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Customer Decision Hub

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Customer Decision Hub is a solution that combines data management, decision management, and advanced analytics across multiple channels. CDH is fully integrated with Pega Platform and can utilize many of its features to ensure that decision-making in your application is always driven according to the Next-Best-Action principle. You can use Pega Platform to build your own decision-making hub that quickly and accurately provides the most relevant value-added decisions.

Customer Decision Hub comes as part of Pega Marketing by default. CDH can also be added to Pega Strategic Applications, such as Pega Customer Service or Pega Sales and Onboarding.

  • Creating simulation tests in Customer Decision Hub

    Create a simulation test to understand the effect of business changes on your decision management framework. For example, you can create a simulation test to investigate whether the introduction of a new business logic affects the frequency with which propositions would be offered across a segment of customers. When you complete a simulation test, you can view its output in Visual Business Director or in the simulation testing UI. You can also save the results to a data set for further processing.

  • Managing simulation tests in Customer Decision Hub

    You can perform various maintenance tasks on the simulation tests that you created in Customer Decision Hub to quickly and effectively manage simulations in your application.

  • Adaptive analytics

    Adaptive Decision Manager (ADM) uses self-learning models to predict customer behavior. Adaptive models are used in decision strategies to increase the relevance of decisions.

  • Predictive analytics

    Predictive analytics predict customer behavior, such as the propensity of a customer to take up an offer or to cancel a subscription (churn), or the probability of a customer defaulting on a personal loan. Create predictive models in Prediction Studio by applying its machine learning capabilities or importing PMML models that were built in third-party tools.

  • Analyzing natural language

    Effortlessly analyze and extract meaningful information from large volumes of text with the use of text analytics. Based on your findings, you can further improve business performance and customer experience.

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