Good ideas in the Harvard Business Review blogpost, “A Data Scientist’s Real Job: Storytelling”. It’s an account from the DoSomething.org staff who review gobs of data in order to determine the best story to tell to move their readership towards action.
Using Big Data successfully requires human translation and context whether it’s for your staff or the people your organization is trying to reach. Without a human frame, like photos or words that make emotion salient, data will only confuse, and certainly won’t lead to smart organizational behavior.
Data gives you the what, but humans know the why.
So…how to avoid the data deluge and compile data that motivates towards change?
- Look only for data that affect your organization’s key metrics.
- Present data so that everyone can grasp the insights.
- Return to the data with new questions.
The important conclusion is that the data scientist’s job is qualitative – “asking questions, creating directives from our data, and telling its story.”
Read the full post at: