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.
Marvel is a very strong tool in scenarios where designers seek to quickly create simple prototypes on their desktops using a simple, intuitive interface. It offers “just enough” functionality to create somewhat realistic designs to present to stakeholders and other designers. However, there’s a limit to how “realistic” those designs can be, given that Marvel has somewhat limited functionality around animations. Marvel is not a strong option for those who want to create very complex prototypes with many animations, or for those who want to edit prototypes on their tablet or phone. Marvel is a jewel for simplicity but starts to be difficult to use when creating complicated designs. For creating more complicated prototypes, I would recommend a more robust tool, such as Axure.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
I really miss being able to duplicate, make a copy of the prototype I'm working on. Sometimes, I want to make a comparison with detail changes and without being able to duplicate it is difficult.
Compared to other similar services, I feel the animations could be more fluid and smoother.
It could have more free sophisticated icons and images.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Ultimately, InVision was just a better fit for our company's needs. It's probably faster to create prototypes using Marvel, but InVision's collaboration features (comments, notes, etc.) are much more robust, which was helpful for our large team spread across multiple continents. InVision also offers more advanced features, and Marvel felt a little too limited for our overall business needs.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
