Data-driven online monitoring of nuclear power plants aims to improve the economic viability of the plants by reducing the cost of operations and maintenance (O&M) activities. This can be accomplished by reducing the labor hours, frequency of activities, materials, and support activities needed. A technology roadmap to migrate plants from a manual inspection process to a data-driven online monitoring process is a systematic guideline to prioritize resource utilization and the amount and/or type of data collected, while taking advantage of improved analytical and visualization techniques to extract better insights from the data. This process maximizes the value of the migration to a data-driven approach, and tackles various change management challenges to the deployment of online monitoring methods. Without an end-state vision and migration plan, plants risk wasting resources by implementing multiple incremental system upgrades as each new technology or process is incorporated. This paper presents a summary of the migration process for each of six elements required to fully or partially automate manual processes in nuclear power plants. These elements are data collection, data management, data analytics, data visualization, value analysis, and change management.