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A Comprehensive Data Maturity Model for Data Pre-Analysis

Author

Listed:
  • Lukas Knoflach

    (Institute of Visual Computing, Graz University of Technology, 8010 Graz, Austria
    These authors contributed equally to this work.)

  • Lin Shao

    (Fraunhofer Austria Research GmbH, 8010 Graz, Austria
    These authors contributed equally to this work.)

  • Torsten Ullrich

    (Institute of Visual Computing, Graz University of Technology, 8010 Graz, Austria
    Fraunhofer Austria Research GmbH, 8010 Graz, Austria
    These authors contributed equally to this work.)

Abstract

Data analysis is widely used in research and industry where there is a need to extract information from data. A significant amount of time within a data analysis project is required to prepare the data for subsequent analysis. This paper presents a comprehensive weighted maturity model to estimate the readiness of data for subsequent data analysis, with the goal of avoiding delays due to data quality problems. The maturity model uses a questionnaire with nine criteria to determine the maturity level of data preparation. The maturity model is integrated into a web application that provides an automated evaluation of maturity and a novel visualization approach that combines a modified spider chart and augmented chord diagrams. The comprehensive weighted maturity model is a ready-to-use application that provides prospective users with an easy and quick way to check their data for maturity for subsequent data analysis, with the goal of improving the data preparation process. The weighted maturity model is applicable to all types of data analysis, regardless of the domain of the data.

Suggested Citation

  • Lukas Knoflach & Lin Shao & Torsten Ullrich, 2025. "A Comprehensive Data Maturity Model for Data Pre-Analysis," Data, MDPI, vol. 10(4), pages 1-22, April.
    • Handle: RePEc:gam:jdataj:v:10:y:2025:i:4:p:55-:d:1638107
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