article thumbnail

Putting the Business Back Into Business Innovation

Timo Elliott

The industry analysts all have a similar vision of what that agile future of business looks like. Most innovation platforms make you rip the data out of your existing applications and move it to some another environment—a data warehouse, or data lake, or data lake house or data cloud—before you can do any innovation.

article thumbnail

Answers to Common Questions About Sisense for Cloud Data Teams

Sisense

It still supports creating and sharing advanced data visualizations. The Sisense vision for data teams is evolving beyond simply allowing them to uncover valuable insights in data. This new vision for translating insights to action is at the core of the Sisense’s understanding of the data and analytics process.

Vision 93
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Why CIOs Should Weave Data Fabrics Into Their Orgs

Domo

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. The bottom line.

article thumbnail

Top Data and Analytics Posts of 2019

Sisense

5 Advantages of Using a Redshift Data Warehouse. Whatever business you’re in, your company is becoming a data company. That means you need to put all that data somewhere. Chances are it’s in a data warehouse, and even better money says it’s an AWS data warehouse. A vision for the future.

article thumbnail

A New Brand for a New Actian Chapter

Actian

Besides offering the world’s (demonstrably) fastest cloud data warehouse , we have introduced several solutions that take on bigger data challenges for our customers, such as Real-Time Connected Data Warehouse , Legacy Data Warehouse Modernization , and Edge to Cloud Analytics.

article thumbnail

Deriving Value from Data Lakes with AI

Sisense

AI and ML are the only ways to derive value from massive data lakes, cloud-native data warehouses, and other huge stores of information. The right data and analytics platform can help you bridge the gap between your current AI and analytics paradigm and where you want your company to be in the future. .

article thumbnail

Meet Delta Sharing: Access more data with secure, open source data sharing

Tableau

Take advantage of the open source and open data formats of Delta Lake to make data accessible to everyone . Work with any data warehouse or data platform that supports Parquet. Databricks shares our belief in fostering a data culture to fuel innovation. Provide strong security, governance, and auditing.