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NexJ Recognized by Aite Group
Aite Group, an independent research and advisory firm focused on business, technology, and regulatory issues and their impact on the financial services industry has announced that NexJ is the best in class CRM solution for large wealth management firms looking for prebuilt wealth management capabilities.
NexJ Systems Inc. is an innovative provider of next generation enterprise customer relationship management (CRM) applications for financial services, insurance, and healthcare.
Apart from its comprehensive functionality, NexJ was recognized for its wealth management domain expertise, ability to integrate to external and proprietary systems. Evaluating seven of the most important CRM vendors against 18 criteria, the Aite Group report, "CRM for Wealth Management: Approaching Total Practice Management", available for download, the company stated in a press release.
“Aite's Group's extensive research of the leading CRM vendors has resulted in an exemplary comparative report and NexJ is pleased to have been recognized as the best-in-class vendor," said Jason McDermott, Vice President, Finance Solutions, NexJ Systems Inc. "Financial services, and specifically wealth management, is an area where NexJ enjoys significant differentiation and we are extending our leadership position as we introduce new solutions to the market.”
CRM functionality that differentiated NexJ from the competition included the ability to automate the new account opening process to enable faster and more efficient client onboarding; cross-sell based on a queries across profile, interaction and transaction systems; and model and analyze relationships across the household. Aite Group is an independent research and advisory firm focused on business, technology, and regulatory issues and their impact on the financial services industry.
Recently, the company announced that it has successfully completed benchmark testing in the IBM (News
- Alert) lab. Its flagship solution NexJ Contact for Finance has exhibited outstanding performance when subjected to the workload of more than 65,000 concurrent online users. The solution demonstrate the results, maintains sub-second response times while processing more than 85,000 business transactions per hour. The results also show that the solution responsiveness up to a throughput of 250,000 transactions per hour.
Raju Shanbhag is a contributing editor for TMCnet. To read more of Raju’s articles, please visit his columnist page.

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