One of the key elements of any data and analytics culture must be the data literacy of your teams. However, it can be difficult to define both what data literacy means for your organization and what the right levels of data competence are for different roles in different divisions of your organization. There is no one-size-fits-all data literacy strategy, even for a single enterprise.
In this session, Donald Farmer will outline the process of building an agile game plan for establishing data analytics and literacy in your culture. Going beyond maturity model assessment, Farmer will show how to identify pragmatic, focused, achievable, and prioritized projects to enhance data literacy where it is needed.
Farmer will also establish the critical strategy of saying “No.” Not every team needs to be doing machine learning or AI. Analytics is not a race to be the most advanced or most mature. You will learn to identify what is needed, what is achievable, and what your stretch goals could be. However, it is just as important to avoid chasing trendy technologies that may have little business impact.
The result should be a well-scoped, agile, and achievable game plan for a data-literate organization: one that is innovative, but takes account of risks and opportunities.