Data
Reader small image

You're reading from  Managing Data Integrity for Finance

Product typeBook
Published inJan 2024
PublisherPackt
ISBN-139781837630141
Edition1st Edition
Concepts
Data Engineering
Right arrow
Author (1)
Jane Sarah Lat
Jane Sarah Lat
author image
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

Right arrow

Summary

In this chapter, we started with a quick discussion on how BI tools could help finance professionals and organizations in today’s data-driven landscape. We then focused on several data integrity management capabilities of these tools, including relevant features such as data profiling, data cleansing, data validation, data lineage, and data governance. After that, we introduced some of the most popular BI tools used globally—including Microsoft Power BI, Alteryx, and Tableau.

With what we have covered in this chapter, you have learned about why BI tools are helpful for professionals as well as the capabilities and features these tools have to enhance and improve the integrity of the data. In the next chapter, we will continue our discussion on BI tools! We will build on top of what we learned here in this chapter, and dive deeper into how to use various BI tools to solve common data integrity issues for finance.

lock icon
The rest of the page is locked
Previous Page
Chapter 7 of 16, Page 6
Next Page
You have been reading a chapter from
Managing Data Integrity for Finance
Published in: Jan 2024Publisher: PacktISBN-13: 9781837630141
© 2024 Packt Publishing Limited All Rights Reserved

Author (1)

author image
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

Personalised recommendations for you

Based on your interests and search pattern

Et al.

Et al.

Ever wonder why speech recognition systems don't understand the Scottish accent, or what would happen if an astronaut only ate mac 'n' cheese, or other spurious reflections you'd have at a bar? We did, then collated those deliberations into absurd research articles with fake figures and methodologies inspired by even more fictionally absurd studies.

BookAug 2023230 pages5
Generative AI with LangChain

Generative AI with LangChain

This book is a comprehensive introduction to LLMs and LangChain, demystifying the basic mechanics of LangChain, its functionalities, and the myriad of applications it can be integrated into.

BookDec 2023360 pages4
Generative AI with LangChain

Generative AI with LangChain

This book is a comprehensive introduction to LLMs and LangChain, demystifying the basic mechanics of LangChain, its functionalities, and the myriad of applications it can be integrated into.

BookDec 2023360 pages5
Generative AI with LangChain

Generative AI with LangChain

This book is a comprehensive introduction to LLMs and LangChain, demystifying the basic mechanics of LangChain, its functionalities, and the myriad of applications it can be integrated into.

BookDec 2023360 pages1
Generative AI with LangChain

Generative AI with LangChain

This book is a comprehensive introduction to LLMs and LangChain, demystifying the basic mechanics of LangChain, its functionalities, and the myriad of applications it can be integrated into.

BookDec 2023360 pages5
Mastering Tableau 2023

Mastering Tableau 2023

This book is a comprehensive resource to mastering your Tableau skills and becoming a BI expert. As you progress, you will learn how to build advanced dashboards and improve your storytelling to derive key business insight, as well as make you well-versed with advanced functionalities of Tableau in the business intelligence domain.

BookAug 2023684 pages
Building AI Applications with ChatGPT APIs

Building AI Applications with ChatGPT APIs

This guide covers all ChatGPT API features for effortless creation of robust AI powered apps. With its help, you’ll be able to leverage ChatGPT’s cutting-edge NLP models to take your app development skills to the next level. You’ll also work on ten exciting projects that will give you the practical know-how that you can apply to your existing applications.

BookSep 2023258 pages5
Building AI Applications with ChatGPT APIs

Building AI Applications with ChatGPT APIs

This guide covers all ChatGPT API features for effortless creation of robust AI powered apps. With its help, you’ll be able to leverage ChatGPT’s cutting-edge NLP models to take your app development skills to the next level. You’ll also work on ten exciting projects that will give you the practical know-how that you can apply to your existing applications.

BookSep 2023258 pages2
Data Engineering with AWS

Data Engineering with AWS

Embark on a journey to master data engineering pipelines on AWS! Our book offers a hands-on experience of AWS services for ingesting, transforming, and consuming data. Whether you're an absolute beginner or someone with basic data engineering experience, this guide is an indispensable resource.

BookOct 2023636 pages5
Modern Data Architecture on AWS

Modern Data Architecture on AWS

Every organization wants an agile, performant, and cost-effective data platform that meets all their current and future business needs. Purpose-built AWS analytics services and their features play a big part in building such a modern data platform. This book brings to you all the design and architectural patterns that’ll help you achieve this goal.

BookAug 2023420 pages5
Practical Guide to Applied Conformal Prediction in Python

Practical Guide to Applied Conformal Prediction in Python

Discover the power of Conformal Prediction with the "Practical Guide to Applied Conformal Prediction in Python." Master the latest techniques to quantify uncertainty in machine learning and computer vision models, and seamlessly apply them to your industry applications.

BookDec 2023240 pages
TinyML Cookbook

TinyML Cookbook

With over 70 project-based recipes, the TinyML Cookbook is a practical guide that will help you to get the most out of your microcontrollers. It provides a comprehensive understanding of the theoretical foundations while giving you hands-on experience training ML models for deployment on Arduino Nano 33 BLE Sense, Raspberry Pi Pico, and SparkFun RedBoard Artemis Nano microcontrollers.

BookNov 2023664 pages