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.
Today’s analytics environment is more data-hungry than ever. Data sources abound, and advancements in Machine Learning and AI have given way to more sophisticated models and a need for businesses to be able to quickly process more data than at any other time in history. So it’s no surprise that IT and engineering teams are being pushed to the limit trying to maintain the performance of their BI tools to keep up with the evolving needs of the analysts using them.
Kyligence helps companies tackle this challenge by delivering a purpose-built platform for accelerating and scaling analytics on datasets of any size for every major BI tool.
Kyligence’s Augmented OLAP approach to Big Data provides teams using Qlik the fastest analytics experience when working with extreme data volumes.
With Kyligence, analysts enjoy access to instant insights no matter how complex their work, while IT teams are able to simplify the management of their business’ analytics infrastructure, saving substantial time and budget. Adopting Kyligence into your Qlik analytics environment gets you:
Get the full picture of how Kyligence enhances BI performance on Big Data with this solution overview for accelerating analytics on Qlik with Kyligence.