Managing Data Integrity for Finance: Discover practical data quality management strategies for finance analysts and data professionals

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.

1144655508
Managing Data Integrity for Finance: Discover practical data quality management strategies for finance analysts and data professionals

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.

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Managing Data Integrity for Finance: Discover practical data quality management strategies for finance analysts and data professionals

Managing Data Integrity for Finance: Discover practical data quality management strategies for finance analysts and data professionals

by Jane Sarah Lat
Managing Data Integrity for Finance: Discover practical data quality management strategies for finance analysts and data professionals
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Managing Data Integrity for Finance: Discover practical data quality management strategies for finance analysts and data professionals

Managing Data Integrity for Finance: Discover practical data quality management strategies for finance analysts and data professionals

by Jane Sarah Lat

Overview

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.

Product Details

ISBN-13: 9781837636099
Publisher: Packt Publishing
Publication date: 01/31/2024
Sold by: Barnes & Noble
Format: eBook
Pages: 434
File size: 47 MB
Note: This product may take a few minutes to download.

About the Author

Jane Sarah Lat is a finance consultant with over 14 years of experience in financial management and analysis for multiple blue-chip multinational organizations. In addition to being a Certified Management Accountant (CMA U.S.) and having a Graduate Diploma in Chartered Accounting (GradDipCA), she also holds various technical certifications, including Microsoft Certified Data Analyst Associate and Advanced Proficiency in KNIME Analytics Platform. Over the past few years, she has been sharing her experience and expertise at international conferences to discuss practical strategies on finance, data analysis, and management accounting. She is also president of the Institute of Management Accountants (IMA) Australia and New Zealand chapter.

Table of Contents

Table of Contents
  1. Recognizing the Importance of Data Integrity in Finance
  2. Avoiding Common Data Integrity Issues and Challenges in Finance Teams
  3. Measuring the Impact of Data Integrity Issues
  4. Understanding the Data Integrity Management Capabilities of Business Intelligence Tools
  5. Using Business Intelligence Tools to Fix Data Integrity Issues
  6. Implementing Best Practices When Using Business Intelligence Tools
  7. Detecting Fraudulent Transactions Affecting Financial Report Integrity
  8. Using Database Locking Techniques for Financial Transaction Integrity
  9. Using Managed Ledger Databases for Finance Data Integrity
  10. Using Artificial Intelligence for Finance Data Quality Management
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