"No more copies of the data and still a faster response time – a rare combination offered by ArangoDB."
Get started with Graph today
(no credit card required), and experience the shortest time to value for a hosted graph DB.
Download the Scalable Fraud Detection White Paper
Learn how to identify fraud rings and money laundering patterns across disparate data sources.
Read The Case Studies
Learn why companies across industries are switching to ArangoDB for Graph.
Step 1
Customer Data Management
Use ArangoDB to create a comprehensive customer data repository. This involves storing and managing customer profiles, transaction history, account details, and communication preferences.
Step 2
Personalized Financial Services
Building upon Step 1, leverage ArangoDB to enable personalized financial services. Utilize customer data to offer tailored product recommendations, investment strategies, and financial advice. Personalization relies on accurate customer data, making the data management foundation essential for delivering meaningful personalized experiences.
Step 3
Fraud Detection & Prevention
Extend ArangoDB's capabilities to implement a robust fraud detection system. Utilize historical transaction data, real-time
transaction streams, and behavioral analytics to identify and prevent fraudulent activities. The personalized services in Step 2 contribute valuable insights into customer behavior, aiding in the identification of unusual or fraudulent activities.
Step 4
Risk Management & Compliance
Use ArangoDB to develop a comprehensive risk management and compliance system using ML and Knowledge Graphs. Accurate fraud detection and prevention are crucial components of an effective risk management strategy. Integrate data from various sources, including customer data, market data, and regulatory information, to assess and mitigate risks while ensuring compliance with regulations.
Step 5
Algorithmic Trading & Portfolio Optimization
Leveraging the data accumulated in Step 4, employ ArangoDB to build algorithmic trading and portfolio optimization strategies. Specifically, utilize historical market data, customer preferences, risk assessments, and compliance considerations to develop automated trading algorithms and optimize investment portfolios. AnrangoDB’s multi-model and ML capabilities shine here.
Get started with Graph today
(no credit card required), and experience the shortest time to value for a hosted graph DB.
Download the Scalable Fraud Detection White Paper
Learn how to identify fraud rings and money laundering patterns across disparate data sources.
Read The Case Studies
Learn why companies across industries are switching to ArangoDB for Graph.