Tutorials and Afternoon Conference Sessions
November 14, 2016

Monday
November 14
8:30-11:45

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This requires effective communication of data policies and associated guidance across line-of-business boundaries, as well as repeatable processes for organizing data requirements for all key data concepts across the organization. Assessing the breadth of data requirements and expectations from across the line of business landscape is key, as is ensuring consistent observance of those requirements through the design, development, and implementation phases of the system development life cycle.

In this tutorial we will also look at some practical operational aspects of data governance and stewardship, such as documenting data standards, harmonizing business term definitions and semantics, and methods for monitoring of observance to data expectations.

Attendees will learn about:

• Drivers for data governance
• Organizational operating model for data governance
• Roles and responsibilities
• Collecting data requirements
• Processes for defining and approving data policies
• Oversight of common reference data concepts
• Defining measurable metrics
• Operational data stewardship
• Data governance reporting

Level of Audience:
Introductory

Monday
November 14
8:30-11:45

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Topics to be covered include the following:

• Selecting target data domains based on the Enterprise Logical Data Model
• Identifying, training and certifying data stewards
• Agreeing on Critical Data Elements
• Documenting data policies and standards
• Managing a business glossary
• Leveraging metadata for data lineage and impact analysis
• Documenting business rules
• Implementing a data quality program including issue resolution
• Managing master data rules for data quality, data validation, match/merge and consolidation
• Governing reference data
• Managing information security
• Implementing acceptable use standards and data sharing agreements
• Developing data governance dashboards

Level of Audience:
Intermediate

Monday
November 14
8:30-11:45

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This tutorial will go through the “top ten” challenges to successful deployment of big data and analytics efforts. 

For each change, we will cover:

• A detailed example of the challenge
• Root cause analysis
• Data governance activities that remediate the challenge
• Guidance on how to integrate the activities into your current DG program, or initiate a new DG program with these activities   

Level of Audience:
Intermediate

Monday
November 14
1:00–4:15

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In this tutorial Bob Seiner addresses the three tiers of a successful Business Glossary strategy and the governance components required to produce and maintain the value of the metadata. Bob will also address the use of tools in the strategy and the business requirements of tool selection. Compare your strategy to the one presented in this interactive session highlighting successes and impediments.

In this session Bob will discuss:

• Semantic, business and technical tiers of a Business Glossary strategy
• Critical metadata associated with each of the tiers
• Resources required to build and implement the Glossary
• Processes associated with governing the Glossary
• Use of tools and tool selection requirements

Level of Audience:
Intermediate

Monday
November 14
1:00–4:15

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Too many data governance and information management programs end up as “shelf-ware”.  This is expensive and disheartening. It is common to recognize that the main reason is failure to manage the required changes in behavior. Implementing new policy, accountability and responsibility requires specific planning and oversight.  Data governance will not succeed without managing the changes and leveraging your culture.

This tutorial is specifically aimed at planning the sustaining EIM programs, especially data governance. This includes an organization change management effort unique data governance, data quality and other programs. This class will cover in detail the barriers to overcome and sustain the many efforts and initiatives required for successful data governance. 

Attendees will leave with a basic tool kit for developing their own organization change management plan for DG, but this effort can be applied to MDM or any other sub-discipline of EIM. 

Class topics: 

• The basics of organization change and cultures
• Specific issues of change with data governance efforts
• Prescribe activities to deal with obstacles and issues 
• Creating the business case for Organization Change Management (OCM)
• Building the change plan
• Building and maintaining the change team

Level of Audience:
Introductory

Monday
November 14
1:00–4:15

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This tutorial will provide insight into:

• Why the "business" should be leading and driving Stewardship within an organization
• How to establish a strong, sustainable stewardship community within your organization
• Who should be considered a data steward and what does a good one look like
• What it really means to be a Data Steward within an organization - their roles/responsibilities
• What good data stewardship looks like
• Steps you can take to engaged, educate and train Data Stewards for the long journey

Level of Audience:
Introductory

Monday
November 14
4:30–5:20

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This session will cover the following:

• Understand change management in your organization
• Sponsor support/engagement
• Development of clear and consistent messaging
• Provide interactive training to Data Owners and Stewards (make it real, connect to the person not just the role)

Level of Audience:
Intermediate

Monday
November 14
4:30–5:20

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Data is typically now a critical business risk in itself, or a key mitigate for managing other critical business risks.

This session will discuss:

• Aligning Data Governance and Operational Risk policies
• Promoting a 'risk thinking' culture amongst Data Governance stakeholders
• Using 'risk language' to grab business attention and solicit business support
• Building hard links between Data Governance activities (e.g. DQ scorecards) and Operational Risk Registers
• Practical examples, from the presenter’s experience, to illustrate the interdependence between Data Governance and Operational Risk.

Level of Audience:
Intermediate

Monday
November 14
4:30–5:20

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Key Questions:

• Does the organization really understand what Governance means?
• Where do you start?
• Do you currently and /or are you ready to manage your data?
• How much change can the organization absorb?
• Is there a problem, where are the pain points?

Level of Audience:
Introductory

Monday
November 14
5:30–6:15

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The purpose of this SIG is to provide a forum where data governance practitioners in the healthcare industry can interact with their peers and learn more about techniques and approaches that may be valuable in their own environments, particularly related to how Data can help address emerging needs in a rapidly changing industry. 

The focus of this session will be two-fold:

• To discuss how changes and emerging trends in healthcare are influencing data governance practices

• To listen to the issues and goals to understand how the SIG can continue to evolve and provide resources to support data governance efforts in healthcare and related industries (including insurance, pharmaceutical, supply management, etc)

We encourage you to bring your stories, questions, concerns, best practices and unique perspectives to share with your peers and help influence data governance in health care for the future.

Level of Audience:
All Levels