---
title: "The Business Case for Graph in Banking: Turning Connected Data into ROI"
description: Discover how leading banks like JPMorgan Chase and Nubank achieve 229% ROI, reduce false positives by 50%, and save over $100M annually with TigerGraph’s real-time graph analytics—turning fraud prevention and compliance into connected, measurable ROI.
image: https://info.tigergraph.com/hubfs/The%20Business%20Case%20for%20Graph%20in%20Banking_%20Turning%20Connected%20Data%20into%20ROI-1-1.jpg
---

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# The Business Case for Graph in Banking: Turning Connected Data into ROI Silos

![ROI Image 2](https://info.tigergraph.com/hs-fs/hubfs/ROI%20Image%202.jpg?width=2000&height=1127&name=ROI%20Image%202.jpg "ROI Image 2")

See how to turn connected data into ROI and how leading banks use graph to cut fraud losses, strengthen Compliance, and drive growth.

**Inside you will discover:**

- Why traditional fraud and compliance tools plateau at 60% accuracy and how graph analytics achieves over 90%
- How global banks like JPMorgan Chase and Nubank save millions annually by connecting fragmented data
- Independent Forrester proof showing 229% ROI and payback in under six months
- How graph-powered intelligence transforms compliance from a cost center into a strategic advantage
- A roadmap to scale—from pilot to enterprise-wide impact across fraud, AML, and customer engagement

**Key Stats:**

- **$43B+** projected global fraud losses within 5 years
- **50%** reduction in false positives with graph-driven detection
- **229% ROI** and **6-month payback** validated by Forrester
- **$50M+ annual savings** at JPMorgan Chase
- **90%+ detection accuracy** and real-time investigations at Nubank
- **$7.4M total quantified benefit** across risk and compliance functions

**About TigerGraph**

Trusted by top global banks, TigerGraph delivers real-time fraud detection at massive scale using advanced graph analytics.

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