The Personal Investment Management & Financial Advice Association (PIMFA)

Dictionary

Login Home
Filter by Topics

Data as a Product: Turning Your Fragmented Data into Decision Advantage 2026

Building the platform for AI that actually delivers.

Most advice firms are not short of data. They are short of data they can actually use.

Critical information is often trapped across disconnected systems, buried in silos and too far removed from the decisions that matter most. The result is slower decision-making, weaker insight and AI ambition built on shaky foundations.

The wealth managers moving ahead are doing something different. They are treating data as a product: structured, usable and built around the decisions the business needs to make faster, better and with more confidence.

In this FREE 60-minute webinar, in partnership with Publicis Sapient, we explore what that shift looks like in practice, from connecting fragmented data, intelligence, and AI into a unified decisioning layer that enables faster, more confident business decisions.

Key takeaways:

  • How to connect fragmented data into a unified intelligence layer across the business
  • What it takes to structure data as a product to enable scale, ownership, and AI-readiness
  • How to embed AI into workflows to move from insight to action
  • Where leading firms are creating speed, clarity, and cross-functional decision advantage

You may also be interested in

Artificial Intelligence

Technology using algorithms and data to enhance decision-making, improve efficiency, and manage risks.
What’s now possible for wealth firms when AI meets Consumer Duty? …
Free
Date & Time: 22nd Jun 2026 (8:45) - 22nd Jun 2026 (13:30)
Location: Marloo UK Ltd

The Wealth and Asset Management Operating Model Can’t Keep Up

Read this article from the PIMFA Journal #33 by Richard Doherty and Sumit Johri at Publicis Sapient about the traditional playbook built on manual processes, siloed business and technology functions, and relationship-driven models is no longer sufficient.

Shared Type: Shared Public
Published: April 28, 2026
Enjoying our website? Email us anytime with your feedback!