Where is all of this data going and how are firms managing it and are they using it efficiently? Ezra Group evaluates the Data-as-an-Asset strategy of our wealth management clients based on these four foundational objectives:
- Aggregation – Is the process of collecting and processing data reliable, trustable and scalable?
- Patterning – Do the current tools and processes create layers of relevant data patterns and insights that teams can easily consume?
- Action – Do the data and insights support targeted decisions for both internal and external constituents?
- Evolution – Can new data be ingested and converted into business insights at a pace that’s consistent with the rate of change in the market?
We’ve been producing a series of webinars to bring leading industry experts in data strategy, data architecture and systems implementation to share their experiences and best practices around leverage Data-as-an-Asset for enterprise wealth management firms.
Our most recent webinar, called The Data Engines Powering Wealth Management, included panelist Anthony Stich, Chief Operating Officer, Naviplan, now part of InvestCloud, who shared some best practices when working with vast amounts of client data and offered advice on how to deal with it effectively…
