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We find context when we know who we are working with and why they're doing what they are doing. We learn the context when we talk to them about their long-term goals. The context provides a project with larger goals and helps to keep us on track.
An example of context: A news organisation produces stories and editorials for a wide audience. It gets money from advertising and through premium subscriptions to its content. The final decision-maker is the head of online business.
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Most people approach data the wrong way: They start with a data set, then use their favourite tools and techniques on it. This produces a narrow set of unsurprising results.
Vision is when we take a glimpse of what it will look like to meet the need with data. The vision consist of the following:
We can find structure when we create the scope for a data problem. A scope is the outline of a story of why we are focusing on this problem.
The data scientist wants to know how the data and/or insights will be used. How will it be integrated into the organisation? Who will use the data, and why?
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