Tech Threads

Leverage Big data for fraud detection

Just writing few lines regarding  leveraging Big Data for fraud detection. Now a day’s Financial industry as well as Banking system are facing most costly challenges in terms of fraud and other financial crimes. Big Data processing framework like Hadoop and its eco systems are started helping to detect, prevent and eliminate internal and external fraud as well as reduce the associated costs.
Analyzing points of sales (POS) in shopping malls. hospitals, retail stores etc and other transactions places, Banking system are capable enough to identify and mitigate fraud immediately.
Effective usage of Big Data processing and analytics, can alert the bank that a credit or debit card has been lost or stolen by picking up on unusual behavior patterns. This then gives the bank time to put a temporary hold on the card while contacting its account owner. This helps Banking system to prevent or stop the further payment transaction carried out by criminals till customers initiate actions from their end.


Written by
Gautam Goswami

Can be reached for real-time POC development and hands-on technical training at gautambangalore@gmail.com. Besides, to design, develop just as help in any Hadoop/Big Data handling related task. Gautam is a advisor and furthermore an Educator as well. Before that, he filled in as Sr. Technical Architect in different technologies and business space across numerous nations.
He is energetic about sharing information through blogs, preparing workshops on different Big Data related innovations, systems and related technologies.

Page: 1 2

Recent Posts

Best Practices for Handling Bad Data in Stream Processing Platforms

Introduction Today, stream processing platforms facilitate the real-time analysis of data flowing continuously from Internet… Read More

2 weeks ago

The Real-Time Revolution: Why Blockchain Needs Data Stream Processing

Blockchain is an extremely data-driven technology because the primary function of a blockchain is to… Read More

3 months ago

Event-Driven AI Acceleration via TOON on Apache Kafka

AI agents now increasingly require real-time stream data processing as the environment involving the decision making… Read More

6 months ago

Hot Data: Where Real-Time Insight Begins

Hot data means the data currently being created, accessed, and queried at real-time or near… Read More

8 months ago

Is TOON the Next Lightweight Hero in Event Stream Processing with Apache Kafka?

 The data serialization format is a key factor when dealing with stream processing, as it… Read More

10 months ago

Using Schema Registry to Manage Real-Time Data Streams in AI Pipelines

In today's AI-powered systems, real-time data is essential rather than optional. Real-time data streaming has… Read More

11 months ago