Implementing Data Strategies in Organisations: A Structure for Creating Data Driven Businesses

Abstract

The majority of businesses find it difficult to successfully convert data strategy into a methodical, 
enterprise-wide transformation, despite the rising awareness of data as a vital organisational asset. This 
article's goal is to provide an organisational data management conceptual framework that views data as 
an essential operational resource. It outlines four essential dimensions—governance, data management, 
analytics, and raising awareness of the significance of data and analytics inside and across firm 
sectors—based on a comprehensive examination of the literature and empirical research. While data 
management comprises fundamental components such as data integration requirements, management 
lifecycle regulations, and data quality methods, governance specifies an overarching ownership 
framework, policy institutions, and decision-making mechanisms. Analytics serves as the method that 
generates value, but Data Culture exemplifies the collection of behaviours and cognitive capacities that 
allow for the proper use of data. An organisation requires comprehensive solutions that address every 
facet of data projects, support fundamental business objectives, and accommodate employee 
expectations, according to a review of important concepts including data stewardship, self-service 
analytics, and change management. The approach gives businesses specific procedures to generate 
useful data that easily integrates with their corporate decision-making platforms.