How Your CRM Manages Relationship Hierarchy Can Define How Well You Know Your Customers

Don't capsize your client relationships with poor info!

Trying to tell corporate and investment bankers about the importance of understanding their customers is a lot like listing the benefits of butter to a pastry chef. They get it. They know it really, really well. And yet, considering we are in the business of Customer Relationship Management, I sometimes can’t help but question what this means.

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Salesforce Customers Could Have Had A Better Week If They Had Picked A Private Cloud Solution

We saw the complaints online, read the messages on Twitter, checked out memes that circulated all weekend, and thought long and hard about the massive outage that affected a whole lot of Salesforce users. There were conflicting reports at first but, apparently, 

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Don’t use the same CRM they use for Hospitality! Use Financial Services CRM

 “VerticalCRM will be the preferred CRM Choice in the next three years”1

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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?

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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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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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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. 

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Invested Users: Best Practices of Maximizing User Adoption, Part 3

In my last blog [Invested Users: Best Practices of Maximizing User Adoption, Part 2], I discussed NexJ's second set of three best practices for user adoption, and why planning, partnering, and encouraging leadership are crucial steps in the process of engaging your users with your CRM.

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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.

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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.

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Next Best Decision Models

Some of you may be familiar with Next Best Action in the context of Sales & Marketing, where the consideration is which offer is most appropriate for which customer at a point in time. Extending Next Best Action to customer service seems a natural progression, considering the service representative is already engaged with the customer, and presuming the interaction went well, means extending the dialog with an appropriate offer. 

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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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