It’s important for each organization to ask, what is data and analytics for us and what initiatives (projects) and budgets are necessary to capture the opportunities.
The key steps in planning data and analytics strategy are to:
Start with the mission and goals of the organization
Determine the strategic impact of data & analytics on those goals
Prioritize action steps to realize business goals using data & analytics objectives
Build a data & analytics strategic roadmap
Implement that roadmap (i.e., projects, programs and products) with a consistent and modern operating model
Communicate data and analytics strategy and its impact and results to win support for execution
The enterprise operating model for data and analytics must also work to overcome gaps in the data ecosystem, data architectures, organizational delivery approaches and skills — including data analyst, data scientist and data engineering skills — needed to execute the D&A strategy.