Data Strategy Implementation in Organizations: A Framework for Building Data-Driven Enterprises

Abstract

The objective of this paper is to discuss a conceptual framework that can be used for DM in the context of organizations to conceptualize data as a strategic asset. Based on a systematic literature review and empirical research, it identifies four key dimensions: These include Governance, Data Management, Analytics, and creating awareness of the importance of data and analytics within and across company departments. While Governance is a broad term referring to the ownership, policies and decision-making area, Data Management covers data quality, integration and management life-cycle aspects. Analytics refers to methodologies for creating value whereas Data Culture entails practices, skills, and mind-sets for appropriately utilizing data. The issues arising from the analysis of some of the specific concepts like data stewardship, self-service analytics, and change management that the implies the need for a holistic solution that addresses all aspects of data initiatives in the organization and for support of core business objectives as well as to the people in the organization. On a practical level, it offers a practical framework, which can be followed by organizations to enable the creation of high-quality data that is fully integrated into the organization’s decision-making framework.