Like many enterprises, you are likely using CRM software from one of the big vendors who create horizontal solutions (solutions designed to meet the lowest common denominator across the largest pool of customers) to maximize their reach. These solutions require expensive customizations to meet the specific needs of your firm or your industry. Customizations are also difficult to maintain and often fail to adapt to a changing demographic.
Technical people talk about continuously integrating, delivering, and deploying, but what does any of that mean? And what difference does it make?
Vertical CRM supports the customer relationship management needs of a single industry, or vertical. Its capabilities and features are targeted towards a specific set of users, job requirements, or departments within an organization.
With constantly changing and increasing compliance regulations, client expectations, and access to information, financial services organizations need access to the newest and best tools. But in responding to that need, some of the newly created software terms can be confusing and highly technical, such as continuous integration, continuous delivery, and continuous deployment.
With the move towards open systems, security is more important than ever to the financial services industry – an industry where security has always been important. 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.
Financial institutions have long recognized that the desire of consumers to access valuable data on mobile devices and the increase in popularity of cloud technologies leads to all kinds of challenges. The threat landscape now includes increasingly sophisticated cyber-attacks.
This blog takes a closer look at differences between the public cloud, private cloud, and hybrid cloud. For more information, contact NexJ Systems Inc. today.
Data and cloud computing with flexible storage and computing power are driving the fourth wave. NexJ’s focus on integration positions our intelligent customer management products well for this new revolution in computing, in which front-office users are guided through proven best practices to deliver intelligence at point of service.
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. All stages of the process must not only use the exact same data but the same interpretation of its meaning.