Self-Service BI: Barriers of Deployment and How to Overcome Them

Self-Service BI: Barriers of Deployment and How to Overcome Them

Self-service BI gives business users opportunities to run their own queries, analyze data, build reports, and focus on insights that are most relevant to their lines of business. The best part is that business users can do all these things with minimal efforts from IT departments.

However, before companies rush into BI deployment projects, they need to make sure that a few important requirements are met.

No Results Found

The page you requested could not be found. Try refining your search, or use the navigation above to locate the post.

Riding the Data Wave: Use Cases and Potential of Data Lake

Riding the Data Wave: Use Cases and Potential of Data Lake

In this article, we discuss the benefits of a data lake over a traditional warehouse. See how data lakes can make life easier during company mergers and acquisitions, help reduce storage costs, and get your business ready for the boom in AI applications that’s just around the corner.

Data warehouse vs data lake: choosing the right data storage

Data warehouse vs data lake: choosing the right data storage

With the fast development of modern data storage solutions, two popular options have emerged: data warehouses and data lakes. While both store and manage large volumes of data, they differ in terms of structure, design, and use cases. In this article, we will explore the differences between the two storage solutions, as well as the scenarios in which one may be better than the other.