Data is the starting point of a Data Storytelling project. It’s multiple, and one must be precise and fast in their exploitation, whether in terms of analysis or publication. This good exploitation will make it possible to create explicit and impactful stories easily understandable by the users.
We created Datatelling, a data storytelling solution, to help companies implement and disseminate effective stories around key business data.
Here we share some best practices to get the most out of your data and share it with different audiences. We recommend following 3 essential steps to successfully implement effective data storytelling:
- How to gather data
- How to identify interesting stories in data
- How to use Datatelling for your chosen story
Ready? Let’s get started.
1. How To Acquire Data?
To start off, you have to first load your data. Lucky for you, Datatelling can connect to your SQL data. You can also easily load your CSV files and/or reate some views on external resources like pdf files, images, etc.
2. How To Identify Interesting Stories Using Data
Now that you have your data sets and a story you’d like to tell, it’s time to first develop a central theme and story structure. According to Buzzsumo, you can develop a story structure and central theme using the below five core narratives:
Identify Trends: For example, are people ordering your products using their PCs less in favor of tablets and smartphones? Is there a growth in online shopping behavior in a certain country or region? Trends are indicators that there is a general direction in which something is changing or developing, and it’s something you should look out for in your data.
Even a line chart can be used for comparisons and can tell a good story, like the graph on the turnover of a retail company related to the previous year and the targer.
Using rankings: For example, which are the best performers for each category of products. Is iTunes being ranked number one in the list of most valuable platforms for EST, while for VOD ?
Rankings tell a story using data about the relationship between items on a list.
Draw comparisons: For example, how do you perform each day this year versus the same days of the previous year? Comparisons tell a side-by-side story between either polar opposites, or very similar things.
Using an e-commerce webiste as an example, we’ll compare the current converting rate with the same of the previous year.
Point out the relationship between data points: For example, the influx of bitcoin mining companies moving to Canada is leading to rising costs in energy prices for local residents. Relationships between data points tell a story by showing a connection or correlation between a number of variables – like the popularity of bitcoin and expensive utility bills.
3. How To Use Datatelling For Your Chosen Story
Now that your data is ready, it’s time to define the structure of your story, with sections and graphics, that will be associated with your data and message.
The image below shows, for example, unit figures (gauges) as well as graphs analyzing the sales of a film whether in the physical circuit or on the VOD platforms.
The objective at this stage is to define the main indicators / levers for this business, sort them in order of importance, and create a story around these indicators. The first section should show the most important levers for the business since this section will be seen in full and from the opening of the story.In this example, the user sees directly the number of pieces sold which will be sold at the end of the week. (extrapolation), as well as the% of progress with respect to delivery, etc. The user can then continue in the story to understand these KPIs.
In another example, a bubble chart will be used to analyze market shares of CRM segments as well as their evolution versus N-1. This bubble chart is coupled with a donut and bar graph to visualize on one side the YTD number and the evolution over time.
You can also consider being creative but pragmatic in your data visualizations, related your subject matter and your audience. For example, if you are presenting on an product-related topic, you could consider getting creative and adding pictures of products and ranking.
Other than that, you’ve got all the basics here and are well on your way to becoming a storyteller of data.
In Datatelling, we have all the charts and graphs which makes it easy to visualize your data.