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

TL;DR

This paper presents a framework integrating DataOps, analytics, and digital transformation using information processing theory to help organizations improve performance and develop analytical capabilities.

Contribution

It introduces a novel framework combining DataOps and digital transformation through IPT, offering a disciplined approach for organizations to leverage data analytics.

Findings

DataOps enhances analytical information processing capabilities.

Framework improves operational efficiency and enables new business models.

Provides a structured approach for digital transformation using data and analytics.

Abstract

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.