In this talk we’ll discuss patterns and anti-patterns from real-world projects including: how to split your application into components, using components in data & analytics for agility, enabling users to configure and “no-code” their own applications, and how components help to sequence a modernization program.

• Transaction History and Recommendations
• Items for Compliance and Shareable Elements
• What If' Portfolio Analysis
• Asset Correlations and Visualizations for Recommendation

• An In-Depth Look into the Performance Recommendation Widget
• What If' Scenario Building
• Sharing Interactions with Jupyter Notebook
• Running and Editing Scenarios in Jupyter Notebook

The focus of this webinar is to share some of the important design and technology factors that enable you to build successful front- and middle-office applications.