Gartner® Report: Hype Cycle™ for Analytics and Business Intelligence
“Adoption of cloud analytics is growing, with most analytics deployments originating in the cloud,” according to the Gartner report. “This Hype Cycle will help data and analytics leaders evaluate the maturity of innovations across the analytics and business intelligence space.”
Sigma is recognized as a Representative Vendor for the first time in the ‘Cloud Analytics’ category that emerged as a frontrunner with a high benefit rating and a market penetration of more than 50 percent.
Download this report to learn about:
- Sigma’s inclusion in the ‘Cloud Analytics’ category.
- The Gartner Priority Matrix to prioritize investments.
- Importance, drivers, business impact, and obstacles of AI & BI technologies.
Get your complimentary copy of the Gartner Hype Cycle now. Get a pulse of the emerging technologies to make data informed decisions and move your business forward.
Gartner, Hype Cycle for Analytics and Business Intelligence, 27 July 2023, Edgar Macari, Peter Krensky
GARTNER is a registered trademark and service mark, and HYPE CYCLE is a registered trademark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and are used herein with permission. All rights reserved.
Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
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Sigma is a cloud-native analytics platform that uses a familiar spreadsheet interface to give business users instant access to explore and get insights from their cloud data warehouse. It requires no code or special training to explore billions of rows, augment with new data, or perform “what if” analysis on all data in real-time.
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