An Accountant’s Detailed Guide to Databases, Integration, and Data Sharing

📋 Overview

This program provides financial professionals with a deeper look at how structured data, modern workflow tools, and real time information pipelines shape organizational performance today. As organizations accelerate their digital operations, teams are expected to move beyond static reporting and apply more advanced techniques to access, combine, and interpret data from multiple systems. This course reflects the evolving expectations of finance professionals in 2025–2026, emphasizing how database fundamentals, AI assisted workflows, and platform agnostic skills help teams streamline processes and deliver faster operational insight. Participants will learn how databases, Power Query, SQL, and AI supported transformation tools work together to support stronger decision making and consistent data sharing across applications. The session highlights how CPAs increasingly act as data stewards within their organizations—helping validate, structure, and operationalize data while driving more proactive analysis. Through practical demonstrations and cross platform examples, attendees see how to build more efficient data processes and design workflows that support real time visibility into business performance.

👥 Who Should Attend

Financial professionals that want to learn how to work with databases and data more effectively

🎯 Learning Objectives

• Discuss how professionals use databases and modern data tools across an organization
• Explain foundational database principles, including structure, keys, constraints, and system relationships
• Demonstrate how to connect to operational data using Power Query and common database tools
• List major categories of database and API technologies and identify their primary business use cases
• Discuss and demonstrate how an iPaaS workflow helps move data between applications in real time

📚 Major Topics

1. Tables, data models, and core workflow structures
2. Using SQL and Power Query to access operational data
3. Integration tools for data sharing and automation

🏷️ Topics