Book Image

Managing Data Integrity for Finance

By : Jane Sarah Lat
Book Image

Managing Data Integrity for Finance

By: Jane Sarah Lat

Overview of this book

Data integrity management plays a critical role in the success and effectiveness of organizations trying to use financial and operational data to make business decisions. Unfortunately, there is a big gap between the analysis and management of finance data along with the proper implementation of complex data systems across various organizations. The first part of this book covers the important concepts for data quality and data integrity relevant to finance, data, and tech professionals. The second part then focuses on having you use several data tools and platforms to manage and resolve data integrity issues on financial data. The last part of this the book covers intermediate and advanced solutions, including managed cloud-based ledger databases, database locks, and artificial intelligence, to manage the integrity of financial data in systems and databases. After finishing this hands-on book, you will be able to solve various data integrity issues experienced by organizations globally.
Table of Contents (16 chapters)
1
Part 1: Foundational Concepts for Data Quality and Data Integrity for Finance
5
Part 2: Pragmatic Solutions to Manage Financial Data Quality and Data Integrity
10
Part 3: Modern Strategies to Manage the Data Integrity of Finance Systems

Applications of AI in finance

The scope of AI for finance is expanding rapidly, thus enabling the automation of processes, assisting professionals in becoming more efficient at their jobs, as well as creating potential solutions to solve problems. That being said, here are some of the applications in finance in general:

  • Outlier detection: AI helps in understanding the normal transactions to identify any anomalies.
  • Credit scoring: ML models can process large datasets and use the patterns learned to predict creditworthiness and the ability to repay loans more accurately.
  • Report generation: With AI, you can automate the creation of reports and contracts. One particular example is Alteryx AiDIN, which can be used to generate magic documents and help you create your first draft automatically so that it can be sent to key business partners.
  • Missing data identification: As AI processes data efficiently, it can find missing and incomplete data in your datasets. This is...