Building an automatic fraud prevention system from scratch

Principles of our system

Principle 1: Business value at first

Principle 2: Human augmented intelligence

Principle 3: Extensive analytics data platform

Constructive concepts of our system

Contract first design

Streaming all way long

Challenges of our system

References

--

--

--

All opinions are my own || Software Developer, learner, perfectionist and entrepreneur-kind person, nonconformist. Always seeks for the order and completeness.

Love podcasts or audiobooks? Learn on the go with our new app.

Recommended from Medium

Limitations of the Multiple Regression Model

Predict figure skating world championship ranking from season performances

7 Bad Life Habits That Can Hurt Your Brain

Top Twitter Topics by Data Scientists #39

How an Enterprise Data Catalog Can Make or Break Your Enterprise

Combinatorial Optimization Using Genetic Algorithms on a Baseball Related Dataset

Data Processing, KNN Trials and Errors

Optimizing for W’s 🏀

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store
Alexander Goida

Alexander Goida

All opinions are my own || Software Developer, learner, perfectionist and entrepreneur-kind person, nonconformist. Always seeks for the order and completeness.

More from Medium

Glue vs Airflow

Flexible Health IT Models: The use of custom data structures

Designing a Dynamic Automated Reporting Pipeline — 1

The Business Benefits of Data Pipelines