These skill sets are combined to produce data products that make it easy for people to consume the insights being made available. This can often involve the technical ability to create custom data products outside of common visualization tools (Tableau, Power BI, etc.)
Storytelling with data involves visualization skill sets, data analysis, and exposition. If there are specific insights that need to be understood or acted upon, there is a need for storytelling skill sets. This is an area that can be – and often is – done by data professionals, or non-data professionals, with a minimum of technical ability. However, like with data analysis, it is very easy to go wrong unintentionally without a solid grounding in data literacy.
Picture an individual who is skilled at making convincing arguments with data but not particularly skilled in how to properly interpret data, the limits of data, or the ethics of data. Such individuals, usually unintentionally, can do a great deal of damage by convincing individuals and organizations of things that are incorrect.