It is based upon the fact that customer expectations have changed across businesses and sectors, with customers now expecting the same kind of engagement from financial institutions that they do with other products or services.
You may have the best possible CRM solution on the market, a deep vertical award-winning software geared to meet your every need. What you will always struggle with is poor user adoption.
The private banking industry uses all sorts of labels, from Concierge Service and Platinum Service to High-End, Superior, Luxury or Premium Service, to describe something very elemental: The need for customers to feel special. We get that.
Salesforce, for example, always manages to make us smile. Last year, the question posed by its co-CEO after his company acquired MuleSoft for $6.5 billion was: “…this is integration software, what does that have to do with CRM?”
Data migration involves a change in storage and database or application, which is what makes it a potentially complicated process. This is why we, at NexJ Systems, adopt industry best practices while managing migrations from legacy systems, using our extensive tooling and significant experience with client data encompassing a varying degree of size and scope.
Take Machine Learning and Deep Learning, both of which make an appearance whenever a discussion of AI begins. What defines Machine Learning? How does it work? Isn't Deep Learning just another form of Machine Learning? We thought it made sense to try and simplify answers to those knotty questions. So, here goes.
Today, firms have access to information at an unprecedented level and must contend with a highly regulated industry as well as the commodification of products and services. For a CRM solution like NexJ, this represents a challenge as well as a great deal of opportunity, because more information about a customer is a powerful tool when used effectively.
info@nexj.com
NexJ Systems Inc.
10 York Mills Road, Suite 700
Toronto, Ontario M2P 2G4
Canada
P: +1 (416) 222-5611
F: +1 (416) 222-8623
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