Course Description:
The Certified Pega Decisioning Consultant (CPDC) course is designed to provide in-depth knowledge and hands-on experience in Pega’s decisioning and customer engagement capabilities. This program equips participants with the skills to design, implement, and manage decisioning strategies using Pega Customer Decision Hub. Learners will gain expertise in predictive analytics, adaptive decisioning, next-best-action strategies, and real-time decisioning processes to drive business outcomes. The course combines theoretical concepts with practical exercises and real-time projects, ensuring participants are ready to implement Pega decisioning solutions effectively in real-world business environments.
Key Features of Course Divine:
- Collaboration with E‑Cell IIT Tirupati
- 1:1 Online Mentorship Platform
- Credit-Based Certification
- Live Classes Led by Industry Experts
- Live, Real-World Projects
- 100% Placement Support
- Potential Interview Training
- Resume-Building Activities
Career Opportunities After Certified Pega Decisioning Consultant (CPDC) Certified Course:
- Pega Decisioning Consultant
- Pega Business Consultant
- Pega Customer Decisioning Specialist
- Pega Decisioning Analyst
- Pega Decisioning Architect
- Pega Customer Engagement Consultant
- Pega CRM Consultant
- Pega Marketing Automation Consultant
- Pega Real-Time Decisioning Specialist
- Pega Next-Best-Action (NBA) Consultant
- Pega Predictive Analytics Consultant
- Pega Adaptive Decisioning Consultant
- Pega Customer Strategy Analyst
- Pega Implementation Consultant
- Pega Solution Designer – Decisioning
- Pega System Analyst – Decisioning
- Decisioning & Automation Specialist
- Pega Product Consultant – Customer Decision Hub
- Customer Experience & Decisioning Consultant
- Digital Transformation Consultant (Pega Focused)
Essential Skills you will Develop Certified Pega Decisioning Consultant (CPDC) Certified Course:
- Designing decision strategies using Pega Customer Decision Hub
- Implementing next-best-action (NBA) strategies
- Configuring predictive analytics models in Pega
- Implementing adaptive decisioning in real-time
- Understanding customer behavior and segmentation
- Analyzing decision outcomes and optimizing strategies
- Integrating decisioning with CRM and marketing automation
- Creating real-time decision flows
- Developing propensity models for customer interactions
- Managing business rules and decision rules efficiently
- Leveraging AI and machine learning in Pega decisioning
- Applying decision strategy testing and simulation
- Optimizing decision strategies for business KPIs
- Handling data mapping and decisioning data sources
- Monitoring decision strategy performance and KPIs
- Implementing Next-Best-Offer and Next-Best-Action campaigns
- Using decision tables and decision trees effectively
- Collaborating with stakeholders for solution design
- Troubleshooting decision strategy execution issues
- Applying regulatory and compliance requirements in decisioning
Tools Covered:
- Pega Customer Decision Hub
- Pega Predictive Analytics Designer
- Pega Next-Best-Action Designer
- Pega Decision Strategy Manager
- Pega Decisioning Simulator
- Pega Adaptive Analytics
- Pega Customer Analytics
- Pega Decision Tables
- Pega Decision Trees
- Pega Strategy Rules
- Pega Propensity Models
- Pega Offer Management Tools
- Pega Campaign Manager
- Pega Event Strategy Designer
- Pega Engagement Designer
- Pega Predictive Model Markup Language (PMML) Integration
- Pega Data Flows & Connectors
- Pega Business Rules Engine
- Pega Reporting & Dashboard Tools
- Pega Decisioning APIs & Integrations
Syllabus:
Module 1: Introduction to Pega Decisioning Overview of Pega Customer Decision Hub Decisioning concepts and components Understanding real-time decisioning vs batch processing Introduction to Next-Best-Action (NBA) strategy.
Module 2: Decision Strategy Design Designing decision strategies using NBA Designer Using decision tables, decision trees, and scorecards Creating and managing decision flows Best practices for strategy design.
Module 3: Predictive Analytics Introduction to predictive modeling in Pega Building propensity and predictive models Using Predictive Analytics Designer Integration of predictive models in decision strategies.
Module 4: Adaptive Decisioning Understanding adaptive analytics and real-time learning Implementing adaptive decisioning strategies Monitoring adaptive models’ performance Continuous improvement of decision strategies
Module 5: Customer Segmentation Defining customer segments and attributes Segment-based decision strategies Behavioral analysis and customer profiling Targeting strategies for personalized engagement.
Module 6: Offer and Campaign Management Creating and managing offers in Pega Implementing Next-Best-Offer (NBO) campaigns Event-driven campaign strategies Using Campaign Manager for decision execution.
Module 7: Integration with Pega Applications Integrating decisioning with Pega CRM and case management Using connectors and APIs for external data sources Real-time decisioning in multi-channel environments Data mapping and transformation
Module 8: Decision strategy simulation and testing Validating predictive and ad egy optimization based on KPIs Scenario-based testing for real-world use cases.
Module 9: Reporting and Monitoring Monitoring decision strategy performance
Creating dashboards and reports Analyzing decision outcomes Continuous optimization of customer engagement.
Module 10: Capstone Project & Real-Time Implementation End-to-end implementation of a decision strategy Integration with real-world business processes Hands-on projects covering NBA, predictive, and adaptive decisioning Best practices for deployment and maintenance.
Industry Projects:
- Designing a Next-Best-Action (NBA) strategy for a retail bank
- Implementing adaptive decisioning for an e-commerce platform
- Customer segmentation and personalized offer strategy for telecom
- Predictive model for churn prevention in a subscription-based service
- Real-time decisioning for cross-sell and up-sell in banking
- Campaign management and optimization for a digital marketing firm
- Integration of decision strategies with CRM and ERP systems
- Predictive propensity modeling for insurance claims
- Personalized recommendations for an online retail store
- Event-driven NBA strategy for customer engagement in telecom
- Decision strategy simulation and KPI-based optimization for sales
- Adaptive decisioning for fraud detection in financial services
- Real-time NBA implementation for travel and hospitality offers
- Customer loyalty and reward program decision strategy
- Multi-channel decisioning strategy for a healthcare provider
- Predictive modeling for loan approval and risk assessment
- Optimizing product recommendations using decision tables and trees
- Customer retention strategy using real-time decisioning
- Monitoring and reporting dashboard creation for decision outcomes
- Capstone project: End-to-end Pega Decisioning implementation for a business scenario.
Who is this program for?
- Aspiring Pega Decisioning Consultants
- Pega Business Consultants looking to specialize in decisioning
- CRM and Marketing Automation Professionals
- Business Analysts in Customer Engagement domains
- Data Analysts seeking decisioning and predictive analytics skills
- Solution Architects working on Pega Customer Decision Hub
- Project Managers handling Pega implementation projects
- Digital Marketing Professionals interested in Next-Best-Action strategies
- Customer Experience (CX) Managers
- Pega System Architects aiming to expand into decisioning
- Sales and Marketing Strategists
- Decisioning and Analytics Professionals
- Pega Developers wanting to implement real-time decision strategies
- Professionals in Banking, Insurance, Telecom, and Retail sectors
- Technical Consultants focusing on Pega solutions
- Professionals interested in AI-driven customer engagement
- Business Process Consultants working on customer-centric projects
- Data Scientists wanting hands-on experience with Pega predictive models
- Digital Transformation Specialists
- Functional Consultants aiming to design decision strategies
How To Apply:
Mobile: 9100348679
Email: coursedivine@gmail.com
