Financial Services Hyper-Personalization Proof-of-Concept

For small to medium financial services organizations embarking on their data-mesh-powered hyper-personalization journey, Thoughtworks provides a 4-6 week proof-of-concept delivery so you can prove the value of hyper-personalization products before making bigger investments.

By the end of this engagement, you’ll be able to show the business value of the implemented use case by using key performance indicators (KPIs) from a set of BIAN-compliant data products, powered by Thoughtworks’ financial services data accelerator. You’ll also create the foundational data and continuous delivery infrastructure to deliver future use cases with agility.

Sample agenda

Here’s what you can expect during the 4-6 week proof-of-concept delivery.

• Identify the priority use case and KPIs.
• Identify data products that address the use case.
• Layout the data and CI/CD infrastructure foundation.
• Develop data products and applications to address the priority use case.
• Regular showcases as the team builds the proof-of-concept.
• Iterative improvement to the solution, based on showcase feedback
• Measurement and reports that highlight the value delivered, using product KPIs.
• Creating a roadmap to deliver future use cases.

Deliverables

An executive readout showcasing:

• Details of the approach and implemented use case for the data journey.
• Business outcomes achieved and value delivered through the pilot.
• Investment roadmap for future projects.

A working, proof-of concept:

• Underlying infrastructure foundation required to deliver the selected use case.
• Production-grade proof-of-concept of hyper-personalization data products.
• Data product consumers - personas, needs,SLO (service level objectives).
• Data product interaction map for the prioritized use cases.
• Conceptual architecture for the Self serve platform.
• Logical architecture for the data products.
• Federated governance model.

A documented methodology:

• Ways of working to implement solutions from the use case backlog.
• Operating model to scale delivery for the entire product portfolio.

Applicable areas

Your organization will be interested in financial services hyper-personalization proof of concept, if you aspire to:

• improve data quality by implementing a flexible data-ownership framework;
• implement data mesh with the pioneers of the concept;
• harness the power of democratized data products;
• deliver customer-focused data-driven solutions;
• or drive data-driven decisions in your teams.

Applicable AWS products and services

During this enagement we'll advise you on AWS products and services such as Redshift, S3, EKS, ELB, EC2, RDS, EBS, IAM, CloudWatch, Cognito which we can employ to deliver the proof-of-concept.