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Overview

Advanced topics in accounting analytics with an emphasis on applying contemporary tools for accountants such as Power BI, Alteryx and Tableau to identify business problems, analyse, forecast and visualise data.

Data and analytics are transforming business and have major implications for the role of accountants. Accountants are expected to go beyond their traditional role to become business advisers in this fast-changing environment.
Enrol in ACCT 360 and grasp job-ready knowledge around Power BI, Alteryx, other software and contemporary analytics techniques currently used in the big four accounting firms, in order to be well-prepared for and best suited to the transition of the accountancy profession.

About this paper

Paper title Advanced Accounting Analytics
Subject Accounting
EFTS 0.15
Points 18 points
Teaching period Semester 2 (On campus)
Domestic Tuition Fees ( NZD ) $1,053.30
International Tuition Fees Tuition Fees for international students are elsewhere on this website.
Prerequisite
ACCT 260 and a further 72 200-level points
Schedule C
Commerce
Contact

accountancyfinance@otago.ac.nz

Teaching staff

Dr Hoa Luong

Paper Structure

Core topics are:

  1. Identify a business problem using financial and non-financial information
  2. Analytics for branches of accounting
  3. Visualisation, dashboard and storytelling
Teaching Arrangements

This paper is taught through lectures and computer labs.

Textbooks

Dehning, B., Stratopoulos, T. C., & Mohapatra, P. (2024). Accounting analytics with Alteryx (1st edition). Orange, CA: BDTSPM

Richardson, V., Teeter, R. A., & Terrell, K. L. Data analytics for accounting (2025 Release). NY, US: McGraw-Hill. ISBN10: 126445855X | ISBN13: 9781264458554

Richardson, V., Teeter, R. A., & Terrell, K. L. (2024). Introduction to Data Analytics for Accounting (2nd edition). NY, US: McGraw-Hill. ISBN10: 1266360522 | ISBN13: 9781266360527

Course outline

View the course outline for ACCT360

Graduate Attributes Emphasised

Critical thinking, Information literacy, Communication, Team work
View more information about Otago's graduate attributes.

Learning Outcomes

Students who successfully complete the paper will be able to:

  1. Demonstrate enhanced capabilities to integrate and apply analytical techniques and accounting knowledge to identify business problems
  2. Critically evaluate the suitability of data and apply advanced techniques to prepare it for further analysis
  3. Use judgement to select and apply appropriate analytical tools such as Power BI, Alteryx and Tableau in contexts
  4. Demonstrate competence in identifying and applying analytics techniques to analyse, determine cause, make forecasts and recommend course of action
  5. Demonstrate enhanced capabilities to incorporate financial and non-financial information to draw conclusions and translate insights into concrete business actions
  6. Efficiently and effectively visualise and communicate results of data analyses to stakeholders

Timetable

Semester 2

Location
Dunedin
Teaching method
This paper is taught On Campus
Learning management system
Aoroa

Computer Lab

Stream Days Times Weeks
Attend one stream from
A1 Wednesday 11:00-12:50 29-35, 37-42
A2 Tuesday 11:00-12:50 29-35, 37-42
A3 Tuesday 13:00-14:50 29-35, 37-42
A4 Wednesday 09:00-10:50 29-35, 37-42

Lecture

Stream Days Times Weeks
Attend one stream from
A1 Monday 10:00-11:50 29-35, 37-42
A2 Monday 13:00-14:50 29-35, 37-42
A3 Monday 13:00-14:50 29-35, 37-42

Terms Test (Streamed)

Stream Days Times Weeks
Attend one stream from
A1 Thursday 17:30-20:20 34, 42
A2 Thursday 17:30-20:20 34
A3 Thursday 17:30-20:20 34, 42
A4 Thursday 17:30-20:20 34

Overview

Advanced topics in accounting analytics with an emphasis on applying contemporary tools for accountants such as Power BI, Alteryx and Tableau to identify business problems, analyse, forecast and visualise data.

Data and analytics are transforming business and have major implications for the role of accountants. Accountants are expected to go beyond their traditional role to become business advisers in this fast-changing environment.
Enrol in ACCT 360 and grasp job-ready knowledge around Power BI, Alteryx, other software and contemporary analytics techniques currently used in the big four accounting firms, in order to be well-prepared for and best suited to the transition of the accountancy profession.

About this paper

Paper title Advanced Accounting Analytics
Subject Accounting
EFTS 0.15
Points 18 points
Teaching period Semester 1 (On campus)
Domestic Tuition Fees Tuition Fees for 2027 have not yet been set
International Tuition Fees Tuition Fees for international students are elsewhere on this website.
Prerequisite
ACCT 260 and a further 72 200-level points
Schedule C
Commerce
Contact

accountancyfinance@otago.ac.nz

Teaching staff

Dr Hoa Luong

Paper Structure

Core topics are:

  1. Identify a business problem using financial and non-financial information
  2. Analytics for branches of accounting
  3. Visualisation, dashboard and storytelling
Teaching Arrangements

This paper is taught through lectures and computer labs.

Textbooks
  • Dehning, B., Stratopoulos, T. C., & Mohapatra, P. (2024). Accounting analytics with Alteryx (1st edition). Orange, CA: BDTSPM
  • Richardson, V., Teeter, R. A., & Terrell, K. L. Data analytics for accounting (2025 Release). NY, US: McGraw-Hill. ISBN10: 126445855X | ISBN13: 9781264458554
  • Richardson, V., Teeter, R. A., & Terrell, K. L. (2024). Introduction to Data Analytics for Accounting (2nd edition). NY, US: McGraw-Hill. ISBN10: 1266360522 | ISBN13: 9781266360527
  • Course outline

    View the course outline for ACCT 360.

    Graduate Attributes Emphasised
    Communication, Information literacy.
    View more information about Otago's graduate attributes.
    Learning Outcomes

    Students who successfully complete the paper will be able to:

    1. Demonstrate enhanced capabilities to integrate and apply analytical techniques and accounting knowledge to identify business problems
    2. Critically evaluate the suitability of data and apply advanced techniques to prepare it for further analysis
    3. Use judgement to select and apply appropriate analytical tools such as Power BI, Alteryx and Tableau in contexts
    4. Demonstrate competence in identifying and applying analytics techniques to analyse, determine cause, make forecasts and recommend a course of action
    5. Demonstrate enhanced capabilities to incorporate financial and non-financial information to draw conclusions and translate insights into concrete business actions
    6. Efficiently and effectively visualise and communicate results of data analyses to stakeholders

    Timetable

    Semester 1

    Location
    Dunedin
    Teaching method
    This paper is taught On Campus
    Learning management system
    Aoroa

    Computer Lab

    Stream Days Times Weeks
    Attend one stream from
    A1 Tuesday 13:00-14:50 9-12, 15-22
    A2 Wednesday 11:00-12:50 9-12, 15-22
    A3 Tuesday 11:00-12:50 9-12, 15-22
    A4 Wednesday 13:00-14:50 9-12, 15-22

    Lecture

    Stream Days Times Weeks
    Attend one stream from
    A1 Monday 09:00-10:50 9-12, 15-22
    A2 Monday 12:00-13:50 9-12, 15-22
    A3 Monday 12:00-13:50 9-12, 15-22
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