Embedded algorithms processing big data are proposed to reduce human information processing demands.
Edward Tenner in his book The Efficiency Paradox: What Big Data Can’t Do [Alfred a Knopf, 2018] proposes that the efficiency from embedded Big Data Analytics can be counterproductive, e.g., missed opportunities, adopting new approaches, less intuitive thinking.
He provides a persuasive rationale for his position including many valuable examples. Tenner recommends that a selective combination of embedded algorithms and human intuition will improve judgments, learning and decision-making.
Our mental effort or workload is reduced when a set of information items or chunks are delivered as a story. Indeed our ability to recall the content also is improved. A new book Storynomics: Story-Driven Marketing in the Post-Advertising World by respected storyteller Robert McKee & Thomas Gerace (Twelvebooks.com; Hatchett Book Group; March 2018) provides a field-tested approach to creating effective stories.
Decades ago, I (others also?) proposed that Information was defined as more than “data relevant to the task,” but also an effective representation or format to understand and communicate the information effectively. Stories provide an extremely effective frame for delivering information content. A number of software modeling applications, e.g., Tableau and IBM WATSON Analytics have built-in capability for creating storyboards. These are elements that are more than a PPT deck–a set of slides integrated by a common storyline having a captivating beginning, followed by valuable content, and often concluded with some “call to action.” If you have not tried storyboarding to reduce the mental processing effort by your audience, jump onto the storytelling bandwagon.