AI case study

EYFinancial data extraction

Analysts manually hunted 14 variables in 40-page PDFs. Now, AI extracts complex table data for ESG reporting.

Published|1 year ago

Key results

Accuracy Gain
10-15%

Result highlights

Unlock 1 result highlight

The story

Context

One of the world's largest professional services networks serving financial institutions that face increasing pressure to process vast quantities of unstructured data for compliance.

Challenge

Banks struggled to comply with evolving regulations because critical data was locked in complex unstructured documents. Analysts faced the tedious...

Solution
Unlock full story

Quotes

Unlock 9 more quotes

The company

Global professional services for assurance, tax, consulting, and strategy.

IndustryFinancial Services
LocationLondon, England, UK
Employees100K+
Founded1989

The vendor

Search AI platform for enterprise search, observability, and security solutions.

IndustrySoftware & Platforms
LocationMountain View, CA, USA
Employees1K-5K
Founded2012

Use case

EY's Financial data extraction is part of this use case:

Data Extraction
121 case studies(+63% YoY)
Proven impact?
LowModerateVery Strong
4.4Moderate
3.9Moderatewithin Financial Services
3.4Moderatewithin Product Engineering

Similar Case Studies

Related implementations across industries and use cases

128 AI case studies in Data Extraction

274 AI case studies in Financial Services

590 AI case studies in Product Engineering