Big Data Maturity Assessment Models: A Systematic Literature Review
Big Data and analytics have become essential factors in managing the COVID-19 pandemic. As no company can escape the effects of the pandemic, mature Big Data and analytics practices are essential for successful decision-making insights and keeping pace with a changing and unpredictable marketplace....
محفوظ في:
| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | , , , , , |
| منشور في: |
2022
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| الموضوعات: | |
| الوصول للمادة أونلاين: | https://depot.sorbonne.ae/handle/20.500.12458/1342 |
| الوسوم: |
إضافة وسم
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| _version_ | 1857415064328339456 |
|---|---|
| author | Al-Sai, Zaher Ali |
| author2 | Husin, Mohd Heikal Syed-Mohamad, Sharifah Mashita Abdullah, Rosni Abu Zitar, Raed Abualigah, Laith Gandomi, Amir H. |
| author2_role | author author author author author author |
| author_facet | Al-Sai, Zaher Ali Husin, Mohd Heikal Syed-Mohamad, Sharifah Mashita Abdullah, Rosni Abu Zitar, Raed Abualigah, Laith Gandomi, Amir H. |
| author_role | author |
| dc.creator.none.fl_str_mv | Al-Sai, Zaher Ali Husin, Mohd Heikal Syed-Mohamad, Sharifah Mashita Abdullah, Rosni Abu Zitar, Raed Abualigah, Laith Gandomi, Amir H. |
| dc.date.none.fl_str_mv | 2022-12-25T12:23:21Z 2022-12-25T12:23:21Z 2023 |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | 10.3390/bdcc7010002 2504-2289 https://depot.sorbonne.ae/handle/20.500.12458/1342 10.3390/bdcc7010002 |
| dc.language.none.fl_str_mv | en |
| dc.relation.none.fl_str_mv | Big Data and Cognitive Computing 2504-2289 |
| dc.subject.none.fl_str_mv | big data big data analytics maturity model capability maturity model (CMM) big data maturity model COVID-19 pandemic critical success factors readiness assessment systematic literature review |
| dc.title.none.fl_str_mv | Big Data Maturity Assessment Models: A Systematic Literature Review |
| dc.type.none.fl_str_mv | Controlled Vocabulary for Resource Type Genres::text::periodical::journal::contribution to journal::journal article::review article |
| description | Big Data and analytics have become essential factors in managing the COVID-19 pandemic. As no company can escape the effects of the pandemic, mature Big Data and analytics practices are essential for successful decision-making insights and keeping pace with a changing and unpredictable marketplace. The ability to be successful in Big Data projects is related to the organization’s maturity level. The maturity model is a tool that could be applied to assess the maturity level across specific key dimensions, where the maturity levels indicate an organization’s current capabilities and the desirable state. Big Data maturity models (BDMMs) are a new trend with limited publications published as white papers and web materials by practitioners. While most of the related literature might not have covered all of the existing BDMMs, this systematic literature review (SLR) aims to contribute to the body of knowledge and address the limitations in the existing literature about the existing BDMMs, assessment dimensions, and tools. The SLR strategy in this paper was conducted based on guidelines to perform SLR in software engineering by answering three research questions: (1) What are the existing maturity assessment models for Big Data? (2) What are the assessment dimensions for Big Data maturity models? and (3) What are the assessment tools for Big Data maturity models? This SLR covers the available BDMMs written in English and developed by academics and practitioners (2007–2022). By applying a descriptive qualitative content analysis method for the reviewed publications, this SLR identified 15 BDMMs (10 BDMMs by practitioners and 5 BDMMs by academics). Additionally, this paper presents the limitations of existing BDMMs. The findings of this paper could be used as a grounded reference for assessing the maturity of Big Data. Moreover, this paper will provide managers with critical insights to select the BDMM that fits within their organization to support their data-driven decisions. Future work will investigate the Big Data maturity assessment dimensions towards developing a new Big Data maturity model. |
| id | sorbonner_b4f4389c64754d3cc053cdb96cf61fe6 |
| identifier_str_mv | 10.3390/bdcc7010002 2504-2289 |
| language_invalid_str_mv | en |
| network_acronym_str | sorbonner |
| network_name_str | Sorbonne University Abu Dhabi repository |
| oai_identifier_str | oai:depot.sorbonne.ae:20.500.12458/1342 |
| publishDate | 2022 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Big Data Maturity Assessment Models: A Systematic Literature ReviewAl-Sai, Zaher AliHusin, Mohd HeikalSyed-Mohamad, Sharifah MashitaAbdullah, RosniAbu Zitar, RaedAbualigah, LaithGandomi, Amir H.big databig data analyticsmaturity modelcapability maturity model (CMM)big data maturity modelCOVID-19 pandemiccritical success factorsreadiness assessmentsystematic literature reviewBig Data and analytics have become essential factors in managing the COVID-19 pandemic. As no company can escape the effects of the pandemic, mature Big Data and analytics practices are essential for successful decision-making insights and keeping pace with a changing and unpredictable marketplace. The ability to be successful in Big Data projects is related to the organization’s maturity level. The maturity model is a tool that could be applied to assess the maturity level across specific key dimensions, where the maturity levels indicate an organization’s current capabilities and the desirable state. Big Data maturity models (BDMMs) are a new trend with limited publications published as white papers and web materials by practitioners. While most of the related literature might not have covered all of the existing BDMMs, this systematic literature review (SLR) aims to contribute to the body of knowledge and address the limitations in the existing literature about the existing BDMMs, assessment dimensions, and tools. The SLR strategy in this paper was conducted based on guidelines to perform SLR in software engineering by answering three research questions: (1) What are the existing maturity assessment models for Big Data? (2) What are the assessment dimensions for Big Data maturity models? and (3) What are the assessment tools for Big Data maturity models? This SLR covers the available BDMMs written in English and developed by academics and practitioners (2007–2022). By applying a descriptive qualitative content analysis method for the reviewed publications, this SLR identified 15 BDMMs (10 BDMMs by practitioners and 5 BDMMs by academics). Additionally, this paper presents the limitations of existing BDMMs. The findings of this paper could be used as a grounded reference for assessing the maturity of Big Data. Moreover, this paper will provide managers with critical insights to select the BDMM that fits within their organization to support their data-driven decisions. Future work will investigate the Big Data maturity assessment dimensions towards developing a new Big Data maturity model.2022-12-25T12:23:21Z2022-12-25T12:23:21Z2023Controlled Vocabulary for Resource Type Genres::text::periodical::journal::contribution to journal::journal article::review articleapplication/pdf10.3390/bdcc70100022504-2289https://depot.sorbonne.ae/handle/20.500.12458/134210.3390/bdcc7010002enBig Data and Cognitive Computing2504-2289oai:depot.sorbonne.ae:20.500.12458/13422024-03-10T07:33:11Z |
| spellingShingle | Big Data Maturity Assessment Models: A Systematic Literature Review Al-Sai, Zaher Ali big data big data analytics maturity model capability maturity model (CMM) big data maturity model COVID-19 pandemic critical success factors readiness assessment systematic literature review |
| title | Big Data Maturity Assessment Models: A Systematic Literature Review |
| title_full | Big Data Maturity Assessment Models: A Systematic Literature Review |
| title_fullStr | Big Data Maturity Assessment Models: A Systematic Literature Review |
| title_full_unstemmed | Big Data Maturity Assessment Models: A Systematic Literature Review |
| title_short | Big Data Maturity Assessment Models: A Systematic Literature Review |
| title_sort | Big Data Maturity Assessment Models: A Systematic Literature Review |
| topic | big data big data analytics maturity model capability maturity model (CMM) big data maturity model COVID-19 pandemic critical success factors readiness assessment systematic literature review |
| url | https://depot.sorbonne.ae/handle/20.500.12458/1342 |