Conference Sessions - June 13, 2017

Tuesday
June 13
7:30–8:30
Registration and Continental Breakfast
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Tuesday
June 13
7:35–8:20

 

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A Deep Dive into Data Governance Communications
The Data Governance Professionals Organization (DGPO) Annual Summer Meeting

Whether you are just starting your data governance journey or are an experienced data governance professional networking and learning from your peers is invaluable to your success.

This is why the DGPO was formed. Over the past 6 years, the DGPO has grown to over 8,000 list members. Members represents 500 different companies from 14 countries.

Join us on Tuesday morning and learn about best practices for data governance communications, current DGPO initiatives and plans for the future.

This session is open to all attendees. You do not need to be a DGPO member to attend this session.

Level of Audience
All Levels

Speakers:
The Data Governance Professionals Organization (DGPO)

 

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Tuesday
June 13
8:30–8:40

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Welcome
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Tuesday
June 13
8:40–9:20

 

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KEYNOTE: Data Governance for the Future: A Global Dilemma of Standards
Ho-Chun Ho, Global Head, Data Governance and Management, JLL
Kathy Patterson, Head of Data, Corporate Solutions, Americas Region, JLL

Data governance is extremely important today because the rise of sharing economy and digital globalization causes more information sharing and exchange, and it is predicated on solid data standardization. However, for global organizations, it is quite challenging to create a data governance program that ensures global consistency while enabling regional competitive advantage and business growth. At JLL, we manage the data used by our corporate clients across many different industries and countries where the best practices and regulations are inconsistent. Like many other companies, we at JLL have to consider industry standards in order to define our own. Oftentimes these industry standards are developed for certain business sectors, processes or for a single industry vertical. Some of the industry standards may even conflict with each other. This keynote will discuss how the JLL Data Governance team performs research across standards bodies, industries and geographic locations and how JLL actively participates in the evolution and convergence of industry standards around the world.

Level of Audience
All Levels

Speakers:
Ho-Chun Ho Ho-Chun Ho
Global Head, Data Governance and Management
JLL

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  Kathy Patterson Kathy Patterson
Head of Data, Corporate Solutions, Americas Region
JLL

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Tuesday
June 13
9:20–9:50

 

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KEYNOTE: Data Quality & Governance: On the Critical Path to the Cognitive Enterprises
Scott Buckles, Business Unit Executive, IBM Analytics - Information Integration and Governance, IBM

Organizations today are in the midst of a digital transformation, moving from traditional and reactive analytics to proactive predictive and cognitive analytics.  To get there, though, the quality of an organization’s data becomes even more critical.  We will share how information governance is playing a key role in the success of advanced analytics.

Level of Audience
All Levels

Speaker:
Scott Buckles Scott Buckles
Business Unit Executive
IBM Analytics - Information Integration and Governance
IBM

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9:50 - 10:15 Coffee Break
10:15 - 11:00 CONCURRENT SESSIONS

Tuesday
June 13
10:15–11:00

 

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Initiating a Data Governance Program on An Electronic Health Record Platform
James Johnson, Data Governance Program Lead, Scripps Health
Justin Andrade, Project Manager, Scripps Health

Scripps' data governance program was initiated to standardize & document reports and metrics for their new Electronic Health Record Platform, which includes all clinical and revenue cycle applications for their electronic medical record system.

Program goals included:

  • Formal roles for information, report and information ownership and stewardship
  • Defining data domains & mapping lines of business & business functions for each
  • Setting up a formal oversight structure of councils, committees and work groups for decision making and escalation/arbitration (including a Data Governance Council and associated work groups)
  • Implementing formal processes for formal sign-off of reports & metrics for go-live and requesting new reports and metrics
  • Building a data governance site in SharePoint to provide transparency & share program artifacts (e.g., glossary, infographics, report inventory, metric inventory, etc.)
  • Building a communication and training program to educate employees on the purpose, value and processes of our data governance program

Level of Audience
Introductory

Speakers:
James Johnson James Johnson
Data Governance Program Lead
Scripps Health

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  Justin Andrade Justin Andrade
Project Manager
Scripps Health

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Tuesday
June 13
10:15–11:00

 

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Help! I Have Bad Data and I Don’t Know What to Do!
Darci Hoogeveen, AVP, Data and Process Improvement, Lincoln Financial Group
Lynn Marsh, Consultant, Data and Process Improvement, Lincoln Financial Group
Sondra Zinke, Senior Consultant, Data and Process Improvement, Lincoln Financial Group
Bad data can impact all aspects of an organization.  In this session, learn how Lincoln Financial Group’s Data Governance team partners with business users to identify, correct, and vigilantly monitor bad data. 

Our Data Governance home has varied during its three years in existence – as first a function within the business, then as part of IT, and now within the Finance organization.  We’ve learned it doesn’t matter where Data Governance lives as long as there is strong collaboration and partnership with the business owners of the data.  Additionally, having a dedicated data governance team that works closely with a cross-departmental leadership group has been another key to our team’s success.

The team has partnered with the business to implement a multitude of data profiling opportunities resulting in both direct and indirect benefits to the company including:

  • Increased accuracy in customer reports
  • Increased operational efficiencies
  • Significant financial savings

Level of Audience
Introductory

Speakers:
Darci Hoogeveen Darci Hoogeveen
AVP, Data and Process Improvement
Lincoln Financial Group

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  Lynn Marsh Lynn Marsh
Consultant, Data and Process Improvement
Lincoln Financial Group

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Sondra Zinke Sondra Zinke
Senior Consultant, Data and Process Improvement
Lincoln Financial Group

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Tuesday
June 13
10:15–11:00

 

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Master Data Management, Data Standards and Terminology Management - Enhancing the Integration and Sharing of Data at Hoffmann-LaRoche
Markus Burger, Information Architect, F. Hoffmann-LaRoche
Martin Romacker, Data and Information Architect, F. Hoffmann-LaRoche

Today the pharma business is undergoing an important transformation being more and more a data-driven industry. The data available to create scientific and business insights is increasing in an unprecedented way. At the same time there is an emerging and urgent need to exchange data across the entire value chain ranging from research to marketing and, more recently, even to diagnostics and health care (real world data). The data integration needs of Translational Medicine, Biomarker Development or Personalized Healthcare underpin this change.

As an organization we have started to work on cross-functional initiatives in order to cope with the challenges of a highly flexible, scalable and overarching data management strategy. In our presentation we would like to focus on the linkage of ERP-driven Master Data Management with Data Standards and Terminology Management. The combination of the capabilities results in more flexibility for data integration and better data quality across repositories.

  • Master Data Management
  • Data Standards
  • Terminology Management
  • Data/ Information Quality
  • Data Integration/ Data Sharing

Level of Audience
Intermediate

Speakers:
Markus Burger Markus Burger
Information Architect
F. Hoffmann-LaRoche

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  Martin Romacker Martin Romacker
Data and Information Architect
F. Hoffmann-LaRoche

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Tuesday
June 13
10:15–11:00

 

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Data Governance Meets Psychology 101
Michael McMorrow, Principal, MMM Data Perspectives Ltd

Data Governance sinks or swims on the commitment and motivation of people -the  formal and informal stakeholders necessary to make Data Governance a cultural reality. This session explores techniques from Psychology to deepen the personal buy-in of these stakeholders.

These techniques are well-understood by professional salespeople as they push the conscious, but more often sub-conscious, buttons that drive our decisions.

To help to effectively sell Data Governance, this session will draw on intriguing research examples from Psychology, and specific examples from the presenter's DG experience, on topics including:

  • Confirmation Bias (ignore information which disagrees with current belief)
  • Commitment (determination to keep moving forward with publicly made decisions)
  • Fight or Flight (primal gut reaction to risk)
  • Conformity (obedience to powerful authority)
  • Social Proof (mimic behavior of others in similar circumstances)

Level of Audience
Intermediate

Speaker:
Michael McMorrow Michael McMorrow
Principal
MMM Data Perspectives Ltd

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Tuesday
June 13
10:15–11:00

 

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FROM WILD WEST TO LAW AND ORDER:
Panel-Data Governance in the New Era of Big Data and Data Lakes
Moderator: Sunil Soares, Founder & Managing Partner, Information Asset
Panelists:

Sherri Adame, Enterprise Metadata Leader, CIGNA
Paul Barth, CEO and Founder, Podium Data
Barbara Forth, Data Management Executive and Former Capital Group and Fidelity Investment Data Management Executive Leader


Governing data in an enterprise-scale data lake requires a different approach that that traditionally used with data warehouses or other established enterprise data management platforms. New business processes are needed to accelerate and simplify data delivery, while also strengthening security and data access controls across expanding populations of data consumer. Increased executive leadership to drive a new model of governance; new technologies to enable more rapid collaboration; different methods for assessing and tracking data quality; and a redefined collaboration model between operational, data preparation and data consumer groups are all essential components of implementing best practice data governance a modern big data setting. 

This panel discussion will include executive leaders with deep expertise in driving data governance and big data projects at Cigna, Capital Group, Astellas Pharma, and Fidelity among other places. The discussion will focus on data governance lessons learned in the era of data lakes and big data.

Level of Audience
Intermediate

Moderator:
Sunil Soares Sunil Soares
Founder & Managing Partner
Information Asset

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Panelists:
Sherri Adame Sherri Adame
Enterprise Metadata Leader
CIGNA

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  Paul Barth Paul Barth
CEO and Founder
Podium Data

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Paul Barth Barbara Forth
Data Management Executive and
Former Capital Group and
Fidelity Investment Data
Management Executive Leader

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Tuesday
June 13
10:15–11:00

 

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Information Governance: Setting and Enforcing Your Data Policy Decisions
Rex Ahlstrom, Chief Strategy Officer, BackOffice Associates

Planning to establish and enforce a data governance strategy? Learn from best-practice advice and real user insight on what market changes are impacting traditional approaches to master data management and how you can build a long-term data governance strategy and organization. 

Level of Audience
All Levels

Speaker:
Paul Barth Rex Ahlstrom
Chief Strategy Officer
BackOffice Associates

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11:00 - 11:15 Room Change
11:15 - 12:00 CONCURRENT SESSIONS

Tuesday
June 13
11:15–12:00

 

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The Wild West of Data Governance and its Effect on Healthcare Innovation through Analytics
Anita Cook, Data Quality Manager, HCA
Elaine Gillespie, Director Data Quality Management, HCA
Andrew Hohwald, Business Analyst , HCA

Emphasize the importance of ensuring that the clinical data used to transform healthcare is accurate, reliable, discoverable and trusted.  Provide an overview of how we manage these different quality indicators for the largest for profit healthcare company in the country. We will discuss the role of Enterprise Master Person Index (EMPI), Data Profiling & Analysis, and Vocabulary Standardization in our Data Quality Program and how we have implemented Data Governance in each of these domains.  The session will provide details and answer questions regarding:
  • How HCA established governance and quality standards.
  • Implementation of the Governance and Stewardship program with ongoing real-time monitoring.
  • Assigning roles and responsibilities of the Data Steward Program.
  • Explore our steps and processes through each step of the Data Governance Cycle.
  • How HCA's Data Quality and Data Governance Programs supports the overall Analytics and Business Intelligence Platforms.
  • Review HCA’s lessons learned, current challenges with data quality, future plans and isions of clinical data quality process.

Level of Audience
Intermediate

Speakers:
Anita Cook Anita Cook
Data Quality Manager
HCA

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  Elaine Gillespie Elaine Gillespie
Director Data Quality Management
HCA

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Andrew Hohwald Andrew Hohwald
Business Analys
HCA

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Tuesday
June 13
11:15–12:00

 

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How Data Governance and Metadata is Unifying the Data Landscape at ING
Stefhan van Helvoirt, Data Management Expert, ING

The organization that I work for is undergoing an enormous transition to consolidate the way we operate and do business across the globe with the goal of becoming the next generation digital bank. One of the key enablers to this strategic change is proper data management. This session focuses on detailing the progress we have made in the last year on data management and our data management platform. This presentation focuses primarily on the business perspective but will also do several deep dives towards the technical aspects that are associated with the implementation. The following topics will be addressed:
  • Data Management in the organization, how is it organized and executed
  • The role of the data stewards and the enabling factors to empower data stewards in their role
  • The journey towards unifying the data landscape from a business perspective
  • Enforcing policies and standards on a data and metadata level

Level of Audience
Intermediate

Speaker:
Stefhan van Helvoirt Stefhan van Helvoirt
Data Management Expert
ING

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Tuesday
June 13
11:15–12:00

 

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Building a Business Case for Data Quality
Stephanie Zatyko, Marketing Manager, Experian Data Quality

Data is at the heart of every organization, and having good data quality is necessary for sustained success. Savvy businesses are able to turn data insight into action through initiatives like business intelligence, predictive analytics, and targeted marketing. In this session we’ll discuss challenges that organizations face when measuring the impact of bad data, opportunities for quick wins, and share proven strategies for developing a successful proposal for an enterprise-wide data quality program.

Key Takeaways:

  • Challenges that organizations face when measuring the impact of bad data
  • Common practices when building a business case for data quality
  • Proven strategies and a worksheet for developing a successful proposal

Level of Audience
Introductory

Speaker:
Stephanie Zatyko Stephanie Zatyko
Marketing Manager
Experian Data Quality

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Tuesday
June 13
11:15–12:00

 

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Launching Data Governance Alongside an Information Security Management System in a University
Kate Carruthers, Chief Data Officer, University of New South Wales

A case study on the experience of launching a data governance program and an information security management system at University of New South Wales.

Outlining lessons learned and practical next steps, including:

  • Linking data governance and the cybersecurity initiatives
  • Aligning the Data Governance and the IT teams to deliver
  • Practical data governance

Level of Audience
Introductory

Speaker:
Kate Carruthers Kate Carruthers
Chief Data Officer
University of New South Wales

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Tuesday
June 13
11:15–12:00

 

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Leveraging Data Debt – a Powerful Metric for Proving the Value of Data Management and Data Governance
John Ladley, President, Chief Delivery Officer, First San Francisco Partners

Data debt" is a term based on the concept of “technology debt,” out of the Agile Development world.  Data debt is a concept and metric that will reveal to leadership the huge costs in delaying doing the "right things" with data and information. This session will explain the concept, and offer suggestions as to how to apply this powerful metric to sustaining your EIM or DG program.

Level of Audience
Intermediate

Speaker:
John Ladley John Ladley
President, Chief Delivery Officer
First San Francisco Partners

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Tuesday
June 13
11:15–12:00

 

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What is Next for Data Governance? Survival Guidelines  
Robert S. Seiner, Publisher/President, TDAN.com/KIK Consulting

Data Governance has had that name for approximately twenty years. Before that, core principles of Data Management were all the rage – and before that it was Information Engineering. At the heart of these disciplines is best practice associated with the definition, production and use of data. So what's next?

This session with Bob Seiner will focus on the future of Data Governance as the discipline expands to address the advanced use of all data – big data, smart data, metadata and the internet of things data to name a few. Join Bob for a lively session where he will discuss future use of data governance programs to address the future uses of data.

In this session Bob will present:

  • Evolution from Data Governance to what’s next
  • Governance requirements – past, present and future
  • Getting Management to continue to push for governance
  • Positioning Data Governance as a steady influence
  • Future applications of existing Data Governance programs

Level of Audience
Advanced

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

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12:00 - 12:15 Room Change
12:15 - 12:45 DATA GOVERNANCE AND IQ SOLUTIONS

Tuesday
June 13
12:15–12:45

 

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The Well Governed Data Marketplace:
How Podium Is Helping Companies Build Data Marketplaces with Enterprise-Grade Data Governance and Security

Paul Barth, CEO and Founder, Podium Data

Podium allows companies to create a secure self-service marketplace of their data, so that new data can be delivered to the business in a day and business users can find data they need in minutes. This presentation will provide an overview of Podium and specific examples of how large companies are using Podium to implement enterprise-grade data governance and metadata management in their data marketplaces.

Level of Audience
All Levels

Speaker:
Paul Barth Paul Barth
CEO and Founder
Podium Data

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Tuesday
June 13
12:15–12:45

 

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The Citi Data Catalog: Applying Proactive Data Governance to Big Data and Data Science
Garry Katz, Chief Information Architect, Citi
Christophe Barriolade, President & CEO, Orchestra Networks

Citi Global Functions Technology Services (GFTS) has embarked on a program to improve the governance and management of its data assets. While Citi GFTS began with data governance and reference data management, the initiative has evolved into a much broader program which consists of several key pieces that tie together governance, metadata management, reference and master data management--all elements that are critical for Citi’s big data programs. Key pieces include: metadata documentation, data lineage, a report control framework, data quality monitoring and entitlements.  This catalog is the foundation of a trust framework that guides and controls the data science teams as they fish for insights in the Bank’s data lakes.

Key takeaways:

  • How an integrated approach to governance, metadata, reference data and master data supports data science,
  • How accurate and governed metadata and reference data foster repeatability in analytics,
  • How data catalogs tie to analytical model management and reporting,  and
  • How this combined approach supports other key functions such as governance, risk and compliance (GRC).

Level of Audience
All Levels

Speakers:
Garry Katz Garry Katz
Chief Information Architect
Citi

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  Christophe Barriolade Christophe Barriolade
President & CEO
Orchestra Networks

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Tuesday
June 13
12:15–12:45

 

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Achieving a Single View of your Customer
Michael Berard, Data Management Subject Matter Expert, Experian Data Quality

According to Experian’s 2017 global data management benchmark report, 95% of organizations are trying to achieve a single view of their customers, however it’s not as easy as it seems. Organizations are struggling with poor data quality, lack of standardization, disparate data sources, and more. In this session, you’ll learn how you can leverage the power of Experian to deliver on your single customer view initiatives and drive more value from quality, actionable data.

Level of Audience
All Levels

Speaker:
Michael Berard Michael Berard
Data Management Subject Matter Expert
Experian Data Quality

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Tuesday
June 13
12:15–12:45

 

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Governance 2.0: Maximize the Business Value of Your Data with Information Governance Cloud
Tyler Warden, VP of Product Solutions, BackOffice Associates

Learn how to integrate data governance projects with process and GRC initiatives to establish appropriate ownership, manage risk, and unlock opportunities for cost savings and operational efficiencies. Find out why it’s critical that your governance extends beyond master data and covers data across all your systems.

Level of Audience
All Levels

Speaker:
Tyler Warden Tyler Warden
VP of Product Solutions
BackOffice Associates

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12:45 - 1:45 Lunch
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Tuesday
June 13
1:45–2:15

 

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KEYNOTE: The Sky is the Limit - Enterprise Data Management moves to the Cloud
Justin Litz, Global Vice President Enterprise Data Management, SAP SE

Transitioning from an On-premise environment to a Cloud-based model requires a strong Data Governance model and a carefully planned and well-supported strategy. In this session, Justin Litz will share his experience in building this program at SAP, including
  • A brief history of the Data Governance model at SAP
  • Overall Strategy for transitioning from an On-premise environment to a Cloud-based model
  • Building the network of key stakeholders and influencers to support the strategy
  • Practical guidance for implementation

Level of Audience
All Levels

Speaker:
Paul Barth Justin Litz
Global Vice President Enterprise Data Management
SAP SE

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2:15 - 2:30 Room Change
arrow2:30 - 3:15 CONCURRENT SESSIONS

Tuesday
June 13
2:30–3:15

 

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Success Story from a Data Quality Battlefield
Shakeel Ahmed, Data and Platform Lead, Pacific Gas & Electric Company
Chitta Shirolkar, Information Management Consultant, Slalom Consulting

Using our experiences at Pacific Gas and Oil we will explain how to navigate successfully when bombarded with data quality issues. How we convinced the right people in the organization to invest in an ongoing Data Quality & Stewardship program. We will share how cross-functional teams aligned and participated in achieving the common goal of improving data. We will then discuss the frameworks used to prioritize and address the data challenges, which helped turn an initiative into an ongoing program.

Join us to learn:

  • Quantifying data quality - DQ Analytics and visualization considerations
  • Connecting the metrics to business impact and the actions
  • Techniques for root-cause analysis and resolution across People, Process, Technology
  • Managing DQ for data in the cloud
  • Relationship between Data Quality and other Data Governance components such as meta-data, data ownership and architecture management
  • Cautions and typical barriers

Level of Audience
Intermediate

Speakers:
Shakeel Ahmed Shakeel Ahmed
Data and Platform Lead
Pacific Gas & Electric Company

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  Chitta Shirolkar Chitta Shirolkar
Information Management Consultant
Slalom Consulting

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Tuesday
June 13
2:30–3:15

 

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Health Care Special Interest Group
Mark Stockwell, Data Governance Program Manager, Asante

Healthcare, not unlike most industries, has a unique set of challenges related to Data Governance.  PHI, PII, APM’s, CMS reporting and the mere complexities of capturing and leveraging patient and provider data to deliver high quality care demand high quality well governed data.   With the rapid growth of healthcare data and the changes to the industry overall it is not uncommon for many healthcare organizations to be on their second or third attempts to roll out a value based data governance initiative that will meet their organizations needs.

The Healthcare Special Interest Group is a forum that will be defined by its members to facilitate regular discussion and knowledge sharing between healthcare organizations implementing or contemplating the implementation of Data Governance.  The goal of this group will be to elevate and mature the data governance programs of its members and the entire healthcare data governance industry as a whole. 

Please join us to meet some of your fellow data governance professionals who are working within the healthcare industry, network, share ideas and leave some topics behind that you would like to see this group address in the coming months.

Level of Audience
All Levels

Speaker:
Hemanth Gangaram Sr. Mark Stockwell
Data Governance Program Manager
Asante

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Tuesday
June 13
2:30–3:15

 

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The Library – Building a Metadata Repository to Support Data Governance and Data Quality Efforts
Beth Harris, Data Governance & Data Quality Lead, J.R. Simplot
Deborah Nichols, Data Quality and Governance Lead, J.R. Simplot Company
As our company began to implement a business intelligence practice, it became obvious that IT needed to construct a strong foundation by identifying trusted and single sources of information as well as documenting lineage, business rules, and data definitions.  Inspired by several sessions at the DG Winter Conference in 2014, we began building a metadata repository we call “The Library.”   We started by identifying what would provide the greatest benefit and deciding how to capture these data.  Without dedicated resources, we took slow, but deliberate steps and created a SQL Server database with an Access front-end designed to solicit feedback from IT and business users.  We socialized the concept of The Library across the company and began to integrate more widespread information capture into existing processes.  Based on early positive feedback and support of management, we recently received additional resources to further develop the Website front-end.

The Library provides a holistic view of information assets within our company which:

  • Supports IT development from an enterprise perspective
  • Identifies a single source of truth
  • Reduces reliance on “tribal knowledge”
  • Increases resource efficacy
  • Improves on-boarding of new employees and contractors

Level of Audience
Introductory

Speakers:
Beth Harris Beth Harris
Data Governance & Data Quality Lead
J.R. Simplot

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  Deborah Nichols Deborah Nichols
Data Quality and Governance Lead
J.R. Simplot Company

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Tuesday
June 13
2:30–3:15

 

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Data Governance for Wearable Technologies and Internet of Things (IoT)
Ramesh Dontha, Managing Partner, Digital Transformation Pro
How do you implement Data Governance in fast-paced and immature industries such as wearable technologies and Internet of Things (IoT)? This case study will cover the value proposition for DG that we came up with, the adjustments we made to existing DG framework, and the outcomes. Since most of the existing Data Governance literature dealt with mature industries, we had to tweak and adjust existing frameworks and best practices to accommodate new data entities and different ‘people’ profile of fast-growing and high-tech industries and in some cases come up with brand new concepts to implement Data Governance in this case.

Attendees will walk away with actual templates that they can use right away in their practice.

Level of Audience
Intermediate

Speaker:
Ramesh Dontha Ramesh Dontha
Managing Partner
Digital Transformation Pro

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Tuesday
June 13
2:30–3:15

 

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Data Lakes - the Key to a Scalable Modern Data Architecture
Ben Sharma, CEO and Cofounder, Zaloni
When building your data stack, the architecture could be your biggest challenge. Yet it could also be the best predictor for success. With so many elements to consider and no proven playbook, where do you begin to assemble best practices for a scalable data architecture?

During this session Ben Sharma offers lessons learned from the field to get you started, including a recommended data lake reference architecture and a set of considerations for management, operations, security and governance. If you are concerned with building a data architecture that will serve you now and scale for the future, this is a must-attend session.

Topics include:

  • A recommended data lake reference architecture
  • Considerations for data lake management and operations
  • Considerations for data lake security and governance
  • Metadata management
  • Logical data lakes to enable ground-to-cloud hybrid architectures
  • Self-service data for more democratized data access

Level of Audience
Intermediate

Speaker:
Ben Sharma Ben Sharma
CEO and Cofounder
Zaloni

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Tuesday
June 13
2:30–3:15

 

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Defining the Data Governance Dream Team
Steve Zagoudis, CEO, MetaGovernance Solutions

Data Governance implementations are defined as a combination of people, process and technology.  Management focus is often on the process/procedure and technology aspects of implementation.  The critical definition and selection of people is often overlooked.  This session will focus specifically on the roles and skills needed to ensure successful Data Governance.  Functional skills from business, technology, compliance, risk and legal will be explored as needed to create an enterprise view of governance. The role of the Data Governance analyst will be showcased as is needed to define and record relationships between business processes and the data within the organization.  The roles of the various C-Level functions will be explored as related to supporting, funding, and authorizing the Data Governance initiatives. This presentation is based on team compositions that have succeeded in advancing the maturity level of Data Governance implementations resulting in increased ROI and business value.

During this session, you will learn:

  • Key Data Governance roles needed to ensure success
  • How to leverage “C’ level resources including the CDO
  • The critical Data Governance analyst role
  • Identifying the right resources based on skills and passions
  • Data Governance team skill matrix

Level of Audience
Intermediate

Speaker:
Steve Zagoudis Steve Zagoudis
CEO
MetaGovernance Solutions

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3:15 - 3:30 Room Change
arrow3:30 - 4:00 DATA GOVERNANCE AND IQ SOLUTIONS

Tuesday
June 13
3:30–4:00

 

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Data Governance - It's Just Data, How Hard can it be?
Pat Egan, Senior Product Manager, Infogix Data3Sixty

Data Governance can mean many things to many people, from a CXO’s mandate, an IT group’s technical perspective to a business users need to gain knowledge about their data. Most agree on the importance of data, yet struggle to get to grips with the best way to govern, protect and extract the best value of their data. In this session, we will look into the people, process, technology and data matrix, review the challenges, people perspectives and provide valuable insights into structuring Data Governance and more importantly sustaining an engaged workforce and viable program.

Level of Audience
All Levels

Speaker:
Pat Egan Pat Egan
Senior Product Manager
Infogix Data3Sixty

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Tuesday
June 13
3:30–4:00

 

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How Data Governance Capabilities for Profiling, Cataloging and Lineage also Support Regulatory Compliance
Ralph Hodgson, CTO and Co-founder, TopQuadrant

Regulatory compliance is often a driver for data governance initiatives. Understanding, assessing and reporting for compliance is both a priority and challenge for many organizations. Regulatory requirements are complex. Developing a shared understanding among multiple stakeholders of what is needed to fulfill them is critical. Beyond "line-of-sight" and data lineage, it is essential to discover what data, metadata, documents, other assets as well as people and processes map to regulatory obligations.

Enterprises are finding that graph-based knowledge representations are essential to meeting these challenges. By connecting all the related metadata, data, forms and other compliance collaterals, these technologies enable organizations to navigate complex data governance landscapes such as those entailed in regulatory compliance.

TopBraid Enterprise Data Governance (TopBraid EDG) is an agile data governance solution based on non-proprietary, W3C semantic standards-based graphs. EDG realizes a model-driven approach for capturing, querying, and reporting over data governance knowledge graphs. In this session, using GDPR compliance for illustration, we will demonstrate how data governance capabilities such as the following support regulatory compliance:

  • Structured knowledge graphs to manage compliance requirements and data
  • Querying and Visualization
  • Inferring from context what data, connections, and regulatory obligations apply

Level of Audience
All Levels

Speaker:
Ralph Hodgson Ralph Hodgson
CTO and Co-founder
TopQuadrant

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Tuesday
June 13
3:30–4:00

 

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Data Governance Leads to Good Data Quality (and vice versa)
Keith Kohl, VP, Product Management, Trillium Software

Data Governance and Data Quality are intrinsically linked, and as the strategic importance of data grows in an organization, the intersection of these practices grows in importance, too.  This session will outline the connections and dependencies between Data Governance and Data Quality, and provide a practical approach for combining the two to deliver to the business data that is accurate, trusted and fit for purpose.

We will discuss:

  • Data must be governed to be a valuable data asset (the Why)
  • From definition, setting policies, and remediation (the Who)
  • Dimensions of Data Quality and Dashboards (the What)
  • Steps to achieve good data quality (the How)

Level of Audience
All Levels

Speaker:
Keith Kohl Keith Kohl
VP, Product Management
Trillium Software

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Tuesday
June 13
3:30–4:00

 

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Are You Prepared for the Data Discovery Requirements to Meet EU's New Costly GDPR Privacy Requirements?
Stuart Tarmy, VP, Sales and Marketing, ROKITT Inc

The EU’s General Data Protection Regulation (GDPR) was made public on May 4, 2016 and becomes effective on May 25, 2018.  It is the biggest overhaul of European data privacy laws in 20 years, and will affect every company that sells into the EU, even if it is only by virtually through the internet.  The GDPR addresses the protection of personal data, which as defined by the GDPR goes well beyond what U.S. companies typically think of as Personally Identifiable Information (PII).  Non-compliance could be devastating and even fatal to many companies, as the GDPR imposes huge civil fines on companies for non-compliance, while some EU countries have additionally imposed criminal charges.   Please join us to learn about actionable solutions and approaches to meet the GDPR data discovery and data management requirements, including how to manage personal data in your more difficult legacy and undocumented systems.

Level of Audience
All Levels

Speaker:
Stuart Tarmy Stuart Tarmy
VP, Sales and Marketing
ROKITT Inc

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4:00 - 4:45 Ice Cream Break and Exhibits Open
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Tuesday
June 13
4:45–5:30

 

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Governance Drives Arizona's State-Wide Data Management Program
Jeff Wolkove, Data Governance Architect, Arizona Strategic Enterprise Technology Office

The State of Arizona has been building our data governance program across all agencies to promote sound strategies for selecting technologies, improving data quality and laying the groundwork for reliable data-driven decisions and interagency data exchanges. In 2016, our Data Management Steering Committee approved a flexible contract vehicle to assist agencies in building their data management capabilities and programs over a multi-year period.  Arizona’s 100+ agencies have diverse data management needs, processes and technologies. To evolve capabilities for all agencies, Arizona needed a backbone of recognized standards to evaluate the current state, develop roadmaps, and implement best practices; they include the Data Management Maturity (DMM) Model and the Data Management Body of Knowledge (DMBoK).

We’ll address:

  • Building data governance in a highly decentralized environment
  • How Arizona envisions the key building blocks to data management maturity
  • Key projects underway and how they contribute to program goals.

Level of Audience
Introductory

Speaker:
Jeff Wolkove Jeff Wolkove
Data Governance Architect
Arizona Strategic Enterprise Technology Office

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Tuesday
June 13
4:45–5:30

 

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Freddie Mac Single Family Business: A Case Study in How to Operationalize a Data Stewardship Model
Van Lin, Shared Information Support, Director, Freddie Mac
Stephanie Grimes, Shared Information Support, Manager, Freddie Mac

The Freddie Mac Single Family Data Governance and Management (SF DG&M) department was established in 2014 to define how the business line should govern and manage their data.  In addition to developing and implementing data governance standards, SF DG&M was tasked with the tactical execution of those standards including defining the role of the data steward and how this data stewardship model would be operationalized.

What you will learn:

  • How Freddie Mac defined the data stewardship model
  • Definition of a data steward
  • The link between data stewardship and strong data governance standards
  • Identifying and working with data owners (producers) and consumers
  • Setting up the framework to operationalize and govern
  • How data quality and data security are implemented for stewarded data
  • How risk management plays a role in strong data stewardship
  • Collaboration with IT development partners and architecture
  • Keys to success (people, processes and tools)
  • Post Production: How does this work once the systems are productionalized?

Level of Audience
Introductory

Speakers:
Van Lin Van Lin
Shared Information Support, Director
Freddie Mac

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  Stephanie Grimes Stephanie Grimes
Shared Information Support, Manager
Freddie Mac

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Tuesday
June 13
4:45–5:30

 

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What do you do now that Data Quality is in your DNA?
Ken Mudd, Manager, Material Data Governance, Illumina, Inc
Sally McCormack, Data Quality Practice Lead, Datasource Consulting

Two years ago, we presented a case study discussing a successful SAP implementation leveraging Data Quality and Data Governance. What roles do Data Quality and Data Governance play now that the data has been converted and migrated over successfully to SAP?

In this session, the presenters will step through the main business drivers associated with the Data Quality and Data Governance initiatives, the tools needed and leveraged and, most importantly, how to attract and engage key business owners of the data to support 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 data
  • Why you should forget about traditional IT practices when establishing Data Governance and Data Quality programs

Level of Audience
Intermediate

Speakerss:
Ken Mudd Ken Mudd
Manager, Material Data Governance
Illumina, Inc

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  Sally McCormack Sally McCormack
Data Quality Practice Lead
Datasource Consulting

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Tuesday
June 13
4:45–5:30

 

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Data Governance by "Stealth" - How to Right-Size your Data Governance Effort
Donna Burbank, Managing Director, Global Data Strategy, Ltd

This session covers how to best align a data governance initiative with business motivations & drivers, how to "sell" to management, and how to quantify success.  It’s often difficult to get funding and buy-in for new data governance initiatives. Why is it that, even when there is support from the highest levels in the organization, often at the CEO and/or CIO level, data governance initiatives fail to gain traction within the organization? 

This session will cover effective ways to gain buy-in and support for Data Governance in your organization.

Topics include:

  • Aligning with Business Drivers & Motivation
  • How to "Sell" Data Governance
  • "Right-sizing" data governance to align with the organization’s ways of working
  • Concrete Processes & Best Practices for Implementation
  • Case Studies from Successful Organizations

Level of Audience
Introductory

Speaker:
Donna Burbank Donna Burbank
Managing Director
Global Data Strategy, Ltd

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Tuesday
June 13
4:45–5:30

 

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7 Data Predictions for 2017: A Midyear Review  
Stan Christiaens, Co-founder and CTO

In late 2016, Collibra made seven data predictions for 2017. Now that we’re nearly halfway through the year, let’s see how many of these predictions came true. 

During this session, Collibra co-founder and CTO Stan Christiaens will share:

            • What’s coming true…and what’s not
            • How their predictions change for the second half of the year
            • What we anticipate for the rest of 2017 and beyond

Level of Audience
All Levels

Speaker:
Stan Christiaens Stan Christiaens
Co-founder and CTO
Collibra

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Tuesday
June 13
4:45–5:30

 

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Kick Starting Data Governance: Triumphs and Challenges  
Lori Lennox, Director, Business Strategy and Analytics, Canadian Medical Protective Association

Everyone has bought into the need for Data Governance, but how do you build momentum, demonstrate value and convince people to continue investing in an ongoing program? What will ensure that the program gains the visibility and attention required to ensure success, while ensuring data quality and good governance? This presentation describes the first year evolution of implementing a corporate data governance program, contributions to business objectives, and steps to ensure success and mitigate risks.

Primary takeaways:

  • Determine priorities and deliver results
  • Communicate value and gain executive and board support
  • Balance between demonstrating impact and focusing on data architecture and quality

Level of Audience
Introductory

Speaker:
Lori Lennox Lori Lennox
Director, Business Strategy and Analytics
Canadian Medical Protective Association

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5:30 - 7:30 EXHIBITS AND RECEPTION
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