Data Quality Pro: Virtual Summit #2

Presentation 2:

How To Gain Business Buy-In for Data Governance by Nicola Askham

Over the past thirteen years or so, Nicola has learnt the right and wrong ways to go about gaining business buy-in for data governance.

In this presentation, she shares her best advice on the topic and shows how to articulate the benefits of data governance in a meaningful way.

Topics Include:

• What is Data Governance?
• Generic Benefits of Data Governance
• Translating Generic Benefits into Benefits that are relevant to your organisation
• Top Down or Bottom Up approach?
• Creating a Conceptual Data Model

Presentation 3:

Data Governance by Stealth? by Chris Bradley

In this presentation, world-renowned information management expert, Chris Bradley, explores an alternative strategy for Data Governance.

Join Chris as he teaches how to ‘fly under the radar’, building your Data Governance capability in phases and aligning disparate centres of excellence to construct a robust framework and strategy for Data Governance.

Some of the topics include:

1. What is Data Governance?
2. Data Governance – a simple definition
3. Why is Data Governance critical?
4. The impact of poor Data Governance
5. Case studies of poor Data Governance
6. The impact of poor data
7. Drivers for Data Governance
8. A framework for Data Governance
9. Organisational Models for Data Governance
10. Getting started in chunks
11. Connecting the islands of excellence
12. How to avoid Data Governance ‘knockout blows’
13. Bite-sized Data Governance: Summary

Presentation 4:

Becoming a Data Driven Organisation: Aligning Business & Data Strategy by Donna Burbank and Nigel Turner

In this presentation, information management experts Donna Burbank and Nigel Turner, provide a deep-dive into the practicalities of creating a data strategy that perfectly aligns to your business goals.

Topics include:

• Components of a Data Strategy
• The DMBOK Framework
• Building an Enterprise Data Strategy
• The Interdependency of Business and Data Strategy
• Transforming the Business Through Data
• Creating a Business Motivation Model
• Case Studies: What Works in Real Life?
• Roles and Culture in a Data Strategy

Presentation 5:

Data Governance and Data Quality: A Keystone to a Successful Data Transformation Process and Strategy by Eric Callmann

In this presentation, Director of Data Operations and Strategy, Eric Callmann, walks the viewer through the Data Transformation Process of Platts and how Information Governance forms a central hub to the entire process.

Some of the topics include:

• Which data quality dimensions Platts are using to ensure high quality foreign exchange data
• How normalization helps extend the value of the data
• The key activities of information governance at Platts
• The end-to-end process of validations and checks that Platts use to ensure high quality throughout the data transformation process

Presentation 6:

Growing Data Governance by Dalton Cervo

In this presentation, author and expert practitioner, Dalton Cervo outlines situations where Data Governance is required and gives practical ideas for its implementation.

Topics include:

1. The different data structures
2. The main categories of data
3. DG Focus Areas
4. Horizontal vs Vertical Functions
5. Top-Down Data Governance vs Middle Out vs Bottom-Up
6. Data Governance in Decision-Making
7. Data Integration in MDM
8. Discovering the Statement of Record (SOR)
9. CRUD management
10. Data Stewardship and Data Governance
11. Metadata Management and Data Governance
12. Data Quality and Data Governance

Presentation 7:

Little Data in a Big Data World by Laura Sebastian-Coleman

In this presentation, data quality expert and author, Laura Sebastian-Coleman explores the data quality challenges in healthcare and their impact on Big Data initiatives.

Topics include:

• The promise of Big Data in Healthcare
• Challenges with the quality of healthcare data
• Academy health examples
• Science, commerce and data quality implications
• Butterfly effect in data quality
• Making good on promise of healthcare data analytics
• Recognising and reducing variation in data quality

Presentation 8:

Getting Started with ISO 8000 by Peter Eales

As a member of the ISO 8000 standards development committee and in-demand ISO 8000 consultant, Peter has an unrivalled view on the practical implementation and application of ISO 8000 in industry.

In this presentation, Peter looks beyond the theory of data standards to share practical, actionable insights, of how to implement ISO 8000 in a commercial setting.

Presentation 9:

Reaching for the Sky: The Quest for Data Accuracy by Jon Evans

Jon Evans, Information Strategist and founder of Equillian provides practical advice for measuring and managing data quality accuracy.

Key topics include:

1. What do we mean by data accuracy?
2. Techniques to help measure data accuracy
3. Understanding why data accuracy is so elusive
4. Learning how to improve data accuracy

Presentation 10:

How to Improve Revenue Through Data Quality Management by Dylan Jones

• Scoping the audit
• Setting clear objectives
• Creating the team
• Sourcing the necessary technology
• Methodology for performing the audit
• Presenting the findings,, outcome and recommendations
• Making improvements based on the audit

The methodology can be applied for non-Utility organisations and leverage for a broad variety of use cases, not just audit assessments.

Presentation 11:

Next Generation Data Strategy by Rajesh Jugulum

In this presentation, data quality and Lean Six Sigma author, Rajesh Jugulum, provides practical ideas for aligning your data strategy with a corporate strategy in order to create higher levels of data quality.

Some of the topics include:

• Creating an Enterprise Data Management Framework
• How to align corporate requirements with data requirements
• How to integrate the data quality decomposition framework into the data strategy
• How to discover the functional requirements of a data strategy
• The foundational capabilities of data quality
• How to prioritize your Critical Data Elements (CDE’s)

Presentation 12:

Understanding Privacy Impact Assessments for Information Governance, Quality, Ethics and Success by Daragh O Brien

This session is about Privacy Impact Assessments, Ethics and Governance and how we can use or adapt existing tools and frameworks to help us address the new challenges such as GDPR that are emerging.

Daragh explores how modern architectures, such as Big Data Analytics, are impacting the privacy of consumers and regulatory directives.

Topics include:

1. The importance of planning
2. What do we need to plan?
3. The curse of the mad data scientist
4. Examples of data quality trainwrecks
5. Privacy by design – the architecture required
6. Key functions of privacy engineering
7. Creating a plan for Privacy by Design and Privacy Engineering
8. Privacy Impact Assessments – What are they?
9. Privacy Impact Assessments – Where in the PMBOK life cycle?
10. The cost pyramid
11. Why do a Privacy Impact Assessment?
12. The decision thresholds of a Privacy Impact Assessment
13. 6 step approach to Privacy Impact Assessments
14. Data Commissioner viewpoint of Privacy Impact Assessments
15. FMEA – Failure Mode Effects Analysis
16. Privacy Impact Assessments – The Ethical Dimension

Presentation 13:

Ethics in Information Governance by Katherine O'Keefe

In this presentation, Katherine O’Keefe discusses:

1. Ethics and their relevance to Information Management Practices
2. Developments in new technology and how that relates to human rights and privacy
3. A brief overview of ethical first principles
4. A framework for ethics in Information Management
5. An overview of practical methods to align ethics with Information Governance – looking at risk management and Information Management practices