Our Offering

Dataquality during the whole lifecycle of your data!

Datenqualitätsmanagement

Data Quality Management

Constant assurance of data quality with our software solution.

  • Enterprise-wide
  • For any technology

Test Automation

Ensure the functionality of data analysis systems during development.

  • Continuous Integration / Deployment
  • Automation in agile projects
  • Professional Services

    Support for your team during:

    • Planning
    • Transition
    • Monitoring
    • Improvement

    ​Your Advantages

    1

    Proactive instead of Reactive

    Transition from a reactive fire-fighting-mode to actively managing your data quality. Find and resolve quality issues before they harm your business.

    2

    Cost Reductions

    Reduce the costs for manual testing and reactively handling issues by up to 70% by automizing test and validation-processes in development projects and also in production.

    3

    Better Market Opportunities

    8-12% of possible revenues get lost due to data quality issues. Companies with a high data quality have a 2-times higher growth-rate. (Boston Aberdeen Group)

    Our Customers

    Some of the biggest companies of all industries trust in BiG EVAL.

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    Use Cases

    Anywhere where data is transported, transformed, imported, exported, stored and changed, BiG EVAL can help with proactive quality control. Use our automated testing algorithms to easily check your data.

    DWH & ETL Processes

    Automated tests regularly check whether the data saved in a data warehouse after an ETL process is correct, preventing anything from being lost, duplicated, or incorrectly transformed.

    Data Imports & Exports

    ​Small errors created during data import and export can have big effects. Simple validation checks help you avoid such problems.

    Data Migration

    Continuously compare the data in your new application database (ERP, CRM, etc.) to the previous database during migration projects. These tests ensure a smooth transition to a new system.

    Analysis Models
    (OLAP, Tabular, etc.)

    Complex data transformations and calculations take place during analysis modeling, and the results are used to make strategic decisions. Make sure that your analysis model is of high quality.

    DATA HUBS

    Many application managers rely on their applications being fed with high-quality data from a data hub. With BiG EVAL, you can be sure that these expectations are met. Verifiable statistics from the test results can be used as proof of quality (or for an audit).

    Test Drive BiG EVAL

    Would you like to see BiG EVAL in action?

    Make the first step and get in touch with BiG EVAL!

    Nikola PerićData Quality Automation