What is Data Storytelling?
Data Storytelling is a method that combines data, analysis, and the way information is conveyed to help readers understand the meaning of data in a specific context. Instead of merely presenting numbers or charts, Data Storytelling focuses on constructing a logical narrative, where data serves as evidence to explain an issue or support decision-making.
In reality, a typical data report can show "what is happening," but it may not help the reader understand "why it is happening" and "what to do next." Data Storytelling adds these two elements by placing data in a business context and linking it to the specific goals of the organization. As a result, data not only stops at description but also becomes a tool for supporting action.
5 common mistakes when businesses present data
1. Presenting data without a clear message
A common mistake is that businesses include a lot of data in their reports but do not clearly define the central message that needs to be conveyed. The report may have tables, dashboards, and detailed metrics, but the viewers still do not know what the main conclusion is.
The problem with this presentation is that the reader has to interpret the data on their own. For those who do not directly perform analysis, drawing insights from a large amount of information is very difficult. This can easily lead to each person understanding the report in a different way or missing important signals.
Therefore, when presenting data, businesses need to clearly identify what they want the reader to understand most from the report. Each section of data should serve a specific message, and the entire report should aim to highlight that message consistently.
2. Using complex charts, causing information overload
Data visualization is an important component of Data Storytelling, but if overused, it can have the opposite effect. Many reports use too many types of charts, too many colors, or present too much information on the same screen to create a modern and professional feel.
In fact, this often overwhelms viewers. Instead of quickly grasping the main insight, they have to spend additional time reading, comparing, and reasoning. A multi-layered information chart is not necessarily better than a simple chart that clearly presents the core issue.
Therefore, businesses need to prioritize clarity and consistency in report design. Each chart should serve a specific purpose and help the reader quickly recognize the key insights that the report aims to convey.
3. Do not place data in a specific context
A number by itself often doesn't convey much if it lacks context. This is why many reports, while accurate in terms of data, are not useful in practical management.
For example, if the report states that the conversion rate is 3%, the reader will find it difficult to assess whether that is a good result or not without additional comparative context. This figure needs to be placed alongside data from the previous period, planned targets, industry benchmarks, or characteristics of each customer segment.
Lack of context makes reports disjointed and reduces decision-making ability. Therefore, data always needs to be placed in relation to goals, time, and business context so that readers can correctly understand the meaning and make accurate assessments.
4. Not understanding the correct audience for the report
Another mistake is that businesses use the same data presentation for all audiences. In reality, leaders, operations managers, sales personnel, and analysts all have different information needs and ways of receiving data.
If the report is intended for the management but is too detailed in technical aspects, the reader may not grasp the main idea. Conversely, if the report is meant for the specialized team but is too brief and lacks analytical logic, it will be difficult for the report to establish credibility.
Therefore, effective Data Storytelling needs to be tailored to specific target groups. By understanding who the readers are and what they need, businesses can present data in a more suitable way, helping the information to be received quickly and accurately.
5. The report contains analysis but does not lead to action
A good report does not just stop at describing the current situation, but should also suggest or propose specific actions. However, many businesses still view the completion of the report as the endpoint, while the greatest value of the data lies in its ability to support decision-making.
When a report does not provide a course of action, the data can easily become passive reference information. The viewer may understand the issue, but still may not be clear on what to prioritize, where to make changes, or what the next steps are.
Therefore, each report needs to focus on supporting decision-making, not just providing information. Ending with clear recommendations will help ensure that the data is actually used in practice and creates value for the business.
In summary, Data Storytelling is the ability that helps businesses transform data into meaningful information, turn information into insights, and from insights to action. In the context of an increasing amount of data and a faster decision-making pace, the ability to tell stories with data is becoming an important part of modern management capabilities.
Five common mistakes include: lacking a clear message, overusing complex charts, lacking context, not understanding the audience, and failing to connect data to action. If these issues are not addressed, businesses may have a lot of data but still fail to harness the true value of data in management.
At RIDE, we also recognize that the value of data lies not only in its collection or analysis but also in how the data is interpreted and transformed into practical decisions. Therefore, the ability to think data-driven and communicate data effectively is increasingly becoming an important aspect of the organization's digital capability development journey.