---
title: Using ML To Flag Anomalies In Financial Data
description: Challenges A client came to us with a pressing problem. Data propogation was taking place, but important occurrences were going unnoticed. There was room f
---

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 March 5, 2025

# Using ML To Flag Anomalies In Financial Data

 By   Admin  ·   1 minute read

**Challenges**

A client came to us with a pressing problem. Data propogation was taking place, but important occurrences were going unnoticed. There was room for improvement when it came the accuracy and efficiency of monitoring anomalies in the financial data of their clients. Not only that, but once an anomaly was identified, requisite insights about its information were considered key pieces to the puzzle.

Our client understood our capabilities when it came to utilizing machine learning and providing meaningful impact. As such, a roadmap was created and executed focusing on the inelligent usage of ML in finding these anomalies and providing contextual comments.

‍

**Solution** **and Features**

Designed and built a Machine Learning Service that monitors financial data and flags anomalies by learning using past data and generate comments on the anomalies

‍

**Result**

Automated > 90% of  large clients with an accuracy above  93 %

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