Conference Sessions and Afternoon Workshops
December 6, 2017

Wednesday
December 6
7:20–7:50

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Come invigorate yourself, reduce stress, develop your mind, and learn about and practice meditation.

Len Silverston, who is not only a data management, data governance, and data modeling thought leader, but is also a fully ordained Zen priest and spiritual teacher, will provide this brief overview of what meditation is, why it is important, how to meditate, and lead a sitting meditation and moving meditation (Qigong) session.

Some ask, ‘What does Zen have to do with data governance’. The answer is ‘everything’. Find out why.

This will be an enlightening, wonderful session to start your day in a relaxed and receptive state of mind!

Wednesday
December 6
7:20–7:50

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To solve this puzzle we narrowed our focus to the "manage data assets" question, pooled and re-examined our own successes and failures, studied models of innovation, diffusion, and disruption, conducted an extensive root cause analysis, compared interim explanations with progress in other fields, and were brutally honest in testing these explanations among ourselves.

The answer was not what we expected.

Please attend this session to:

• Hear our answers – The Leader’s Data Manifesto
• See how our research results and the manifesto can help your data governance efforts

Level of Audience:
All Levels

Wednesday
December 6
8:00–8:45

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What You Will Learn:

• Common challenges that bland data governance programs face and how to avoid them
• Techniques for reinvigorating business and IT
• How to bake data governance into everyday business
• Methods for incorporating new ingredients such as cloud and big data
• Healthy habits in the data governance

Wednesday
December 6
8:00–8:45

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This presentation will address:

• The team’s process from data discovery through stewardship.
• Why data governance focused on a descriptive cataloging of the universe of data.
• How data value emerges from giving data a new context.
• Lessons learned about helping a data governance effort to thrive and adapt in the face of change.

Level of Audience:
Intermediate

Wednesday
December 6
8:00–8:45

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Janssen has taken the Identification of Medicinal Products (IDMP) mandate as its impetus to implement a Data Governance program to assure that the requirement is addressed.  In this presentation, we will share our experience in the following areas

• What is the IDMP Regulation?
• Challenges to complying
  • Data in different formats and locations, multiple systems of record for the data
  • Lack of ownership
  • Moving from a document based data collection into a MDM based approach to compliance
  • Resistance to change
• How we addressed these challenges

Level of Audience:
Intermediate

Wednesday
December 6
9:15–10:00

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Specifically we’ll discuss:

• The importance of a solid framework.
• Council responsibilities vs decision making bodies for data management for maturity.
• Consistent communication for lasting commitment and data ownership.
• Managing Data Quality exceptions.
• Shifting from results to value with a sustainable program.

Wednesday
December 6
9:15–10:00

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The advancements in science and new technologies like 3D printing, unmanned vehicles, etc. are not only transforming businesses, but also changing the world around us. It's time to look beyond data as an organizational asset and focus more on its transformational capabilities.

Today's data is a lot more dynamic, humungous, moves faster and is easy replicable. Ensuring proper management of such data requires rigor and a dedicated Data Governance team. However, often times, businesses focus their spending on transformation activities and not enough rigor is placed on Data Governance until much later.  

Looking at "Data as a Transformational Asset" helps business understand that "data" is one of the key components of transformation that need to be well governed. This also means, proactively identifying data within the organization that may provide insights on how a business can grow & transform and going soup to nuts over its governance is extremely critical.

In this session you will learn:

• Organizational transformation types, key considerations and the role of Data Governance
• How to explain fundamental concepts of Data Governance to Executives as well as to a layman.
• What is "Key Transformational Data" and how to identify it?
• "Data Governance  Approach - Incubate, Accelerate & grow" - an approach anyone can follow

Level of Audience:
Intermediate

Wednesday
December 6
9:15–10:00

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As the winner of the first annual Stewie Award, Barbara Deemer has been successful as the Chief Data Steward of Navient for the last 8 years. Attend this session to hear her practical advice and lessons learned. Topics to be covered include:

• Facilitating the DG Council and maintaining business participation - The good, the bad, and the ugly!
  • Criteria for data steward selection
  • Roles and responsibilities of data stewards
• Perpetual training and mentoring of data stewards
• Promoting the DG strategic, corporate vision through project level involvement
• Data issue reconciliation - herding the cats!
• Data standardization - building group consensus
• Assisting business areas in documenting business value
• DQ Dashboard review - how to engage the business in root cause analysis and error remediation
  

Level of Audience:
Introductory

Wednesday
December 6
10:10–10:40

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From the industry’s most trusted name in data comes a new, innovative enterprise data governance solution. In this product introduction session, we’ll share an exciting preview of erwin’s DG solution – the market’s only data governance application designed to deliver an enterprise data governance to more than just the IT and data stewards in your organization.

In this hands-on session, we’ll look at highlights of erwin DG including:

• Support for Any2 Data – relational, unstructured, prem, cloud
• Powerful Integrated Capabilities - Business Glossary, Data Dictionary, Data Catalog, Lineage Mapping and Policy Authoring
• Configurable Role-Based User Interfaces – Dashboards, KPIs, Communities and Favorites
• Key Integrations with Enterprise Architecture, Business Process Modeling, Data Modeling
• Managed Collaboration - Defined Workflows, Notifications and Discussions
• SaaS deployment – rapid deployment, low TCO, fast time to productivity

It’s a session you won’t want to miss.

Level of Audience:
All Levels

Wednesday
December 6
10:10–10:40

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Level of Audience:
All Levels

Wednesday
December 6
10:50–11:35

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For many years Micron has had many stops and starts in their data management efforts. In the past year, they have invested into building a true world-class data governance program. In this case study attendees will learn the best practices that Micron is using to expand their data governance program into an enterprise wide activity. In addition, Micron has learned that metadata management is an absolute requirement for successful data governance.

• Micron’s Data Management Journey
• How to Prepare Executives for Enterprise Data Management
• Data Governance and Metadata Management Synergy
• Selecting a Metadata Management Tool
• Realities of Implementing a Metadata Management Tool
• Building a Subject Area Model for Data Governance
• Defining Key Data Governance Work Flows
• How to Sell Data Management to Business Executives
• The Future of Data Governance and Metadata Management at Micron

Level of Audience:
Intermediate

Wednesday
December 6
10:50–11:35

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Many organizations take the “top-down” approach to their data governance programs and think big from the onset. While this method can work in some cases, the complexity, cost, and enterprise-wide scope often prolong the initiative and drive it over budget.

In this presentation, the focus will be on the benefits of “bootstrapping” your data governance program – choosing projects, processes, or business domains experiencing the most pain, and therefore the most in need of data governance, before expanding to the business as a whole.

Topics to be covered will include:

• Growing the initiative iteratively from the bottom-up
• Focusing your initial efforts on the grassroots level: the business users who are closest to the data
• Documenting the procedures you create and incorporating them into the core policies and procedures
• Managing the balance between the desire for C-level involvement and the need to continue building from the grassroots level

Level of Audience:
Intermediate

Wednesday
December 6
10:50–11:35

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This session will focus on:

• Establishing a set of standards and processes to ensure reference data is formally managed throughout the enterprise within a transparent environment that supports the Data Community and aligns to the DHS Data Governance policies

• Formally appointing and supporting data stewards -Reference Data and Domains

• Long term and short goals

• How stewards can become the authoritative source for data request and information sharing

Level of Audience
Introductory

Wednesday
December 6
11:45–12:30

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Takeaways include:

• If you had to start over again what would you do differently
• Overcoming roadblocks
• How to address the ongoing challenges on an established program
• Tips for continued data governance success

Wednesday
December 6
1:30–4:45

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This workshop presentation will provide 7 essential data governance artifacts that you can adapt to your organization’s culture and structure.  Having these key artifacts at your fingertips will allow you to rapidly and smoothly respond to program inquiries, challenges, and organizational changes with continued growth and maturity.

Participants will leave the workshop with a collection of artifacts that can provide real world success.  Usable, detailed templates and processes will be provided and examined, based on the real-world experiences in data governance and data quality with major organizations.  Attendees will be able to customize these artifacts to suit their organization's needs and culture.

Learning Objectives will include:

• Developing Data Governance as part of Enterprise Data Management Framework
• Creating Essential Data Governance and Data Quality Artifacts
• Measuring the Success of Data Governance and Data Quality
• Sustaining a Data Governance Program with Essential Artifacts and Processes
• Challenges to a Successful Data Governance Program
• Adapting for Cultural Change with Data Governance

Level of Audience:
Intermediate

Wednesday
December 6
1:30–4:45

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In many data governance efforts, there are critical human behavior elements that often are not addressed and for which we are even unaware. These are often what makes the difference between failure and success. 

For instance, how would you respond to: “We completely support enterprise wide data governance. However, we, on this project, have very tight deadlines and budgets so we’ll work together as long as you don’t impact our deadline dates, tasks, resources, or budgets in any way.”

This workshop will discuss key aspects of data governance, share what has worked and not worked in many case studies, and provide techniques and exercises to address the ‘human side’ of data governance.  

Specifically, this workshop will address:

• Charters, purpose, and clear intention to get real buy-in
• Beyond roles and responsibilities to core motivations
• Communication techniques to understand needs and issues
• Trust frameworks to facilitate issue resolution and common data semantics
• Addressing conflict with awareness intervention
• Applying wisdom to set and achieve metrics

For each of these areas, the course will share important techniques, tools, and frameworks which involved the human aspects of data governance and how to be aware and mindful of critical elements for data governance success.

Level of Audience
Introductory

Wednesday
December 6
1:30–4:45

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Attendees to the tutorial will learn:

• What the GDPR is, how it came to be, and where it fits with other initiatives
• The impact of data governance and data management
• What the Data Governance function must do to ensure compliance
• The role of methodology, organization, and technology in meeting the challenge of GDPR
• Where data privacy is going, and how to anticipate future changes

Level of Audience:
Intermediate