Managing Data Integrity for Finance
Discover practical data quality management strategies for finance analysts and data professionals
Created by Jane Sarah Lat
Explore practical strategies for ensuring data integrity and quality in finance. Learn to use proven frameworks, tools, and techniques to address common data challenges in financial projects. Gain hands-on experience with solutions that help maintain reliable and accurate financial data.
Packt | Jan 2024 | 434 min
What You Will Learn
You will start by understanding the core concepts of data integrity in finance. Step by step, you will work with real-world tools and platforms to identify and fix data quality issues. As you progress, you will explore advanced solutions like cloud-based ledgers, database locks, and AI-powered methods to strengthen data integrity in financial systems.
Key Features
- Build a financial data quality scorecard to monitor and improve data accuracy
- Apply business intelligence tools and cloud-based ledgers to resolve integrity issues
- Detect and prevent fraudulent transactions to protect financial reporting
Target Audience
Ideal for financial analysts, data professionals, and technical leaders with a basic grasp of finance and data analysis. If you want to confidently manage and improve the quality of financial data, and are looking to apply practical strategies and tools in your work, this is designed for you.
