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

Chapter 19: Establishing Standard Procedures

A good way to think about standard procedures is using an analogy of a traffic light. We have all waited at a busy intersection where a traffic light regulates the flow of traffic, but when that traffic light malfunctions, the wait can get much longer. Conversely, we may have been stopped at a traffic light with no other cars in sight, left wondering why we are just sitting here waiting for the light to turn green. The point is obvious: having the right amount of procedures is helpful, while having too many procedures is a waste.

When implementing Domo, there are a few core procedures that we need to establish. Here, we will show processes for indicating artifact ownership, accepting new requests, prioritizing and assigning request implementations, migrating changes from development to production, and certifying content accuracy. When these core processes are in place, trust is high, adoption increases, and performance improves.