Data Warehouse Digital Embedded Analytics 
Sisense
DECEMBER 3, 2019
The rapid growth of data volumes has effectively outstripped our ability to process and analyze it. The first wave of digital transformations saw a dramatic decrease in data storage costs. On-demand compute resources and MPP cloud data warehouses emerged. Unleash the power of advanced analytics.
Sisense
JANUARY 1, 2020
Speaking of building cutting-edge products, in 2020 embedding analytics is just the start. Next-level developers build actionable analytic apps, allowing users to combine the insights they need with the ability to take instant actions. 5 Advantages of Using a Redshift Data Warehouse. Yes — digital transformation.
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Sisense
MAY 21, 2020
The movement of data from on-premise systems to the cloud is imperative; the cloud market is nearly $250B and is growing quickly. Today, the ongoing shift to enable digitization into the cloud is seen as a primary way to modernize products and service offerings.
Domo
JULY 28, 2022
Domo recently sat down with Ron Kost, Trimble’s director of business intelligence (BI), to better understand his company’s journey with Domo Everywhere , the embedded analytics tool that helps organizations quickly and easily share data with partners and automate routine tasks.
Domo
JUNE 15, 2022
Here’s a more detailed look at the primary ways Domo’s multi-cloud capabilities can benefit your business: 1 – Integrate more data, faster. Whether you have a few cloud data warehouses or dozens, Domo connects to each one with ease, ensuring you don’t miss a single insight.
Domo
JULY 1, 2021
In a time when everyone is trying to realize the promise of digital transformation, many organizations are migrating their infrastructure to the cloud. One cloud may be designed using best practices for security, but another might cut corners, placing your sensitive data at risk. There’s also the issue of scale. Can I avoid turbulence?
Domo
OCTOBER 22, 2021
Even though technology transformation is enabling accelerated progress in data engineering, analytics deployment, and predictive modeling to drive business value, deploying a data strategy across cloud systems remains inefficient and cumbersome for CIOs. One of the key obstacles is data access. What is a data fabric?
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