Data Story-Telling: Telling Your Story Through Data Analytics

1 year ago SETHA THAY 1368
Data Story-Telling: Telling Your Story Through Data Analytics

In this blog post, we are going to introduce you to an example of data story-telling. Data Story-Telling is a methodology to present a story by analyzing data as proof to support your story. The proof of story can be a dashboard, graph, or any visual to easily for judgment.


Imagine that you are an IT manager. Your team receives tickets, or technical issues, from employees. In May last year, there were two people quitting your team. You have heard complaints from the remaining employees about doing more work.

You are wondering if you should hire more people. First, you want to understand what impact the departure of employees has had on your team's overall productivity. You plot the monthly trend of incoming tickets and those processed over the past year. You see that there is some evidence your team's productivity is suffering from being short-staffed and now want to turn the quick-and-dirty visual you created into the basis for your hiring request.

1. Revise your IT-ticket visual to meet the objective in the above-mentioned scenario.
2. Construct your story's target and storyline.
3. Present your result in a storytelling manner.


Ticket Type Month Number
Received January 160
Received February 184
Received March 241
Received April 149
Received May 180
Received June 161
Received July 132
Received August 202
Received September 160
Received October 139
Received November 149
Received December 177
Processed January 160
Processed February 184
Processed March 237
Processed April 148
Processed May 181
Processed June 150
Processed July 123
Processed August 156
Processed September 126
Processed October 104
Processed November 124
Processed December 140


We can do an experiment on the above hypothesis which will describe below:


  1. Audience: IT Director, HR Executive, Board of Directors
  2. Objective: Request to hire more staff to boost the work productivity
  3. Evidence: Demonstrate the proof of the monthly trend of received and processed tickets with a chart


Step Outlines
  • We at the IT department observed a pessimistic effect of employee resignation (2 staff) and complaints from other employees due to task overload in May last year
  • We literally want to deliver tasks on time to meet the deadline and obtain achievement
Obstacles (Challenges)
  • Staff feel unsatisfied and lack motivation toward their career
  • Impact overall work productivity, tasks overdue, no achievement
Struggle (Conflict)
  • We were delighted trying to solve this issue to encourage staff to gain more work productivity
  • We thought about recruiting more employees in order to support daily task operations
  • We want to understand the impact of departure staff on the overall productivity
  • To test whether we could identify the issue or not, we decided to plot the monthly trend of received and processed tickets over the past year
  • The result showed that there was a discrepancy starting from June (June to July displays a small discrepancy, Aug and Dec shows a big discrepancy)
  • As per observation from Jan to May, we could be able to process 910 out of 914 tickets which is equivalent to 99.56% (Processed), 0.44% (Remaining)
  • However, from Jun to Dec, we could only process 923 out of 1120 tickets which is equivalent to 82.41% (Processed), 17.59% (Remaining)
Lessons / Recommendation Actions
  • The chart illustrates the actual amount of processed tickets compared to received tickets.
  • Provide benefits/rewards and certificate of appreciation
  • Please kindly approve the request to recruit more staff to enhance the overall work productivity, support daily operations, and meet the expected deadline for all related tasks



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