Technology

Matching of names, bank accounts or other key variables is a critical control function that has been difficult to implement reliably in the past.

Typical use cases include:

• Control of names against U.S. Treasury SDN lists, U.N sanctions list, or other custom lists

• Control of duplicate names or bank accounts across HR payrolls

Users can load data individually, or in batch lists, through simple interfaces using ordinary office tools. It can also be integrated in a more complex automated workflow. Outputs can be built in datasheets customized to user applications.

The application will compare the variable using a cluster of advanced algorithms for matching texts, and returns a probability estimate of similarity.

The application is accessing ultrafast scalable databases designed specifically for advanced analytics like this.

Gone are the days when skilled analysts needed to spend endless hours typing in data and information form hardcopy forms or invoices.

Modern AI applications today can be designed to extract text from image or PDF files, and can extract text with higher accuracy than most humans. Tirelessly.

This is often a staple of a complex workflow. Typical uses are in transaction processing, accounting, and audit.

The applications typically are designed to:

• recognize a document type,

• extract relevant information, and

• parse the information to datasets for further processing.

Automation of management reporting can be highly advanced with intelligent solutions today. Most advanced front-end users have once in their career used Excel and VBA for such purposes.

With more modern solutions, so much more is possible. Not only can we fully automate complex reporting workflows, but also include intelligent analysis of data, and reporting in a range of formats.

We also pride ourselves in creating high quality visualizations, and intelligent commentary on the analytical findings.

These are applications that can add much much value to the standard reports from administrative systems, that are often hard to read, and understand for most users.

Publication and distribution can be automated to:

• Websites

• Management reports, powerpoint or PDF

• Clean data sheets