Abstract
With recent developments in data processing and analysis, the concept of data maturity has gained substantial significance. Data maturity is the refinement of an organization’s ability to harness, interpret, and influence data effectively for decision-making. The data maturity of an organization provides a meaningful insight into the company’s capabilities for data practices over time. A mature data environment can be determined by an organization’s standing in data management, data processing, data infrastructure, data security, and the allocation of human resources in a data-driven environment. The presence of these matters at various levels exposes a need for improvement to enhance the organization’s ability to derive meaningful outputs. Organizations with a mature data environment adapt better to market changes, identify emerging trends, and capitalize on new opportunities. By employing frameworks, organizations can systematically assess their data maturity levels and identify areas for improvement. This study determines the criteria of data maturity assessment model and develops a hierarchical framework to analyze some organizations from different sectors using Continuous Intuitionistic Fuzzy Sets (CINFUS).
Original language | English |
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Title of host publication | Intelligent and Fuzzy Systems - Intelligent Industrial Informatics and Efficient Networks Proceedings of the INFUS 2024 Conference |
Editors | Cengiz Kahraman, Sezi Cevik Onar, Selcuk Cebi, Basar Oztaysi, Irem Ucal Sari, A. Cagrı Tolga |
Publisher | Springer Science and Business Media Deutschland GmbH |
Pages | 755-765 |
Number of pages | 11 |
ISBN (Print) | 9783031700170 |
DOIs | |
Publication status | Published - 2024 |
Event | International Conference on Intelligent and Fuzzy Systems, INFUS 2024 - Canakkale, Turkey Duration: 16 Jul 2024 → 18 Jul 2024 |
Publication series
Name | Lecture Notes in Networks and Systems |
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Volume | 1088 LNNS |
ISSN (Print) | 2367-3370 |
ISSN (Electronic) | 2367-3389 |
Conference
Conference | International Conference on Intelligent and Fuzzy Systems, INFUS 2024 |
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Country/Territory | Turkey |
City | Canakkale |
Period | 16/07/24 → 18/07/24 |
Bibliographical note
Publisher Copyright:© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
Keywords
- analytic hierarchy process
- continuous intuitionistic fuzzy sets
- data maturity
- fuzzy sets