In recent years, the use of big data in machine learning and artificial intelligence (AI) has become increasingly popular. Big data refers to the vast amounts of data collected from various sources such as social media, the internet of things, and sensors. This data can be used to create powerful models that can predict outcomes and make decisions. AI is the application of these models to solve real-world problems. By combining big data and AI, businesses can gain insights that can help them make better decisions and drive better outcomes.

In a world where data is ubiquitous, data visualization has become a critical tool for understanding and communicating insights from big data. As the volume and complexity of data continue to grow, the ability to turn that data into compelling visual stories is becoming increasingly important. This article explores the power of data visualization and how it can be used to tell stories that inform, persuade, and inspire action. First, let us start with defining data storytelling and its components.

In the current era, where information is necessary to satisfy customer needs, data has become an invaluable resource for businesses regardless of size. With the emergence of big data, organizations can now collect, store, and analyze vast amounts of information in ways that were previously impossible. This has increased business opportunities and enabled them to make informed decisions, improve operations, and gain a competitive edge. Here are some ways companies leverage big data for business decisions.