Introduction PEGA Decisioning
NBA & Prediction Studio
1
Overview of NBA – Next Best Action
2
Real-Life NBA Usage
3
Decisioning Studios – CDH & Prediction Studio
Application Architecture
1
PEGA’s DMSample Application
2
Creating our new Decisioning Application
3
NBA Class Structures & Data Types.
4
Walkthrough of ADM Service Infrastructure
5
Configuring the DDS Node in the Cluster
Proposition Management
1
Overview of Proposition Management
2
Adding a new Business Issue
3
Adding a new Business Group.
4
Adding a new Property.
5
Uploading Propositions from CSV.
Proposition Data & Decision Data
1
Versioned Proposition Data
2
Unversioned Proposition Data
3
Getting started with Decision Data
4
Copy Proposition Groups.
Working with Data Sets
1
About Data Sets
2
Types of Data Sets
3
Copy Proposition Groups.
Configuring the Data Flows
1
About Data Flows
2
Types of Data Flows – Internal & External
3
Configuring the Incoming Data
4
Applying Data Flow Actions – Compose, Convert, Merge
5
Applying Data Flow Actions – Strategy, Data Transforms
6
Filters & Abstracts
7
External Data Flows
Using the Event Strategy
1
About Event Strategy
2
Differences between Strategy & Event Strategy
3
Event Strategy Actions – Filter, Lookup, Split
4
Event Strategy Actions – Split & Join, Window, Aggregate
Using the Strategy
1
About Strategy
2
Strategy Shapes – Sub Strategy, Prediction, Import
3
Strategy Shapes – Business Rules, Decision Analytics
4
Strategy Shapes – Enrichment, Arbitration
5
Strategy Shapes – Selection, Aggregation
Modelling Decisions – Adaptive Models
1
About Adaptive Models
2
Adaptive Models – Predictors
3
Adaptive Models – Context
4
Adaptive Models – Outcomes
5
Adaptive Models – Monitoring
6
Interaction History & Table
7
Customer Responses
8
Configuring Self-Learning Models
Modelling Decisions – Predictive Models
1
About Predictive Model
2
PMML Schema and Modelling
3
Predictive Models – Monitor
4
Predictive Models – Model
5
Predictive Models – Input Mapping
6
Predictive Models – Parameters
Modelling Decisions – Text Analytics
1
About Text Analyzer
2
Text Analytics & Extraction
3
Analysing a Text File
Using the Prediction Studio
1
Analysing Adaptive Model Performance
2
Analysing Predictive Model Performance
3
Analysing Text Extraction Performance
4
Propensity Score Calculation.
Treatments and Actions
1
Defining and Managing Customer Actions
2
About Treatments & Types
3
Presenting Offers via Treatments.
4
Outbound & Multi-Level Campaigns
Engagement & Contact Policy
1
Creating an Engagement Strategy
2
Creating a Contact Policy
3
Understanding Volume Constraints
4
Understanding Proposition Eligibility Rules
5
Simulations & Segmentations
Containers
1
Types of Artifacts and Containers
2
Using the Realtime Container
3
Action Arbitration and Intelligence
Be the first to add a review.
Please, login to leave a review
Related Courses
Hot
PEGA PRPC >
With no prior experience, you will have the opportunity to walk through hands-on examples with Hadoop and Spark frameworks, two of the most common ...
Add to Wishlist
INR. 25,000
INR. 22,000
