Kate Carruthers, Chief Data Officer, University of NSW

Kate Carruthers

Version 1.0March 2017Classification: PUBLIC

Data GovernanceA Work in Progress

Fast facts

02/05/2023 Data & Information Governance Office 2

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Ensure that the institution has the right information to support key initiatives for the 2025 Strategy

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Data Quality Management

Data Warehouse, Business

Intelligence & Big Data

Reference & Master Data Management

Data Architecture & Modelling

Data Governanc

e

DATA & INFORMATION GOVERNANCE

• Appropriate use• Business value• Information meaning

• Data transparency• Data lineage• Data Quality

Information Governance Data Governance• Data Security• Change Impact• Service Levels

• Information Life–cycle• Information Ownership• Privacy

Definition

"Data governance is the organization and implementation of policies, procedures, structure, roles, and responsibilities which outline an enforce rules of engagement, decision rights, and accountabilities for the effective management of information assets."

(John Ladley, Data Governance: How to Design, Deploy and Sustain an Effective Data Governance Program, 2012)



Baseline Principles

• Data & information governance– is a business driven activity– is a framework to enable the business to

better manage information and data quality• No data or information governance activities will

be undertaken without business buy-in and leadership

• Decision making rights need to be determined


The 4 dimensions Framework:• provides enterprise wide roles and responsibilities to be accountable for decisions related to data assets• establishes policies & procedures to manage the data assets• provides diverse tools for managing operational data tasks

UNSW Data Governance Framework focuses on the oversight, guidance and quality of enterprise data assets enabled through People, Policies, Procedures and Tools

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Policies are high level statements that provide context for strategic

decisions relating to the data assets

People can be members of UNSW governance bodies, which hold the

authority for decision relating to data assets

Tools are pre-prepared objects that support people carrying out procedures

Procedures are specific instructions designed to ensure policy is followed

and outcomes are measurable

Workflow for Approval

Checklists

Issues Register

Data Profiling

Data Sharing

Data Reporting

Regulatory Compliance

Data AssetPrioritisation

Data Exchange Agreements

Data Process Flow

Data Integration

Data Security

Strategic Drivers

Dim

ensi

ons

EnterpriseOversight of Data

EnterpriseGuidance on Data

EnterpriseQuality of Data

PerformanceMetrics

Policies Procedures Tools

Data Executives

Data Owners

Data Stewards

People

Data Creators/ Data Specialists

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Work plan

Setup policy framework

Re-establish Data Governance Committees

Establish Data Ownership structure

Identify ‘Crown Jewels’

Implement Data Classification

Implement System Classification Implement ISMS Implement Business

Glossary Tool

Implement Data Quality Process

Implement Internal Data Sharing Agreements

Implement Reference Data Management

Implement Master Data Management

Done PlannedKey: In progress

Old Data & Information Governance Model


Policy Framework

Coordinating Committees

• Data Governance Steering Committee• Business Intelligence Steering Committee• Information Security Steering Group

Data Ownership & Management

• Data Areas• Data Executives• Data Owners• Data Stewards

• Data Governance Policy• Data Classification Standard• DRAFT Data Handling Guidelines• Information Security Management System

New Data & Information Governance Model


Policy Framework

Coordinating Committees

• Data Governance Steering Committee• Data & Information Management Group• Business Intelligence Competency Centre

Steering Group• Information Security Steering Group

Data Ownership & Management

• Data Areas• Data Executives• Data Owners• Data Stewards

• Revised Data Governance Policy• Revised Data Classification Standard• Final Data Handling Guidelines• Information Security Management System

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Data Creator / Data SpecialistsSupport

Strategic

Tactical

Operational

DataExecutive

Data Owner

Data Stewards

• Provides leadership in data quality and in resolving conflict regarding data assets

• Provides direction and priorities in specific Data Area• Takes leadership support for the data quality principles, policies and

standards across the Data Area

• Ownership of the Data Area on day-to-day basis – accountable for checking the Data Quality

• Provide managerial support to the data governance program and develop data management artefacts

• Provide operational help around planning and issues resolution

• Represent functional areas across the University• Identify and fix data issues within their respective business areas• Document and log data quality issues for resolution in source systems• Provide defined processes for conformance of data to acceptable levels

• Business SMEs• IT /source System/Application SMEs• Database Admin, System Admin, Application specialist, Developers, • Business Analysts, etc.• Researchers and Academics

Data Ownership and Management

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Role High Level Definition

These roles are aligned to provide strategic leadership, tactical and operational excellence to manage the Data Assets


Metrics

Foundations

Business glossary

Business metrics Tools

Data sources

Data quality



Technology

Azure

• Student Load Planning

• Scorecards

On premise

UNSW Network

AWS

Information HubSAS BI &

Data Warehouse


Future directions

• Transition from legacy data warehouse to new analytics platforms

• Predictive analytics • Realtime analytics• Data lakes • Data science• Data wrangling & Data engineering

Data underpins our digital transformation

What we’ve learned so far

1. Build slowly – don’t rush2. Bring the stakeholders along too3. Culture drives strategy4. Agile approaches work5. Collaboration matters6. Cloud makes everything easier


Thank-you

Kate [email protected]


mailto:[email protected]

Kate Carruthers, Chief Data Officer, University of NSW

Data & Analytics

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