Data-driven Innovation: Understanding the Direction for Future Research

In the contemporary age of information, organisations have realised the importance of “data” to innovate and thereby attain a competitive advantage. As a result, firms are more focused on understanding the potential to achieve data-driven innovation (DDI). Researchers too have focused on examining this novel phenomenon in a broader scope. In this study, we conducted a systematic and comprehensive review of the literature to understand the DDI phenomenon. The findings of this study benefit scholars in determining the gaps in the current body of knowledge as well as for practitioners to improve their data strategy to enhance and develop innovation capabilities

Exploring the Critical Success Factors for Data Democratization

With the advent of the Data Age, organisations are constantly under pressure to pay attention to the diffusion of data skills, data responsibilities, and management of accessibility to data analysis tools for the technical as well as non-technical employees. As such, in recent times, organisations are focusing on data governance and management strategies such as ‘data democratization.’ Data democratization is an ongoing process of broadening data access to employees to find, access, self-analyse, and share data by removing data silos. By democratizing organisational data, organisations attempt to ensure that employees can speak the language of data and empower them to use data efficiently to improve their business functionalities. This paper aims to identify the critical success factors for data democratization through an in-depth review of the literature. Based on the findings of the analysis, nine critical success factors were identified as successors of the data democratization strategy

Assessing Organizational Readiness for Data-driven Innovation: A Review of Literature

The growing demand for data has provided many opportunities for organizations to launch data-driven innovation (DDI) initiatives. DDI enables organizations to continuously respond to market opportunities and challenges and thereby sustain competitive advantage. However, many organizations fail in their attempt to implement DDI due to poor organizational readiness. This study investigates key factors that assist organizations in assessing their readiness for DDI. An extensive examination of literature was performed to identify readiness factors. The results highlighted nine organizational readiness factors for DDI based on the theoretical foundations of Technology-Organization and Environment framework and organizational readiness theory. The findings of this study contribute to the growing body of DDI literature and provide insights for organizations interested in implementing DDI initiatives

Exploring Tenets of Data Democratization

Data democratization is an ongoing process that broadens access to data and facilitates employees to find, access, self-analyze, and share data without additional support. This data access management process enables organizations to make informed decisions, which in return enhances organizational performance. Technological advancements and extensive market pressure have mandated organizations to transform their traditional businesses into data-driven organizations, focusing on data democratization as a part of their data governance strategy. This paper explores the tenets of data democratization through an in-depth review of the literature. The analysis identified twelve attributes that enable data democratization based on the literature review. Future work will focus on testing and further empirically investigating these to develop a framework for the data democratization process to overcome the challenges

Exploring Tenets of Data Democratization

Data democratization is an ongoing process that broadens access to data and facilitates employees to find, access, self-analyze, and share data without additional support. This data access management process enables organizations to make informed decisions, which in return enhances organizational performance. Technological advancements and extensive market pressure have mandated organizations to transform their traditional businesses into data-driven organizations, focusing on data democratization as a part of their data governance strategy. This paper explores the tenets of data democratization through an in-depth review of the literature. The analysis identified twelve attributes that enable data democratization based on the literature review. Future work will focus on testing and further empirically investigating these to develop a framework for the data democratization process to overcome the challenges