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Overview

The principles of organisational governance and data-informed decision making, including collaborative governance, data governance and the importance of evidence-informed and ethical decision making.

This course will focus on exploring the interconnected nature of governance and decision making, specifically ethic, evidence based, data-informed decision making. It is specifically designed for non-technical senior leaders, decision-makers and governance professionals to help them engage with the principles of good governance as well as AI and using data responsibly to support their decision-making. This course will help develop a critical understanding of the role of governance and decision making to address dynamic changes in business environments. It will also introduce students to the value of data to help support effective governance and decision making to arrive at solutions that address complex organisational problems.

About this paper

Paper title Governance and Evidence-Informed Decision Making
Subject Doctor of Business Administration
EFTS 0.1667
Points 20 points
Teaching period(s) 1st Non standard period (12 January 2026 - 6 March 2026) (Distance learning)
1st Non standard period (12 January 2026 - 6 March 2026) (On campus)
Delivery mode The Distance Learning offering of this paper is a combination of remote and in-person teaching
Domestic Tuition Fees ( NZD ) $1,665.83
International Tuition Fees Tuition Fees for international students are elsewhere on this website.
Limited to
DBA
Eligibility

Limited to DBA

Contact

otagoba@otago.ac.nz

Teaching staff

Dr Adeel Akmal

Teaching Arrangements

The paper is distance-taught with an on-campus workshop component.

Textbooks

Readings will be available through Blackboard

Graduate Attributes Emphasised

Global Perspective, Interdisciplinary Perspective, Critical Thinking,Ethics, Communication, Information Literacy, Research.
View more information about Otago's graduate attributes.

Learning Outcomes
  • Critically analyse overlapping governance systems and explain how accountability, transparency and stakeholder engagement shape decision quality.
  • Select, justify and apply appropriate performance-measurement tools—such as KPIs, balanced scorecards and real-time dashboards—to align decisions with system goals.
  • Design and run evidence-informed improvement cycles (e.g., PDSA, DMAIC, A3) that gather relevant data, test interventions and scale successful practices.
  • Integrate multiple stakeholder perspectives to define “quality” and “value,” mapping customer-or citizen-centred requirements into practical governance or service-design solutions.
  • Diagnose and streamline governance-related work processes by identifying waste, bottlenecks and risk points, and propose data-driven remedies that accelerate decision-cycle times.

Overview

The principles of organisational governance and data-informed decision making, including collaborative governance, data governance and the importance of evidence-informed and ethical decision making.

This course will focus on exploring the interconnected nature of governance and decision making, specifically ethic, evidence based, data-informed decision making. It is specifically designed for non-technical senior leaders, decision-makers and governance professionals to help them engage with the principles of good governance as well as AI and using data responsibly to support their decision-making.

This course will help develop a critical understanding of the role of governance and decision making to address dynamic changes in business environments. It will also introduce students to the value of data to help support effective governance and decision making to arrive at solutions that address complex organisational problems.

About this paper

Paper title Governance and Evidence-Informed Decision Making
Subject Doctor of Business Administration
EFTS 0.1667
Points 20 points
Teaching period(s) 1st Non standard period (3 May 2027 - 24 June 2027) (Distance learning)
1st Non standard period (3 May 2027 - 24 June 2027) (On campus)
Delivery mode The Distance Learning offering of this paper is taught and assessed remotely
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.
Limited to
DBA
Eligibility

Limited to DBA.

Contact

otagoba@otago.ac.nz

Teaching staff

Dr Adeel Akmal

Teaching Arrangements

The paper is distance-taught with an on-campus workshop component.

Textbooks

Readings will be available through Aoroa.

Graduate Attributes Emphasised

Global Perspective, Interdisciplinary Perspective, Critical Thinking,Ethics, Communication, Information Literacy, Research.
View more information about Otago's graduate attributes.

Learning Outcomes
  • Critically analyse overlapping governance systems and explain how accountability, transparency and stakeholder engagement shape decision quality.
  • Select, justify and apply appropriate performance-measurement tools, such as KPIs, balanced scorecards and real-time dashboards, to align decisions with system goals.
  • Design and run evidence-informed improvement cycles (e.g. PDSA, DMAIC, A3) that gather relevant data, test interventions and scale successful practices.
  • Integrate multiple stakeholder perspectives to define "quality" and "value," mapping customer-or citizen-centred requirements into practical governance or service-design solutions.
  • Diagnose and streamline governance-related work processes by identifying waste, bottlenecks and risk points and propose data-driven remedies that accelerate decision-cycle times.
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