Conference Sessions - June 9, 2015

Tuesday
June 9
7:30–8:30
Registration and Continental Breakfast
7:40 - 8:30 

Tuesday
June 9
7:40–8:30

 

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How to Develop Data Governance Best Practices
Data Governance Professionals Organization Meeting


One of the many questions the Data Governance Professionals Organization (DGPO) receives from members is “What are some of the data governance best practices?” To answer that question, a dedicated DGPO working group of experienced DG professionals have been working on enhancing the initial list of DG best practices. Join us to meet and network with DGPO members and conference attendees and learn about some of the top DG Best Practices. We will also discuss the benefits of membership, progress to date, and future plans for the DGPO. Since the founding of the DGPO in 2011 the group has grown to over 4500 list members, more than 1000 members representing 300 companies and 16 countries.

Level of Audience
All Levels

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Tuesday
June 9
8:40–8:50

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Welcome
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Tuesday
June 9
8:50–9:40

 

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KEYNOTE: Turning Data a Competitive Advantage at Capital One
Scott Hallworth, Senior Vice President, Chief Model Risk Officer and Enterprise Data Executive
Capital One Financial

In this keynote session, Scott Hallworth Enterprise Data Executive will share his perspective on  data quality and data governance at Capital One.

Topics he will discuss include:

  • Governing an evolving data management program
  • Governance and data quality challenges in dealing with data that is rapidly expanding in volume and from multiple new sources and in various formats
  • Data governance challenges at a large financial institution.

Level of Audience
All Levels

Speaker:
Scott Hallworth Scott Hallworth
Senior Vice President, Chief Model Risk Officer and Enterprise Data Executive
Capital One Financial

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Tuesday
June 9
9:40–10:10

 

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KEYNOTE: Big Data Morality: Balancing Business Value and Business Values
Nancy Fessatidis, Head of Big Data Analytics, SAP

Big Data is all around us: part of what we do, a promise of what’s possible by our business leaders, and what our customers are expecting in terms of interaction and personalization. But what does all this mean? How can we navigate the value that Big Data promises, within the values by which we operate our businesses and deliver to our Customers.

In this keynote, Nancy Fessatidis, Head of Big Data Analytics for SAP, will provide a perspective on what Big Data-based analytics requires from data governance. Questions of business value versus corporate values will be posed, as will a framework for thinking through the process.

Level of Audience
All Levels

Speaker:
Nancy Fessatidis Nancy Fessatidis
Head of Big Data Analytics
SAP

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10:10 - 10:40 Coffee Break
10:40 - 11:30 CONCURRENT SESSIONS

Tuesday
June 9
10:40–11:30

 

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Simple Six Sigma Tools Anyone Can Use to Quantify Data Quality Improvement
Joy Medved, CEO / Principal Consultant, Paradata Consulting LLC


While most practitioners agree that information and data quality are extremely important for business survival, many are unsure how to effectively communicate the need for and progress of ongoing quality improvement and governance programs. How do you quantify the current level of quality when no quality program yet exists? How do you communicate (and quantify) the progress achieved in an existing governance program in language that senior management and other stakeholders will understand, and thus continue to support?

This session provides a variety of Six Sigma tools (non-technological) that participants can use to help not only quantify, improve and control their Data Quality, but also to quantify their Data Quality improvement progress. The tools presented in this session can be used for large- or small-scale quality program efforts, and require no special training or funding to implement.

Framed within the DMAIC methodology, participants will learn and discuss Six Sigma tools to:

  • Define Data Quality Drivers
  • Measure Data Quality Issues
  • Analyze Root Cause of Poor Data Quality
  • Improve & Quantify Data Quality
  • Control Data Quality Improvements

Level of Audience
Introductory

Speaker:
Joy Medved Joy Medved
CEO / Principal Consultant
Paradata Consulting LLC

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Tuesday
June 9
10:40–11:30

 

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Embedding Data Governance & Metadata into Project Delivery
Robyn Lussier, VP, Capital Group
Mary Chen, AVP, Capital Group
Capital Group Companies, Inc. is one of the world's largest Investment Management organizations with over one trillion USD assets under management.  We serve individual investors and institutions around the world through a broad range of products and services that include American Funds, one of a large mutual fund family in the U.S.   The Investment Management division started a formal data governance program in 2013.  One area of focus for the program has been to build data governance practices, including metadata, into significant projects and system development efforts.

In this session, we will share with you some of our experiences of building these practices into software/project delivery and lessons we have learned.

Specific topics include:

  • Engagement models, deliverables & expected outcomes
  • Partnership with Architecture
  • Key interaction points in projects & releases
  • Data steward role in project data decisions
  • Resourcing - how much work is it and who pays for it

Level of Audience
Introductory

Speakers:
Robyn Lussier Robyn Lussier
VP
Capital Group

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  Mary Chen Mary Chen
AVP
Capital Group

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Tuesday
June 9
10:40–11:30

 

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Ten Ideas to Make the Case for Data Governance
Tim Patnode, Data Governance Practice Lead, Datasource Consulting

This presentation focuses on how to understand the business opportunity for data governance, and present a solution through a business case that enables you to secure commitment and funding. We'll start with how to identify "pain points" that resonate with many senior executives, ranging from how information is acquired, to how it is presented and analyzed for actionable decision-making. We'll look at how to describe the problem, and various ways to organize the solution, as well how to structure your investment case and illustrate where benefits can be achieved. The end goal of this process is to make a sound and understandable business case for a data governance program, scoping it to the immediate and longer-term needs of your business. You'll come away with an outline of how to approach the problem and tailor a business case for your organization.
  • Scoping the problem: Surveying and listening actively to your users
  • Identifying a solution: How much can the organization absorb, over what period of time?
  • Illustrating value: Correlating the solution to pain points
  • Describing the solution for the non-technical read: Writing tips
  • Building sponsorship & selling the plan

Level of Audience
Intermediate

Speaker:
Tim Patnode Tim Patnode
Data Governance Practice Lead
Datasource Consulting

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Tuesday
June 9
10:40–11:30

 

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Tools for Data Stewardship – Establishing the IT Infrastructure Needed to Support a Data Governance and Stewardship Program
April Reeve, Advisory Consultant, EMC
Eric D'Onofrio, Senior Program Manager, Quest Diagnostics

Data Governance and Stewardship programs use tools to support the activities of the participants, most notably the Data Stewards, the Data Governance program coordinators, and other IT and business stakeholders.

Exactly what tools are needed by a Data Governance and Stewardship program, what do you do with them, and how do they get implemented and supported?

This session will outline and demonstrate the tools and infrastructure put in place for the Quest Diagnostics Data Governance & Stewardship program:

  • Some history of Data Governance & Stewardship at Quest Diagnostics
  • The Data Governance & Stewardship organization at Quest Diagnostics
  • The tools implemented at Quest Diagnostics -
    • Implementing a data inventory – Metadata Management 
    • Understanding, assessing, and on-going monitoring of data quality – Data Profiling
    • Measuring data quality and program activity – Calculating Metrics
    • Justifying Data Governance and Stewardship – Calculating Results
    • Managing data quality issues – Issue Tracking
    •   Presenting information - Reporting and Analytics
  • Using an Agile approach to implement capabilities
  • Status of the program and the IT infrastructure
  • Future areas of improvement – Communication
    • Content Management
    • Program Web Site
    • Stakeholder Communication - Domain Scorecards

Level of Audience
Intermediate

Speakers:
April Reeve April Reeve
Advisory Consultant
EMC

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  Eric D'Onofrio Eric D'Onofrio
Senior Program Manager
Quest Diagnostics

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Tuesday
June 9
10:40–11:30

 

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Shhhhh! And Other Lessons From the Library
Lisa Dodson, Systems Engineer Manager, SAS

Many, if not all, data governance initiatives include the development of a business data glossary. The promise of a business data glossary is a common business vocabulary in order to minimize misunderstanding or confusion about business terms, how they are used and how they ultimately relate to data. If I need to analyze customer behavior, I need to understand what is meant by customer, where to find the data about customer, what, if any, rules exist about customer – and all of this depends on if I have access to the information. Many companies struggle with how to start such initiatives. The answer lies within the library – yes, THAT library, the one we went to as kids. There’s a lot to be learned from the librarian, the Dewey decimal system and the card catalog. In this presentation we will take a look at applying library science to the development of a business data glossary.

Level of Audience
Introductory

Speaker:
Lisa Dodson Lisa Dodson
Systems Engineer Manager
SAS

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11:30 - 11:45 Room Change
arrow11:45 - 12:15 DATA GOVERNANCE AND IQ SOLUTIONS

Tuesday
June 9
11:45–12:15

 

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Get More Value from Your Reference Data -- Make it Meaningful with TopBraid RDM
Bob DuCharme, Director of Digital Media Solutions, TopQuadrant

How can better reference data management make your enterprise's operations more efficient? What are the challenges, and best practices? In this presentation, we'll look at these issues and explore how TopBraid Reference Data Manager (RDM), a web-based, multi-user reference data management solution can make the management of distributed reference data simpler, more consistent, and more cost-effective.
We'll show how TopBraid RDM:
  • Lets workgroups of staff members in different roles collaborate on the creation, maintenance, and use of reference data
  • Enables the management of effective metadata for your reference data, adding definitions and meaning to your reference data to ensure appropriate use
  • Lets you coordinate proposed changes through a collaborative workflow, as all changes and proposed changes get tracked and stored
  • Tracks usage of your reference data
  • Makes editing of data structures as easy as editing of the data itself, with no need for IT staff intervention

Level of Audience
All Levels

Speaker:
Bob DuCharme Bob DuCharme
Director of Digital Media Solutions
TopQuadrant

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Tuesday
June 9
11:45–12:15

 

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Implementing MDM Doesn’t Need to be Stressful
A More Effective Plan for Better Business Results

Michael Ott, Senior Vice President, Innovative Systems, Inc.

Historically, MDM implementations have run over-time and over-budget, causing too much stress for both implementation teams and the business users who expect accurate and timely results.  This session focuses on a proven, advanced methodology for delivering excellent MDM quality in reduced timeframes and at reduced costs -- and along the way, minimizing headaches for those involved.

Attendees will learn how to:

  • Reduce overall MDM project risk
  • Accurately determine the time, cost, and resources required for the MDM implementation
  • Know that the level of quality delivered in the production rollout will meet business needs
  • Validate user expectations through a proof-of-concept

… and this is all accomplished prior to beginning the MDM implementation!

Level of Audience
All Levels

Speaker:
Michael Ott Michael Ott
Senior Vice President
Innovative Systems, Inc.

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Tuesday
June 9
11:45–12:15

 

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The Data Governance Network: Because Connections Matter
Darius Clayton, Director, Diaku Ltd
Patrick Dewald, Director, Diaku Ltd

The modern firm only seems to grow more complex and more difficult to understand and govern. Understanding information flows, their context and relevance is challenging. Data, systems, processes, regulation and change are interwoven, interconnected, fast changing and no single person or function has the integrated view  
  • Effective data management is more than definitions, policies and frameworks. We need tools that connect people and bring a shared understanding of data and its purpose. .
  • Learn how graph technology enables integration across data, business and IT disciplines
  • Discover how complex data and business landscapes can be made easy to understand and contribute to for everyone

Level of Audience
All Levels

Speakers:
Darius Clayton Darius Clayton
Director
Diaku Ltd

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  Patrick Dewald Patrick Dewald
Director
Diaku Ltd

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Tuesday
June 9
11:45–12:15

 

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Collibra Connect: Integrating Business Data Governance With IT Systems
Stan Christiaens, Co-founder and Operational Director, Collibra

Collibra is the standard for companies who realize that Data Governance is a business initiative.  Collibra Data Governance Center combines strong automation of data stewardship and controls, with user-friendly support for people and decision processes.

Collibra Connect adds sophisticated integration to these processes, empowering organizations to integrate the results of data stewardship activities with any application in the enterprise, no matter which platform, vendor, or use case. Data Governance can now be extended to all organizational use cases (BI, MDM, Big Data, Analytics, etc.) using standard IT skills and technology, delivering end-to-end data governance for the digital business.

This session will show how to operationalize Data Stewardship on the business side and integrate it with your current IT environment to become a true Data Driven enterprise.

Level of Audience
All Levels

Speaker:
Stan Christiaens Stan Christiaens
Co-founder and Operational Director
Collibra

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12:15 - 12:30 Room Change
arrow12:30 - 1:00 DATA GOVERNANCE AND IQ SOLUTIONS

Tuesday
June 9
12:30–1:00

 

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Bang for your Buck – Governance can be Easy
Robert Guberud, VP, IQM and Governance Practice, Prolifics

Delivering solutions today using governance product should be focused more on your business goals rather than delivering all functions of a product. Your cost of ownership should be based on the benefits you need and your investment in governance should have a tangible and early payback cycle.  So how do you get there? Come talk to Prolifics and we will provide usable approaches to driving value in your governance journey through effective jump-starts. Get your organization moving, measuring and managing your information assets today!
 
Gartner predicts that at least thirty percent of all businesses will be adding a dollar value to their data by NEXT YEAR! We want to be sure you’re one of those businesses that’s extracting value from your data now.
 
Prolifics delivers Data Value in bite size pieces

Companies like yours can begin your data journey and monetize your information by using automation and asset data capture accelerators from Prolifics.
 
This session will:
  • Show you how to manage your data in bite size pieces and concepts
  • Walk you through a process of gathering your metadata quickly and setting a baseline for your governance projects
  • Demonstrate the impact of understanding your environment and having the tools to take action quickly

Level of Audience
All Levels

Speaker:
Robert Guberud Robert Guberud
VP, IQM and Governance Practice
Prolifics

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Tuesday
June 9
12:30–1:00

 

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Beyond Data Governance
Jeff Shortis, Co-Founder and CEO, Data3Sixty

Operationalizing data governance requires an organizational commitment to the people, process and technology to enact change.  Data3Sixty activates your data governance program with a deep set of functional capabilities enabling transparency, control and trust for the most important information assets within your organization. 

Built on an extendable knowledge management framework, Data3Sixty provides the ability to visualize and synthesize information about data - along with its associated sources, relationships and responsibilities. Once data is understood and governed, the true value, knowledge and collaboration of your information assets can be realized throughout the organization.

In this session we will address the following areas:

  • Examine some of the data complexities than many organizations face.
  • Discuss the experience-based approach behind the design of Data3Sixty.
  • Demonstrate how Data3Sixty can help achieve your data governance goals.
  • Illustrate how the foundational aspects of data governance can be extended to optimally leverage knowledge throughout your organization.

Level of Audience
All Levels

Speaker:
Jeff Shortis Jeff Shortis
Co-Founder and CEO
Data3Sixty

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Tuesday
June 9
12:30–1:00

 

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Our First Data Governance Rodeo with SAS Data Quality
Dr. John Taylor, Data Analyst, Texas Parks and Wildlife Department
Matthew Magne, Product Marketing Manager, Data Management, SAS

Dr. John Taylor and Matthew Magne will discuss a real-world case study showing how SAS Data Quality and metadata solutions are being deployed as part of a Data Governance and CRM initiative at Texas Parks and Wildlife Department. Taylor received the 2012 employee recognition award for innovation at TPWD for his efforts to advance the use of predictive and location analytics, data integration and data quality methodologies at the agency.

Join us as we discuss the following topics:

  • Case study of how Texas Parks and Wildlife Department (TPDW) is using SAS Data Quality as the anchor of their Data Governance program
  • Overview of SAS Data Governance Framework and how it applies to TPDW
  • Use of SAS Data Quality and SAS Data Management technologies to cleanse and move data
  • Use of abstraction layer to simplify secure access to different business user segments
  • Use of metadata to enforce auditing and policy compliance

Level of Audience
All Levels

Speakers:
Dr. John Taylor Dr. John Taylor
Data Analyst
Texas Parks and Wildlife Department

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  Matthew Magne Matthew Magne
Product Marketing Manager, Data Management
SAS

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1:00 - 2:00 Lunch
2:00 - 2:50 CONCURRENT SESSIONS

Tuesday
June 9
2:00–2:50

 

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Successful SAP Implementation leveraging Data Quality and Data Governance: A Case Study
Chris Tyler, Manager of Data Warehousing and Reporting Services, Illumina, Inc.
Jack London, Data Governance Lead Global Business Performance, Illumina, Inc. 
Sally McCormack, Practice Lead for Data Quality, Datasource Consulting, LLC

How do you align, consolidate and cleanse data from nearly 100 legacy systems, managed independently for over 10 years in preparation for a global single instance ERP implementation (and do it all in less than 2 years)?

This was the question that Illumina, Inc. faced when making the business decision to replace its ERP and ancillary systems with a new, centralized SAP environment.  In this session, the presenters will step through the main business drivers associated with the data quality and cleansing initiatives, the tools needed and leveraged and, most importantly, how to attract and engage key business owners of the data to support not only the initial cleansing projects, but also a long term data governance organization.

From this case study, attendees will learn:

  • The importance of a business-centric data governance structure and organization
  • How to establish your business and IT partnership
  • The value of data quality tools in the identification and cleansing of legacy information
  • Why you should forget about traditional IT practices when establishing data governance and data quality program

Level of Audience
Introductory

Speakers:
Chris Tyler Chris Tyler
Manager of Data Warehousing
and Reporting Services
Illumina, Inc.

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  Jack London Jack London
Data Governance Lead
Global Business Performance
Illumina, Inc. 

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Sally McCormack Sally McCormack
Practice Lead for Data Quality
Datasource Consulting, LLC

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Tuesday
June 9
2:00–2:50

 

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Data Quality Experts Panel
Moderator: Michael Scofield. Asst. Professor, Loma Linda University
Panelists:
Peter Aiken, Founding Director, VCU/Data Blueprint
David Loshin, President, Knowledge Integrity
John Talburt, Chief Scientist, Black Oak Analytics
Dr. Alexander Borek, Senior Consultant, Gartner


In this session data quality experts will discuss some of the more challenging issues encountered by data quality professionals.

Topics include:

  • Data cleansing challenges in 3rd party data
  • How do you handle situations when more than one set of data consumers have different expectations for data quality for a data set?
  • Recommendations for new solutions and ideas for improving an organization’s data quality
  • Although data governance organizations are growing- fewer organizations are expanding data quality groups what does the future look like for data quality professionals
  • The future of data quality

Level of Audience
Intermediate

Moderator:
Michael Scofield Michael Scofield
Asst. Professor
Loma Linda University

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Panelists:
Peter Aiken Peter Aiken
Founding Director
VCU/Data Blueprint

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  David Loshin David Loshin
President
nowledge Integrity

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John Talburt John Talburt
Chief Scientist
Black Oak Analytics

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  Dr. Alexander Borek Dr. Alexander Borek
Senior Consultant
Gartner

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Tuesday
June 9
2:00–2:50

 

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Corporate Culture vs. Data Governance
Curt McAdams, Manager of Data Modeling, CareSource
The best planning and program design can falter when the corporate culture doesn't grow its acceptance of Data Governance. How do you provide solid value from a slow corporate acceptance? Using the culture of the company and grass-roots-level efforts can increase value perceptions within the company, while ensuring a core team is capable of normalizing the activities of Data Governance in a less obvious way.

In this session, we'll discuss:
  • Barriers to full Data Governance due to changes in culture
  • Core "nuggets" of Data Governance value
  • Selecting the right people to be covert Data Governance activists
  • How positive growth in the company can affect negative impacts in Data Governance program rollout

While the basic components of Data Governance will be discussed, this is not a session on how to design a Data Governance program, but, instead, how to nimbly respond to cultural changes to ensure continued, increased acceptance of Data Governance.

Many presentations at conferences talk about the details and structures around Data Governance teams and stewards to allow a well-planned approach to Data Governance. What is often not covered is, once planned or even implemented, is that the culture in the company can shift, which can change the acceptance rate of Data Governance initiatives. This session would discuss some of those obstacles and how they might be addressed to still derive benefit and grow acceptance of Data Governance.

Level of Audience
Introductory

Speaker:
Curt McAdams Curt McAdams
Manager of Data Modeling
CareSource

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Tuesday
June 9
2:00–2:50

 

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Managing Risk in a Customer 360° World through Effective Data Management Strategies
Michael Ott, Senior Vice President, Innovative Systems, Inc.
Organizations have strived to establish a customer 360° environment where accurate, consistent information is used across multiple touchpoints and via multiple distribution channels. However, organizations do not routinely think about the types of risks that are inherent in establishing and maintaining a customer environment. These risks, if not identified and managed properly, can have a devastating impact. Fortunately, there are effective data management strategies that will allow your organization to minimize risk without bringing operations to a halt.

You will learn:
  • The types of risks inherent in a customer environment
  • The potential impacts of not managing these risks
  • How Data Management and Data Governance can be used to efficiently manage risk
  • How to determine the types and level of risk within your organization

Level of Audience
Intermediate

Speaker:
Michael Ott Michael Ott
Senior Vice President
Innovative Systems, Inc.

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Tuesday
June 9
2:00–2:50

 

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Data Governance Is Not an Island
Samra Sulaiman, Information Management Consultant, First San Francisco Partners
Funmi Balogun, Information Management Consultant, Independent

Data Governance is a system of policies, standards and processes that ensure data is accurate, consistent and sustainable across an organization.  It is a system of accountability and prescribed processes that enables the delivery of “the right data, at the right time, with the right integrity”.  Organizations which are successful in executing data governance integrate the program into the fabric of the organization culture by aligning the policies, standards and processes with other functions of the organization.

The below are key building blocks to a governance program:  

  • People & Culture
  • Business Architecture
  • Business Semantics/Metadata
  • Data Quality

Identifying and understanding these building blocks and how they contribute to the formation of the governance strategy and implementation is vital.   And whether an organization has these key functional building blocks in place or not should not be viewed as an impediment.  Rather, the individual responsible for the governance program should drive the execution with an understanding of how they relate to data governance.

Making It Real! 
Many organizations have difficulty turning their Data Management strategy into executable components that can be delivered in short intervals to build out the program over time.  This portion of the presentation will focus on execution—specifically, on delivery of key building blocks of data quality, metadata and master data management in an iterative manner to demonstrate tangible business value, which is critical for sustaining the program in the long run.

Level of Audience
Intermediate

Speakers:
Samra Sulaiman Samra Sulaiman
Information Management Consultant
First San Francisco Partners

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  Funmi Balogun Funmi Balogun
Information Management Consultant
Independent

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Tuesday
June 9
2:00–2:50

 

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Data Management Benchmarking: Current State of Implementation in Financial Services
John Bottega, Former CDO, Bank of America and Federal Reserve Bank of NY

 

Speaker:
John Bottega John Bottega
Former CDO
Bank of America and Federal Reserve Bank of NY

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2:50 - 3:10 Room Change
arrow3:10 - 4:00 CONCURRENT SESSIONS

Tuesday
June 9
3:10–4:00

 

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People DO Matter – How to Create an Effective Data Governance Team
Kira Chuchom, President, True Data Value, LLC

The session will cover strategic and tactical techniques that can be leveraged in creating, managing, operating, and growing the primary data governance team. Tips and guidance on how to develop the larger data governance constituents are also discussed.

Topics of discussion include the following:
  • How do you go about finding and selecting the right people?
  • What skills, knowledge and abilities are you looking for?
  • Where can you find these people?
  • Why do personalities make a difference?
  • How can mentoring become a key differentiator?
  • What kind of certification(s) make sense?

Level of Audience
Introductory

Speaker:
Kira Chuchom Kira Chuchom
President
True Data Value, LLC

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Tuesday
June 9
3:10–4:00

 

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What’s Yours Worth? – How to Determine the Value of Data
Susan Kopeck, Enterprise Architect, Ford

Do you know the value of your business’ data?  Are you having difficulty influencing your business to standardize its data?  Do you know how to communicate the importance of data governance in analytics?

This presentation will cover practical techniques used at Ford Motor Company to influence our business customers to establish data standards and drive the convergence of fragmented data.  We’ll discuss how data ownership, data quality, and data governance all play a part in successfully establishing and maintaining standards and how these methods can lead to data efficiencies and improved analytics.

Attendees will learn how to:

  • Determine the value of their business’ data
  • Calculate the inefficiencies that result from poor data quality
  • Influence their business to establish standards and converge fragmented data
  • Develop and institutionalize information standards
  • Manage change through data ownership and governance processes

Level of Audience
Introductory

Speaker:
Susan Kopeck Susan Kopeck
Enterprise Architect
Ford

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Tuesday
June 9
3:10–4:00

 

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Top/Down Approach – Governing Data for Executive Decisions
Meredith Haney, Senior Software Systems Engineer, Sandia National Laboratories
Ruth Harris, Manager, Information Systems Engineering, Sandia National Laboratories

While there are many potential drivers for data governance, this session will explore one approach that addresses data governance when demand for data and ability to use it to inform business decisions are driven from the top down. Quality data is vital to every organization, and executives expect integrated data to be available in a timely manner to facilitate data driven decision making. Often times, data does not exist in an integrated source, but rather in silos across different policy areas making it extremely difficult or impossible to utilize in an efficient manner. As disparate data is integrated, new challenges emerge and governance becomes more complex. How do you govern at a corporate level, across business domains? How do you ensure risks are identified and sufficiently managed? How do you set expectations for executives? How do you transform the culture away from stove-piped solutions and get buy-in for this new corporate asset? If you’re interested in the answers to these questions, this session is for you.

In this session we will discuss:
  • How to design data governance around an existing vision
  • How to set and manage expectations
  • How to manage risk through data governance
  •  How to create an environment that facilitates a culture of shared decision making and stewardship

Level of Audience
Introductory

Speakers:
Meredith Haney Meredith Haney
Senior Software Systems Engineer
Sandia National Laboratories

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  Ruth Harris Ruth Harris
Manager, Information Systems Engineering
Sandia National Laboratories

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Tuesday
June 9
3:10–4:00

 

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How to Implement Data Governance Controls
Steve Zagoudis, CEO, MetaGovernance Solutions LLC

Data Governance controls and reconciliation procedures are mandatory in today's regulatory and compliance driven environment.  CXO executives are demanding more and more controls prior to automating reporting to provide assurance that data is accurate.  Most organizations have not connected these controls and procedures to their Data Governance efforts.  Organizations waste tremendous opportunity costs by not leveraging their data assets for automated reconciliation. This session changes all that by providing a clear understanding of how Data Governance controls can enhance or replace existing manual and redundant validations efforts.  Attendees will learn the general expectation around the need for controls from the various constituents.  We will then explore how to define Data Governance controls and implement them, often with existing technology and procedures.   Attendees will walk away with templates and draft procedures that can be implemented when returning from the conference. 

This session will focus on:

  • Specifics on how to define and implement Data Governance controls.
  • How to determine the Data Governance stakeholders (who cares about the controls).
  • Why Data Governance controls can be used to replace existing manual verification and reconciliation processes to gain significant operational efficiency and competitive advantage.
  • How to write procedural workflow to incorporate Data Governance controls into ongoing business operations and gain enterprise-wide support for Data Governance.
  • Understanding how Data Governance controls fit with the other controls in your organization (e.g. Sarbanes-Oxley, GAAP, Basel, etc.).

Level of Audience
Intermediate

Speaker:
Steve Zagoudis Steve Zagoudis
CEO
MetaGovernance Solutions LLC

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Tuesday
June 9
3:10–4:00

 

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Applying Data Governance to Agile Projects  
Robert S. Seiner, President/Principal, KIK Consulting / TDAN.com

Many organizations have agile development efforts underway and planned that are focused on delivering information systems and projects quickly and effectively. These same organizations also want to focus on managing data as a valuable asset and understand that data and data-processes must be governed to maximize their worth to the organization. Wouldn’t it be great if we could focus on both at the same time?

This session will focus on ways to build efficiency and effectiveness into how data governance is applied to agile projects. The speaker will also share techniques for gaining Senior Leadership’s understanding of the importance of these discipline working together to deliver truly successful business solutions.

This session will discuss:

  • How to Gain Data Commitment from Agile People
  • How to Achieve “Good Data” and “Speedy Delivery”
  • How to Achieve a Governance-Agile Common Ground
  • Essential Data Documentation and Data Requirements
  • Aspects of Agile Methods that Must Be Governed

Level of Audience
Intermediate

Speaker:
Robert S. Seiner Robert S. Seiner
President/Principal
KIK Consulting / TDAN.com

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Tuesday
June 9
3:10–4:00

 

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The Art and Science of Data Governances  
Jeff Gentry, Data & Analytics Thought Leader

Data governance ensures that our data is managed consistently with predetermined vigor. How tough can that be, right? It's not rocket science, which is one reason it's deceptively challenging. Good data governance requires some art and some science:
  • The art of organizational change
  • The art and law of unambiguous shared meaning
  • The science of metadata management
  • The discipline and complexity of data quality
In this session, we'll explore the intersections of data governance art and science, including a dive into the context of BCBS 239 banking regulations to make it real.

Level of Audience
Intermediate

Speaker:
Jeff Gentry Jeff Gentry
Data & Analytics Thought Leader

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4:00 - 4:40 Ice Cream Break & Exhibits Open
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Tuesday
June 9
4:40–5:30

 

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Get C-level Buy in on Your Data Governance and Quality Program 
Jill Camper, Data Architect, DST

Getting C-level buy in for your data governance and quality program is hard.  This session will empower you to get the proof you need to show why your company needs a data governance program now!  By interviewing your current users, and using their words to show where gaps exist, you can personalize your company's problems and share them with your C-level team in a way that shows:
  • Why data quality matters
  • What the current problems are with your data
  • How much time (and money) are currently lost
  • Quick wins that can be done in the next 3 months
  • Long term ways to ease the company in to a solid data governance and quality program that solves the real problems your company is facing, not just the "theoretical" ones

Level of Audience
Introductory

Speaker:
Jill Camper Jill Camper
Data Architect
DST

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Tuesday
June 9
4:40–5:30

 

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Leveraging Metadata Governance to Drive Better Business Decisions
Lydia Reid, Metadata and Reference Data Manager, American Family Insurance

Based in Madison, WI, American Family Insurance (a.k.a. AmFam) offers auto insurance, homeowners insurance, life insurance, business insurance and farm/ranch insurance in 19 states. American Family insurance is the nation’s third-largest mutual property/casualty insurance company and ranks 373rd on the Fortune 500 list. To expand its reach to consumers who prefer to conduct business using the internet or call centers, American Family acquired Homesite Group, and direct property insurance company, and helped create Assure Start, a startup direct small business insurance distributor, in 2013. These companies join The General, a direct auto insurance company American Family acquired in 2012. Today, one or more companies of American Family Insurance Group operate in 46 states. Coordinating and governing the metadata across such a large enterprise is vital to drive better business decisions.

In this session, Lydia Reid will discuss how AmFam carved out a separate managerial role to handle metadata to reflect the importance of metadata to the Software Development Life Cycle (SDLC). This recently established program reflects the unique importance of metadata to the overall success of an Enterprise Data Management program.

She will discuss an approach to setting up the metadata unit within the business to work with IT to promote the following topics:

  • Quantifying the business benefits and value of metadata
  • Leveraging the role of metadata tools and data stewards in governing metadata
  • Establishing best practices in creating a business glossary (common business vocabulary) and metamodel

Level of Audience
Introductory

Speaker:
Lydia Reid Lydia Reid
Metadata and Reference Data Manager
American Family Insurance

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Tuesday
June 9
4:40–5:30

 

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Making Data Governance and Stewardship Stick! Data Governance Adoption Within Your Organization
Michael Nicosia, VP, F&A Strategy, Planning & Data Governance, TIAA-CREF
Erik Ferrone, Manager, TIAA-CREF
STOP!  If you think that you are going to be successful with your data governance initiative out of the gate, chances are you’re wrong!  The reality is, the level of success you achieve will be in direct proportion to the amount of effort you put forth on an often overlooked, but fundamental component of your approach – Change Management.  Building upon our recent Information Management article, the “6 Rules for Governance Success”, this session will provide insight into:
  • Why “adoption”, not compliance should be the goal when launching a data governance initiative
  • How to build a change management approach that will lead to better adoption of governance practices within an organization
  • How to develop and implement a data governance focused communications and education strategy and plan, which raises awareness and the acumen of staff across an organization
  • How to use the right policies, standards, and methods to guide the organization in the adoption of good governance practices
  • How to measure whether your efforts are making a difference  

Level of Audience
Introductory

Speakers:
Michael Nicosia Michael Nicosia
VP, F&A Strategy, Planning & Data Governance
TIAA-CREF

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  Erik Ferrone Erik Ferrone
Manager
TIAA-CREF

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Tuesday
June 9
4:40–5:30

 

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Real-Time Data Requires Real-Time Governance!
Don Loden, Principal Consultant, Decision First Technologies

Drawing on real-world use cases and best practices from numerous implementations, learn how to leverage technology to tackle the new challenges that arise with the emergence of real- time data.

Empower your organization to better manage data and metadata in real time.

Get expert advice to develop a governance strategy, including selecting terms and quality metrics to measure, setting thresholds for scorecards, and measuring data quality over time

Step through live demos of scorecards that validate data quality using complex business rules in real time against sources to see how data quality conforms to rules to support a real-time enterprise

Level of Audience
Intermediate

Speaker:
Don Loden Don Loden
Principal Consultant
Decision First Technologies

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Tuesday
June 9
4:40–5:30

 

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Hackers, Attack Anatomy & Security Trends  
Ted Harrington, Executive Partner, Independent Security Evaluators

Attacks against enterprises and their technology vendors are facilitated by the current rapid adoption of embedded systems, cloud solutions, and web based platforms. These attacks often undermine the very monetization, scalability and user experience goals for which these systems were designed and deployed. As malicious hackers advance their techniques at a staggering pace, often rendering current defense tactics obsolete, so too must security practitioners obsess over deploying progressive techniques. 

This session will analyze the anatomies of real world attacks against high profile systems, ranging from the well known Target breach, to Texas Instruments RFID, to Apple products, and more. It will extract lessons from these attack anatomies to provide a framework to account for these modern attackers, articulate industry context, and supply attendees with key takeaways, including immediately actionable guidance.

  • Discipline Division: Security Separated from Functionality
  • Perspective Matters: White Box vs. Black Box
  • Defense Priorities: Secure Assets, not Just Perimeters. 
  • Timing Security: Build It In, Not Bolt It On.
  • Procedural Duration: Security as an Ongoing Process. 

Level of Audience
Intermediate

Speaker:
Ted Harrington Ted Harrington
Executive Partner
Independent Security Evaluators

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Tuesday
June 9
4:40–5:30

 

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Data Migration – A Path to Information Governance  
Paul Médaille, Director, Solution Management, Enterprise Information Management, SAP
David Quirk, EIM Solution Management, SAP

Information governance is a discipline that involves people, policies, procedures, and metrics to help organizations actively manage their data assets and implement an enterprise information management strategy.   Information governance is a journey for which there can be many starting points; one of the best places to start an information governance journey is a data migration project. In this session we will introduce the basics of Information Governance, describe the concepts and challenges of data migration projects, cover some of the tools to assist your migration projects, and give practical tips on how to leverage data migration to initiate an information governance project.

Level of Audience
Introductory

Speakers:
Paul Medaille Paul Médaille
Director, Solution Management
Enterprise Information Management
SAP

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  David Quirk David Quirk
EIM Solution Management
SAP

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5:30 - 7:45 EXHIBITS AND RECEPTION
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