Data Storytelling - Art to Science

Master the flow by prioritizing storytelling processes over rules, organize content into mega chunks for dashboards and decks, and align touchpoints with a single voice, executive summary, and storyboard.

Define what an insight is by distinguishing it from data, technology, jargon, and observations, and note that insights enable better decisions for stakeholders.

Identify big, useful, surprising, non-obvious insights by following a checklist, turning vague problems into actionable observations and communicating objectives and outcomes for decision making.

Frame problems, define success with metrics like year-over-year change and attainment percentage, and use four Ps and two-by-two matrices to guide data-driven observations.

Create a message-driven narrative from the Boomi 2040 story, tying analysis details to client impact, market share projections, and adoption of clinical trial results across patient cohorts.

Harness data storytelling by tailoring the audience and objective, transforming analysis into outcomes for senior managers, customers, peers, and partners, with numbers that drive decisions.

Learn to make a data story engaging by using presentation to evoke emotion and drama, analyzing revenue performance across time and dimensions, and considering improvements.

Master visualization do's and don'ts by prioritizing intent, less is more, simple design, and consistent axes, using color and aspect ratio to clarify comparisons across cities like Mumbai and Delhi.

Explore visual encoding as the language of visualization, comparing line, bar, pie, lollipop, and bubble charts, and study how color and range shape choices in a Mackenzie GDP study.

Develop drama in data storytelling by simulating scenarios with pricing and marketing models, using brand elements and relatable characters to tailor visuals to stakeholders and drive memorable insights.

Begin with why, what, and how to frame a data storytelling task; this lecture guides setting objectives, selecting relevant data, and building an appealing dashboard with visuals and recommendations.

Discover three golden tips for dashboards: start with a sample, link across tabs, master pivot tables. Analyze attainment over time and market share, and connect slicers to pivots for formatting.

Explore a master class style dashboard with key metrics, regions, products, and dimensions, using left aligned slicers, static charts, and storytelling to turn data into insights.