Once enterprise data is poured into the data lake, it looks much as a large body of liquid would. Lots of water as far as the eye can see, without any distinguishing features.

To help businesses solve the problem of finding distinct and valuable meaning from a large amount of data, Kyvos Insights Inc. has just released version 5 of its business intelligence platform. It’s the latest product from a company focused on filling the gap for businesses seeking high-performing yet cost-effective BI solutions for data management.

“We solved that by building a BI consumption layer on top of big data,” said Ajay Anand (pictured, right), vice president of product management and marketing at Kyvos. “We deliver the capability of doing instant business intelligence on data at massive scale.”

Anand spoke with John Walls (@JohnWalls21) and Rebecca Knight (@knightrm), co-hosts of theCUBE, SiliconANGLE Media’s mobile livestreaming studio, during AWS re:Invent in Las Vegas. He was joined by Ankit Khandelwal (pictured, left), senior director of engineering at Kyvos, and they discussed how online analytical processing, or OLAP technology, provides speed and scale that users need and how major customers are reaping the benefits. (* Disclosure below.)

Scale and efficiency deliver ROI

Kyvos uses OLAP technology to build scalable BI for big data. OLAP’s flexibility and speed allow Kyvos to tailor its solutions to meet enterprise needs and provide a return on investment based on more efficient use of data-processing resources.

“Once the load actually reduces, then you can reduce the resources that you are actually consuming,” Khandelwal said. “That’s how we reduce the cost that is borne by the customer and that is giving them better ROI on the hardware they are investing in.”

The latest Kyvos release introduced elastic scalability for querying and improved workload segmentation, which reduced the possibility that one set of queries could drag down the speed of other teams in an organization. The company already has Verizon Communications Inc. and Walgreens Co. as customers, but financial institutions are finding use for the technology as well.

“We’ve got a bank that’s doing risk analysis as they look for new investments,” Anand said. “It used to take them days to do that risk analysis before they could make a decision. Now they can do it in seconds.”

Watch the complete video interview below, and be sure to check out more of SiliconANGLE’s and theCUBE’s coverage of AWS re:Invent. (* Disclosure: Kyvos Insights Inc. sponsored this segment of theCUBE. Neither Kyvos nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)

Photo: SiliconANGLE