20 Ways To Detect Fraud Using Dynamic Data Visualization

Investigating fraud requires analyzing mountains of data to detect patterns, links and connections between the data and criminal activity.

This calls for two crucial steps which ScanWriter accomplishes quickly and efficiently: data preparation and visualization.

As a data preparation tool, ScanWriter is unparalleled. It captures any document or digital file and converts it to normalized data in Excel, where an investigator can organize the information according to customized columns and fields.

An Excel spreadsheet is the first step. The second step is data analytics. For this, ScanWriter is bundled with Microsoft’s powerful visualization tool, Power BI, to create one seamless solution for your fraud case analysis needs.

Power BI’s visual representations enable the examiner to identify relationships and detect suspicious patterns that can hide in an abundance of data.

And it does this in record time.

Once the data has been captured and checked for accuracy and completeness, Power BI swiftly goes to work making connections and delivering insights that an Excel spreadsheet keeps under its hat.

Data Visualizations at Work for Fraud Investigations

Depending on your investigation strategy, ScanWriter can help you focus on the aspects of the case you want to explore.

These dynamic and interactive reports are tightly integrated with Excel and Power BI  to produce on-demand, customized data visualizations.

Here are 20 ways to use ScanWriter’s robust data visualization feature to help you explore and display visually immersive and interactive insights that can help you solve, present and win cases.

  1. Search by name – ScanWriter allows you to trace all the activities of one or more people. By connecting these with other players and activities, you can begin to get a picture of how each role fits into the flow.
  2. Search by transaction type – ScanWriter makes it possible to track all activities from separate money sources such as wire transfers, PayPal, or credit cards. Isolating exchanges in this way allows the investigator to discover preferred methods and types of money transfers.

Organizing transactions based on business name (Source: ScanWriter Software)

  1. Search by date range – When was the money moved? How much was moved? Searching by date provides essential clues that can be connected to other events and activities.
  2. Activities by location – This visualization provides a map of where the transactions are taking place and their amounts. Zoom out to get a bird’s eye view of where most of the activity is occurring. Zoom in to pinpoint cities or neighborhoods with the most activity.

Visualize activities on a map (Source: ScanWriter Software)

  1. Relationships between accounts – ScanWriter can automatically link accounts from different banks to identify any and all deposit and withdrawal activity and make connections between account holders.

Understand the direction and exchange volume between accounts (Source: ScanWriter Software)