  Digital business transformation has become increasingly important for
organizations. Since transforming business digitally is an ongoing process, it
requires an integrated and disciplined approach. Data Operations (DataOps),
emerging in practice, can provide organizations with such an approach to
leverage data and analytics for digital business transformation. This paper
proposes a framework that integrates digital business transformation, data
analytics, and DataOps through the lens of information processing theory (IPT).
The details of this framework explain how organizations can employ DataOps as
an integrated and disciplined approach to understand their analytical
information needs and develop the analytical information processing capability
required for digital business transformation. DataOps-enabled digital business
transformation, in turn, improves organizational performance by improving
operational efficiency and creating new business models. This research extends
current knowledge on digital transformation by bringing in DataOps and
analytics through IPT and thereby provide organizations with a novel approach
for their digital business transformations.
