Conference Sessions - June 14, 2017

Wednesday
June 14
7:30
–8:30
Registration and Continental Breakfast
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Wednesday
June 14
7:45–8:15

 

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Zen with Len
What Does Zen Have to do With Data Governance. The Answer is "Everything". Find Out Why

Kensho Len Silverston


Meditation, Qigong (moving meditation), and Talking Meditation (The what, why and how of meditation)
Prepare yourself and your mind for the day so you can make the most of it!

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!

Level of Audience
All Levels

Speaker:
Len Silverston Kensho Len Silverston

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Wednesday
June 14
8:30–9:15

 

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Institutionalizing Data Governance within Business Architecture and Organizational Processes
Alan Rezazadeh, Data Governance Consultant, Digital Oil Consulting

Data governance is typically characterized by defining roles and responsibilities, decision making authorities, issue management processes and a set of business processes to govern data management activities. Meanwhile, Business Process Management (BPM) initiatives traditionally have been used to improve efficiency and streamlining processes among enterprise departments and personnel. Incorporating data governance requirements into business architecture and organizational processes formalizes data governance into organizational daily activities and operations. Therefore; BPM initiatives can be considered valuable tools to embed data governance into business architecture.

The author presents a case study of implementing a data governance program within a data management project by the means of defining the operational business processes in conformance to data governance requirements. Within the business processes, data governance requirements of stewardship, clarification of roles and responsibilities, segregation of duties, and decision making responsibilities were embedded. This presentation includes practical steps to merge the two practices of BPM and Data Governance; and discusses the implementation challenges in relation to organizational maturity levels.

Level of Audience
Intermediate

Speaker:
Alan Rezazadeh Alan Rezazadeh
Data Governance Consultant
Digital Oil Consulting

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Wednesday
June 14
8:30–9:15

 

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From Glossary to Governance 
Shannon Fuller, Director, Data Governance, Carolinas HealthCare System

This session will focus on establishing and utilizing a Business Glossary/Catalog to drive your Governance Program., by establishing definitions and standards for the data available, so that we know what we have, where it sits and that it is of high quality.

We will discuss:

  • Is everyone in your organization on the same page
  • Facilitating terminology & reference data standardization
  • Increase information quality
  • How does a common language affect security and privacy?

Level of Audience
Introductory

Speaker:
Shannon Fuller Shannon Fuller
Director, Data Governance
Carolinas HealthCare System

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Wednesday
June 14
8:30–9:15

 

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Mine, Yours & Ours: Governance in the Open, Self-Service Era
Kimberly Nevala, Director, Business Strategies, SAS

Data, data, everywhere. Data lakes. Self-service BI and analytics. The citizen data scientist. The new information environment is fast-paced, open and dispersed. Data science and the adoption of emerging capabilities such as machine learning and the IoT are challenging traditional approaches to information management and delivery. Likewise, traditional approaches to information and data governance are no longer sufficient. A new mindset and practices are required to enable the agile, rapid, and self-enabled data environments your constituents and enterprises require to thrive in the brave new data-enabled era.

In this session we will explore the implications of these emerging trends. And, better yet, critical changes in the thinking and approaches to governance required to engage, rather than alienate, a broad and diverse constituency.

Join us to learn:

  • Pros and cons of traditional governance approaches/mindsets
  • The difference between a deficit- and resource-based approach to enablement
  • Emerging best practices for information and data governance in the new era

Level of Audience
Advanced

Speaker:
Kimberly Nevala Kimberly Nevala
Director, Business Strategies
SAS

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Wednesday
June 14
8:30–9:15

 

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A Penny for Your Thoughts, When You haven't got a Dime
Michael Kelly, Chief Data Officer, University of South Carolina
While many business leaders have invested readily in data governance, professionals in resource-constrained industries and the public sector often struggle for resources to get initiatives off the ground.  Even when the potential is apparent and the outcomes are highly desirable, gaining executive support for data governance can seem hopeless.  If you are convinced that data governance can address organizational challenges but you haven't yet won support for the effort, this session is for you. 

We will identify opportunities and explore strategies to help secure resources and investment within your organization including:

  • Establishing a programmatic framework
  • Affirmation of competing priorities
  • Capitalizing on stewardship activities
  • Building coalitions with and between lines of business
  • Incident management
  • Leveraging audit findings
  • Demonstration projects
  • Strategic planning

Level of Audience
Introductory

Speaker:
Michael Kelly Michael Kelly
Chief Data Officer
U niversity of South Carolina

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Wednesday
June 14
8:30–9:15

 

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A Practitioners Journey to Effective Agile HR Data Management and Enterprise Data Governance
Steve Wagner, Enterprise Data Architect, Consumers Energy
Brenda Brown, Director of Workforce Technology and Analytics, Consumers Energy
Data quality improvement is one pathway towards a disciplined enterprise data management and governance organization. Our journey started with our HR department needing to improve the low data quality data experiences various departments encountered with our Employee master data. We found to achieve a higher quality outcome requires changes that span people, process, operations and often technology. What started in HR has become a journey at Consumers Energy oriented around Data Driven Decisions. Our destination is to reach higher quality outputs that are verifiable and sustainable. We must achieve this through leveraging our existing skill sets.

This session will layout the tactical framework we employed for achieving effective data management practices that are sustainable and that empower the function of data governance over Employee master data. We will detail the approach for how we went from a hero driven, chaotic suite of activities to a standardized process that measures execution performance and quality outputs. Attendees (data owners, stewards and sponsors) will walk away from this session with the ingredients and a recipe for establishing a working practice of data management in a complex environment. The discussion will dive into the details of the working model we employ, its inputs, outputs and outcomes. In the session, we’ll discuss the hurdles and quick successes in our business-driven journey of agile HR data management and enterprise data governance practices.

Level of Audience
Intermediate

Speakers:
Steve Wagner Steve Wagner
Enterprise Data Architect
Consumers Energy

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  Brenda Brown Brenda Brown
Director of Workforce Technology
and Analytics
Consumers Energy

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9:15 - 9:45 Coffee Break and Exhibits Open
9:45 - 10:15 DATA GOVERNANCE AND IQ SOLUTIONS

Wednesday
June 14
9:45–10:15

 

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Data Governance Adoption on a Global Scale
Ryan Steele, Director, Amberleaf

Data Governance initiatives are expensive, resource intensive, and even technically complex.  The amount of hard work and coordination across IT and business functions is insurmountable.  Consequently, if data governance initiatives are not adopted and utilized the cost to the organization in real dollars and missed opportunities is insurmountable.  This presentation will take about the trials, tribulations, and solutions of rolling out data governance to a global enterprise. Though we will talk about the technical solution, we will provide an in depth look at the tactics to drive adoption, change processes, and change the mind set of an organization to treat data as a competitive asset instead of an inconvenience.  We’ll talk about how the benefits of data lineage, business glossary, reference data management, and data quality processes were advertised and realized.

Level of Audience
All Levels

Speaker:
Ryan Steele Ryan Steele
Director
Amberleaf

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Wednesday
June 14
9:45–10:15

 

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Data Governance for Digital Transformation
Cam Ogden, VP of Solution Management, DATUM

Digital transformation is real.  And it is at the heart of achieving the single view of the customer and improving speed to market. Join Cam Ogden, DATUM VP of Solution Management as he walks through balancing a combined set of use cases across analytics, operations and compliance to execute on a digital transformation. Cam will share how proven practices have shaped an end-to-end data governance platform that rapidly engages business through the discovery of data assets, integrated performance management and process optimization.

This session focuses on real world examples of how today’s leaders like Johnson & Johnson and Under Amour are able to deliver more successful products, faster with DATUM’s data governance and stewardship platform, Information Value Management®. Cam will also address how DATUM provide clear data valuation methods for prioritization and sustainment of stewardship and governance efforts.

Level of Audience
All Levels

Speaker:
Cam Ogden Cam Ogden
VP of Solution Management
DATUM

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Wednesday
June 14
9:45–10:15

 

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Governed and Self-service Data: Better Together
Scott Gidley, VP of Product Management, Zaloni

Today’s companies need actionable insights that are immediate. It is no longer feasible to wait weeks, even months, on IT to prepare business-critical data. Data lakes done right can enable you to view your entire data catalog at a moment’s notice and apply self-service transformations to that data. These interactions are key to providing a quick, clear understanding of business needs. But enterprises have a legitimate concern regarding data lake governance issues such as data privacy, data quality, security, and lineage. How do you marry both - how do you provide governed self-service to data in the data lake?

In this presentation, Ben Sharma, CEO of Zaloni, will highlight the benefits of governed self-service data and will provide a brief demo of Zaloni’s Data Management, Governance and Self-service Platform.

Level of Audience
All Levels

Speaker:
Scott Gidley Scott Gidley
VP of Product Management
Zaloni

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Wednesday
June 14
9:45–10:15

 

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Your Worst GDPR Nightmare: Unstructured Data
Josh Stageberg, Sr. Director, Veritas

There’s no question that organizations across the globe are ramping up their efforts to prepare for the EU’s expansive General Data Protection Regulation.  In a recent Veritas survey, over 92% of organizations admitted some degree of preparation, yet only 53% are confident they will be GDPR-ready when the go-live date hits in May 2018.  Most organizations are launching their readiness efforts focused on structured data—the data they are most familiar with and have the most control over.  The problem is that structured data only makes up one-fifth of all the data in a typical enterprise environment…what are these organizations going to do about the other 80% of unstructured data?
 
GDPR (and the stiff penalties that come with it) is the forcing mechanism that will finally drive organizations to take a proactive governance posture when it comes to unstructured data.  This session will explore the key steps required for accelerating GDPR readiness by locating, searching, minimizing, protecting, and monitoring unstructured data.  By attending this session, you will learn best-practices for staying off the regulator’s hit list and establishing the most effective workflows for ensuring ongoing unstructured data compliance.

Level of Audience
All Levels

Speaker:
Josh Stageberg Josh Stageberg
Sr. Director
Veritas

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10:15 - 10:45 Coffee Break
10:45 - 11:30 CONCURRENT SESSIONS

Wednesday
June 14
10:45–11:30

 

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Don’t Get Ambushed By New Privacy Laws
William Tanenbaum, Head, Tech Transactions, Arent Fox LLP

The session provides these takeaways:

  • Learning which new and proposed privacy laws apply to your data operations
  • How all privacy is contextual
  • Identifying buried operational risk
  • How to get counsel to say "yes
  • How the Safe Harbor was replaced by "Privacy Shield" and its new qualification requirements
  • The US impact of the GDRP - the new European "General Data Protection Rule"  which replaces the EU Directive
  • The conflicting rules of the FCC and the FTC
  • Why CDOs and CAOs need to be involved in outsourcing RFPs.

You will learn:

  • Avoiding delivering risks and liability to your company because you are bushwhacked by new regulations
  • What is counter-intuitive for smart people
  • Traps for the unwary
  • Advancing your career - or not

Level of Audience
Intermediate

Speaker:
William Tanenbaum William Tanenbaum
Head, Tech Transactions
Arent Fox LLP

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Wednesday
June 14
10:45–11:30

 

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Data Governance.  How to Overcome the 'We've already tried this' Push Back from your Stewards and SMEs
Cheri Mallory, Director Information Management, Method360
Michael Grosky, Director, Data Governance, Lam Research

The Data Governance initiative is funded, but very few stewards and SMEs want to participate.  The role of data steward is recognized as a 'hot potato'.   We will share the approaches we took to impact the culture, including:
  • Gaining executive approval for resources to participate
  • Getting a clear understanding of the difference between being an 'owner' and a 'steward'
  • The role of good data analysis to 'prime the pump' for stewards
  • Communicating the value of the program, and how it is different from the past approaches

Level of Audience
Introductory

Speakers:
Cheri Mallory Cheri Mallory
Director Information Management
Method360

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  Michael Grosky Michael Grosky
Director, Data Governance
Lam Research

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Wednesday
June 14
10:45–11:30

 

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Managing Data Governance in Your Data Lake 
Sherri Adame, Enterprise Metadata Leader, CIGNA

The Cigna Enterprise Data Management team (EDM) continues to focus effort on managing Cigna's Data as a Corporate Asset.  Launched in 2015, Cigna's enterprise data lake project is taking the company on a data governance journey.  In the last year the team has implemented an end to end data governance process that is making more efficient the data preparation cycle for analytic and business intelligence developers by managing metadata, outputting  data quality profiling results and automatically connecting the metadata and data quality statistics to the data. Cigna’s data management and governance teams are eliminating silos of activity and creating a common thread of activity, based on a shared platform of metadata, to connect and align activities across technical teams and business processes.

Level of Audience
Introductory

Speaker:
Sherri Adame Sherri Adame
Enterprise Metadata Leader
CIGNA

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Wednesday
June 14
10:45–11:30

 

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What Lies Beneath: Bringing Data Quality to Local Government
Robert Davis, GIS Analyst, MGP, Inc
Lauren Walcott, GIS Specialist, MGP, Inc


Local governments are charged with governing their communities, but what happens when the tables are turned and they need to govern themselves?  Municipalities have been collecting data since day one, but in today’s information age how can this data be used for making informed decisions if there is no data governance in place?  Technology can be a great tool to help improve data quality but we believe that people drive success.  We will be discussing how we brought data governance to the rough and tumble world of local government, focusing on underground utilities and the Public Works Department, and how you can use these same tools and techniques to begin your data quality journey. 

What you will learn:

  • Tools and tactics for enrolling staff in data governance
  • How to define Roles and Responsibilities for your organization
  • How to determine who is responsible for data
  • Why trust is important for a successful data governance initiative
  • Why trusted relationships precede new technology adoption

Level of Audience
Introductory

Speakers:
Robert Davis Robert Davis
GIS Analyst
MGP, Inc

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  Lauren Walcott Lauren Walcott
GIS Specialist
MGP, Inc

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Wednesday
June 14
10:45–11:30

 

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Talent Shortage: This Era of DQIG Requires New Collar Skills; How to Build a Team of Hybrids
Ken Jacquier, Information Governance Practice, IBM

DQIG teams are being faced with even greater tasks than in previous years. The scope now often includes structured and unstructured data.

The appropriate governance is required to drive Business Agility while still Managing Risk.

Solutions must be both On premise and in the Cloud. Change management and communication skills continue to grow in importance for DQIG professionals. Do you have the right skills in your current teams to exceed these expectations? Do you have a plan to deal with the talent shortage in the marketplace in the Data space? This session is designed to quickly outline the challenge and explore the critical role of a Hybrid employee confident both in the technical and business aspects of DQIG work. We will share ideas and discuss options for accelerating the skills of current team members, developing Hybrid employees in a more sustainable manner and leveraging all the generations in the work force more effectively. We will discuss the critical roles of our schools and universities and how to identify unique skill sets and profiles for our critical work. Finally, we will not ignore the tactical importance of partnering with HR to make DQIG the hot spot to work in the company and one with a clear path for career growth and high employee satisfaction ratings.  

Level of Audience
All Levels

Speaker:
Ken Jacquier Ken Jacquier
Information Governance Practice
IBM

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11:30 - 1:00 LUNCH AND EXHIBITS CLOSE AT 1PM
1:00- 1:45 CONCURRENT SESSIONS

Wednesday
June 14
1:00–1:45

 

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ISO, Data Quality, and Data Governance – Standards are coming, Be Aware or Beware?
John Talburt, Professor, University of Arkansas at Little Rock

This presentation discusses the International Organization for Standardization’s (ISO) recent initiatives to develop the ISO 8000 family of standards for data quality, and soon, for data governance. The first standard ISO 8000 Part 110 was very specific to standards for moving of master data between systems. However, now the scope has broadened considerably to include DQ practice in general.

In the presentation we will discuss:

  • A brief history of the ISO 8000 standard since its inception in 2009,
  • ISO’s approach to data quality standards,
  • What is in the parts of the standard that are already approved,
  • What parts of the standard are still in the pipeline, and
  • Future plans to expand the standard to Data Governance

If you want to get up to date on ISO DQ standards, learn who is involved, understand how it could impact you and your work, and how you can become involved, you should attend this session.

Level of Audience
Introductory

Speaker:
John Talburt John Talburt
Professor
University of Arkansas at Little Rock

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Wednesday
June 14
1:00–1:45

 

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Best Practices for Data Naming and Defining
Sonya Edwards, Education Administrator, California Department of Education
Michael Kryshak, Associate Governmental Program Analyst, California Department of Education

This session will feature tips and tricks for establishing data standards to maximize data quality and utility while minimizing confusion. Through interactive exercises, participants will learn about and practice strategies for developing data standardization policies and protocols. Participants will also learn about pitfalls to avoid when developing new data definitions or refining/standardizing existing ones.

At this presentation, participants learn about:

  • Pitfalls to avoid when naming and defining data
  • Steps to establishing data standards
  • Characteristics of a good data name/definition
  • Maximizing data utility and minimizing confusion through data standards

Level of Audience
Introductory

Speakers:
Sonya Edwards Sonya Edwards
Education Administrator
California Department of Education

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  Michael Kryshak Michael Kryshak
Associate Governmental Program Analyst
California Department of Education

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Wednesday
June 14
1:00–1:45

 

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Improve the Adoption for your Data Governance Program
Lowell Fryman, Practice Principal, Collibra

Does this sound like a challenge your team is facing? You’ve spend a great amount of time to prepare for the on-boarding of business units into the data Governance program.  Maybe you’ve had a very successful pilot project that tested out the governance policies and business glossary processes. You may even have a solid governance organizational structure with roles and responsibilities defined. Yet, you are challenged to drive business unit or functional unit adaption into the Data Governance program.

This seminar will present multiple options and alternatives that can be used to identify the business cases that will excite your business units to engage their participation in the Data Governance program. Many of the actual user cases that we have found to be successful and the techniques we have relied upon will be discussed.

The attendees will learn:

  • Over 20 alternative business cases that can be used to engage your business teams
  • Techniques for communicating the business benefits and outcomes of Data Governance
  • Techniques for defining metrics that drive adaption activities
  • Alternative for creating a agile “Playbook” approach for governance activities

Level of Audience
Intermediate

Speaker:
Lowell Fryman Lowell Fryman
Practice Principal
Collibra

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Wednesday
June 14
1:00–1:45

 

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Aligning a Data Governance Program to Key Strategic Objectives
Theodore Curran, Senior Director, Chief Data Governance Officer, UPMC Health Plan

Many strategic objectives in healthcare and insurance are tied to the use of data as a strategic advantage.  The presentation will identify new challenges and opportunities associated with a data governance program in these industries and how well-planned efforts can drive new efficiencies, opportunities and risk mitigation.  Tools such as a maturity assessment and business intelligence/metrics can truly put a flashlight on your data and processes.  The presentation will highlight lessons learned as effective data governance permeates an organization and the need for flexibility/adjustments as the business changes and program evolves.

Topics include:

  • Business Intelligence/Data Visualization
  • Establishing baselines and aligning efforts to goals
  • Data Governance Program Vision and Charter
  • Streamlining processes and removing bottlenecks
  • Improving risk management and controls, internal and external parties

Level of Audience
Intermediate

Speaker:
Theodore Curran Theodore Curran
Senior Director, Chief Data Governance Officer
UPMC Health Plan

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Wednesday
June 14
1:00–1:45

 

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How Fannie Mae Manages what is Truly Important
Shanthi Pudota, Director - Head of Enterprise Data management and Stewardship, Fannie Mae
Aya Smith, Data Management Analyst, Fannie Mae

While all data is important, it is necessary to make difficult distinctions between those data elements that are critical to business operations and thus need to have their data quality managed at an enterprise level and those data elements that need to be monitored at the local level.  This case study from Fannie Mae will present how that distinction is made at our company and who is responsible for ensuring high data quality.

We will present a framework for determining the Key Data Elements, how the risk of those elements are measured, identified, and mitigated and how that information is being used to manage data as it flows across the loan life cycle.

Level of Audience
Intermediate
Speakers:
Shanthi Pudota Shanthi Pudota
Director - Head of Enterprise Data Management and Stewardship
Fannie Mae

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  Aya Smith Aya Smith
Data Management Analyst
Fannie Mae

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Wednesday
June 14
1:00–1:45

 

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Mastering Information Excellence in the Digital Enterprise
Sue Waite, Director, Global Center of Excellence for Database and Data Management, SAP

Over 90% of the world’s data has been created in the last 2 years. Seems crazy, right?! Yet every organization is adjusting to deal with this flood of new data. Clearly, the data most critical to running your business must be intelligently managed. Yet how do we determine what role these new data sources should play in our efforts to find new ways to drive revenues and reduce costs? And manage that data accordingly? Join this session for a discussion on the "digital enterprise" to explore the role of information governance in supporting the transition. We will address these questions, explore the importance of quality, governed information in the digital age, and deliver practical advice to help you lead your organization.  

Level of Audience
All Levels

Speaker:
Sue Waite Sue Waite
Director, Global Center of Excellence for Database and Data Management
SAP

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1:45 - 2:00 Room Change
arrow2:00 - 2:45 CONCURRENT SESSIONS

Wednesday
June 14
2:00–2:45

 

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Six Steps to Addressing Data Governance under GDPR and US Privacy Shield Regulations
Jonathan Adams, Research Director, DATUM

In May of 2018 the European Union’s General Data Protection Regulation (GDPR) will go into effect. GDPR provides the legal framework for the protection of personal data for ANY individual based in the EU, regardless of citizenship, or where the data is being held. Based on this scope, the GDPR regulations are likely to impact most multinational companies. Additionally, the fines associated with non-compliance are significant and can be as much as 4% of global sales.

Organizations seeking to be ready in May 2018 will need to move quickly, if they have not already started. There are a multitude of considerations: policies, marketing programs, systems, operations and the overall information architecture. For many companies, this will involve a significant evolution in data ecosystem and practices.

This session provides a primer on GDPR, the required data management capabilities, and how governance will need to evolve for compliance, specifically:

  • What is GDPR, when and how does it affect my organization,
  • What are obligations under GDPR,
  • Core capabilities required,
  • Evaluating Risk as defined in GDPR, and
  • Six steps towards compliance.

Level of Audience
Introductory

Speaker:
Jonathan Adams Jonathan Adams
Research Director
DATUM

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Wednesday
June 14
2:00–2:45

 

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Creative Solutions for Building a Data Steward Community
Gena Nelson, Enterprise Data Architect, ONE Gas

Finding creative solutions starts with a vision and your imagination. Not every data steward candidate has the same problems or personality - learn to adapt and sell your strategy using fun and pragmatic techniques that lead to engagement and eagerness to be part of the movement.  This session demonstrates not only the approach but includes use cases and examples from the real world
  • Make it fun!
  • Keep it simple
  • Come at it from every angle - top down, bottom up and sideways
  • Start a movement with a few key data persons, layer in the 'governance pyramid when it makes sense'
  • Keep it going with incentives and results

Level of Audience
Introductory

Speaker:
Gena Nelson Gena Nelson
Enterprise Data Architect
ONE Gas

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Wednesday
June 14
2:00–2:45

 

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The Practicalities of Integrating Data Governance into Project Development
Jon Ruelle, Data Governance Program Manager, Pacific Life - Life Insurance Division
Gretchen Burnham, Data Management Consultant, First San Francisco Partners
Pacific Life Insurance Company, established in 1868, relies heavily on data to make decisions in an ever changing market. However, doing business well before the utilization of computers of any kind makes for an environment of complex system and data integration that can make navigating this data very difficult. Many in similar situations may ask “Where do we start”? This case study describes practical ways to gain traction in a data governance program by aligning to a large corporate project. This case study describes the tools and techniques used to kick start the data governance program at Pacific Life.

Attendees will learn:

  • The project structure necessary for success
  • How to collect information requirements within a project and how they relate to reporting requirements
  • The importance of Data Profiling/Data Analysis
  • Techniques to collect business definitions during the project
  • Tools utilized to capture project level documentation in a sustainable way
  • Significant financial savings

Level of Audience
Introductory

Speakers:
Jon Ruelle Jon Ruelle
Data Governance Program Manager
Pacific Life - Life Insurance Division

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  Gretchen Burnham Gretchen Burnham
Data Management Consultant
First San Francisco Partners

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Wednesday
June 14
2:00–2:45

 

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Blue Shield of California Provider Data Quality: Transitioning from Fines and Sanctions to Thought-Leaders in the Industry
Morgan Templar, Business Solution Architect, Blue Shield of California

Blue Shield of California undertook a very significant investment into our provider data quality and initiated a series of projects and infrastructure changes to eliminate data degradation within our integrations between systems and to implement measurement and improvement activities.  We implemented a robust data validation program and a provider education campaign.

We identified and adopted nine data quality dimensions and implemented four separate methods and locations for data quality measurement and improvement based on those dimensions.  We also developed real-time and retrospective monitoring tools to pinpoint information that did not transform successfully or according to our business rules at each integration point.  Finally we began conducting our own “secret shopper” telephone audits of information on our Find a Doctor portal asking questions as if we were a member seeking to make an appointment as our primary externally reported data quality measurement tool.

This presentation will cover real-world tactical efforts for long and short-term improvements in provider data quality and how the partnership between business operations and Information Technology led to successful outcomes.

Level of Audience
Introductory

Speaker:
Morgan Templar Morgan Templar
Business Solution Architect
Blue Shield of California

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Wednesday
June 14
2:00–2:45

 

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"You Cannot Inspect Ethics Into a Product": Ethics and Quality Management
Katherine O'Keefe, Data Governance & Privacy Consultant, Castlebridge Associates

"It's not enough to do your best; you must know what to do and then do your best".

Ethics are big news in the headlines recently.  Whether we’re looking at remarkable failures in ethics the ethical implications in Big Data processing or self-driving cars, it’s becoming more and more clear that we need to get this right. The challenge arises in moving from abstract discussion to practical application.

This session uses Deming's view of quality as a starting point to understand and implement ethics in Information Management. You’re already doing “ethics” whether you explicitly consider it or not.  The question is whether it is a “best efforts” production without the clear guidance of principles. Have you taken the time to consider what it is you’re doing? Is your organization’s leadership setting the tone from the top?  Do you have appropriate systems of management in place to support ethical decisions and actions?

Key takeaways for this session include:

  • An overview of Ethics and their relevance to Information Management practices
  • Three types of Normative Ethics in organizations
  • How W. Edwards Demings’ 14 points can be a starting point for introducing an ethical framework
  •  An overview of practical methods to align ethics with Information Governance
  •  Risk management, Information management practices

Level of Audience
Intermediate

Speaker:
Katherine O'Keefe Katherine O'Keefe
Data Governance & Privacy Consultant
Castlebridge Associates

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2:45- 3:00 Coffee Break
3:00 - 3:45 Award Winning Data Governance

Wednesday
June 14
3:00–3:45

 

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Winner of the DGPO Data Governance Award Best Practice Award
Joel Lutz, Head Enterprise Data Governance and Privacy, The Vanguard Group, Inc.

In this keynote presentation by Joel Lutz, Head of Vanguard’s Enterprise Data Governance and Privacy learn why Vanguard is the Winner of the 2017 DGPO Data Governance Best Practice Award.

The Annual DGPO Data Governance Best Practice Award is given to the practitioners within a non-vendor organization in recognition of the business value and technical excellence they have achieved in the design and implementation of an outstanding data governance program.

Submissions were judged on the following criteria:

  • Business need(s) being addressed
  • Approach used to design, develop and implement the program
  • Scope and depth of the Data Governance Program as well as program longevity
  • Data governance defined roles and responsibilities
  • Communications and marketing approaches
  • Policies, procedures and processes established
  • Program metrics and business value provided

Level of Audience
All Levels

Speaker:
Joel Lutz Joel Lutz
Head Enterprise Data Governance and Privacy
The Vanguard Group, Inc.

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3:45 - 4:30 KEYNOTE PANEL

Wednesday
June 14
3:45–4:30

 

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Lessons from the Trenches Takeaways from Successful Practitioners
Moderator: Len Silverston, President, Universal Data Models, LLC
Panelists:
Joel Lutz, Head Enterprise Data Governance and Privacy, Vanguard - Winner of the DGPO Data Governance Best Practice Award
Curtis Lee, Executive Director for Data Quality, Jeffco Schools
Barbara Deemer, VP Financial Systems & Chief Data Steward, Navient
Theodore Curran, Senior Director, Chief Data Governance Officer, UPMC Health Plan
Michael Kelly, Chief Data Officer, University of South Carolina

In this closing keynote session, successful practitioners will discuss their experiences and lessons learned in implementing and sustaining data governance and data quality programs.

Topics include:

  • If you had to start over again what would you do differently
  • Tips for getting started with data governance and stewardship
  • Overcoming roadblocks and challenges
  • Measuring, showing and sharing the value of your data governance and data quality program
  • Proven communication methods and techniques

Level of Audience
All Levels

Moderator:
Len Silverston Len Silverston
President
Universal Data Models, LLC

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Panelists:
Joel Lutz Joel Lutz
Head Enterprise Data Governance
and Privacy
Vanguard
Winner of the DGPO Data Governance Best Practice Award

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  Curtis Lee Curtis Lee
Executive Director for Data Quality
Jeffco Schools

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Barbara Deemer Barbara Deemer
VP Financial Systems &
Chief Data Steward
Navient

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  Theodore Curran Theodore Curran
Senior Director, Chief Data Governance Officer
UPMC Health Plan

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Michael Kelly Michael Kelly
Chief Data Officer
University of South Carolina

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