NexJ Systems Inc.

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Vertical CRM: Because When Did One Size Ever Fit All?

Our CRM capabilities and features are targeted towards a specific set of users, job requirements, or departments within an organization.

How does NexJ do it?

In: Insurance
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For The Record, Continuous Deployment Can Lead To Continuous Benefits!

It makes perfect sense here too, because a Continuous Delivery Pipeline is nothing but a set of steps that code changes must go through to make their way to production. This Pipeline has four elements — Continuous Exploration (CE), Continuous Integration (CI), Continuous Deployment, and Release on Demand.

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Financial Services Need To Take Compliance Seriously Because The Benefits Are Very Real

We empathize. Really, we do. We are an award-winning software company thanks to CRM products that help financial services organizations globally, which is why we empathize the minute ‘compliance’ is mentioned. 

In: Finance
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Next Best Action: Smarter, Faster, And Really, Really Good For Business

Picture this: You, an advisor at a financial services firm, are interacting with customers. You have at your disposal an enormous amount of information related to their likes and dislikes, along with a comprehensive overview of their finances. 

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Continuous Integration, Continuous Delivery, and Continuous Deployment

The Financial Services industry is a fast-paced environment. With constantly changing and increasing compliance regulations, client expectations, and access to information, financial services organizations need access to the newest and best tools. 

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NexJ’s Dynamic, Flexible, and Centralized Security Model

The increasing popularity of internet banking and mobile access are paired with increasing regulation and scrutiny. This means both more possibility for issues and more consequences when issues arise. NexJ enables firms to manage and protect information with a robust, centralized security model.

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British Airways Just Learned A Lesson That Financial Institutions Figured Out A Long Time Ago

This is a question that increasingly occupies a lot of minds across industries. For financial service providers, it depends on not just how their customer data is stored and protected, but how it is processed and used on a day to day basis. 

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The Language Around Cloud (And Other Things That Drive Solution Architects Crazy)

I am often reminded of a specific parable whenever someone drops the words 'cloud', 'private cloud', 'hybrid cloud' or 'SaaS'. It's the one about the blind men and an elephant, who describe the animal based on which part of its anatomy they feel, then come to blows because they assume the others are being dishonest. 

In: Insurance
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Are You Ready For Open Banking? Because You Really, Really Should Be

A lot of people have the misconception that getting banks to change is like pulling teeth. It's a misplaced analogy, first because banks really are more open to embracing emerging technologies than most people think, and second because the last time pulling teeth was painful was probably around 1846, when the first successful surgical procedure was performed with anesthesia.

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Invested Users: Best Practices of Maximizing User Adoption, Part 2

In my last blog, I discussed NexJ's first three best practices of user adoption, and why developing, analyzing, and aligning are crucial steps in the process of engaging your users with your CRM. Today, I'd like to discuss the next three of the 9 best practices for user adoption, which are planning, partnering, and encouraging.

In: Finance
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Invested Users: Best Practices of Maximizing User Adoption

In a previous blog, I discussed how to measure your user adoption rates, and the effectiveness of comparing quantitative and qualitative results. Because users can log into your CRM system, without actually using it, it's possible to have extremely high quantitative results without having high user adoption.

In: Finance
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Riding the Wave: Enterprise Computing in 2018

Enterprise computing is undergoing a revolution, but it’s not the first.  It has undergone a number of phases, or waves, throughout its history, each looking to introduce efficiencies in how we work. The first two waves of computing were centered on the back-office. 

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NexJ: Delivering Industry Leading CRM

To deliver optimal value to our customers, NexJ leverages our vast experience in deploying our software at the most recognized financial services firms in the world, our strict focus on addressing the specific business needs of the sub-vertical markets within financial services and our fervent passion for innovation.

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Improve Machine Learning Effectiveness with a Feature Catalogue

Analytics and machine learning are all about data.  The quality and quantity of your data plays a critical role in determining the effectiveness of the models.  But even with reams of the best data, if your process doesn’t use it properly, your results will be dubious.

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Martin Sykora on Data Management Radio-The Rise of Jupyter Notebooks!

http://dmradio.dataversity.net/julia-python-r-the-rise-of-jupyter-notebooks/

Click above to listen to Martin Sykora, on DM Radio. Martin joins the discussion at the ten-minute mark, and for the roundtable discussion at the 49-minute mark!

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The Great Wealth Transfer

In "The Great Wealth Transfer is Coming, Putting Advisers at Risk," an article in Investment News, they pointed out that 66% of heirs fire their parents' financial adviser after they receive an inheritance. Marketing Wiz's "The State of Independent Financial Marketing" whitepaper discusses how every day, $2 billion in assets move from Baby Boomers to Generation X and Generation Y heirs. Combining these two statistics paints a concerning picture for financial advisors. How can Wealth Management firms address the needs of these inheriting children, to prevent losing 66% of their asset base?

In: Finance
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Disruption in Motion: Chief Data & Analytics Officer Financial Conference 2018

The customer experience, now more than ever, is the bar we use to predict the health and growth potential of a business. Most major financial institutions are taking this to heart by adapting their services to deliver the “delightful” customer experience we’ve come to expect as consumers (think Amazon, Netflix, and Uber.) I was reminded of the sea change that is moving our industry towards intelligent customer management while at the Chief Data Analytics Officers (CDAO) event in Boston last month. I contributed to a panel discussion about the emergence of machine learning in financial services, where I was joined by industry peers with first-hand experience transforming their business with data-driven insights. The efforts of fellow panelists and thought leaders, like José Murillo of Banorte, were on full display. Our lively exchange made clear that the disruptive forces of Artificial Intelligence (AI) and Machine Learning are here to stay.

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Recapping CDAO: Examining the Transformation of Risk Management

Last week's CDAO presentation on Single-Family Data Governance & Management by Freddie Mac illustrated how traditional back office activities are aligning and impacting front office processes.  We continue our recap of lessons learned at CDAO with this week's focus on risk management. This April, we were delighted to attend as well as participate in the Financial Services-focused Chief Data & Analytics Officer conference in Boston.  This annual gathering brought together senior-level data practitioners in financial services to share their latest innovations, best practices, challenges and use cases.  The concept of monetizing or commercializing data assets is revolutionizing the Financial Services industry by using governed data strategies partnered with business initiatives to realize data-driven transformation benefits.

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