DATA GOVERNANCE OVERVIEW
Course Code
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0120_004_Overview DG |
Duration |
2 days (16 hours) |
Course Level(s)
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Beginner |
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Target Participants
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Anyone interested to understand the field of Data Governance and its proposition to the business, Compliance/ Governance/GRC officers, business leaders and senior executives who are tasked to champion or drive the organisation’s data governance/data management initiatives.
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Pre-requisite
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· Basic understanding/appreciation of data management activities and the workings of typical IT systems with regards to the capture, processing and presentation of data/information/insights.
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Course Format |
· Interactive lecture and discussion · Training days will be scheduled to meet work demands
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Certification Body |
-
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“Data Governance is what makes your data practice sustainable.” It consists of practices, processes, rules and a formal organisation that ensures predictability of the organisation’s data assets. Data Governance is not about the data. It’s about how better control and management of data enables business strategies, improves business outcomes and reduces risk. It applies to data in all forms, electronic as well as paper based. Data is data and needs to be managed to ensure predictability when used.
This overview course introduces the audience to the world of Information Governance and the role of Data Governance in an organisation’s broader information strategy. It will cover the practice of Governance, Risk Management and Compliance (GRC) and look at how those practices translate specifically to the area of Data Governance.
The audience will take away an understanding of the key principles and objectives of data governance in an organisation and how it impacts other parts/functions of the organisation that create, consume or present data/information/insights. They will appreciate the need for a formal data governance organisation and the competencies that this organisation must have to be effective.
We will look at the importance of data design and architecture in future-proofing an organisation’s decision support capabilities. This has specific impact on cost of ownership of IT systems.
We will look at the role of policies, standards and rules and how they impact the reliability of any data-driven decision, product or service and how this in turn impacts the trustworthiness of a brand.
To re-enforce learning, the audience will participate in scenario discussions and table-top exercises based on real world challenges. Participants will graduate more equipped to articulate the proposition of a data-driven business, hinged on a robust data governance practice.
Participants are encouraged to bring their work-place data challenges. These can be workshopped as learning opportunities and the contributor potentially takes away a solution to their challenge.
Subject |
Topics |
Learning Outcomes |
Estimated Duration |
Overview of Governance, Risk Management & Compliance (GRC) |
· Role of the GRC function in an organisation · Principled Performance – GRC reinvented to focus on performance enabling instead of just protection |
Understand the practice of Governance, Risk Management and Compliance |
1.5 hr |
Data Principals |
· Fundamental data principals |
Understand the basic principles and inherent attributes of data and any data-driven business function. |
1 hrs |
Introduction to Information Governance |
· The scope of Information Governance |
Appreciate the breadth of the scope of Information Governance |
1 hr |
What is Data Governance |
· Definitions · Key goals of data governance · Scope of data governance · KPIs and economics of data governance |
Understand the scope of data governance, how it impacts your data-driven practices and how to set realistic goals and track progress/performance of your data governance initiatives |
4 hr |
The governance organization and roles |
· Typical organisation model · Key competencies · The Next Generation Compliance/Governance specialist · The Chief Data Officer (DCO) |
Understand the need for a formal governance organisation, typically called the Data Council and the competencies required to stay connected with technology as well as business developments. |
2.5 hr |
Data architecture and design principles |
· Introduction to data design principles to future proof your information infrastructure investments |
The importance of data design and architecture. The need for this to be business aspiration centric instead of technology. |
1 hr |
Policies and standards
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· Why we need policies/standards · Typical suite of data related policies and standards |
How data policies and data standards add to predictability and sustainability of an organisation’s data practice. |
2.5 hr |
The Data (Governance) Proposition |
· Upkeep Data – Information Management and Governance · Managing Risk – Data Retention and Disposal Governance · Protect Data – Information Security and Compliance · Better Decision Making – Insights and Business Analytics · Monetising Data – New business/services |
Be able to articulate the need for a robust and holistic data governance practice to support any planned organisational transformation through data innovation. |
1.5 hr |
Data Governance Challenges |
· Organisation and culture, e.g. Data hoarding and improper retention · Acceptance and communication · Budgets and stakeholders · Standardisation and flexibility
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The importance of operationalisations, without which, data governance becomes very academic. |
1 hr |
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