals on the fly. We will work through exercises on how users can interact with cards without being a card designer. These card interactions are accessed via the card details page. Let's walk through a quick overview of the features, as shown in Figure 9.1:

Figure 9.1 – Interactions on the card details page

Here is a brief description of each of these features:

  • Date Range: This shows the toolbar for managing the date range and grain on the charts.
  • Hide/Show Filter Bar: This toggles the card filter bar.
  • Annotate: This captures a comment about a specific date on the chart and saves the comment with the card. It is helpful to capture significant events for context.
  • Change Chart Type: This shows a palette of possible alternative chart types for the data.
  • Show Quick Filter: This opens the...