Connected Money: Detecting High-Risk Transactions with Network Analytics скачать в хорошем качестве

Connected Money: Detecting High-Risk Transactions with Network Analytics

In this webinar you will learn how to combine Senzing's entity resolution with connected data analytics platform like GraphAware Hume, and Open Ownership Data to tackle the challenges of disparate data sources in tracing high-risk financial transactions.  --------- Agenda Following the Money Understanding the "Following the Money" mission and how standardisation and technology can address the challenges of disparate data sources when tracing financial transactions. by Friedrich Lindenberg, Founder of OpenSanctions -Turning Data into a Usable Resource for Financial Crime Analysis Current approaches to financial crime analysis are often ineffective and resource-intensive. Discover how combining entity resolution with visual analytics can improve financial crimes investigations. by Boris Kusovski, Director - Financial Markets Strategy at Senzing, Inc. Live Demo: Answering Transaction-Based Questions Live investigation using the GraphAware Hume platform to analyse real data from the $2.9 billion Azerbaijani Laundromat case. We'll demonstrate how to answer transaction-based questions by integrating OpenSanctions and Companies House data, and employing Senzing entity resolution to reveal hidden connections and expose money laundering activities. by Christophe Willemsen, GraphAware CTO Q&A --------- Hume is an enterprise-level graph analytics solution that allows you to easily convert multiple distributed data sources into a single, connected source of truth: the knowledge graph. Interested in seeing what Hume could mean for your project or company? Request a demo https://graphaware.com/contact/humedemo/ #graphanalytics #intelligenceanalysis