You're reading from Managing Data Integrity for Finance

Product typeBook

Published inJan 2024

PublisherPackt

ISBN-139781837630141

Edition1st Edition

Concepts

Data Engineering

Author (1)

Jane Sarah Lat

Technical requirements

This chapter builds on concepts introduced in Chapter 1, Recognizing the Importance of Data Integrity in Finance, under the A quick tour of concepts relevant to data integrity management section. You may revisit this part to better appreciate our discussion in this chapter.

At the same time, we will be using datasets from a fictional company for our hands-on exercise using Microsoft Excel. If you do not have Microsoft Excel, you may use Google Sheets, which is free with a Google account, instead. Our sample datasets are saved in the Packt GitHub repository, which can be accessed at https://github.com/PacktPublishing/Managing-Data-Integrity-for-Finance/tree/main/ch07. Save the file on your computer, as we will use it in the Interpreting financial reports section of this chapter. You may proceed once these are ready.

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Managing Data Integrity for Finance

Published in: Jan 2024Publisher: PacktISBN-13: 9781837630141

Author (1)

Jane Sarah Lat

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.
Read more about Jane Sarah Lat

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