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Roadmap for business analytics implementation using DIPPS model for sustainable business excellence: case studies from the multiple fields

Author

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  • Santosh B. Rane
  • Nandkumar Mishra

Abstract

Today the organisations are increasingly adopting analytics for breakthrough business results. There are enough talks about potentials of business analytics, software solutions on analytics and data visualisations. However, very few success stories are published and easily available in public domain. The focus is required to translate potentials of analytics into the breakthrough business results. This paper proposes discover-innovate-predict-perform-sustain (DIPPS) model for the business excellence through analytics. It also presents success stories of big data analytics and industrial internet of the things (IIoT) from the multiple fields for the breakthrough business results. The hypothesis testing indicates that the organisations deploying the DIPPS model have higher success rate and the probability of achieving their analytics goals.

Suggested Citation

  • Santosh B. Rane & Nandkumar Mishra, 2018. "Roadmap for business analytics implementation using DIPPS model for sustainable business excellence: case studies from the multiple fields," International Journal of Business Excellence, Inderscience Enterprises Ltd, vol. 15(3), pages 308-334.
    • Handle: RePEc:ids:ijbexc:v:15:y:2018:i:3:p:308-334
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    Citations

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    Cited by:

    1. Santosh B. Rane & Yahya Abdul Majid Narvel, 2022. "Data-driven decision making with Blockchain-IoT integrated architecture: a project resource management agility perspective of industry 4.0," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(2), pages 1005-1023, April.
    2. Santosh B. Rane & Yahya A. M. Narvel, 2021. "Leveraging the industry 4.0 technologies for improving agility of project procurement management processes," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 12(6), pages 1146-1172, December.
    3. Santosh B. Rane & Prathamesh R. Potdar & Suraj Rane, 2019. "Accelerated life testing for reliability improvement: a case study on Moulded Case Circuit Breaker (MCCB) mechanism," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 10(6), pages 1668-1690, December.
    4. Sainath G. Bidikar & Santosh B. Rane & Prathamesh R. Potdar, 2022. "Product development using Design for Six Sigma approach: case study in switchgear industry," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(1), pages 203-230, February.
    5. Santosh B. Rane & Sandesh Wavhal & Prathamesh R. Potdar, 2023. "Integration of Lean Six Sigma with Internet of Things (IoT) for productivity improvement: a case study of contactor manufacturing industry," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 14(5), pages 1990-2018, October.
    6. Kayabay, Kerem & Gökalp, Mert Onuralp & Gökalp, Ebru & Erhan Eren, P. & Koçyiğit, Altan, 2022. "Data science roadmapping: An architectural framework for facilitating transformation towards a data-driven organization," Technological Forecasting and Social Change, Elsevier, vol. 174(C).

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