#11537. A process assessment model for big data analytics

August 2026publication date
Proposal available till 31-05-2025
4 total number of authors per manuscript0 $

The title of the journal is available only for the authors who have already paid for
Journal’s subject area:
Law;
Computer Science (all);
Computer Science Applications;
Software;
Hardware and Architecture;
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More details about the manuscript: Science Citation Index Expanded or/and Social Sciences Citation Index
Abstract:
Today, business success is essentially powered by data-centric software. Big data analytics (BDA) grasp the potential of generating valuable insights and empowering businesses to support their strategic decision-making. However, although organizations are aware of BDAs’ potential opportunities, they face challenges to satisfy the BDA-specific processes and integrate them into their daily software development lifecycle. However, as a result of the literature review and its analysis, it was observed that none of the existing studies in the BDA domain provides a complete, standardized, and objective capability maturity assessment model. The process dimension covers six BDA-specific processes: business understanding, data understanding, data preparation, model building, evaluation, and deployment and use. The capability dimension has six levels, from not performed to innovating. The results indicate that the proposed model provides significant insights to improve the business value generated by BDA via determining the current capability levels of the organizations BDA processes, deriving a gap analysis, and creating a comprehensive roadmap for continuous improvement in a standardized way.
Keywords:
Big data; Data analytics; Software development; Software process assessment; Software process improvement

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