Pega Customer Decision Hub optimizes customer lifetime value by providing an “always-on brain” to unify data, analytics, and channels into one connected experience. Customer Decision Hub collects data from every interaction as it’s taking place, combines that with the customer’s full interaction history to determine their current context, and then delivers nextbest-action recommendations. Pega aims to enable users to pivot between selling, serving, retaining, and nurturing in real time.
In today’s market, consumer brands with physical products are increasingly seeking innovative ways to engage digitally with their customers. A digital engagement platform is essential for providing interactive customer support and fostering brand loyalty. However, if your brand is in a growth phase and aiming to scale its customer service operations, in my opinion, it may be worth reevaluating the effectiveness of Layerise for this purpose. We found that while Layerise promises a suite of tools designed to digitize customer engagement, the platform may not be well-suited for brands at a scaling stage. In our experience, the features that seemed promising for individualized customer support do not always translate well when applied to a larger customer base. The complexities and nuances of scaling demand robust, flexible, and highly responsive tools, which, in our experience, Layerise has not consistently provided.
PRPC is a BPM and Case management suite from Pega Systems. Pega is a comprehensive suite which offers a unique theme of BPM development in the market. A no-coding approach based on rules with inheritance makes Pega a very powerful product but is very difficult to learn. Even, if we go to Pegasystems for training, we have to work on a project at least for a year to have some confidence. Areas where it requires improvements: 1) One of the first things that client's IT department questions about is proprietary BLOB column in PRPC, for them, it is a disadvantage, but as we all know BLOB is what makes the highly complex data model of any BPM application fit inside to a common schema which eliminates the help of a DBA. 2) Another area of improvement is: when using the wizards to generate rules (such as the connector wizards) you have to be careful about the level of coupling between the work object's data model and the interface's data model. This can also create maintenance issues. 3) The complete Pega suite of products have a long time to develop and deploy and it can be easily done using other low-cost software.
Pega Customer Engagement Suite is ready to use out of the box with several features, but custom development is always needed.
Although new features can be quickly implemented, they have to go through a screening Business analysis process, QA screening and SCRUM based development.
Pega eliminates the need for custom code, but there are rare cases where an specific requirement has little to no support from Pega, and implementing custom code can break OOB functionality and make the system unstable.