Domo
JUNE 8, 2021
To unlock that power, business leaders are embracing and implementing advanced embedded analytics solutions such as Domo Everywhere , which provides an environment where enterprises can safely and securely share data with one another so they can grow together. To watch “Revolutionizing Embedded Analytics,” go here.
Timo Elliott
JANUARY 6, 2022
If storage costs are escalating in a particular area, you may have found a good source of dark data. If you’ve been properly managing your metadata as part of a broader data governance policy, you can use metadata management explorers to reveal silos of dark data in your landscape. Analyze your metadata. Create a catalog.
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Domo
JUNE 15, 2022
That means your data apps can run on Snowflake right alongside data stored in Domo—and even alongside your Databricks lakehouse—in one seamless experience. No moving or copying data—ever. And thanks to Domo’s Data Governance Toolkit , you can maintain data health and accuracy, no matter where it goes. .
Domo
APRIL 5, 2024
Data + Domo Everywhere = Sharing insights, expanding horizons When you share your data, you amplify its value. Our enhancements to Domo Everywhere, our embedded analytics solution, are all about breaking down barriers so you can collaborate on data insights beyond the confines of your organization.
Domo
JULY 1, 2021
As you review new features, consider where your data has potential for exposure. With every new feature that is released, from low-code apps to cloud data warehouse integrations to embedded analytics, Domo bakes in ongoing review of security standards to ensure security compliance. Can I avoid turbulence?
Domo
JULY 8, 2021
Domo allows you to integrate seamlessly with cloud data warehouses such as Snowflake and Amazon Redshift with both federated data queries and a native integration, so there’s no need to move data to make it accessible for business intelligence.
Sisense
OCTOBER 14, 2020
Today, data teams form a foundational element of startups and are an increasingly prominent part of growing existing businesses because they are instrumental in helping their companies analyze the huge volumes of data that they must deal with.
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