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Understanding how Pega integrates with your systems

Updated on August 27, 2020

The Pega Customer Decision Hub for Financial Services application integrates with your existing systems to reference customer data. Pega Customer Decision Hub for Financial Services needs customer data to provide next best actions, support 1:1 Customer Engagement, and learn customer behavior by using predictive and adaptive analytics.

Pega Platform is a highly flexible software development platform that provides tools to integrate your data by using widely available industry protocols.

The following diagram shows a typical Pega Customer Decision Hub for Financial Services implementation:

Pega Customer Decision Hub for Financial Services integration layer

The data in your systems of record is usually extracted to a data warehouse or data lake for internal purposes. Typically, only a portion of this data is required by the Pega Customer Decision Hub for Financial Services application. Pega accesses the required batch data by using dedicated Pega Customer Decision Hub for Financial Services data integration components. Real-time data can be accessed directly from systems of record using web services technology. Your project objectives and data latency requirements determine your data access implementation.

After the source data is identified, data is loaded to the out-of-the-box customer analytical data store. This process restructures the customer data as "flattened" data objects that maximize performance and scalability while ensuring data integrity.

Note: Designing the customer analytical data store is an important part of project initiation and should be done in conjunction with your business and implementation partners.

The customer analytical data store is also referred to as the "spine table" or the extended Customer Analytics Record (xCAR).

  • Previous topic Pega Financial Services for 1:1 Customer Engagement Data Model Guide
  • Next topic Deployment options for storing customer data

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