The use of Financial Trail will radically shorten the analysis time, improve quality and shift the burden of work from importing and standardizing information to their proper analysis

Financial Trail has built-in import engines for hundreds of financial transaction formats that will allow you to semi-automatically import them into the database, eliminate duplicate transactions and harmonize transaction types.

If a format is not yet supported by us, we will add it to the software as part of standard support.

Joint analysis of all data from many financial institutions based on graphs and flexible dashboards allows you to quickly verify many analytical hypotheses.

Graphs that contain even over 100.000 transactions are displayed smoothly, allowing them to be filtered during the analysis.

Key differentiators

Main features

Explore key functionalities of FinancialTrail

Data import and harmonisation

Automatic recognition of data formats from different financial institutions.

Type identification, f.e.: bank accounts, financial accounting systems, company registers.

Several hundred formats built-in - XML, TXT, PDF, XLSX and many others. Implementation of new formats into the system as part of standard support service.

Data standardisation

For any given data source, the type of data and the type of transactions are harmonized in order to enable joint analysis, e.g. regardless of the description of the transfer, a cash withdrawal is identified in the same way for all data sources.

‍The user can create dictionaries in the context of his case

Data Deduplication

It may happen that the same data set (i.e. company, transaction) is received from different sources and the names of the organization, although similar, are not the same.

In FinalcialTrail, we detect duplicates of similar or the same transactions, similar organizations and the same invoices and allow the analyst to merge them together to one analytical object.

Key transactions

Built-in charts allow to quickly identify sources of funds and key recipients.

A separate chart shows the types of transactions in the analyzed set, allowing to quickly distinguish cash transactions from wired transfers and payments with card.

Histograms

With the histogram chart you can easily establish the deposit and withdrawal history of a single account, identity, or a group of them. Functionality allows to narrow down the timeline by zooming in and out the details making it easy to analyse specific time period.

After analyzing the data in the timeline, you can quickly access transaction details.

Filters

Interactive filters allow to narrow down the scope of data using any possible criteria: transaction value, currency, transaction type, indicated recipients or others.

Graph visualisations

Graphs allow for spatial visualization of all data in a case that has up to 1 million elements.

Large graph visualization algorithms reduce the number of elements on the screen by simplifying the network while maintaining their structure.

The analyst can at any time interactively analyze the graph in connection with other functions - e.g. a timeline or filters, which allows for a visual verification of the hypotheses.

Export

With this function it is possible to quickly export any data items directly to the I2 Analyst Notebook or to a table in MS Excel format.

Data Analysis

Przykładowe funkcje

Centrality (degree, closeness, beweenness)

Find all straight paths between selected vertices

Find vertices reachable from the selected vertex at a fixed distance

Find shortest path between selected vertices (if any)

Maximum flow between selected vertices.

Grouping of vertices and edges

Who is it for

I fight economic crime

I mainly work with bank accounts. There are usually many entities in my cases. I am interested in establishing source of funds of the criminal group or how they spent them.

I would like to quickly identify and analyze the cash withdrawals and identities involved. There are analyses in which some transactions are in cryptocurrencies or alternative services for making transactions, such as online exchange offices.

I am interested in the location disclosure.

I fight tax crimes

I aim to import financial transactions data and invoices, e.g. based on SAF-T control files.

I combat corruption, VAT carousels, tax evasion, e.g. through the use of tax havens. My cases often feature international transactions.

I want to determine whether the entities comply with the tax law.

I fight cybercrime

I fight cybercrime using financial data. I have not only information about financial transactions, e.g. from an online store, but also clients' IPs.

I would like to link logins to electronic or mobile banking with transfers.

I also analyze deliveries made by couriers or post office and shipments using parcel machines. I am interested in the shops and locations disclosed in transactions.

Best in class software for combating economic crimes for criminal analysts

Book a demo

The use of Financial Trail will radically shorten the analysis time, improve quality and shift the burden of work from importing and standardizing information to their proper analysis

Data import and harmonisation

Data standardisation

Data Deduplication

I fight economic crime

I fight tax crimes

I fight cybercrime

Reach out to book a demo

Why FinancialTrail

Features

Analytics

Who is it for

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