Attendees will learn how to address the challenges that arise as more organizations move their big data to the cloud, but struggle to consume it and deliver business results
LOS GATOS, Calif. â€“ August 2, 2018 â€“ Kyvos Insights,Â a big data analyticsÂ company, today announced they will host a webinar titled â€śHow to Achieve Self-Service BI onÂ Big Data in the CloudÂ at Massive Scaleâ€ť on Friday, August 3, 2018 at 10:00 a.m. Pacific time, 1:00 p.m. Eastern time. The webinar will explore how to create a seamless architecture for business intelligence (BI) in the cloud.
More and more organizations are increasingly moving their big data to the cloud for the efficiency, elasticity, and agility it offers, but many struggle with how to consume that data, act on the insights within it, and deliver business results through BI. Notably, for most organizations, BI is crucial to their big data efforts. A recent survey from Kyvos Insights found that 70 percent of enterprises consider business intelligence the most important big data use case.
Presented by Ajay Anand, vice president of products and marketing at Kyvos Insights and Andrew Brust, analyst atÂ Gigaom Research, the webinar will showcase how organizations can leverage their cloud investments to get actionable insights, determine if existing BI tools perform at scale, and learn how to enable existing BI tools to work seamlessly with big data regardless of whether it is in the cloud or on-premise.
â€śAs companies continue to transition to the cloud, they need to be cognizant of whether or not their BI tools are working to their full potential,â€ť said Ajay Anand, vice president of products and marketing of Kyvos Insights. â€śSpecifically, this webinar will be of interest to those exploring the necessary steps they can take to build a self-serving BI platform for big data in the age of the cloud.â€ť
To register for â€śHow to Achieve Self-Service BI on Big Data in the Cloud at Massive Scaleâ€ť visit:Â https://www.kyvosinsights.com/webinar-how-to-achieve-self-service-business-intelligence-on-bigdata-in-the-cloud-at-massive-scale/.