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Tableau Introduction – Story Points

Tableau Introduction - Story Points

December 30, 2014

Tableau - Story Points

Tableau – Story Points

So what do you do when you have all the reports, dashboards, and models? Create Story Points. Tableau’s Story Points enables users to share data in the form of a story.

Here is how it helps – Tableau Story Points saves upper managements get major highlights/theme/trend straight away, with a fraction of a minute, these guys simply have no time staring at a dozen reports every day/week from different departments – sales, marketing, finance, operations, IT…

More importantly, to ensure everyone gets the same story, as more often than not the same data is interpreted in different ways by different individuals depending on their background. Tableau Story Points help user build a narrative or a story using the data visualizations and dashboards for easier sharing with others. People find it easier to grasp and remember concepts when told in the form of a story like in case of books or movies.

Here is a sample story point that narrates the Analysis of Shipping Costs and Identification of Problem Areas of a fictitious store. The story point consists of four panes each with a dashboard related to a critical data.

Pane 1:

The three charts in this pane (Shipping cost by Product category, Shipping cost by Product sub-category and Furniture shipping cost by shipping mode) are all simple bar charts comparing shipping costs of various items against categories.

Shipping cost by Product category, Shipping cost by Product sub-category and Furniture shipping cost by shipping mode

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Pane 2:

This pane shows the geographic distribution of shipping costs across the country in an interactive map and a bar chart showing no. of discounts given to customers per state. Users can click or mouse over the states to see the raw data. From this pane, it becomes clear that California has abnormally high shipping costs compared to the rest of the country .

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Shipping costs by location.

Pane 3:

This pane drills down further into shipping costs per city in California. Shipping costs are represented by the colour shade of the circle and the corresponding sales from that city is represented by its size. From this visualization, it can be easily deduced that California is the problem city with abnormally high shipping costs and also the highest sales vale. This pane also shows the list of customers in California and their corresponding sales, profits and shipping costs to identify problem customers.

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Pane 4:

The final pane summarizes the deductions based on the data analyses in previous panes.

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On the whole a great and an exciting feature.

So what stories does your data tell?

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