Samenvatting Accounting Information Systems, Data-Driven Control (EBM154B05)
55 views 7 purchases
Course
Data-Driven Control (EBM154B05)
Institution
Rijksuniversiteit Groningen (RuG)
Book
Accounting Information Systems, Global Edition
Summary of the book Accounting Information Systems for the course Data-Driven Control given at the University of Groningen in the academic year . It is a summary of the 15th edition of the book. The paragraphs requested during the exam have been inserted into the document.
Summary Accounting Information Systems, Global Edition - Internal Control (EBB048A05)
Test Bank For Accounting Information Systems, 15th Edition by Romney, Steinbart, Summers, Wood all chapters.
Test Bank For Accounting Information Systems, 15th Edition by Romney, Steinbart, Summers, Wood all chapters || Complete Solution.
All for this textbook (48)
Written for
Rijksuniversiteit Groningen (RuG)
Accountancy and Controlling
Data-Driven Control (EBM154B05)
All documents for this subject (3)
Seller
Follow
esthervandijkk
Reviews received
Content preview
Samenvatting
Vak: Data-Driven Control
Universiteit: Rijksuniversiteit Groningen
Jaar: 2022-2023
Boek: Accounting Information Systems, Global Edition
Druk: 15th edition
Auteurs: Romney, Steinbart, Summers and Wood
1
,Inhoudsopgave
Chapter 1 – Accounting Information Systems: An Overview............................................................................4
1.1 Introduction.....................................................................................................................................................4
1.2 Information Needs and Business Processes....................................................................................................5
1.2.1 Information Needs...................................................................................................................................5
1.2.2 Business Processes...................................................................................................................................5
1.3 Accounting Information Systems....................................................................................................................6
1.3.1 How an AIS can Add Value to an Organization........................................................................................6
1.3.2 An AIS Can Use Artificial Intelligence and Data Analytics to Improve Decision Making..........................6
1.3.3 The AIS and Blockchain............................................................................................................................7
1.3.4 Cloud Computing, Virtualization, and the Internet of Things..................................................................9
1.3.5 The AIS and Corporate Strategy...............................................................................................................9
1.3.6 The role of the AIS in the Value Chain......................................................................................................9
Chapter 2 – Overview of Transaction Processing and Enterprise Resource Planning Systems.........................10
2.1 Introduction...................................................................................................................................................10
2.2 Transaction Processing: The Data Processing Cycle.....................................................................................10
2.2.1 Data Input...............................................................................................................................................10
2.2.2 Data Storage...........................................................................................................................................10
2.2.3 Data Processing......................................................................................................................................12
2.2.4 Information Output................................................................................................................................12
2.3 Transaction Processing: Blockchain..............................................................................................................12
2.4 Enterprise Resource Planning (ERP) Systems................................................................................................13
Chapter 4 – Relational Databases................................................................................................................. 14
4.1 Introduction...................................................................................................................................................14
4.2 Databases and Files......................................................................................................................................14
4.2.1 Using Data Warehouses for Data Analytics............................................................................................14
4.2.2 The Advantages of Database Systems...................................................................................................15
4.2.3 The Importance of Good Data................................................................................................................15
4.3 Database Systems.........................................................................................................................................15
4.3.1 Logical and Physical Views of Data.........................................................................................................15
4.3.2 Schemas..................................................................................................................................................15
4.3.3 The Data Dictionary................................................................................................................................16
4.3.3 DBMS Languages....................................................................................................................................16
4.4 Relational Databases....................................................................................................................................16
4.4.1 Types of Attributes.................................................................................................................................16
4.4.2 Designing a Relational Database for S&S, Inc........................................................................................17
4.4.3 Basic Requirements of a Relational Database........................................................................................17
4.4.4 Two Approaches to Database Design.....................................................................................................18
4.4.5 Creating Relational Database Queries...................................................................................................18
4.4.6 Database Systems and the Future of Accounting..................................................................................18
Chapter 5 – Introduction to Data Analytics in Accounting.............................................................................19
5.1 Introduction...................................................................................................................................................19
5.2 Ask the Right Questions................................................................................................................................19
5.3 Extract, Transform, and Load Relevant Data................................................................................................20
5.3.1 Extracting Data.......................................................................................................................................20
5.3.2 Transforming Data..................................................................................................................................21
2
, 5.3.3 Loading Data...........................................................................................................................................21
5.4 Apply Appropriate Data Analytic Techniques...............................................................................................22
5.5 Interpret and Share the Results with Stakeholders.......................................................................................22
5.5.1 Interpreting Results................................................................................................................................22
5.5.2 Sharing Results.......................................................................................................................................22
5.6 Additional Data Analytics Considerations.....................................................................................................23
5.6.1 Automation............................................................................................................................................23
5.6.2 Data Analytics is Not Always the Right Tool...........................................................................................23
Chapter 6 – Transforming Data..................................................................................................................... 24
6.1 Introduction...................................................................................................................................................24
6.1.1 Attributes of High-Quality Data..............................................................................................................24
6.2 Data Structuring............................................................................................................................................24
6.2.1 Aggregate Data.......................................................................................................................................24
6.2.2 Data Joining............................................................................................................................................24
6.2.3 Data Pivoting..........................................................................................................................................24
6.3 Data Standardization....................................................................................................................................24
6.3.1 Data Parsing and Data Concatenation...................................................................................................25
6.3.2 Cryptic Data Values................................................................................................................................25
6.3.3 Misfielded Data Values...........................................................................................................................25
6.3.4 Data Formatting and Data Consistency..................................................................................................25
6.4 Data Cleaning................................................................................................................................................25
6.4.1 Data De-Duplication...............................................................................................................................25
6.4.2 Data Filtering..........................................................................................................................................25
6.4.3 Data Contradiction Errors......................................................................................................................26
6.4.4 Data Threshold Violations......................................................................................................................26
6.4.5 Violated Attribute Dependencies...........................................................................................................26
6.4.6 Data Entry Errors....................................................................................................................................26
6.5 Data Validation.............................................................................................................................................26
6.5.1 Visual Inspection....................................................................................................................................26
6.5.2 Basic Statistical Tests..............................................................................................................................26
6.5.3 Audit a Sample.......................................................................................................................................26
6.5.4 Advanced Testing Techniques................................................................................................................27
Chapter 7 – Data Analysis and Presentation.................................................................................................27
7.1 Introduction...................................................................................................................................................27
7.2 Data Analysis.................................................................................................................................................27
7.2.1 Descriptive Analytics..............................................................................................................................27
7.2.2 Diagnostic Analytics................................................................................................................................28
7.2.3 Predictive Analytics................................................................................................................................28
7.2.4 Prescriptive Analytics.............................................................................................................................29
7.2.5 Common Problems with Data Analytics.................................................................................................29
7.3 Data Presentation.........................................................................................................................................29
7.3.1 Choosing the Right Visualization............................................................................................................30
7.3.2 Designing High-Quality Visualizations....................................................................................................30
Chapter 18 – General Ledger and Reporting System.....................................................................................32
18.1 Introduction.................................................................................................................................................32
18.2 General Ledger and Reporting System........................................................................................................33
18.2.1 Process.................................................................................................................................................33
18.2.2 Threats and Controls............................................................................................................................33
3
, 18.3 Update General Ledger...............................................................................................................................33
18.3.1 Process.................................................................................................................................................33
18.3.2 Threats and Controls............................................................................................................................33
18.4 Post Adjusting Entries.................................................................................................................................34
18.4.1 Process.................................................................................................................................................34
18.4.2 Threats and controls............................................................................................................................35
18.5 Prepare financial Statements......................................................................................................................35
18.5.1 Process.................................................................................................................................................35
18.5.2 Threats and Controls............................................................................................................................36
18.6 Produce Managerial Reports......................................................................................................................36
18.6.1 Process.................................................................................................................................................36
18.6.2 Threats and Controls............................................................................................................................36
Chapter 1 – Accounting Information Systems: An Overview
1.1 Introduction
A system = Detailed methods, procedures, and routines that carry out activities, perform a duty, achieve goals
or objectives, or solve problems. A system is composed of smaller subsystems which are designed to achieve
one or more organizational goals. Changes in subsystems cannot be made without considering the effect on the
4
The benefits of buying summaries with Stuvia:
Guaranteed quality through customer reviews
Stuvia customers have reviewed more than 700,000 summaries. This how you know that you are buying the best documents.
Quick and easy check-out
You can quickly pay through credit card or Stuvia-credit for the summaries. There is no membership needed.
Focus on what matters
Your fellow students write the study notes themselves, which is why the documents are always reliable and up-to-date. This ensures you quickly get to the core!
Frequently asked questions
What do I get when I buy this document?
You get a PDF, available immediately after your purchase. The purchased document is accessible anytime, anywhere and indefinitely through your profile.
Satisfaction guarantee: how does it work?
Our satisfaction guarantee ensures that you always find a study document that suits you well. You fill out a form, and our customer service team takes care of the rest.
Who am I buying these notes from?
Stuvia is a marketplace, so you are not buying this document from us, but from seller esthervandijkk. Stuvia facilitates payment to the seller.
Will I be stuck with a subscription?
No, you only buy these notes for $8.26. You're not tied to anything after your purchase.
