Best practice data models for AI powered customer centric decisioning
Pega has constructed industry specific data models for customer centric decisioning based on best practice synthesized from tens of implementations at many of the world’s most innovative organizations.
The models were constructed following an outcome-driven design process:
- Start with outcomes to determine what real organizations want to achieve
- Define the actions required to deliver those outcomes
- Determine the decisions required to prioritize the right actions
- Analyze the predictions necessary to drive the right decisions
- Synthesize the data required to drive these predictions
The result is detailed and robust data models that describe the most critical attributes required to deliver the outcomes that will enable enterprises to transform their business performance.
The tables below show examples of the types of data contained within the financial services model, including data describing the customer, data describing the products or services that the organization has provided to the customer, and behavioral data covering key aspects of how the customer has interacted with the organization.
•Relationship start date
•Relationship length in days
•Available credit line
•Average monthly balance
•Average yearly balance
•Web visits last 30 minutes
•Web visits last 7 days
•Web visits last 30 days
•Web visits last 90 days
•Cards page visits last 30 minutes
•Cards page visits last 7 days
•Cards page visits last 30 days
•Cards page visits in the last 90 days
Our detailed data models describe how this data should be used, how it should be ingested, and how it should be calculated.
As with any other Pega implementation, you can start with the data that is easily accessible in your organization, taking advantage of more of the data model as more attributes become available.
If you are a Pega partner or client you may download the Financial Services and Communications Customer Analytical Data Models from the Business Excellence page.