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

Navigating dashboards

A typical dashboard requires many cards to answer the variety of questions being addressed. As such, it is necessary to consider a navigational tree structure for all the dashboards to organize the cards and, thus, avoid card sprawl—dashboards with 20+ cards and no logical organization. Often, the first level of dashboard organization in an enterprise uses the departments in the organization such as sales, marketing, HR, finance, and operations. The second level tends to be role and process areas of focus such as the executives, managers, and front-line workers. However, some organizations take a process-based approach for the first level, such as order to cash, procure to pay, hire to retire, accounting to reporting, concept to launch, while others take a geo-based approach. That said, others approach the organization of the dashboard via job descriptions and leverage page filtering and PDP policies to constrain different levels of access within the page...