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    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 advisors 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 ) $937.50
    International Tuition Fees Tuition Fees for international students are elsewhere on this website.
    ACCT 260 and a further 72 200-level points
    Schedule C

    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.


    Richardson, V., Teeter, R. A., & Terrell, K. L. (2022). ISE Data Analytics for Accounting (3rd edition). 1265094454 9781265094454

    Available as e-text, from library or University Book Shop.

    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 judgment 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


    Semester 2

    Teaching method
    This paper is taught On Campus
    Learning management system

    Computer Lab

    Stream Days Times Weeks
    Attend one stream from
    A2 Tuesday 12:00-13:50 31
    Tuesday 15:00-16:50 29-30, 32-35, 37-42
    A3 Wednesday 13:00-14:50 29-35, 37-42
    A4 Wednesday 15:00-16:50 29-35, 37-42


    Stream Days Times Weeks
    Attend one stream from
    A1 Monday 12:00-13:50 29-35, 37-42
    A2 Monday 15:00-16:50 29-35, 37-42
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