What is Data Storytelling

Data storytelling is a technique used in data analysis and communication to convey insights, trends, and information from data in a compelling and easily understandable way. 

It combines the power of data with the art of storytelling to engage, inform, and persuade an audience. 

The goal of data storytelling is to make complex data more accessible and meaningful to a wider range of people, including non-technical stakeholders.

Key components of data storytelling

Banking Industry 

Banks and financial institutions use data storytelling in various ways to communicate financial information, trends, and insights to their customers, stakeholders, and employees. Here are some real-life examples of data storytelling in the banking sector:


Morgan Stanley, as a global financial services firm, uses data storytelling to communicate with its clients, investors, and the public. While specific data storytelling examples may not be as readily available to the public as those from media outlets, here are some ways Morgan Stanley and similar financial institutions engage in data storytelling:

While specific Morgan Stanley reports and presentations may not be publicly available due to their client-focused nature, the examples above illustrate how financial institutions use data storytelling to communicate financial information, market insights, and investment strategies to their clients and stakeholders. These data-driven narratives are essential for helping clients make informed financial decisions.

These real-life examples demonstrate how banks leverage data storytelling to enhance customer engagement, provide financial education, inform decision-making, and maintain transparency in their operations. Data storytelling is a valuable tool for banks to communicate complex financial information in an accessible and meaningful way.