Data Lakes: Steering the New Wave in Wealth Management Technology

Data Lakes: Steering the New Wave in Wealth Management Technology

By Craig Iskowitz and Henry Zelikovsky

The wealth management sector is witnessing a technological renaissance, and at the heart of this transformation is data. With the 20th anniversary of T3 being celebrated this week in Las Vegas, we thought the T3 Community might benefit from these thoughts regarding data lakes and a new wave in technology.

A CLEARLY DEFINED DATA STRATEGY IS PARAMOUNT

As we navigate through 2024, it’s clear that for wealth management firms looking to maintain growth, embracing data lakes is not just an upgrade, but a strategic necessity to stay competitive and efficient. However, a recent McKinsey survey found that less than 30 percent of financial services firms have a clearly defined data strategy. Any good data strategy must include a data lake since it can rapidly ingest all types of new data while providing self-service access, exploration and visualization enabling businesses to see and respond to new information faster.

THE IMPACT OF DATA LAKES IN WEALTH MANAGEMENT

So, what exactly are data lakes and why are they critical for a successful data strategy? Simply put, data lakes are vast, flexible repositories designed to store, process, and secure a large amount of structured and unstructured data. For wealth management firms, this means having a centralized hub where all client data, market trends, portfolio details, and even unstructured data like client communications can be stored. This centralized approach not only simplifies data management but also opens doors to deeper insights and more informed decision-making.

FROM BASIC TOOLS TO ADVANCED ANALYTICS

The shift from relying on traditional relational databases to data lakes marks a significant leap. While these basic tools have their utility, they fall short in handling the complex and voluminous data typical in wealth management. Data lakes, on the other hand, allow firms to aggregate data from these simpler applications and elevate their data analysis capabilities. This transition is not just about storing more data; it’s about unlocking the potential of this data to drive smarter, more client-centric decisions.

CUSTOM DASHBOARDS AND DATA INTEGRATION

One of the most compelling applications of data lakes in wealth management is the creation of custom dashboards. These dashboards can draw from the diverse pool within a data lake, providing a consolidated, real-time view of important metrics. Imagine having a dashboard that offers not just financial analytics but also insights into client preferences and behavior patterns – all available because it’s powered by a comprehensive data set

DATA LAKES FACILITATING DATA MIGRATION AND STORAGE

For wealth management firms, particularly those dealing with acquisitions and mergers, data lakes facilitate seamless data migration and storage. When acquiring a smaller company, the integration of disparate data sources can be challenging. A data lake can streamline this process by providing a unified platform where information from different sources can be combined, analyzed, and utilized.

BEYOND DATA STORAGE: ENABLING ADVANCED ANALYTICS

Data lakes do more than just store data; they enable advanced analytics and artificial intelligence applications. With the right tools, data lakes can be used to uncover trends, predict market movements, and even personalize client recommendations. This level of analysis was once the domain of only the largest firms but is now increasingly accessible to all through the use of data lakes.

THE FUTURE IS HERE: DATA LAKES IN 2024 AND BEYOND

Looking ahead, the role of data lakes in wealth management is set to grow even more significant. As the volume and complexity of financial data increase, so does the need for efficient, scalable solutions like data lakes. Firms that embrace this technology will find themselves well-equipped to handle the challenges of the modern financial landscape.

EMBRACING THE DATA LAKE REVOLUTION

In conclusion, data lakes are not just a trend but a cornerstone technology that is reshaping the technology landscape. As we move forward in 2024, their importance in wealth management becomes more pronounced, offering the tools needed to manage vast amounts of data, gain deeper insights, and provide superior client services. The adoption of data lakes marks a shift from traditional data management practices to more sophisticated, data-driven strategies. This transition is crucial for firms to enhance their competitive edge, streamline operations, and cater to the evolving needs of their clients.

Embracing data lakes is more than just a technological decision; it’s about future-proofing your business in a data-centric world. It’s an investment in a system that not only stores data but transforms it into a strategic asset. For those ready to ride the wave of this digital transformation, data lakes offer a path to not just survive but thrive in the ever-evolving world of wealth management.

ABOUT THE AUTHORS

Craig Iskowitz is a business and technology strategy consultant who is a recognized expert on fee-based advisory platforms and wealth management technology. He is the founder and CEO of Ezra Group, a strategy consulting firm providing technology and business advice to banks, broker-dealers, asset managers, private equity and fintech firms. In addition to providing customized solutions to the wealth management industry, Iskowitz publishes WealthTech Today, a blog offering the latest insight on technology for wealth, asset, and investment management professionals. He is also host of the WealthTech Today podcast where he discusses, dissects, and debates the latest news and trends in wealth management technology. Learn more at www.EzraGroupLLC.com.

Henry Zelikovsky co-founded Softlab360 in 2000 as the Chief Technology Officer. The company merged with Starpoint Solutions in 2002, where it operated as a Software Engineering Division until 2021, at which time it became an independent entity: Softlab360. He led the company through its evolution and became CEO in July 2021. He has an extensive background in software engineering and development, being a Senior Consultant at Credit Suisse in the 90’s and an analyst and software developer at BNY/Mellon, Merrill Lynch and Credit Suisse for more than a decade before founding his first company, SmartLink. Zelikovsky has a B.S. in Computer Science from Brooklyn College and a M.S. in Computer Science and Software Engineering from The New York University – Polytechnic School of Engineering. He lives in New York and leads large scale projects and engineering teams located in Europe and the US. Learn more at www.Softlab360.com

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