A Comprehensive Data Maturity Model for Data Pre-Analysis

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 t...

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Main Authors: Lukas Knoflach, Lin Shao, Torsten Ullrich
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Data
Subjects:
Online Access:https://www.mdpi.com/2306-5729/10/4/55
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author Lukas Knoflach
Lin Shao
Torsten Ullrich
author_facet Lukas Knoflach
Lin Shao
Torsten Ullrich
author_sort Lukas Knoflach
collection DOAJ
description 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.
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spelling doaj-art-809a8c0ac4e545c8b1c5331eb7f1f32f2025-08-20T03:13:49ZengMDPI AGData2306-57292025-04-011045510.3390/data10040055A Comprehensive Data Maturity Model for Data Pre-AnalysisLukas Knoflach0Lin Shao1Torsten Ullrich2Institute of Visual Computing, Graz University of Technology, 8010 Graz, AustriaFraunhofer Austria Research GmbH, 8010 Graz, AustriaInstitute of Visual Computing, Graz University of Technology, 8010 Graz, AustriaData 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.https://www.mdpi.com/2306-5729/10/4/55data analysismaturity modeldata preparation
spellingShingle Lukas Knoflach
Lin Shao
Torsten Ullrich
A Comprehensive Data Maturity Model for Data Pre-Analysis
Data
data analysis
maturity model
data preparation
title A Comprehensive Data Maturity Model for Data Pre-Analysis
title_full A Comprehensive Data Maturity Model for Data Pre-Analysis
title_fullStr A Comprehensive Data Maturity Model for Data Pre-Analysis
title_full_unstemmed A Comprehensive Data Maturity Model for Data Pre-Analysis
title_short A Comprehensive Data Maturity Model for Data Pre-Analysis
title_sort comprehensive data maturity model for data pre analysis
topic data analysis
maturity model
data preparation
url https://www.mdpi.com/2306-5729/10/4/55
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