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

Detecting anomalies in financial transaction data

In this example, we will work on the datasets we used in the Dealing with large financial datasets using data validation section in Chapter 5, Using Business Intelligence Tools to Fix Data Integrity Issues. We will test whether we can validate the data against another table containing the correct values. The steps are as follows:

  1. Create a new chat using the Data Analysis GPT, as illustrated in Figure 10.7:
    Figure 10.7 – Using the Data Analysis GPT

    Figure 10.7 – Using the Data Analysis GPT

    To access the Data Analysis GPT, click on Explore in the sidebar and select Data Analysis from the list of GPTs available. If you can’t see the GPTs, feel free to use the following link to access this: https://chat.openai.com/g/g-HMNcP6w7d-data-analysis.

Note

You may also search for chatgpt data analysis gpt via Google Search; you should find the GPT in the list of results. Alternatively, you may use GPT-4 as it has the Advanced...