Data Storytelling in Business - Data that Leads to Decisions

I am a certified business trainer specializing in data-driven communication, presentations, and public speaking. My training work is based on over 15 years of experience in the corporate world, where I have worked in both expert and managerial positions. Over the years, I have been responsible for data analysis, user experience design, and presenting results and recommendations to stakeholders—from project teams to management. I led a UX/UI team at mBank and managed projects that required integrating analytical, business, and decision-making perspectives. I understand the realities of working with data in organizations: time pressure, information complexity, and the difficulty of translating analyses into decisions and actions. I leverage this knowledge to help analysts, managers, and project teams communicate insights more effectively, build recommendations, and increase the impact of their work.

“Data Storytelling in Business” is a practical training dedicated to effective data communication in the context of decision-making. The training focuses on what happens after analysis—formulating insights, building narratives, and guiding audiences to understanding and action. Participants learn how to select data, organize it into a logical story, and present conclusions in a way that is understandable to non-technical audiences. Data storytelling is not treated here as a "story for effect," but as a working tool that supports business decisions, priorities, and changes. The training is workshop-based. Participants work on real business examples, analyze data, formulate insights, and build recommendations that can be directly applied in their daily work.

• for business and data analysts who present their work results
• for project managers and product managers working with data
• for managers and team leaders reporting results and recommendations
• for specialists who want to increase the impact of their analyses on decisions
• for individuals who notice that data is correct but does not lead to action

• develop skills in translating data into understandable insights
• teach a narrative structure that supports business decisions
• show how to guide audiences from observations to recommendations
• enhance the effectiveness of presenting data to non-technical audiences

• you will learn to identify key insights instead of presenting excess data
• you will organize analyses into a logical and readable narrative
• you will more effectively guide audiences to conclusions and decisions
• you will increase understanding and acceptance of your recommendations
• you will reduce the number of meetings that end without conclusions and actions

• Introduction and Framework
  – purpose and logic of the training
  – workshop working method
  – two modes of working with data: analysis and communication

• How Meaning is Created in Working with Data
  – the role of context and framing information
  – the impact of structure on data interpretation
  – responsibility for how conclusions are read

• Selection of Insights
  – the difference between observation and conclusion
  – identifying key information
  – reducing excess data
  – principle: one insight, one message

• From Insight to Message
  – formulating the main message
  – the question "what follows from this?"
  – the audience's and decision's perspective
  – defining possible actions and consequences

• Logical Structure of Data Narratives
  – organizing information into a coherent sequence
  – building understanding step by step
  – guiding the audience to a conclusion

• Visualization as Support for Argument
  – the role of visualization in explaining data
  – selecting key statistics
  – principle: one slide, one argument

• Storytelling as a Layer of Meaning
  – the role of the hero in understanding data
  – personas as a tool for interpretation
  – assigning consequences and meaning to conclusions

• Workshop on Case Studies
  – building a complete story based on data
  – selecting insights, formulating messages, and visualizing
  – short presentations and feedback

• Summary and Conclusions
  – key elements of effective data storytelling
  – common mistakes in data communication
  – transferring the approach to daily work

7h

• full-day training in workshop format
• training and exercise materials
• certificate of completion