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Kyvos Insights to Host Webinar on Best Practices for Implementing Self-Service, Interactive Business Intelligence on Big Data

Attendees will learn about the guiding principles and practices empowering some of the world’s best-known companies to drive enterprise wide adoption of big data

LOS GATOS, Calif. – Dec 11, 2017 – Kyvos Insights, a big data analytics company, today announced that it will host a webinar “Implementing BI on Big Data Best Practices” on Wednesday, December 13, 2017 at 1 p.m. Eastern time/10 a.m. Pacific time. Drawing on examples from the many enterprises that rely on Kyvos, the webinar will show how new technologies and practices enable organizations to provide self-service, interactive business intelligence (BI) on big data for thousands of concurrent users, including business users with little or no data science skills.

“The problem with self-service BI has always been two-fold: business users lack the technical acumen to parse data as they wish and even if they did, available SQL on Hadoop solutions slowed them to a crawl as concurrent access increased,” said Ajay Anand, vice president of products at Kyvos. “We’ve solved these issues and radically changed how our customers use their big data. Now thousands of business users can simultaneously, and quickly and easily, analyze massive data sets with hundreds of billions of rows and hundreds of dimensions – all with the nearly instantaneous responses times needed to drive business decisions that make an impact.”

Many Fortune 100 firms rely on Kyvos. Its breakthrough technology makes it possible to create data cubes with near limitless scalability and performance, and a BI Consumption Layer that enables them to be stored and managed with ease for unmatched levels of scalability, performance and support. Kyvos also provides row-and-column level access control to ensure the security of enterprises’ big data, and works with a wide range of BI tools, including Tableau, Microsoft Power BI, Microsoft Excel, Qlik, MicroStrategy, IBM Cognos and SAP Business Objects.

Presented by Anand, the webinar will be of interest to developers, data scientists, information technology (IT) professionals and any business users that need to interactively explore and analyze big data to develop real-time business insights. Some of the topics Anand will cover include:

  • The BI components of a big data solution, including data ingestion, ETL, governance, security, visualization;
  • Key performance metrics and service level agreements (SLAs) for a successful deployment;
  • Real world examples of how enterprises have implemented a BI Consumption Layer to drive enterprise wide adoption of big data

For more information on Kyvos Insights visit: https://www.kyvosinsights.com/

About Kyvos Insights

Kyvos Insights is committed to unlocking the power of big data analytics with its unique “OLAP on Hadoop” technology. Backed by years of analytics expertise and a passion for big data, the company aims to revolutionize big data analytics by providing business users with the ability to visualize, explore and analyze big data interactively, working directly on Hadoop. Headquartered in Los Gatos, California, Kyvos Insights was formed by a team of veterans from Yahoo!, Impetus and Intellicus Technologies. The company has partnered with companies including Cloudera, Hortonworks, MapR and Tableau. For more information, visit a www.kyvosinsights.com or connect with us on Twitter and LinkedIn.

About Impetus Technologies

Impetus Technologies is focused on creating big business impact through big data solutions for Fortune 1000 enterprises. The company offers a unique mix of software products, consulting services, data science capabilities, and technology expertise. It offers full life-cycle services for big data technology implementations, including technology strategy, solution architecture, proof of concept, production implementation, and ongoing support to its clients. To learn more, visit: www.impetus.com or write to: bigdata@impetus.com, and follow us on Twitter: https://twitter.com/impetustechand LinkedIn: https://www.linkedin.com/company/impetus.

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