Chapter 2

Transaction Processing in the AIS

McGraw-Hill/Irwin Copyright © 2010 by The McGraw-Hill Companies, Inc. All rights reserved.

Outline

• Objectives

• Definition of accounting

• Accounting cycle

• Coding systems

• Role of human judgment and information technology

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Objectives

When you finish this chapter, you should be able to:

– Differentiate “accounting” and “bookkeeping”

– List, discuss and complete, in order, the steps in the accounting cycle

– Identify common internal controls associated with the accounting cycle

– Describe common chart of accounts coding systems

– Explain how human judgment and information technology impact the accounting cycle

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Definition of accounting

According to the American Accounting

Association, accounting is the process of identifying, measuring, and communicating economic information to permit informed judgments and decisions by users of the information.

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Definition of accounting

• Identifying

Not all business events lead to recordable transactions in the AIS

• Measuring

Accountants must follow

GAAP in deciding what dollar amounts to record for transactions

• Communicating

Financial accounting information is communicated primarily through the general purpose financial statements

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Accounting cycle

• The process of identifying and measuring economic events that leads to communication and decision making

• Ten steps explained on the slides that follow

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Accounting cycle

• Obtain information about external transactions from source documents.

– Check stubs

– Invoices

– Receipts

– Remittance advices

• Analyze transactions.

– Accounts affected?

– Increase or decrease?

– Account type?

– Debit or credit?

– Debits equal credits?

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Accounting cycle

• Record transactions in a journal.

– General journal is the most common

– Sometimes referred to as the “book of original entry”

– Transactions recorded chronologically

• Post transactions to ledger.

– Reorganizes information by account

– Often handled with information technology today

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Accounting cycle

• Prepare an unadjusted trial balance.

– Verifies the equality of debits and credits in the ledger

– Does not indicate an error-free AIS

• Record and post adjusting entries.

– Account for timing differences between cash and accrual

– Six types

• Accrued expenses & revenue

• Prepaid expenses & deferred revenue

• Bad debts & depreciation

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Accounting cycle

• Prepare an adjusted trial balance.

– Same purpose as unadjusted trial balance

– Only difference is in the timing

• Prepare financial statements.

– Income statement

– Statement of changes in equity

– Balance sheet

– Statement of cash flows

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Accounting cycle

• Close temporary accounts to retained earnings.

– Year-end only

– Also called “nominal” accounts

– Revenues, expenses, gains & losses

• Prepare post-closing trial balance.

– Same purpose as other trial balances

– Difference, once again, is timing

– Contains only balance sheet accounts

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Coding systems

• Used for the chart of accounts

• Importance

– efficiency of data capture, entry and analysis

– frequency of use and familiarity

– consistency and understanding of use

– saving on computer resources

– similar items can be related

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Classifying and Coding Data

• Types of coding

1. Sequential

2. Block

3. Significant digit

4. Hierarchical

5. Mnemonic

• Discussed in the following slides

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Sequential Coding

• Assigns numbers in chronological sequence

• Limited flexibility

– Additions can be made only at the end of a sequence

– Deletions result in unused numbers unless the numbers are recycled

– Codes tell nothing about the object’s attributes

• Examples include

– Student ID numbers

– “Wait” ticket at Post Office

• Example based on employee ID codes:

001 - 1st hired

002 - 2nd hired

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Block Coding

• Groups of numbers are dedicated to particular characteristics of the objects being identified

• Universal product code example:

73805 80248

Mfg Product

Code Code

• Employee ID code example:

001-100 fabrication department

101-200 assembly department

Within the department block, codes are assigned to individual employees

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Significant Digit Coding

• Assigns meanings to specific digits

• Significant digit coding works well for inventory items

• Also works well for employee ID codes

• The following slide shows examples using inventory and employee ID codes

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Significant Digit Coding

Example based on an Inventory item

16 2 17 4389

Product group

Part or subassembly

Warehouse Unique item identifier

Example based on employee ID codes

2 0 4 623

Work center

Exempt or nonexempt

Pay rate code

Unique employee identifier

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Hierarchical Data Coding

• Like significant digit codes, hierarchical codes also attach specific meaning to particular character positions

• Items are ordered in descending order where each successive rank order is a subset of the rank above it

• Reading from left to right in a hierarchical code, each digit is a subcategory of the digit to its left

• A 5 digit postal code is an example of hierarchical data coding

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Hierarchical Data Coding

Example based on Postal zip code

0

Section of country

18

Region within section

90

Locality (town within region)

Example based on employee ID codes

01

Company division

3

Plant

9

Department

623

Unique employer ID

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Mnemonic Data Coding

College course numbering:

AC340 - Accounting Information Systems

EN101 - English Composition

Example Based on Employee ID Codes:

F M C 623

Female Married Caucasian Unique employee ID

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OTHER CODING SCHEMES

• SELF-CHECKING DIGIT CODE-

– FOR EXAMPLE, 4362-3214-5

– WHERE, (4+3+6+2) = 15 MINUS (3+2+1+4)

=10 = 5 IS THE LAST DIGIT

• COLOUR CODING

– PINK COPY TO THE BILLING

DEPARTMENT

– WHITE COPY TO THE SALES

DEPARTMENT

– YELLOW COPY TO THE CUSTOMER

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Decision Support Systems: DSS

• Information systems that assist managers with unstructured decisions by retrieving data and generating information

• Possesses interactive capabilities

• Can answer ad-hoc inquires

• Provide data modeling facilities such as spreadsheets

• Supports non-recurring, relatively unstructured decision making

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Executive Information System: EIS

• Information systems often considered a subset of DSS, that combine information from the organization and the environment

• Organize and analyze the information

• In a form suitable for managers to make decisions

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Group Support Systems: GSS

• Computer based systems that support collaborative intellectual work such as

– Idea generation

– Elaboration

– Analysis

– Synthesis

– Decision making

• GSS use technology to solve the time and place dimension problems associated with group work

• Also known as GDSS or Group Decision Support

Systems

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Expert Systems: ES

• An information system that emulates the problem solving techniques of human experts

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Knowledge engineer

Knowledge base

Inference engine

User interface

(includes explanation facility)

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Expert Systems

Knowledge acquisition facility

User

Human expert

Human expert - possesses relevant knowledge

Knowledge engineer - has skill to extract knowledge and encode in knowledge base

Knowledge base - contains relevant expertise, in the form of rules

Inference engine - executes line of reasoning based on facts and rules

User interface - provides for user input to system and displays output. Contains explanation facility to let user ask Why?

How? etc.

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FILE MANAGEMENT

• FILE MANAGEMENT COMPRISES THE

FUNCTIONS THAT COLLECT,

ORGANIZE, STORE, RETRIEVE, AND

MANIPULATE DATA MAINTAINED IN

TRADITIONAL DATA FILE-ORIENTED

ENVIRONMENTS

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HIERARCHY OF DATA

 CHARACTER IS A BASIC UNIT OF DATA SUCH AS

LETTER, NUMBER, OR SPECIAL CHARACTER

 FIELD IS A COLLECTION OF RELATED

CHARACTERS, SUCH AS A CUSTOMER NAME OR

CUSTOMER NUMBER

 RECORD IS A COLLECTION OF RELATED DATA

FIELDS PERTAINING TO A PARTICULAR ENTITY

(PERSON, PLACE, OR THING, SUCH AS A

CUSTOMER RECORD)

 FILE IS A COLLECTION OF RELATED RECORDS,

SUCH AS A CUSTOMER FILE OR SALES BUSINESS

EVENT DATA FILE

 RECORD LAYOUT DEPICTS THE FIELDS

COMPRISING A RECORD

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DATA WAREHOUSING

DATA WAREHOUSING IS THE USE OF

INFORMATION SYSTEM FACILITIES TO FOCUS ON

THE COLLECTION , ORGANIZATION, INTEGRATION,

AND LONG-TERM STORAGE OF ENTITY-WIDE

DATA.

• PROVIDES USERS WITH EASY ACCESS TO LARGE

QUANTITIES OF VARIED DATA FROM ACROSS THE

ORGANIZATION  LEADS TO ENHANCED DECISION-

MAKING CAPABILITIES

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DATA MINING

DATA MINING IS THE ABILITY TO EXPLORE,

AGGREGATE, AND ANALYZE LARGE QUANTITIES

OF VARIED DATA FROM ACROSS THE

ORGANIZATION

• COMPLEMENTARY TO DATA WAREHOUSING

• BETTER UNDERSTANDING OF ORGANIZATION’S

– BUSINESS PROCESSES

– TRENDS

– POTENTIAL OPPORTUNITIES TO IMPROVE THE

EFFICIENCY OF THE ORGANIZATION

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INTELLIGENT AGENT

 A SOFTWARE COMPONENT

INTEGRATED INTO A DSS OR OTHER

SOFTWARE TOOL (E.G., WORD, EXCEL)

THAT PROVIDES AUTOMATED

ASSISTANCE AND/OR ADVICE ON THE

USE OF THE SOFTWARE.

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KNOWLEDGE MANAGEMENT

 PROCESS OF CAPTURING, STORING,

RETRIEVING, AND DISTRIBUTING

THE KNOWLEDGE OF THE

INDIVIDUALS IN AN ORGANIZATION

FOR USE BY OTHERS TO IMPROVE

THE QUALITY AND / OR EFFICIENCY

OF DECISION MAKING.

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Neural Networks

 Computer-based systems of hardware and software.

 Mimic human brain’s ability to recognize patterns, predict outcomes with incomplete information.

 Derive knowledge from data; must be

“trained”.

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Role of human judgment and information technology

• Human judgment

– Design source documents

– Recognize recordable transactions

– Estimate amounts

– Interpret accounting rules

• Information technology

– Posting journal entries

– Closing the accounts

– Preparing trial balances

– Producing financial statements

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