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

Establishing ownership

The most fundamental procedure to establish in any Domo implementation is that of ownership. More specifically, ownership of pages, cards, and datasets. Having ownership clearly defined facilitates quicker communication and problem resolution. When done correctly, proper ownership definition directs traffic to the right people as efficiently as possible. In fact, the platform has incorporated artifact ownership as an integral part of the platform, as shown in Figure 19.1. What is needed are clear policies and procedures to leverage these features:

Figure 19.1 – Artifact ownership Indicator in the platform

Figure 19.1 – Artifact ownership Indicator in the platform

The following table indicates the suggested relationships for artifact owners:

Figure 19.2 – Artifact ownership matrix

Important Note

For the highest accountability and most efficient communications, artifact ownership should always have a single person as the owner. For out-of-the-office...