In today's fast-paced digital world, the quest for superior customer support is relentless. Businesses are turning to innovative solutions to not only meet but exceed customer expectations. One of the most groundbreaking advancements is Generative AI. But how does this technology transform customer support? Let’s dive into one of Elevondata’s customer case study that sheds light on this revolution.


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Objectives:

Tradeday's primary objective was to develop a learning and practice platform that would guide users on how to analyze markets and execute trades effectively. Tradeday offers video lectures, educational documents, and up-to-date market information. Additionally, the platform opens different trading accounts for users to trade in simulated and funded environments.


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Investment Management is entering a new age with the ability to use previously untapped data streams (public and social data) to understand and correlate long and short trends as well as to manage risk. 

Today enterprises have to be more cautious in making decisions & are interested in tacit information in the form of graphical representation & analytics. The broadening on the Business Intelligence space has definitely offered an advantage. Though, what is often forgotten is any good data analysis tool is as good as how the analyzed data could be represented.

Business Needs

  • Data Lake for all Fund Performance, Trades, Risk, Finance, Customer Service, and HR data
  • Market and Research Data Quality

Key Features

  • Ingest 4 SQL Server instances, SharePoint, and Excel from managed data center into AWS Cloudera data lake and Redshift/SQL Server data marts
  • Data Governance and Information Access Security Program linked to new data platform to improve understanding and control
  • Managed AWS Cloud optimized for performance and availability at automated cost management

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Submitted by admin on Mon, 2016-05-09 17:18