Optimizing Domo’s Consumption Model: A Strategic Guide

Domo’s consumption model demands a keen strategic mind to manage effectively.

With access to all Domo features, you can test out numerous solutions and workflows with your data. As you determine the best configuration, you’ll want to keep in mind how many credits it will consume.

If the action is valuable, such as bringing your siloed data together in a dataflow, it makes sense to consume the credits. However, if the action does not produce value, such as refreshing data hourly when it only changes daily, then you’ll want to take another look at the configuration.

Here’s how you can manage your consumption without unnecessarily burning through credits or micromanaging your teams.

If still new to the consumption model, read our post to get an overview of how the consumption model works or is different from your old contract.

Key Strategies for Credit Conservation

Rethink Your ETL Routines

ETL processes are fundamental in data workflows. If they are not optimized, they could consume an extensive amount of credits.

Traditional setups might have ETL tasks running every 15 minutes or even hourly, which often isn’t necessary. Is your data really changing that often? Probably not.

By reevaluating the frequency and scheduling ETLs to run when the input dataset updates, only during business hours and not on weekends, you can significantly reduce credit usage. This adjustment aligns processing times with actual data utilization peaks, ensuring that credits are spent only when it adds value.

Beyond how they update, adjusting how ETLs are built can reduce credit consumption. With each output table consuming a credit, are there ways to reduce the number of output tables you need?

When different team analytics are siloed, you may end up with two similar datasets, such as an opportunity dataset for the sales team and a leads-to-opportunities dataset for the marketing team.

Could these datasets be adjusted so the teams use the same dataset? They cannot always be combined, as different levels of granularity sometimes need to be different datasets. But you’ll want to take a look through this to optimize for your credit consumption.

Need help optimizing your domo consumption usage? Connect with a Domo consultant today.

Smart Transformations with Views

Domo’s Views offer a more credit-efficient method for data transformation compared to traditional ETL tasks. By using Views when possible, organizations can perform necessary data manipulations at a lower cost. This method not only saves credits but also enhances the agility of data operations, allowing for quicker adjustments and less resource-intensive transformations.

Keep an Eye on Your Usage

Continuous monitoring of credit usage through tools like the ‘Used Credits DomoStats Report’ and the ‘Credit Utilization’ dashboard is essential. These tools help organizations track credit consumption and identify high-usage areas, providing insights that can drive more informed decision-making about where to cut costs or optimize processes.

Beyond the out of the box tools, it can be helpful to build additional tables to call out datasets with the most rows, run the most frequently, and have the most cards built off them. Knowing which datasets are used the most can ensure that the largest credit consumers are producing the most value.

Check out our article for help on optimizing Domo credit usage with the medallion model. 

Tighten Up Data Governance

Implementing strict data governance policies can prevent unnecessary credit usage. By defining clear guidelines on who can perform certain operations and setting limits on how often these operations can be executed, companies can avoid wasteful spending of credits.

Explore Domo Features

Domo’s consumption model pricing all focuses on consuming and processing data. An easy way to ensure you’re getting the most value for your Domo investment is to utilize all features available to you, at no additional credit cost.

Domo tools that previously were an additional cost on your contract, often at least $10k a piece, are now all unlocked for your use. The most common of these tools we see client’s utilizing are:

• Campaigns App
• In-Line editor
• Form Builder
• DDX Bricks
• Data Science tiles

Conclusion

By optimizing how and when data processes are executed, leveraging more efficient tools like Views, training so that your team has a better understanding around credit usage, and utilizing all Domo tools available, you can optimize your current setup and ensure to get the most value from your Domo investment.

For assistance optimizing your Domo instance for credit consumption or a guide in exploring other Domo features, talk to a Graphable Domo consultant!

Need help unleashing the full power of your data? Learn more about our Data Analytics Consulting services.