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Digital business transformation has become increasingly important fororganizations. Since transforming business digitally is an ongoing process, itrequires an integrated and disciplined approach. Data Operations (DataOps),emerging in practice, can provide organizations with such an approach toleverage data and analytics for digital business transformation. This paperproposes a framework that integrates digital business transformation, dataanalytics, and DataOps through the lens of information processing theory (IPT).The details of this framework explain how organizations can employ DataOps asan integrated and disciplined approach to understand their analyticalinformation needs and develop the analytical information processing capabilityrequired for digital business transformation. DataOps-enabled digital businesstransformation, in turn, improves organizational performance by improvingoperational efficiency and creating new business models. This research extendscurrent knowledge on digital transformation by bringing in DataOps andanalytics through IPT and thereby provide organizations with a novel approachfor their digital business transformations.

Leveraging Data and Analytics for Digital Business Transformation through DataOps: An Information Processing Perspective