Draw Data-Driven Conclusions

If there are signs of illegal activities against your company, Swiss FTS will analyze your structured data and pinpoint indications of offenses. Our repertoire of algorithms and analysis methods combined with our long-standing experience in Data Analytics enables us to expose such incidents in a targeted and cost-efficient manner.

Identify White-Collar Crime with the Help of Data Analytics

  • Suspected embezzlement

    Using state-of-the-art technology and investigative strategies, we analyze payment flows as well as transactions and identify inconsistencies.

  • Bringing data theft to light

    In the event of an unauthorized transfer, we will determine with tact and sensitivity who transferred customer and financial data or outsourced files to which destination.

  • Data or balance sheet manipulation

    We meticulously retrace events and transactions. You will gain insight into inconsistencies and misconduct.

  • Ensure internal quality assurance

    Whether the flow of e-mails decreases over a certain period of time or whether data has been deleted - we figure out why data is missing or out of sync.

  • Forensically consistent

    We apply forensic processes to find relevant information in bulk data. A complete, gap-free and unalterable analysis history is our top priority.

  • Further activities of economic crime

    Swiss FTS has the qualifications needed for Forensic Data Analytics and can support you in a variety of different cases.

Trace Actions on Databases

The cost-effective analysis of huge amounts of structured data requires robust processes and analysis methods, such as those Swiss FTS has been able to develop and refine in over a decade of company history. Swiss FTS has the expertise required to identify relevant data:

  • Implementing systems for data collection
  • Obtaining relevant data from databases (SAP, CRM, etc.)
  • Preparation and analysis of structured data to find relevant facts
  • Static and interactive data visualizations
  • Visualization of payment and data flows

Identify Correlations in the Overall Structure

The Swiss FTS team thinks proactively at all stages of the process: Based on our experience, we take comparatively more factors into account in Data Analytics and recognize correlations that might have remained hidden with less experience.

The Process of Forensic Data Analytics

  • Step 1

    Backup & preparation

    First, we implement the systems for data collection and obtain the relevant data from external and internal databases. Based on the data and the investigation, we create a suitable data model and prepare the data for it.

  • Step 2

    Search & analysis

    As the process continues, we track down evidence. The Swiss FTS team prepares the structured data for you diligently and efficiently. Using algorithms and analysis methods - combined with our extensive experience in Data Analytics - we find indications, identify sequences of events, causes and responsible parties. Static and interactive data visualizations as well as individual filter options clarify events and illustrate correlations.

  • Step 3

    Report

    Swiss FTS prepares the analysis results and presentations so that they could serve as a basis for decision-making or used in court. The report includes facts about the scope and timeline of the incident as well as the exact sequence of events.

Get Transparency on White-Collar Crime

Rely on data-driven indicators. Swiss FTS is also a trustworthy Data Analytics partner in the areas of finance, information security and research and development. Contact us and find out more about how we can support you. We will be happy to advise you.

Swiss FTS Is Your Data Analytics Specialist for Complex Data

We offer complete solutions for all your Data Analytics needs and have the necessary, highly specialized knowledge and infrastructure to analyze immense volumes of data. It would be our pleasure to recommend and implement solutions in order to ensure that your IT systems are fit for possible future investigations.

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