Post by Merve S. Yamanoglu

#GenerativeAI #DataVisualization From numbers to Strategic Decisions: How does Gen AI change Data Visualization Communication In today’s world the impact of digitalization is constantly growing. Companies create new data every day. However, today’s problem isn’t reaching or storing the data but creating insights. The most common methods in companies are making them dependent on the analytical teams and taking too much time. This increases the workload of these teams and slows down the other teams. Gen AI tools are getting better every day, and they are creating values in data analysis, visualization and communication. So, how exactly does Gen AI transform our data analysis and communication processes? 1)Democratization of Data with the Natural Language Processing Until recently, it was necessary to use tools like SQL, Python, PowerBI or Tableau to create an interactive dashboard. Today, with the help of Gen AI, users can prompt and get answers in their own language. For example, “show a graph of increase or decrease in our yearly sales”.  With this prompt a user can transform the data into a visual in a very short time. At the same time, it decreases the dependance of teams on a technical team. Business teams can reach data rapidly and take actions in a shorter time. This is important for time sensitive decisions like creating a campaign based on a new trend and identifying a decrease in sales. 2)Automated Data Storytelling Even a well-designed dashboard can’t always meet the needs. Managers or decision makers in a team don’t want to examine the dashboard for hours and ask their teams questions like “What is this dashboard telling us?” or “what should we do according to this dashboard?". However Gen AI tools can prepare executive summaries for the visualizations that they create. They can identify easily the anomalies which require hours of work for a human in seconds and create stories from complicated data. With this way, they are increasing the communication between technical and business teams. 3)Accelerated Prototyping and Optimum Design Selection For accurate and actionable data communication, it is essential to choose the right graphic type and color. A false selection or human errors can create misleading graphs. This situation can result in wrong decisions for a company. Gen AI can help us to overcome these challenges. It analyzes the size of data, content, patterns and prompt of the user and suggests the best visualization approach. This helps us to accelerate the design process. Teams can focus on the story instead of graphic settings which allows them to spare more time for making strategic decisions. In summary, AI tools are valuable partners in visualization, storytelling and communication processes. In the future, if LLM hallucinations are prevented, analysts and business teams can use AI and transform data into strategic communication tools.