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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Amazon Personalize

    Score9.6 out of 10
    N/AAmazon Personalize uses machine learning algorithms to create recommendations that respond to the specific needs, preferences, and changing behavior of users in real-time, to drive increased customer engagement.N/A

    Pega Customer Decision Hub

    Score7.4 out of 10
    N/APega 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.

    $97

    Per User Per Month

    Pricing
    Amazon PersonalizePega Customer Decision Hub
    Editions & Modules
    No answers on this topic
    Case Management
    $97.00
    Per User Per Month
    Unified Messaging
    $145.00
    Per User Per Month
    Enterprise
    $165.00
    Per User Per Month
    Digital Customer Engagement
    $260.00
    Per User Per Month
    Offerings
    Pricing Offerings
    Amazon PersonalizePega Customer Decision Hub
    Free Trial
    NoNo
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details
    More Pricing Information
    Community Pulse
    Amazon PersonalizePega Customer Decision Hub
    Considered Both Products
    Amazon AWS
    No answer on this topic
    Pegasystems
    No answer on this topic
    Key User Insights
    Would buy again
    100%
    Would buy again
    5 Answers
    No answers on this topic
    Delivers good value for the price
    No answers on this topic
    No answers on this topic
    Happy with the feature set
    100%
    Happy with the feature set
    5 Answers
    No answers on this topic
    Lived up to sales and marketing promises
    No answers on this topic
    No answers on this topic
    Implementation went as expected
    No answers on this topic
    No answers on this topic
    Best Alternatives
    Amazon PersonalizePega Customer Decision Hub
    Small Businesses
    No answers on this topic
    Simplify360
    Score7.8 out of 10
    Medium-sized Companies
    No answers on this topic
    Braze
    Score8.9 out of 10
    Enterprises
    No answers on this topic
    SAP Service Cloud
    Score8.5 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Amazon PersonalizePega Customer Decision Hub
    Likelihood to Recommend
    9.7
    (5 ratings)
    8.3
    (9 ratings)
    User Testimonials
    Amazon PersonalizePega Customer Decision Hub
    Likelihood to Recommend
    Amazon AWS
    Well suited for vast business needs, Less suitable when planning for small limited business requirements. However, if the business is vast & the business requirements become vast, its easy to comprehend with Amazon Personalize, as most of the functions would be pre-built & as users, we can customize to our needs to meet business demands.
    Incentivized
    Read full review
    Pegasystems
    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.
    Incentivized
    Read full review
    Pros
    Amazon AWS
    • Ingest virtually unlimited quantities of transactional data.
    • Provide world-class training capabilities.
    • Provide a free-tier to start your project.
    Incentivized
    Read full review
    Pegasystems
    • Ability to design custom integrated campaigns
    • Analytics to provide key insights and ability to tune your campaign accordingly
    • Ability to design agent workflows
    Incentivized
    Read full review
    Cons
    Amazon AWS
    • Repetitive Recommendations.
    • Needs to improve the search speed.
    • Costly to purchase.
    Incentivized
    Read full review
    Pegasystems
    • 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.
    Incentivized
    Read full review
    Alternatives Considered
    Amazon AWS
    Easy to integrate with existing applications, Easy to personalize for new users, Batch deploy, good recommendations and good suggestions based on current requirements, business goals get easy prioritized based on user needs and recommendations, it can work with existing tools and easily adapt the details and requirements from the existing tools.
    Incentivized
    Read full review
    Pegasystems
    I explained in detail in previous questions.
    Read full review
    Return on Investment
    Amazon AWS
    • We managed to analyze huge amounts of data from transactional records.
    • We produced 5 different user/profile segments for our marketing team.
    • We learned how to power marketing predictions using machine learning.
    Incentivized
    Read full review
    Pegasystems
    • Cost savings on print marketing and email due to better targeting
    • More timely campaigns to reach customers at the right time
    Incentivized
    Read full review
    ScreenShots

    Pega Customer Decision Hub Screenshots

    Product screenshot