{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T02:56:17Z","timestamp":1760237777298,"version":"build-2065373602"},"reference-count":17,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2020,6,23]],"date-time":"2020-06-23T00:00:00Z","timestamp":1592870400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["BDCC"],"abstract":"<jats:p>Big Data can help users attain a competitive advantage, and evidence suggests that by utilising Big Data, organisations can generate insight that can help strengthen their decision-making capabilities. However, a key issue remains that much data is trapped in legacy systems, and is hence not being appropriately retrieved and utilised. This paper builds on the existing literature base to investigate the challenges and issues organisations face in utilising Big Data. Through results of a survey with 97 respondents, this work shows that these issues can be categorised into six areas, including issues of format and structure of the data, as well as identification of the key need for a framework and architecture for organising Big Data.<\/jats:p>","DOI":"10.3390\/bdcc4020015","type":"journal-article","created":{"date-parts":[[2020,6,23]],"date-time":"2020-06-23T04:51:16Z","timestamp":1592887876000},"page":"15","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Leveraging the Organisational Legacy: Understanding How Businesses Integrate Legacy Data into Their Big Data Plans"],"prefix":"10.3390","volume":"4","author":[{"given":"Sanjay","family":"Jha","sequence":"first","affiliation":[{"name":"School of Engineering and Technology, Central Queensland University, Sydney 2000, Australia"}]},{"given":"Meena","family":"Jha","sequence":"additional","affiliation":[{"name":"School of Engineering and Technology, Central Queensland University, Sydney 2000, Australia"}]},{"given":"Liam","family":"O\u2019Brien","sequence":"additional","affiliation":[{"name":"Department of Home Affairs, Government of Australia, Belconnen 2617, Australia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1444-1563","authenticated-orcid":false,"given":"Michael","family":"Cowling","sequence":"additional","affiliation":[{"name":"School of Engineering and Technology, Central Queensland University, Brisbane 4000, Australia"}]},{"given":"Marilyn","family":"Wells","sequence":"additional","affiliation":[{"name":"School of Engineering and Technology, Central Queensland University, Rockhampton 4702, Australia"}]}],"member":"1968","published-online":{"date-parts":[[2020,6,23]]},"reference":[{"key":"ref_1","unstructured":"Reinsel, D., Gantz, J., and Rydning, J. (2017). Data Age 2025: The Evolution of Data to Life-Critical, International Data Corporation."},{"key":"ref_2","unstructured":"Pearson, T., and Wegener, R. (2019, February 01). Big Data: The Organisational Challenge. Available online: https:\/\/www.bain.com\/contentassets\/25c167a5149c42168994338f9dc99ffe\/bain_brief_big_data_the_organizational_challenge.pdf."},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Bhadani, A.K., and Jothimani, D. (2016). Edited book chapter Big Data: Challenges and Opportunities, and Realities. Effective Big Data Management and Opportunities for Implementation, IGI Global.","DOI":"10.4018\/978-1-5225-0182-4.ch001"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"1","DOI":"10.9756\/BIJDM.8001","article-title":"Data Integration in Big Data Environment","volume":"5","author":"Arputhamary","year":"2015","journal-title":"Bonfring Int. J. 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The Good Research Guide: For Small-scale Social Research Projects, Open University Press."}],"container-title":["Big Data and Cognitive Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2504-2289\/4\/2\/15\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T09:41:29Z","timestamp":1760175689000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2504-2289\/4\/2\/15"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,6,23]]},"references-count":17,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2020,6]]}},"alternative-id":["bdcc4020015"],"URL":"https:\/\/doi.org\/10.3390\/bdcc4020015","relation":{},"ISSN":["2504-2289"],"issn-type":[{"type":"electronic","value":"2504-2289"}],"subject":[],"published":{"date-parts":[[2020,6,23]]}}}