Domo provides exciting data innovations that solve the three main problems that keep companies from empowering their entire workforce with data insights. Learn how Domo’s unique solutions can drive huge business benefits by removing BI friction from across the enterprise.
Most modern BI products will show people data that can help them make business decisions. But global enterprises have to think bigger and faster to succeed in a world where data never sleeps. Giving more users access to more data. Delivering timely insights so workers can be proactive, not reactive. Data governance at scale.
Domo delivers the innovative data platform that businesses are looking for—cloud native connectivity, interoperability, integrations, and extreme flexibility—that is setting the industry standard for frictionless BI.
Find out more in this on-demand virtual event: Domo Data Innovation Summit. Learn from Domo customers and product experts how innovations in data can directly drive huge business benefits by removing BI friction from across the business.
In just 60 minutes, you’ll see how these innovations broaden adoption of BI, enable proper data governance, and make data predictive. So, more employees can make data-driven decisions, and IT can sleep at night.
How Domo Brings Data to Life
Too much effort required to provide access to relevant data
Unable to govern and control data access at scale
Unable to get meaningful data in time to take action
Domo’s innovations solve all three problems with practical solutions that neatly remove the key sources of friction from the path to a data-driven business. Here is how we do it.
Enabling Self-service Analytics
Data lifecycles are long and complex. From start-to-finish data passes hands from data engineers to data scientists, to analysts, to departmental BI leads before ever reaching business users to take action. This pattern is common to many companies trying to unlock value from data.
Domo’s self-service analytics makes it easy for everyone to get the data insights they need without help from data engineers, data scientists, or even analysts. Business users without any technical skill can help themselves to fresh data and the details that matter to them, whenever they want it. This frees the technical teams to use their technical skillsets on advanced integrations, customizations, and predictive analytics projects.
How we enable self-service analytics
Variables lets analysts build interactive dashboards that are flexible enough to answer multiple business questions from business users in real time.
Dataset Views provides simple tools to quickly explore and wrangle data like an analyst without writing code.
Microsoft Office Add-Ins seamlessly connect Domo to MS Office Applications, making data accessible right where business users get work done.
Domo Everywhere let you build data dashboards that users can adjust and annotate.
Customized data apps give teams fully tailored experiences so they can build operational processes around data insights and access them anywhere.
Our customers are able to log into our app, click on their stats, and have immediate access to everything about their buyer network, their previous sales, as well as their tier within our buyer and sell structures. It’s driving interaction with our platform, and getting users to actually look for this information. We’re driving them to explore what they can do with their pricing strategies and geographic reach. I think it helps them not only expand, but improve their business as well.
Woods Denny | VP of BI, Data Science and Data Engineering at KAR Global
Using Data Apps to Overcome the Challenges of Modern Business
While businesses think they use their data wisely, they often encounter challenges. Learn about how data apps remove friction from the data lifecycle, how to implement data governance across the enterprise, and how to unlock data value to drive action, control, and outcomes.
Scaling Enterprise Data Governance
IT is unable to govern data access and ownership at scale. When everyone in the organization can own their own reports, it is impossible to guarantee that the data is trustworthy. And when data is replicated constantly, it is hard to ensure there are proper certification mechanisms in place.
Domo’s approach to data governance allows people across the organization to have access to and ownership of the data they need to do their jobs. Rules are created that cover the gaps when people change roles. This provides centralized data teams with distributed ownership and accountability while maintaining control and security.
How we enable data governance at scale
Group ownership of pages and datasets provides scalable and secure data governance.
Integration with SSO/active directory to align assignment of groups.
Governance toolkit provides logic of group membership assigned via automated jobs.
Certifications allow data to be trusted and sourced accordingly.
Sandbox helps create dev ops processes to govern the creation and publication of content.
We wanted to manage data as a corporate asset, and Domo was a good listener. They helped us draw a framework, an architecture, and a governance model that helped us achieve that.
Pedro Maia | Director of IT, Data, BI and Analytics at EDP Comercial
Becoming a Predictive Organization
Reports always seem to be looking backwards, showing what happened but coming too late to take action. Users need information that helps them be more proactive. Data should help them spot trends that could spell trouble—or opportunity—before it’s too late to do anything about it.
Domo provides multiple ways to empower users with timely, meaningful information. Self-service users can get most of the data they need, in the ways they need it, at a level of detail that they can actually use. And for more sophisticated reporting, Domo offers many advanced capabilities for your engineers and data scientists such as machine learning and high-speed data queries that can quickly identify anomalies and issues before they emerge.
How we enable predictive reporting
Alerting tells users what they need to know, right when they need to know it, using webhooks to trigger basic options.
Workflows go beyond simply reporting the information users need to know, by enabling the automation of other processes to take place inside and outside of Domo based on logical triggers and conditions.
Jupyter enables your high-code data scientists to use R and python packages and ML approaches so you can deploy predictive models into production more quickly. Once they have their code, they can schedule outputs to run so low-code users can leverage the new insight quickly in Domo.
Adrenaline DataFlows enable you to query billions of rows of data quickly to identify outliers and focus on specific issues without needing to review the entire dataset.
We can make decisions that affect operations today instead of saying, ‘Oh, if we knew this yesterday we could have done something about it.