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Key benefits

Accelerate data integrity management using artificial intelligence-powered solutions

Learn how business intelligence tools, ledger databases, and database locks solve data integrity issues

Find out how to detect fraudulent transactions affecting financial report integrity

Description

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.

Who is this book for?

This book is for financial analysts, technical leaders, and data professionals interested in learning practical strategies for managing data integrity and data quality using relevant frameworks and tools. A basic understanding of finance concepts, accounting, and data analysis is expected. Knowledge of finance management is not a prerequisite, but it’ll help you grasp the more advanced topics covered in this book.

What you will learn

Develop a customized financial data quality scorecard

Utilize business intelligence tools to detect, manage, and resolve data integrity issues

Find out how to use managed cloud-based ledger databases for financial data integrity

Apply database locking techniques to prevent transaction integrity issues involving finance data

Discover the methods to detect fraudulent transactions affecting financial report integrity

Use artificial intelligence-powered solutions to resolve various data integrity issues and challenges

What do you get with Print?

Instant access to your digital copy whilst your Print order is Shipped

Colour book shipped to your preferred address

Redeem a companion digital copy on all Print orders

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

AI Assistant (beta) to help accelerate your learning

Frequently bought together

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Shipping Details

USA:

Economy: Delivery to most addresses in the US within 10-15 business days

Premium: Trackable Delivery to most addresses in the US within 3-8 business days

UK:

Economy: Delivery to most addresses in the U.K. within 7-9 business days.
Shipments are not trackable

Premium: Trackable delivery to most addresses in the U.K. within 3-4 business days!
Add one extra business day for deliveries to Northern Ireland and Scottish Highlands and islands

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Premium: Trackable delivery to most EU destinations within 4-9 business days.

Australia:

India:

Premium: Delivery to most Indian addresses within 5-6 business days

Rest of the World:

Premium: Countries in the American continent: Trackable delivery to most countries within 4-7 business days

Asia:

Premium: Delivery to most Asian addresses within 5-9 business days

Unfortunately, due to several restrictions, we are unable to ship to the following countries:

Afghanistan
American Samoa
Belarus
Brunei Darussalam
Central African Republic
The Democratic Republic of Congo
Eritrea
Guinea-bissau
Iran
Lebanon
Libiya Arab Jamahriya
Somalia
Sudan
Russian Federation
Syrian Arab Republic
Ukraine
Venezuela

Amazon Customer Feb 08, 2024

This book dives deep into various concepts and topics for ensuring the data integrity of financial data. In addition to this, the book features a LOT of examples, solutions, and use cases relevant to data quality and data integrity management.Definitely a must read book for finance, data, and tech professionals!

Amazon Verified review

Dennis David Mar 20, 2024

I was in the first chapter of the book, and I know this will be helpful for finance professionals working in the financial data analysis field. This book offers a comprehensive approach to ensuring data quality and provides practical strategies for maintaining and enhancing data integrity crucial to financial data management. This ensures accurate reporting and prevents unnecessary waste of financial resources. The book starts with a comprehensive knowledge of finance terms and presents real-world examples. Although I work in a similar field where data integrity is crucial to patient care and insurance claims, I learned a great deal of information that I enjoyed learning. As a technical person, I also liked how the Python and SQL code examples are clean and straight to the point.If you would like to have an arsenal of resources that you can reference when you need it, especially if you work in finance data analysis, this book is a must-have.

Bill S Mar 26, 2024

I was given the opportunity to peruse a copy of this book and WOW - it is jam-packed full of good advice and best practices, and TONS of specific how-to's for doing the work.Given my area of expertise, I zoomed in on the 3 chapters focused on using business intelligence tools to do the job, which are very thorough showing how to use Power BI, Tableau, and Alteryx to accomplish specific tasks. This is a really great resource. And it's chock full of screenshots and specific how-to's to get these tools to do what you need.I haven't read the rest of the book yet, but based on the table of contents and some quick scanning, it seems to be a very complete and clear source of information that will be useful to anyone in finance doing this work.

H2N Apr 01, 2024

This is a good guide for finance, data, and technical professionals seeking to manage financial data integrity effectively.The book gives introduces understanding and implementing strategies for maintaining data reliability and compliance, addressing the global gap in financial data analysis and management with topics from data integrity issues to the use of business intelligence tools and artificial intelligence for data quality management.

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

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