The Thesis proposal should be followed while writing the research. Thesis handbook is attached for formatting and guidelines consideration. The research should be zero AI and Zero plagiarism. Please check the comments highlighted in the proposal.**dr comment on data sources: Be then really precise about how you search for sources and on which data basis as well as including and excluding criteria.my reply:
This research will employ a systematic literature review approach to synthesize and analyze existing research on data monetization including:Objectives:1. Create road map for successful data monetization strategy from a data governance perspective to provide a structured step by step guide for organizations to successfully monetize their data including:Process Steps: Outlining the stages for implementing data monetization strategiesCatalog of Governance Practices: Compiling best practices, policies, and frameworksKey Artifacts: Identifying essential tools, templates, and documents (e.g., data governance frameworks, data quality management checklists)Abstract:
According to Gartner (n.d), Data Monetization refers to the process of using data to obtain quantifiable economic benefit
In an era characterized by data proliferation and increasing competition, the ability to harness data as a strategic asset is paramount.
Despite its potential, many organizations encounter significant challenges in effectively monetizing their data, including data quality issues, insufficient data literacy, technical hurdles, and a dearth of actionable guidelines Thomas and Leiponen (2016).
This research seeks to answer the question:
What are the most effective strategies and governance practices for organizations to successfully monetize their data, and how can a structured roadmap guide this process?
through a comprehensive analysis of existing studies and reports.
By uncovering these strategies and obstacles, this study seeks to provide actionable insights for organizations to develop robust data monetization strategy from a data governance perspective. Ultimately, the goal is to empower organizations to unlock the full economic potential of their data assets and gain a competitive edge.
