UniMate AI

BSAN7211

商业分析课程

2 学分难度 超难

课程定位 BSAN7211(Monetizing Business Data)是 UQ 商业分析方向的重要课程,核心目标是把课堂框架转化为真实场景中的判断与交付能力。课程通常连接基础方法与高阶专题,既服务后续课程学习,也直接对应实习与职场中的分析、沟通和协作任务。 技术栈与学习内容 课程内容通常覆盖数据解读、业务分析、研究方法、案例推理与商业表达,并结合 Excel/统计工具、报告写作和展示训练。你需要掌握的不只是知识点本身,还包括问题拆解、证据组织、结论表达和风险说明。 课程结构 课程一般按 13 周推进,前段建立框架,中段强化案例与作业,后段综合评估。考核常见组合为 Quiz/Tutorial、作业/报告、展示和期末评估。评分不仅看结果正确性,也看逻辑完整性、表达清晰度和可执行性。 适合人群 适合希望提升分析思维、商业表达和项目协作能力的同学,尤其适合走分析、运营、咨询、管理或研究方向。建议每周投入 8-12 小时,保持“预习-练习-复盘”节奏,持续输出比临时冲刺更稳。

Course decision

选课先看

先看考核重心、截止节奏和入门要求,再决定这门课是否适合你的学期安排。

考核总权重

100%

4 项考核

最高单项

35%

Case Assignment

期末考试

以官方 outline 为准

Hurdle

未列出

当前考核表没有 Hurdle 标记

What you learn

学完能做什么

学习成果来自官方 Unit Outline,关键词来自这门课的逐周主题。

课程能力关键词

Topic1.1:TheDataMonetisationFrameworkThistopic1.2:CaseStudy1.3:Creatingvalue

Syllabus

每周大纲

默认只展示每周独有的知识重点;节奏、考核、Tutorial 和避坑信息按需展开。

  1. 1

    Topic 1.1: The Data Monetisation Framework This topic builds on a practical framework called Improve, Wrap, Sell (I-W-S) to explain how businesses can create economic value from their digital data assets. This topic provides a foundation for the analysis of the case studies addressed in this week's live session. | Live session In this session we will brief you on assessment requirements and provide an introduction to

    第1周主题:Topic 1.1: The Data Monetisation Framework This topic builds on a practical framework called Improve, Wrap, Sell (I-W-S) to explain how businesses can create economic value from their digital data assets. This topic provides a foundation for the analysis of the case studies addressed in this week's live session. | Live session In this session we will brief you on assessment requirements and provide an introduction to 本周先完成 Lecture/Reading 的概念梳理,再用 tutorial 或题目验证理解,重点是把概念转成可解释的步骤。 学习重点:围绕“Topic 1.1: The Data Monetisation Framework This topic builds on a practical framework called Improve, Wrap, Sell (I-W-S) to explain how businesses can create economic value from their digital data assets. This topic provides a foundation for the analysis of the case studies addressed in this week's live session. | Live session In this session we will brief you on assessment requirements and provide an introduction to”识别关键术语、方法边界和常见误区,输出一页结构化笔记(定义、方法、例题、易错点)。 实操建议:至少完成 2-3 个与本周主题直接相关的练习,并记录每题的假设与推导过程,避免只记结论。 交付与复盘:对照 BSAN7211 的 assessment 要求检查本周产出,保留可复用模板用于后续周和考前复盘。

    Topic1.1:TheDataMonetisationFrameworkThistopic
  2. 2

    Topic 1.2: Data Monetisation Case Study This topic leverages the I-W-S framework to showcase how large global companies monetise their business data. This topic provides a foundation for the analysis of the case studies addressed in this week's live session. | Live session In this live session we will analyse several case studies and reflect on the other topics addressed in this module.

    第2周主题:Topic 1.2: Data Monetisation Case Study This topic leverages the I-W-S framework to showcase how large global companies monetise their business data. This topic provides a foundation for the analysis of the case studies addressed in this week's live session. | Live session In this live session we will analyse several case studies and reflect on the other topics addressed in this module. 本周先完成 Lecture/Reading 的概念梳理,再用 tutorial 或题目验证理解,重点是把概念转成可解释的步骤。 学习重点:围绕“Topic 1.2: Data Monetisation Case Study This topic leverages the I-W-S framework to showcase how large global companies monetise their business data. This topic provides a foundation for the analysis of the case studies addressed in this week's live session. | Live session In this live session we will analyse several case studies and reflect on the other topics addressed in this module.”识别关键术语、方法边界和常见误区,输出一页结构化笔记(定义、方法、例题、易错点)。 实操建议:至少完成 2-3 个与本周主题直接相关的练习,并记录每题的假设与推导过程,避免只记结论。 交付与复盘:对照 BSAN7211 的 assessment 要求检查本周产出,保留可复用模板用于后续周和考前复盘。

    Topic1.2:DataMonetisationCaseStudyThistopic
  3. 3

    Topic 1.3: Creating value with process improvement This topic takes a deep dive into understanding how organisations utilise data to change work processes and make them better, cheaper, and faster. This week we consider the SEC, Guess, and Trinity Health cases. | Live session In this live session we will analyse several case studies and reflect on the other topics addressed in this module.

    第3周主题:Topic 1.3: Creating value with process improvement This topic takes a deep dive into understanding how organisations utilise data to change work processes and make them better, cheaper, and faster. This week we consider the SEC, Guess, and Trinity Health cases. | Live session In this live session we will analyse several case studies and reflect on the other topics addressed in this module. 本周先完成 Lecture/Reading 的概念梳理,再用 tutorial 或题目验证理解,重点是把概念转成可解释的步骤。 学习重点:围绕“Topic 1.3: Creating value with process improvement This topic takes a deep dive into understanding how organisations utilise data to change work processes and make them better, cheaper, and faster. This week we consider the SEC, Guess, and Trinity Health cases. | Live session In this live session we will analyse several case studies and reflect on the other topics addressed in this module.”识别关键术语、方法边界和常见误区,输出一页结构化笔记(定义、方法、例题、易错点)。 实操建议:至少完成 2-3 个与本周主题直接相关的练习,并记录每题的假设与推导过程,避免只记结论。 交付与复盘:对照 BSAN7211 的 assessment 要求检查本周产出,保留可复用模板用于后续周和考前复盘。

    Topic1.3:CreatingvaluewithprocessimprovementThis
  4. 4

    Topic 1.4: Creating value with data wrapping This topic focuses on understanding how organisations wrap their products and services with data and analytics features. This week, we consider the Cochlear case. | Live Session In this live session we will analyse several Case studies and reflect on the other topics addressed in this module.

    第4周主题:Topic 1.4: Creating value with data wrapping This topic focuses on understanding how organisations wrap their products and services with data and analytics features. This week, we consider the Cochlear case. | Live Session In this live session we will analyse several Case studies and reflect on the other topics addressed in this module. 本周先完成 Lecture/Reading 的概念梳理,再用 tutorial 或题目验证理解,重点是把概念转成可解释的步骤。 学习重点:围绕“Topic 1.4: Creating value with data wrapping This topic focuses on understanding how organisations wrap their products and services with data and analytics features. This week, we consider the Cochlear case. | Live Session In this live session we will analyse several Case studies and reflect on the other topics addressed in this module.”识别关键术语、方法边界和常见误区,输出一页结构化笔记(定义、方法、例题、易错点)。 实操建议:至少完成 2-3 个与本周主题直接相关的练习,并记录每题的假设与推导过程,避免只记结论。 交付与复盘:对照 BSAN7211 的 assessment 要求检查本周产出,保留可复用模板用于后续周和考前复盘。

    Topic1.4:CreatingvaluewithdatawrappingThis
  5. 5

    Topic 1.5: Creating value through selling data This topic explores how organisations build and create value from novel information solutions. This topic provides a foundation for the analysis of the case studies addressed in this week's live session. | Live session In this live session we will analyse several Case studies and reflect on the other topics addressed in this module.

    第5周主题:Topic 1.5: Creating value through selling data This topic explores how organisations build and create value from novel information solutions. This topic provides a foundation for the analysis of the case studies addressed in this week's live session. | Live session In this live session we will analyse several Case studies and reflect on the other topics addressed in this module. 本周先完成 Lecture/Reading 的概念梳理,再用 tutorial 或题目验证理解,重点是把概念转成可解释的步骤。 学习重点:围绕“Topic 1.5: Creating value through selling data This topic explores how organisations build and create value from novel information solutions. This topic provides a foundation for the analysis of the case studies addressed in this week's live session. | Live session In this live session we will analyse several Case studies and reflect on the other topics addressed in this module.”识别关键术语、方法边界和常见误区,输出一页结构化笔记(定义、方法、例题、易错点)。 实操建议:至少完成 2-3 个与本周主题直接相关的练习,并记录每题的假设与推导过程,避免只记结论。 交付与复盘:对照 BSAN7211 的 assessment 要求检查本周产出,保留可复用模板用于后续周和考前复盘。

    Topic1.5:CreatingvaluethroughsellingdataThis
  6. 6

    Assessment work

    第6周主题:Assessment work 本周先完成 Lecture/Reading 的概念梳理,再用 tutorial 或题目验证理解,重点是把概念转成可解释的步骤。 学习重点:围绕“Assessment work”识别关键术语、方法边界和常见误区,输出一页结构化笔记(定义、方法、例题、易错点)。 实操建议:至少完成 2-3 个与本周主题直接相关的练习,并记录每题的假设与推导过程,避免只记结论。 交付与复盘:对照 BSAN7211 的 assessment 要求检查本周产出,保留可复用模板用于后续周和考前复盘。

    Assessmentwork
  7. 7

    Topic 2.1: Data monetisation capabilities This topic introduced five specific capabilities required for data monetisation. | Live sessions In this live session, we will review the module material, and then focus on assessments requirements with a final workshop addressing Q&A as a class.

    第7周主题:Topic 2.1: Data monetisation capabilities This topic introduced five specific capabilities required for data monetisation. | Live sessions In this live session, we will review the module material, and then focus on assessments requirements with a final workshop addressing Q&A as a class. 本周先完成 Lecture/Reading 的概念梳理,再用 tutorial 或题目验证理解,重点是把概念转成可解释的步骤。 学习重点:围绕“Topic 2.1: Data monetisation capabilities This topic introduced five specific capabilities required for data monetisation. | Live sessions In this live session, we will review the module material, and then focus on assessments requirements with a final workshop addressing Q&A as a class.”识别关键术语、方法边界和常见误区,输出一页结构化笔记(定义、方法、例题、易错点)。 实操建议:至少完成 2-3 个与本周主题直接相关的练习,并记录每题的假设与推导过程,避免只记结论。 交付与复盘:对照 BSAN7211 的 assessment 要求检查本周产出,保留可复用模板用于后续周和考前复盘。

    Topic2.1:DatamonetisationcapabilitiesThistopicintroduced
  8. 8

    Topic 2.2: Data-driven transformation This topic explore organisational transformation driven by data and analytics with a focus on structural and cultural changes. This topic provides a foundation for the analysis of the case studies addressed in this week's live session. | Live session In this live session we will analyse several case studies and reflect on the other topics addressed in this module.

    第8周主题:Topic 2.2: Data-driven transformation This topic explore organisational transformation driven by data and analytics with a focus on structural and cultural changes. This topic provides a foundation for the analysis of the case studies addressed in this week's live session. | Live session In this live session we will analyse several case studies and reflect on the other topics addressed in this module. 本周先完成 Lecture/Reading 的概念梳理,再用 tutorial 或题目验证理解,重点是把概念转成可解释的步骤。 学习重点:围绕“Topic 2.2: Data-driven transformation This topic explore organisational transformation driven by data and analytics with a focus on structural and cultural changes. This topic provides a foundation for the analysis of the case studies addressed in this week's live session. | Live session In this live session we will analyse several case studies and reflect on the other topics addressed in this module.”识别关键术语、方法边界和常见误区,输出一页结构化笔记(定义、方法、例题、易错点)。 实操建议:至少完成 2-3 个与本周主题直接相关的练习,并记录每题的假设与推导过程,避免只记结论。 交付与复盘:对照 BSAN7211 的 assessment 要求检查本周产出,保留可复用模板用于后续周和考前复盘。

    Topic2.2:Data-driventransformationThistopicexploreorganisational
  9. 9

    Topic 3.1: Data Governance Maturity This topic discusses data governance, data governance maturity, its relationship with legislative compliance and ethics. Two case studies are considered this week: IAG and Ruby Rae's. | Live session

    第9周主题:Topic 3.1: Data Governance Maturity This topic discusses data governance, data governance maturity, its relationship with legislative compliance and ethics. Two case studies are considered this week: IAG and Ruby Rae's. | Live session 本周先完成 Lecture/Reading 的概念梳理,再用 tutorial 或题目验证理解,重点是把概念转成可解释的步骤。 学习重点:围绕“Topic 3.1: Data Governance Maturity This topic discusses data governance, data governance maturity, its relationship with legislative compliance and ethics. Two case studies are considered this week: IAG and Ruby Rae's. | Live session”识别关键术语、方法边界和常见误区,输出一页结构化笔记(定义、方法、例题、易错点)。 实操建议:至少完成 2-3 个与本周主题直接相关的练习,并记录每题的假设与推导过程,避免只记结论。 交付与复盘:对照 BSAN7211 的 assessment 要求检查本周产出,保留可复用模板用于后续周和考前复盘。

    Topic3.1:DataGovernanceMaturityThistopicdiscusses
  10. 10

    Topic 3.2: Data Governance Paradigms This topic explores decision rights, paradigms of data governance (including silo-oriented, functional, and platform-based data governance). This week we consider the Intel case study. | Live session In this live session we will analyse several case studies and reflect on the other topics addressed in this module.

    第10周主题:Topic 3.2: Data Governance Paradigms This topic explores decision rights, paradigms of data governance (including silo-oriented, functional, and platform-based data governance). This week we consider the Intel case study. | Live session In this live session we will analyse several case studies and reflect on the other topics addressed in this module. 本周先完成 Lecture/Reading 的概念梳理,再用 tutorial 或题目验证理解,重点是把概念转成可解释的步骤。 学习重点:围绕“Topic 3.2: Data Governance Paradigms This topic explores decision rights, paradigms of data governance (including silo-oriented, functional, and platform-based data governance). This week we consider the Intel case study. | Live session In this live session we will analyse several case studies and reflect on the other topics addressed in this module.”识别关键术语、方法边界和常见误区,输出一页结构化笔记(定义、方法、例题、易错点)。 实操建议:至少完成 2-3 个与本周主题直接相关的练习,并记录每题的假设与推导过程,避免只记结论。 交付与复盘:对照 BSAN7211 的 assessment 要求检查本周产出,保留可复用模板用于后续周和考前复盘。

    Topic3.2:DataGovernanceParadigmsThistopicexplores
  11. 11

    Topic 3.3: Data Governance Overview In this topic, we consider our discussions in the prior week as an overview and then consider how to build data governance in support of data monetisation. This topic provides a foundation for the analysis of the case studies addressed in this week's live session. | Live Session In this live session we will analyse several case studies and reflect on the other topics addressed in t

    第11周主题:Topic 3.3: Data Governance Overview In this topic, we consider our discussions in the prior week as an overview and then consider how to build data governance in support of data monetisation. This topic provides a foundation for the analysis of the case studies addressed in this week's live session. | Live Session In this live session we will analyse several case studies and reflect on the other topics addressed in t 本周先完成 Lecture/Reading 的概念梳理,再用 tutorial 或题目验证理解,重点是把概念转成可解释的步骤。 学习重点:围绕“Topic 3.3: Data Governance Overview In this topic, we consider our discussions in the prior week as an overview and then consider how to build data governance in support of data monetisation. This topic provides a foundation for the analysis of the case studies addressed in this week's live session. | Live Session In this live session we will analyse several case studies and reflect on the other topics addressed in t”识别关键术语、方法边界和常见误区,输出一页结构化笔记(定义、方法、例题、易错点)。 实操建议:至少完成 2-3 个与本周主题直接相关的练习,并记录每题的假设与推导过程,避免只记结论。 交付与复盘:对照 BSAN7211 的 assessment 要求检查本周产出,保留可复用模板用于后续周和考前复盘。

    Topic3.3:DataGovernanceOverviewInthistopic,
  12. 12

    Topic 4.1 Data Monetisation Strategy This topic explores data monetisation opportunities and goals, strategy archetypes, and the role of data network efforts in creating strategic value. | Live Session In this live session, we will review the module material, and then focus on assessments requirements with a final workshop addressing Q&A as a class.

    第12周主题:Topic 4.1 Data Monetisation Strategy This topic explores data monetisation opportunities and goals, strategy archetypes, and the role of data network efforts in creating strategic value. | Live Session In this live session, we will review the module material, and then focus on assessments requirements with a final workshop addressing Q&A as a class. 本周先完成 Lecture/Reading 的概念梳理,再用 tutorial 或题目验证理解,重点是把概念转成可解释的步骤。 学习重点:围绕“Topic 4.1 Data Monetisation Strategy This topic explores data monetisation opportunities and goals, strategy archetypes, and the role of data network efforts in creating strategic value. | Live Session In this live session, we will review the module material, and then focus on assessments requirements with a final workshop addressing Q&A as a class.”识别关键术语、方法边界和常见误区,输出一页结构化笔记(定义、方法、例题、易错点)。 实操建议:至少完成 2-3 个与本周主题直接相关的练习,并记录每题的假设与推导过程,避免只记结论。 交付与复盘:对照 BSAN7211 的 assessment 要求检查本周产出,保留可复用模板用于后续周和考前复盘。

    Topic4.1DataMonetisationStrategyThistopicexplores
  13. 13

    Topic 4.2: Building Data Monetisation Strategy This topic explores how to build data monetisation strategies. | Live Session In this live session, we will share and discuss your progress on the strategies developed for the final assessment, discuss and validate approaches to the assessment through a Q&A discussion, and finally reflect on the key learnings from the course.

    第13周主题:Topic 4.2: Building Data Monetisation Strategy This topic explores how to build data monetisation strategies. | Live Session In this live session, we will share and discuss your progress on the strategies developed for the final assessment, discuss and validate approaches to the assessment through a Q&A discussion, and finally reflect on the key learnings from the course. 本周先完成 Lecture/Reading 的概念梳理,再用 tutorial 或题目验证理解,重点是把概念转成可解释的步骤。 学习重点:围绕“Topic 4.2: Building Data Monetisation Strategy This topic explores how to build data monetisation strategies. | Live Session In this live session, we will share and discuss your progress on the strategies developed for the final assessment, discuss and validate approaches to the assessment through a Q&A discussion, and finally reflect on the key learnings from the course.”识别关键术语、方法边界和常见误区,输出一页结构化笔记(定义、方法、例题、易错点)。 实操建议:至少完成 2-3 个与本周主题直接相关的练习,并记录每题的假设与推导过程,避免只记结论。 交付与复盘:对照 BSAN7211 的 assessment 要求检查本周产出,保留可复用模板用于后续周和考前复盘。

    Topic4.2:BuildingDataMonetisationStrategyThistopic

Assessment

考核结构

Quiz / Tutorial

检验 BSAN7211 阶段掌握。

20%

Case Assignment

案例分析或报告作业。

35%

Presentation / Project

展示与协作能力评估。

15%

Final Exam / Final Assessment

期末综合评估。

30%

Assignments

作业详情

Assignment 1

完成 BSAN7211 的核心案例分析任务。

重点: 框架应用与证据组织

要求:提交结构化报告

⏱ 预计 12 小时

Assignment 2

完成综合问题分析并输出可执行建议。

重点: 结论表达与风险评估

要求:提交报告/展示材料

⏱ 预计 16 小时

From Seniors

学长留下的

基础信息谁都查得到,真正值钱的是过来人的经验。

学姐说

比你早一年的学长留下的真实经验 —— ChatGPT 给不了。

这门课还没有学长经验,你可以是第一个 —— 注册后在课内分享。

往年考点 / 踩坑

这门课暂无往年考点记录。

毕业生去向(整体)

下面是匠人学院毕业生整体去过的公司分布(来自脱敏校友证言)。这是全平台的总体去向,不代表选这门课的人一定去这些公司。

统计自 317 份脱敏校友证言

Deloitte

6 位校友

岗位:Graduate Program · Graduate Consulting · Platform Engineer · Web developer · Platform engineer

Zerologix

4 位校友

岗位:Frontend Dev · junior frontend developer · Front-end Developer · Full Stack Developer

Servian

4 位校友

岗位:Full-stack Developer · Data Engineer · Consultant

关于这块数据,我们说实话

雇主墙来自脱敏毕业生证言(testimonials)的整体分布,无法关联到具体学员或其所选课程;仅作为毕业生去向的总体社会证明展示。

我们没有"某位学长选了这门课、后来进了哪家公司"这种可查询的个人去向档案 —— 校友证言是脱敏的,无法关联到具体的人或他选过的课。所以这里只给整体分布,不给个人路径,不编。