Building ﬁnancial crimes software for expert users requires an understanding of the speciﬁc needs as well as tasks & roles in a larger team of investigators. The goal is to create uniquely tailored solutions to those users' needs - not create a set of simple reports or a dashboard.
Shrink wrapped software & standard BI tools typically are in the mix but will not sufﬁce as a stand alone application. Custom built enterprise solutions using graph ‘plug in’s’ or other ‘solutions’ with a graph plug in will take 30-50% longer to develop and will require a high level of expertise in both graph technology and a programming language like REACT or Angular. How can you provide reusable software solutions that solves the primary problem patterns but also makes “ﬁnish-to-order” customizations possible?
Enter Expero CoNNected for Financial Crimes (CoNNected FC) in combination with the market leader in graph technology, Neo4j. Neo4j provides an enterprise-strength graph database that combines native graph storage, advanced security and a scalable speed-optimized architecture.
Expero CoNNected FC, powered by Neo4j, allows customers to conﬁgure a full suite of anti-fraud modules to create a platform for combating ﬁnancial crimes for all types of use cases including: AML, transaction fraud, compliance & sanctions, cybersecurity, embezzlement, internal bad actor, audit & compliance, and prosecution for global investigatory teams. The goal is to create a ﬂexible solution utilizing the power of Neo4J with easy to use visualization for explainable ML.
Why a Neo4J CoNNected Solution?
No two ﬁnancial crime use cases and customer requirements are exactly the same. And most expert business users expect or desire that their tools adhere to how they work. That leaves the software tool builders with a couple of options. Today’s fraud application reality is much more than just graph widgets - useful, yes but the goal is to have users interact with a vast amount of data, including graph data connections. Neo4J recognizes that most ﬁnancial crime investigations have some common patterns and general approaches but the speciﬁcs of how each customer approaches the problem and perhaps the sequence of steps may vary. What customers are requesting is a full set of reusable graph components + UI templates + Neo4J built-in connectivity that can perform core investigation functions and features. In addition, they allow users the ability to compose the ﬁnal solution by rearranging the components with little effort. This is the design motivation and paradigm for Neo4J Fraud Solution.
Flexible & Configurable Role-based UI screens: Dashboards, investigations & teams
Neo4J Speciﬁc: Performance-tuned, key ML functions in Neo4J: accumulators, algorithms, etc.
Graph & Investigation Widgets: Combination of key fraud graph visualizations & core data views
Neo4J Data Models: Extendable starting data models : AML, Credit Card, Cyber, Audit, etc
Extensible | On Prem or Cloud: Build your own widgets with the tool for custom development
Integration with ML Tools: Conﬁguration to integrate with Python and Jupyter notebook
Who are your Users?
The ﬁnancial crimes space has an incredibly diverse set of use cases and types of users. The features are directly focused on these investigation teams' set of incredibly diverse sets of investigation and notiﬁcation tasks. Each group of users has a very different potential role in the process: the data and interactions may be similar, yet the UI may be very different on how to access and interact with the data. The solution allows for this diverse set of users to have different views and interactions and their different types of roles via the UI
Use Case Differentiation: AML, Credit Card, Transaction Fraud, Cyber, Audit & Prosecution
Security: Data provenance, RBAC & access for teams, individuals and audit & compliance
Roles: Management, line of business, KYC teams, Investigators & prosecutors
Teams: The ability to share ﬁndings, collaborate with core members or external teams
What Modules Are Part of The Fraud Solution?
The Expero Neo4J Fraud Solution modules for anti-fraud help customers design and develop graph based custom data visualization tools quickly and easily. Neo4J Fraud Solution consists of a series of connector /helper widgets and graph visualizations, design patterns and examples used to aid in creating cohesive, data-driven apps. Data synchronization and complex visualization synchronization is at the heart of Neo4J Fraud Solution, both with Neo4J Fraud Solution-based widgets as well as 3rd party widgets. Simply register each visualization to sync up with ﬁlters driven by Neo4J Fraud Solution to allow your UI to work seamlessly and each visualization in concert with others on the page. Here are just a few of the visualizations that are available.
Alert Details that allow for simple easy to understand alert logic and how the logic and potential fraud are connected. Assisting investigators in identifying multiple alerts and how they interact in order to create more accurate alerts
Graph & Network Node Visualization
Graph & Network Node Visualization The ability to visualize connected data Neo4J algorithms and adjacency, similarity and community detection. The ability to manage non-obvious connection of elements in the data
Dashboard Visualization Composition
As previously discussed, the individual visualization components are necessary but not sufﬁcient. The true value of Neo4J Fraud Solution lies in the composition of visualizations to address a complex business problem or ﬂow.
In the application above, a user may wish to see different component charts, over different time periods. By moving the time slider at the bottom of the page, each of the charts updates itself per the time period selected. This cross component communication means that any component may “publish” changes made to itself for consumption by any or all of the other controls on the page. Each component is responsible for keeping itself current. This includes many other components besides just Graph visualization
Dashboard Conﬁguration: Ability to have multiple widgets like reports, KPI’s, etc.
Time: Timeline sliders, date panels, connected to graph & non-graph widgets
Filters & Dynamic Graph Query: No code ﬁlters, panels, and selection panes for clickable data presentation
Alerts & Search: Extendable alerts & search for Neo4J and other data including source systems
Neo4J - Conﬁguration Solution User Interface
The Neo4J Financial Crimes Solution comes with a ‘super user’ role based conﬁguration tool to allow for custom conﬁguration and extension. The example below is part of the online comprehensive conﬁguration tool. These functions include data schema mapping, nodes, icons, layouts, hidden and shown attributes and many more items
How Expero Extends Application Functionality through a Single-Page App (SPA)
Why Do You Need A Single-Page App (SPA)?
Single-page apps are a must when a responsive and interactive in-browser user experience is required. The heavy visualization and multiple simultaneous users in a graph analytics application make an SPA a great ﬁt. The classic server-based approach to updating a page in response to a user interaction is painfully slow by today’s standards. Each change to the view requires a complete page reload, which incurs a lot of overhead. The single-page app only pays the page load penalty one time, and further changes are incremental modiﬁcations to the live document. The separation between front end and back end also tends to lead to a clean REST or Lightning API that can be reused for native mobile applications. In many cases, the single-page app itself can be repackaged as the mobile application.
On Premise or Cloud Architecture
The Neo4J solution can be conﬁgured as either a cloud delivered architecture on any of the cloud vendors or can easily be set up as on-premise.
Connecting to Neo4J
Similarly to how the front end application needs ﬂexibility, the data sources also will vary. Neo4J Fraud Solution has hooks built in for data collection - these may be direct Lightning or REST calls from the browser or REST/GraphQL calls through a middle tier API depending on scaling and security requirements. The CoNNected workbench can simultaneously connect to multiple data sources for a ‘single pane’ of glass viewing for business users.
SPAs are very ﬂexible when it comes to deploying to a server. As long as the server can deliver a collection of static ﬁles, then it can host a single-page application. This is important because it means you can cleanly decouple your back end from the client’s view and architect the back end any way you choose. You may want to keep things simple and host the front end on the same server that handles requests for data or you might have a large ecosystem of load-balanced microservices and choose to serve the front end from a highly available CDN. It makes little difference to the overall architecture and design of the client-side application.
Cloud Systems Supported: Amazon, Google GCP & Microsoft Azure EXAMPLE: Here’s an example deployment using Amazon’s S3 service
In this model, the concerns of serving www.foo.com are completely separate from any requests for data through an API server. Both can be managed and optimized for their intended purpose. In the case of the ﬁle server, S3 buckets can be conﬁgured for website hosting and serve all the static ﬁles that make up the SPA. As mentioned earlier, aggressive caching headers can be set to further speed up client load times and reduce server load if unique hashes (or some other cache break technique) were implemented as part of the build process. This separation completely eliminates a chunk of work for the back end. Pure data services typically should not allow the client to perform any caching in order for client applications to always receive fresh data. Furthermore, the scaling and division of responsibilities among services is not mixed up with the concerns of serving the client-facing URL.
The modern Financial Crimes investigation single-page application has evolved from a simple set of MS XLS sheets and has now become an intersection of Human-in-the-loop + Machine Learning + Neo4J + Visualization. The goal and purpose of the Neo4J Financial Crimes Fraud Solution is to accelerate the conﬁguration and development of tools that can be supported and maintained by our end customers.
We are ready to accelerate your business forward. Get in touch.
Tell us what you need and one of our experts will get back to you.
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.