As Peter Drucker- the forever green management Guru said- the previous century was about finding the Right Answers. But this century 2000 is all about ASKING THE RIGHT QUESTION.
Data storytelling is no exception to this rule that it has to start from the right questions that the target enterprise teams- business / IT/ functions- have.
Obviously, the most important technique for effective data story-telling starts from building the right data story questionnaire. In terms of coverage/ scope of a big data science project, across all the dimensions of the enterprise data landscape:
A sample data-story building questionnaire template is presented below:
e.g. productivity/ sales/ growth targets; marketing campaign design/ campaign efficacy predictions; team KPI definitions & benchmarking; process cost metrics & reduction targets; service quality targets; new business growth targets vs. predictions, etc.) - Good visibility into these WIIFM metrics for each target role/ persona will help the audience relate to the stories at a personal level, which is a key requirement of any effective story-telling practice.
Use of measurable metrics like VaR (Value-at-Risk) can be useful in enhancing value of data stories for target persona.
This is by far the toughest task for data story-tellers. Indirect/ implicit bias measurement tools can be leveraged here.
These data sources need to be analyzed in terms of Portability, Accessibility, Integrability, Usability, Quality, Security, Regulatory Liability and technology infrastructure requirements (in terms of cost, speed, latency tolerance).
e.g. if there are severe resource and time constraints, what are the top 3-5 data sources you MUST have and use? What storylines MUST be covered and presented, and in what ORDER?
What will be the targeted post-story improvements in targeted decision outcomes/ process metrics/ persona performance targets and goals?
Once this questionnaire is completed as results of multiple focus groups and interviews with the targeted audience/ business users/ customer teams, the answers will be collated and the storyboarding phase will start.
For more explanations, other techniques and applications, go to: