Unlocking the Power of What-If Analysis for BI, Data, and AI with Taipy

Key insights 🔊 Unlocking the power of what-if analysis with Taipy’s interactive dashboards can revolutionize data analysis and decision-making processes. 👥 Users play an important role in the development process, as what is built should prioritize their needs and lead the features being released. 🔊 The dynamic filters in the dashboard allow for an infinite number of use cases and comparisons, providing users with the ability to dig into data and compare customer performances in a more ergonomic way. 🤔 The concept of what-if analysis and scenarios is related to understanding and exploring the potential outcomes and insights that can be derived from changing input parameters. 💡 What interests me is that what-if analysis is a structured approach to exploring data sets, allowing decision makers to gain insights and make impactful decisions. 💡 Stacking multiple scenarios on one plot in what-if analysis allows for more visual comparisons and a better understanding of the data, eliminating the need to switch between tabs and work with different scales. 🔊 The key idea of Taipy is that it is in a sweet spot, providing a lot of features with a low learning curve compared to other popular libraries like plotly or streamlits. 💡 Implementing multiple scenarios on one plot using Taipy’s Native scenarios feature allows for more user-centric and flexible analysis, making it a favorite feature for users. PUBLICATION PERMISSIONS: Original video was published with the Creative Commons Attribution license (reuse allowed). Link: