Data Anomaly Detector

Focus on what matters

Data Anomaly Detector is a sophisticated model based on statistical analysis. It detects anomalies and changes in data automatically. The solution is excellently suited to financial departments, but it can also be used, for example, for recognizing anomalies in wholesale trade or stocks.

Proven statistical methods

The solution helps your company save hours of manual work by automatically analyzing the integrity of financial data collected from sources like general ledger, accounts payables or receivables. Not to mention the value of correctness in EOY reporting. Data Anomaly Detector utilizes state-of-the-art statistical methods for detecting anomalies and level changes in financial data.

More value, less costs

  • Analysis can be done on a combination of general ledger’s dimensions such as cost centres, accounts, products and customers
  • Anomalies and changes in data can be easily visualized by using any modern BI tool
  • Easy to deploy: Anomaly Detector is available on Microsoft Azure cloud or it can be deployed on-premises
  • Suitable for middle-sized and large companies across all industries

Let us show how it works

We understand that we must demonstrate the value of the solution. Therefore, we are proposing a proof-of-value phase consisting of the following steps:

  • Kick-off meeting to determine your goals
  • Extract the data from your ERP system
  • Environment configuration to set up chosen dimensions
  • Load data into Data Anomaly Detector
  • Visualize and analyse the results
  • Findings and next steps

Related solutions

Related technologies

  • Microsoft SQL Server
  • R
  • Azure
  • Datalake
  • Power BI

Contact information

Samu Koskinen

Samu Koskinen

Juha Järvinen

Juha Järvinen

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