Press Release | 5 Apr 2021

Netcore Turns to Vertica for Blazing-Fast Analytics and Highly Accurate AI Models

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Vertica’s Ability to Read Massive Volumes of Data at High-Speed Provided the Right Solution for the Right Challenge

Santa Clara, CA – April 5, 2021 – Vertica today announced that its core analytics platform has been selected by Netcore, a global Martech product company that helps business-to-consumer brands create amazing digital experiences, to optimize performance leveraging several key features. Netcore’s clients use its solutions to plan, execute, and monitor marketing campaigns across different channels such as Email, SMS, App, and WhatsApp. The company turned to Vertica to reduce AWS costs, increase efficiency, and accelerate the creation and training of new machine-learning models.

Given limited budgets, the key ROI challenge for Netcore clients is to target the right customers, at the right time, on the right channels, and with the right message to maximize response rates and conversions. To protect data and enable faster recovery in the event of unplanned downtime, Netcore uses Vertica in Eon Mode, which stores a copy of all data in a shared S3 storage environment.

Kalpit Jain, CEO of Netcore Solutions, says, “Netcore has always enabled clients to achieve a better return on investment for their marketing budgets. With our new AI powered offerings within Raman, helped by Vertica technology, we are making marketing automation faster, smarter, and more sophisticated. Ultimately, this helps our clients to deliver relevant offers and promotions to their customers, boosting both profitability and customer satisfaction.”

Critical Success Factors include:

  • 11x boost in query performance
  • 10-20x reduction in weekly model refresh time
  • Saves time and AWS resources with internal analytics and efficient Python integration
  • Cuts time to market for new AI-powered solutions

“The performance boost from Vertica has been exceptional, with many jobs running more than ten-times faster,” says Debapriya Das, Head of Machine Learning at Netcore Solutions. “And because we no longer need to pre aggregate the data, we can build deeper and more sophisticated models that empower our clients to reflect the real world more closely… Vertica’s flexibility, built-in analytics modules, and performance helped us build a very time- and cost-efficient solution for our clients.”

Additional Information

Read the case study. For more information about Vertica, please visit www.vertica.com and for Netcore, visit us.netcorecloud.com.

To learn more about Vertica on Twitter, please follow @VerticaUnified and join Vertica on LinkedIn.

About Vertica

The core analytical platform within the Micro Focus software portfolio, Vertica is the Unified Analytics Platform, based on a massively scalable architecture with the broadest set of analytical functions spanning event and time series, pattern matching, geospatial, and end-to-end in-database machine learning. Vertica enables many customers – from Philips to The Trade Desk to MassMutual to many others – to easily apply these powerful functions to the largest and most demanding analytical workloads, arming businesses and its customers with predictive business insights faster than any data analytical platform in the market. Vertica provides its Unified Analytics Platform across all major public clouds and on-premises data centers and integrates data in cloud object storage.

About Netcore

Netcore is a global Martech product company that helps B2C brands create amazing digital customer experiences with a range of products that help in acquisition, engagement, and retention. The first and leading marketing automation and customer engagement platform, Netcore was established in 1997. With decades of experience and a 700+ team spanning across multiple geographies - Netcore is revolutionizing the way marketers and product teams engage with consumers, through its AI powered growth marketing platform designed to help marketers listen, analyze, and build 1:1 smart engagement.

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release-rel-2024-11-1-9470 | Wed Nov 6 17:48:07 PST 2024
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