How Macquarie Uses Predictive AI to Clean and Unify Data for Better Insights and Outcomes

By: GoBeyond Team
July 3, 2025
3 min read
Macquarie AI data cleansing and analytics dashboard

Quick Overview

Macquarie employs predictive AI tools on Google Cloud’s Vertex AI platform to clean, unify, and enrich 100% of its data assets. This reduces noise and data roadblocks, enabling teams to generate better insights with generative AI tools, improving decision-making and customer outcomes.

Macquarie
Macquarie
Company Size
~15,000 employees
Revenue Range
Not publicly disclosed
Primary Challenge
Improving data quality and insight generation across business units
Key Metrics
\- Cleaner, unified data sets\- Reduced noise and errors\- Improved employee and customer outcomes

The Problem

Fragmented and noisy data impeded accurate analysis and decision-making

The Solution

Predictive AI models automate data cleansing, unification, and enrichment integrated with generative AI for advanced analytics

Results

\- Enhanced data reliability\- Faster, more accurate insights\- Better operational and client results

Details

Industry
Finance & Banking
Departments
Data & Analytics
Use Cases
Data Analysis
Tags
Predictive Modeling
Machine Learning
Analytics Dashboard
AI Tools Used
Vertex AI
Sources
https://cloud.google.com/transform/101-real-world-generative-ai-use-cases-from-industry-leaders

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