3 Reasons Why Your Business Intelligence and Analytics Applications Are Too Slow
If your business intelligence applications are running slow, it may be due to these common Big Data analytics roadblocks. Learn how you can overcome them.
For most organizations, Microsoft Excel remains an analytics workhorse. But in the age of Big Data, many are finding that Excel struggles to keep up with modern analytics workloads. The good news is that you don’t need to adopt a whole new BI tool to work with Big Data or accept limitations on your work with Excel just to keep things running.
Enhancing your Excel deployment with Augmented OLAP analytics by Kyligence delivers the high-performance analytics experience your analytics team needs to do their best work, all without having to give up the features, capabilities, and ease-of-use Excel provides.
With Kyligence, teams using big data in Excel can enjoy the fastest and most scalable analytics experience when working on massive datasets.
On premises or on the Cloud, IT and data engineering teams can simplify their workflows, streamline BI tool management, and easily add new users without taking a hit to performance using Kyligence’s centralized Augmented OLAP platform for Big Data analytics.
Kyligence enables IT and their analytics teams to:
Learn how Kyligence allows you to do all of this and more with this Kyligence solution overview for teams using Excel for Big Data analytics.