Hyper Personalization in Wealth Management powered by Medallion Architecture

Abstract

Hyper-personalization is transforming the Wealth Management industry, enabling Financial Advisors to reach their clients more effectively with the help of innovative technologies, such as artificial intelligence (AI), machine learning (ML), and the Medallion Architecture. The role of financial advisor(s) would be the first casualty of the technology. Autonomous robo-advisors are increasingly threatening to replace human financial advisors. This paper, therefore, examines how a Financial Advisor can put to work Medallion architecture, a scalable data lakehouse platform, to offer customized financial services to the affluent sector (requiring assets of between 1 million and 5 5million dollars) by processing large volumes of data, including transaction logs, market feeds, behavioral data, and lifestyle preferences. The Bronze, Silver, and Gold levels of the Medallion Architecture enable the creation of an effective data pipeline, facilitating data integrity, scalability, and cost minimization through the use of tools such as AWS S3, AWS Glue, and Databricks. By optimizing the process of data ingestion, transformation, and enrichment, this paper explains how the computational costs of hyper-personalization and advisor margins can be balanced, especially with mass affluent and affluent clients. It suggests the use of such strategies as Change Data Capture (CDC), parallel processing, and micro-batch methods, which would increase the performance without violating compliance and regulations. The article will present the practical consequences of using AI-based predictive analytics and multi-channel client interaction systems to provide scalable, context- sensitive financial advice and, thus, promote trust and customer loyalty within a competitive online ecosystem.