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Analytics and Big Data for Accountants, 2nd Edition

Name: Analytics and Big Data for Accountants, 2nd Edition
Author: Jim Lindell
ISBN: 9781119784623

by Jim Lindell

December 2020

Beginner to intermediate

224 pages

5h 22m

English

Wiley

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Cover
Title Page
Copyright
Overview
Welcome to analytics and big data for accountantsIntroductory commentsTopics discussedThe chapters in this courseOpening discussionExerciseExample
Chapter 1: What Are Big Data and Analytics?
Learning objectivesIntroductionDefinition — What is big data?How big is “big”? Volume levels in big dataKnowledge checkExamples of volumeMegabytes, gigabytes, terabytes ... what are they?Knowledge checkThe accountant and big dataThe pressure is on for finance and accounting professionals to deliver more insights.Accounting’s big data problemBig Data terminologyFour types of data analyticsBenefits of big dataKnowledge checkPractice questionsNotes
Chapter 2: Big Data History — Big Data Sources and Characteristics
Learning objectivesIntroductionThe accountant’s perspective — Big data = spreadsheetsBig data from the accountant’s perspectiveKnowledge checkHistoryKnowledge checkKnowledge checkExamine big data through the eyes of a small businessBig data sourcesSources of big dataCharacteristics of big dataKnowledge checkExample: Retail surveyPractice questionsNotes
Chapter 3: What Are the Trends in Big Data?
Learning objectivesIntroductionTop big data and analytics trends for 2020Big Data surveyAccenture trends and surveysThe “Hype Curve”NewVantage Partners 2020 annual big data Executive SurveyKnowledge checkPractice questionNotes
Chapter 4: What Are the Strategy and Business Applications of Big Data?
Learning objectivesIntroductionKnowledge checkGoals of big dataBusiness insights associated with big dataKnowledge checkStrategic implications of big data — ChallengesKnowledge checkDangers of wrong dataFive IT big data mistakesKnowledge checkPractice questionsNotes
Chapter 5: Big Data Platforms and Operating Tools
Learning objectivesIntroductionBig data capabilitiesKnowledge checkWhat platforms can be used for big data?Knowledge checkKnowledge checkTop data analysis tools for businessKnowledge checkHadoop — what is it all about?Knowledge checkHadoop core componentsKnowledge checkPractice questionsNotes
Chapter 6: Big Data End User and Accounting Tools
Learning objectivesIntroductionActual example of big dataExample of accessing actual corporate data — Best BuyKnowledge checksOptimizationCruise line uses big data to optimize pricesKnowledge checkPredictive toolsKnowledge checkEnterprise predictive analytic tools — 2019Other simple tools to access big data sourcesKnowledge checkDatabase toolsKnowledge checkBig data visualizationPractice questionsNotes

Chapter 7: Examples of Big Data
Learning objectivesIntroductionExamples of big dataKnowledge checkKnowledge checkKnowledge checkKnowledge checkKnowledge checkKnowledge checkKnowledge checkKnowledge checkPractice questionsNotes
Chapter 8: Big Data in the Accounting Department
Learning objectivesIntroductionBig data for the CFOKnowledge checkBig data areas of focusAccounts receivableKnowledge checkKnowledge checkKnowledge checkPredictive analytics and accountingAnalytical programs at the SECPractice questionsNotes
Chapter 9: Ethics and Privacy With Big Data
Learning objectivesIntroductionEthical questionsKnowledge checkEthical implicationsExamples of big data ethical lapsesKnowledge checkGoogle Maps location history is recordingKnowledge checkKnowledge checkKnowledge checkPractice questionsNotes
Index
Solutions
Notes
End User License Agreement

Content preview from Analytics and Big Data for Accountants, 2nd Edition

Index

B
Big Data Ethical Lapses 9-3
Big Data example 6-2, 7-1, 7-10

C
Characteristics of Big Data 2-18, 2-19
Cloud computing 1-9, 2-5, 2-8, 5-14

D
Data analysis 5-4, 5-17, 6-1, 8-5, 8-6, 8-7, 8-8, 8-9
Database tools 6-24
Descriptive analytics 1-12
Diagnostic analysis 1-12
Dimensions of Big Data 2-18

E
Ethical Implications 9-2
Ethical questions 9-2

H
Hadoop 1-10, 1-16, 2-8, 2-9, 4-2, 4-9, 5-1, 5-7, 5-8, 5-13, 5-14, 5-15, 5-16, 5-17, 5-35, 5-36, 5-37, 5-38, 7-11, 7-12, 7-14

I
Internet of Things 2-8, 2-9, 2-11, 2-17, 5-15

N
Net Promoter Score 1-13, 6-16

P
Platforms 5-1, 5-6, 7-16
Predictive Analytic Tools 6-17
Predictive analytics 1-10, 1-11, 1-12, 5-4, 5-14, 5-34, 6-17, 8-10, 8-11
Prescriptive analytics 1-11, 1-13

T
Text analytics 6-25
Trends in Big Data 3-1

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Analytics and Big Data for Accountants, 2nd Edition

by Jim Lindell

Index

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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