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

By: GoBeyond Team
August 10, 2026
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

More Case Studies

See All
How Starbucks Uses Deep Brew AI to Deliver Personalized Customer Experiences and Optimize Operations
Retail & E-commerce
How Zapier Boosted Remote Team Collaboration with AI-Driven Internal Chat System
Technology & SaaS
How H&H Purchasing Automated Invoice Processing with zenphi’s AI Document Processing
Manufacturing
How Central England Co-operative Automated Employee Record Retention Compliance
Real Estate
How General Electric (GE) Leveraged Digital Twins and AI to Reduce Downtime and Improve Output
Manufacturing
How CodiumAI Uses AI to Optimize and Refactor Legacy Codebases
Technology & SaaS

🤖 Chat with AI

Type...