8 ways to improve your data story telling.

July 28, 2018

We are living at a time when data has been dubbed ‘gold of the age’, with most of the largest businesses like Google, Facebook, Uber and others being in the data business. The tremendous growth in these organizations which are data driven has significantly inspired both small and large corporation to see the value of data. This is progressively inspiring the change in business perception towards use of data both operationally and strategically. Many organization are now encouraging staff and executives on use of data to back their decisions. And large organizations with thousands of clients are launching analytical portals to keep their customers updated on different services from the data point. However, to see the fruits of using data, you must win the communication aspect, your analytical product should be easy to read and interpret. That’s why in this article we’ll explore eight steps which could highly impact your data story telling.

Note; this content has been generated in Tableau but is applicable in other business intelligence tools available in the market.

1. Choose your level of analysis.

In many instances you will find data arranged in hierarchical manner depending by the nature of institution. For retail sector, this could be from product category to product sub-category to products. Or County to District to Location to Sub location for Country administration data. As a developer, it’s good to understand the level your persona will be interested and build your story just on that level. If your persona’s interest lies in the whole data, the best approach is to build your analysis at the course level (County for administration data) but still enabling users to drill down to fine level data (Sub-location data).

A good example is this dashboard on population and internet user’s statistics in Africa 2018. Users can view metrics at continent level and drill down to specific countries of choice.

Interact with the dashboard here.

Related: Hammering your first analytics assignment.

2. Choose the right charts and graphs.

With a good understanding of the level of analysis, it’s important to select charts or graphs which presents your data insights visually well. A good example to related with, is when telling a story on distributions of data, a box plot and histogram will be the first charts to think of. But, be assured the two charts may not be equally suitable for your data at hand, that’s why it good to test the two and chose the most suitable chart. It is also advisable to test how your chart behaves when data is sliced to lower levels with fewer data points.

Related: How to build charts and graphs in Tableau.

3. Avoid unnecessary marks.

Space is critical in dashboard building process, and therefore anything that features in your dashboard MUST add value. A good example on instances where unnecessary marks get into your dashboard is displaying axis while at the same time having the charts labeled.

In such cases, the axis does not add value to your story because users can see the metrics themselves.

Minimizing much of these unnecessary marks will make your work neat and easy to read.

4. Be conservative with color.

Color is good in our dashboard. It helps us have better memories; color can sway thinking, change action and cause reaction. However, use of color should be limited in dashboards; it’s advisable to use three to four colors in your dashboard (dashboard background included). In case you need to add more colors to your dashboard, you can play around with different gradients of the main color.

Interact with dashboard here.

5. Add images and icons to enrich your story.

At the heart of every developer, is the goal to tell the story right. While this may not be obvious to do, adding some images and icons related with the context of your story could sometimes help you enrich your story. A good example is this dashboard, where the author used icon of bird, mammal, reptile and plane tell the story.

Interact with dashboard here.

6. Avoid too much information.

Have you ever found yourself with a well-designed information dashboard, only to realize you can’t use it to answer business questions? If you have, you know how disappointing this is, both as a decision maker or a developer for spending much invaluable time. To avoid these scenarios, it's good to stick to what your projects objective entails. Avoid adding too much information and charts in your dashboard which could distract users from the main objective. It’s good to note that any additional details consumes your resources (performance of your dashboard).

7. Help users interact with your content.

Have you ever visited a new suburb only to find yourself stuck not knowing how to navigate in the area, especially when you don’t have clear guideline? Could be a conference you attended, visiting clients or friends! Can you remember the experience? Probably you do. This is the same experience your users go through when they visit your well designed content only to find themselves stuck without information on how to interact with your content. As a developer, it’s good to help your users by giving them guideline on how to consume your content.

Interact with dashboard here.

8. Use of color legends and titles.

It’s always good to ensure that your title resonates with your story. Also use of color legends should be looked at careful, especially in instances where different charts within the dashboard use different color legends. As a developer, it is important to evaluate the value of your color legend to the user, color legends which don’t necessary guide users interacting with the dashboard are not helpful and should be omitted. Using title color legend could help save space of your dashboard.

Related: How to use title color legends.

Bonus point

It’s good to note that, not everyone will be satisfied by what your dashboard offers, users will always have questions. That’s why, it’s good to help them know the contributor of your data (in case you’re using open source data/external data), author of the dashboard (in case they need to reach you for more answers or requesting for a customized dashboard) and of course the source of the data and how to access it (if the license governing the data permits them).

Interact with dashboard here.

A lot of factors may be the reason to your next great data story, but implementing the eight steps above in your next dashboard could make the smallest difference that counts.

 

 

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