Data Analytics for Managers

Faculty
Commerce & Business Administration
Department
Accounting
Course Code
ACCT 3880
Credits
3.00
Semester Length
15 Weeks X 4 Hours per week = 60 Hours
Max Class Size
35
Method Of Instruction
Lecture
Online
Hybrid
Typically Offered
To be determined
Campus
Online

Overview

Course Description
From financial statements to operating performance, the environment we are living in is “data rich, information poor.” With the decision making pressure on accountants and managers, it is crucial to gather available data quickly and provide accurate analysis. In this course the student will learn to analyze financial statements using lesser known techniques, and to address the differences among reports generated under different accounting frameworks. Students will learn to use data analytics, identify the control weaknesses and identify patterns in the transactions that point to fraud and error will be studied. Finally, the student will learn how to analyze both financial and operational data by designing financial models and dashboards, making reasonable financial forecasts, and monitoring operational performance. In this course students will use CaseWare IDEA software and Microsoft Excel.
Course Content

1.     Using DuPont Model and ratio analysis in order to analyze financial statements

·         Reading financial statements properly

·         Adjusting financial statements

·         Apply ratio calculation and DuPont Model

2.     Learn Caseware IDEA

·         Accessing different data files

·         Understanding data

·         Analyzing data:

    • Basic commands:  aging, summarization, stratification, pivot tables, gaps, duplicates, sorting, indexing, extracting
    • Using the equation editor for recalculation
    • Redefining source data using functions
    • Correlation and trend analysis

·         Working with multiple files:

    • Joining two files looking for matched or unmatched records
    • Searching for fields in multiple files 
    • Using visual connector to check for limits
    • Automating the process and reporting
    • History log, use of macros

  3.     Financial Modeling

·         Designing and creating an interactive financial model using Excel

·         Designing the layout of the model clearly and logically

·         Creating clearly defined inputs and assumption sections

·         Building powerful scenarios

·         Incorporating all related schedules

4. Designing and creating a Dashboard using Excel

·         Evaluating existing data

·         Defining Key Performance Indicators (KPI)

·         Calculating KPI

·         Designing charts and graphs for KPI

·         Presenting dashboard

Methods Of Instruction

In-class lectures in a computer lab and/or on-line

Means of Assessment

Projects: A minimum of two separate group data analytics projects  40% - 50%

              A minimum of two separate individual data analytics projects  30%

              (a mininum of 10% should be assigned to each project, no project should be assigned more than 40%)   

Final Exam                                                                              20%-30%

To pass this course, students must obtain a minimum of 50% on invigilated assessments, with the 50% calculated on a weighted average basis.

Invigilated assessments include, in-class quizzes, in-class tests, midterm exam(s) and the final exam.

Learning Outcomes
  • Analyze financial statements using DuPont Model
  • Compare and adjust financial statements
  • Demonstrate proficiency in using CaseWare IDEA software
  • Access and examine different data files
  • Analyze data patterns, identify discrepancies and extract unusual items
  • Create audit samples
  • Analyze data used in accounts receivable and/or payable aging reports, emphasizing data correlation and trend analysis
  • Analyze inventory for accuracy and risk exposure
  • Examine financial data for existence of misrepresentations in areas such as matched or unmatched records, duplication and limit violation
  • Design and construct financial models
  • Create dashboards
Textbook Materials

CaseWare IDEA Software and IDEA Workbook, 

and/or

other textbook(s) and/or material approved by the department 

Requisites

Prerequisites

(ACCT 1210 OR ACCT 1235) and CSIS 1190

Or currently active in the

-           PDD Accounting

-           PDD Data Analytics

Or (ACCT 1210 OR ACCT 1235) and currently active in the

-           PBD Accounting and Finance

-           PDD Accounting Studies

-           PBD Accounting

A minimum grade of C is required in all courses

Or permission of the instructor

Corequisites

Courses listed here must be completed either prior to or simultaneously with this course:

  • No corequisite courses

Equivalencies

Courses listed here are equivalent to this course and cannot be taken for further credit:

  • No equivalency courses

Requisite for

This course is not required for any other course.

Course Guidelines

Course Guidelines for previous years are viewable by selecting the version desired. If you took this course and do not see a listing for the starting semester / year of the course, consider the previous version as the applicable version.

Course Transfers

Institution Transfer Details Effective Dates
Athabasca University (AU) AU ACCT 2XX (3) 2017/01/01 to -
Capilano University (CAPU) CAPU BADM 2XX (3) 2017/01/01 to -
Coast Mountain College (CMTN) CMTN BADM 2XX (3) 2017/01/01 to -
College of the Rockies (COTR) COTR ACCT 2XX (3) 2017/01/01 to -
Kwantlen Polytechnic University (KPU) No credit 2017/01/01 to -
Simon Fraser University (SFU) No credit 2017/01/01 to -
University Canada West (UCW) No credit 2017/01/01 to -
University of Northern BC (UNBC) No credit 2017/01/01 to -
University of the Fraser Valley (UFV) UFV BUS 3XX (3) 2017/01/01 to -
University of Victoria (UVIC) UVIC COM 3XX (1.5), Cannot be used for credit in BCom program. 2017/01/01 to -

Course Offerings

Fall 2020

CRN
Days
Dates
Start Date
End Date
Instructor
Status
Location
36488
Thu
08-Sep-2020
- 07-Dec-2020
08-Sep-2020
07-Dec-2020
Midgley
Keenan
Open
Online
This course will include synchronous on-line activities. Students should plan to be available on-line at scheduled course times.
Max
Enrolled
Remaining
Waitlist
35
16
19
0
Days
Building
Room
Time
Thu
12:30 - 15:20