Criteria Prioritization for Data Maturity Assessment Problem Using Continuous Intuitionistic Fuzzy Analytic Hierarchy Process

Zeynep Burcu Kizilkan Demir*, Basar Oztaysi

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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 languageEnglish
Title of host publicationIntelligent and Fuzzy Systems - Intelligent Industrial Informatics and Efficient Networks Proceedings of the INFUS 2024 Conference
EditorsCengiz Kahraman, Sezi Cevik Onar, Selcuk Cebi, Basar Oztaysi, Irem Ucal Sari, A. Cagrı Tolga
PublisherSpringer Science and Business Media Deutschland GmbH
Pages755-765
Number of pages11
ISBN (Print)9783031700170
DOIs
Publication statusPublished - 2024
EventInternational Conference on Intelligent and Fuzzy Systems, INFUS 2024 - Canakkale, Turkey
Duration: 16 Jul 202418 Jul 2024

Publication series

NameLecture Notes in Networks and Systems
Volume1088 LNNS
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

ConferenceInternational Conference on Intelligent and Fuzzy Systems, INFUS 2024
Country/TerritoryTurkey
CityCanakkale
Period16/07/2418/07/24

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

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