DIGIB202-21A (HAM)

The Techno-Savvy Business

15 Points

Edit Header Content
Division of Management
School of Management and Marketing

Staff

Edit Staff Content

Convenor(s)

Lecturer(s)

Administrator(s)

: sade.lomas@waikato.ac.nz

Placement/WIL Coordinator(s)

Tutor(s)

: dakshayani.shetty@waikato.ac.nz
: hannah.rajaazlan@waikato.ac.nz

Student Representative(s)

Lab Technician(s)

Librarian(s)

: nat.enright@waikato.ac.nz

You can contact staff by:

  • Calling +64 7 838 4466 select option 1, then enter the extension.
  • Extensions starting with 4, 5, 9 or 3 can also be direct dialled:
    • For extensions starting with 4: dial +64 7 838 extension.
    • For extensions starting with 5: dial +64 7 858 extension.
    • For extensions starting with 9: dial +64 7 837 extension.
    • For extensions starting with 3: dial +64 7 2620 + the last 3 digits of the extension e.g. 3123 = +64 7 262 0123.
Edit Staff Content

Paper Description

Edit Paper Description Content

Today businesses gather massive amount of data about their customers, business processes, suppliers, competitors and partners. To remain relevant in this era, business people need new skills to understand data and recent data technologies that help them derive valuable insights from data. Business Intelligence enables access and delivery of information for business people. Business Intelligence is crucial for fact-based decision-making in a broad range of disciplines including marketing, sales, supply chain management, finance and human resource.

Edit Paper Description Content

Paper Structure

Edit Paper Structure Content

This paper is delivered in FLEXI mode meaning that your learning can be done face-to-face (on campus) or online. This gives you flexibility as to where and how you learn during the trimester. You are required to specify your default learning approach (face-to-face (on campus) or online) by the end of week one (5 March 2021). Further information on how to do that will be available on Moodle.

This paper will be delivered via a combination of lectures and in-lab practical sessions. All course materials will be available on Moodle. All lectures will be recorded and uploaded on Moodle each week.

Please review the weekly course schedule and keep an eye out for any Moodle announcement notices.

Edit Paper Structure Content

Learning Outcomes

Edit Learning Outcomes Content

Students who successfully complete the paper should be able to:

  • Articulate in a non-technical way the key organisational benefits of recent data technologies
    Linked to the following assessments:
  • Present a convincing argument for, and against, the adoption of relevant data technologies to a real-world situation
    Linked to the following assessments:
  • Demonstrate basic skills in user/client expectation management associated with contemporary data technology adoption
    Linked to the following assessments:
  • Present a coherent, broad understanding of the role of contemporary data technologies within organisations
    Linked to the following assessments:
  • Demonstrate the attainment of practical skills in the use of data technologies
    Linked to the following assessments:
Edit Learning Outcomes Content
Edit Learning Outcomes Content

Assessment

Edit Assessments Content

Apart from the individual and group assessments, weekly graded activities will take place in labs. Details will be provided on Moodle.

All pieces of assessment are to be completed on or by the due date. This paper abides by the WMS Policy for Lateness and Extensions, as explained in this Paper Outline.

All material submitted for assessment in this paper will be submitted to electronic plagiarism detection systems.

All regulations and policies are published in the University Calendar. Please note in particular, the Assessment Regulations and General Regulations and Policies.

Edit Additional Assessment Information Content

Assessment Components

Edit Assessments Content

The internal assessment/exam ratio (as stated in the University Calendar) is 100:0. There is no final exam. The final exam makes up 0% of the overall mark.

The internal assessment/exam ratio (as stated in the University Calendar) is 100:0 or 0:0, whichever is more favourable for the student. The final exam makes up either 0% or 0% of the overall mark.

Component DescriptionDue Date TimePercentage of overall markSubmission MethodCompulsory
1. Practical 1
25 Mar 2021
11:00 PM
15
  • Online: Submit through Moodle
2. Practical 2
22 Apr 2021
11:00 PM
15
  • Online: Submit through Moodle
3. Practical 3
13 May 2021
11:00 PM
15
  • Online: Submit through Moodle
4. Group Project Presentation [Part A]
2 Jun 2021
9:00 AM
15
  • In Class: In Lecture
5. Group Project Report [Part B]
10 Jun 2021
11:00 PM
20
  • Online: Submit through Moodle
6. Lab Activities
20
  • Hand-in: In Lab
Assessment Total:     100    
Failing to complete a compulsory assessment component of a paper will result in an IC grade
Edit Assessments Content

Required and Recommended Readings

Edit Required Readings Content

Required Readings

Edit Required Readings Content
Documents required for every session will be uploaded on the Moodle page. There is no recommended book for this paper.
Edit Required Readings Content

Online Support

Edit Online Support Content

Moodle is the Learning Management System (LMS) used in this paper.

All materials and resources used in this paper will be uploaded on Moodle, along with any announcements made throughout the trimester.

Edit Online Support Content

Workload

Edit Workload Content
As a 15-point paper, the total number of learning hours is expected to be approximately 150. This includes formal classes, labs, as well as independent study.
Edit Workload Content

Linkages to Other Papers

Edit Linkages Content
Note any linkages to other papers where the linkage is of importance.
Edit Linkages Content

Prerequisite(s)

Corequisite(s)

Equivalent(s)

Restriction(s)

Restricted papers: MSYS212

Edit Linkages Content