Conference Sessions - June 29, 2011

Wednesday
29 June
7:30–8:30
Registration and Continental Breakfast
7:30 - 8:15 

Wednesday
29 June
7:30–8:15

 

Data Governance

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Can Data Really Be Governed?
PANEL
Moderator: Michael Scofield, Asst. Professor, Loma Linda University
Mike Ferguson, Managing Director, Intelligent Business Strategies Ltd
Sunil Soares, Director, Information Governance, IBM Software Group
Martha Dember, Solution Partner, EMC Consulting
Salvatore Passariello, Director, PwC


  • Is governing data too daunting a task for most organizations?
  • Is enterprise data governance a reality or wishful thinking?
  • What data is worthy of governing?
  • What characteristics make it important?
  • What specific limitations do you want to impose upon corporate behavior by governance?
  • What adverse actions do you want to prevent?
  • How do you know when data governance is working?
  • Are most organizational cultures conducive to successful data governance?

Join us for an early morning panel discussion where these and other questions regarding the realities of data governance will be discussed.

PANEL:
Michael Scofield

Moderator:
Michael Scofield

Asst. Professor
Loma Linda University

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Mike Ferguson Mike Ferguson
Managing Director
Intelligent Business Strategies Ltd

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Sunil Soares Sunil Soares
Director, Information Governance
IBM Software Group

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Martha Dember Martha Dember
Solution Partner
EMC Consulting

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Salvatore Passariello Salvatore Passariello
Director
PwC

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Wednesday
29 June
7:30–8:15

 

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Meet the MPO and Learn How to Include Governance in Your Metadata Strategy
Dan Myers, VP of Operations, Meta-Data Professional Organization

The Meta-Data Professional Organization (MPO) is a non-profit international association comprised of business and IT professionals in all areas of meta-data practice. The MPO brings together individuals with interests, expertise, or hands-on experience in meta-data use from all areas of private and public enterprise throughout the world and seeks to disseminate technical and professional information to meta-data practitioners of all levels of experience.

Join us on Wednesday morning June 29th and learn more about the MPO and participate in a discussion on governing metadata.

Key discussion topics include:

  • The difference between metadata management and metadata governance
  • How to govern metadata without a formal metadata management program in place

This meeting is open to all conference attendees. You do not need to be a member of the MPO to attend this meeting.

For further information about the MPO please visit www.metadataprofessional.org.

Speaker:
Dan Myers

Dan Myers
VP of Operations
Meta-Data Professional Organization

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Wednesday
29 June
7:30–8:15

 

IDQ

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Getting Buy-In for Data Quality through Effective Communications
Laura Sebastian-Coleman, IT Manager, Data Quality, OPTUM Insight
Cynthia Hartman, Sr. Business Consultant, The Hartford Financial Services Group

More often than we would like, people’s eyes glaze over when we start talking about data quality or governance. Another issue is that many refuse to acknowledge that data quality problems exist, because they are afraid to be blamed for them.

Effective communication means communication that sticks: people engage in the dialogue, remember your message and act on it.

How do we craft effective communications so we can enlist the support of our colleagues? What is the role of metaphors and stories? How do we create a blame-free environment that promotes trust and open discussion of the data quality problems that hurt business performance?

Join this engaging and interactive session to hear and share best practices for effective data quality and data governance communications.
Speakers:
Laura Sebastian-Coleman

Laura Sebastian-Coleman
IT Manager, Data Quality
OPTUM Insight

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Cynthia Hartman Cynthia Hartman
Sr. Business Consultant
The Hartford Financial Services Group

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arrow8:30 - 9:30 CONCURRENT SESSIONS

Wednesday
29 June
8:30–9:30

Data Governance

 

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SRP's Voyage Toward Enterprise Information Stewardship: Boldly going where no utility company has gone before!
Terry Mooney, Manager of Information Consulting Services, Salt River Project (SRP)
Madison Malinowski, Learning Analyst, Salt River Project (SRP)


SRP's Stewardship program develops an Enterprise Information Management Discipline through a sustaining change model; closing the loop between measuring Information Management (IM) behaviors and advancing organizational IM maturity.

The following components highlight the program:

  • Information Management maturity goals feed the change management loop
  • Assessment projects classify unstructured information and procedurally move valued records to managed systems (SharePoint)
  • Education and technology tools help employees eliminate R.O.T., increasing work efficiencies and reducing risk for eDiscovery
  • An applied learning model communicates and teaches IM concepts and assigns real world IM work as practice opportunities for Stewards
  • Governance and IM Scorecard is used to measure organizational and individual IM performance and identify IM gaps, increasing process consistency and advancing IM maturity goals
Speakers:
Terry Mooney

Terry Mooney
Manager of Information Consulting Services
Salt River Project (SRP)

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Madison Malinowski

Madison Malinowski
Learning Analyst
Salt River Project (SRP)

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Wednesday
29 June
8:30–9:30

Data Governance

 

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6 in 60: Six Data Governance Case Studies in Sixty Minutes  
Robert S. Seiner, President and Publisher, TDAN.com/ KIK Consulting & Educational Services
This one hour session from Robert S. Seiner will quickly cover case study samples from six successful data governance program implementations. The pace of this session will be fast and will be arranged to highlight similarities and differences in the approaches that were used by these organizations.

Items that will be discussed include:
  • Best Practices for Getting Started
  • Operating Models of Roles & Responsibilities
  • Use of Meta-Data Templates and Techniques
  • Communications and Awareness Activities
  • Critical Success Factors
Speaker:
Robert S. Seiner

Robert S. Seiner
President and Publisher
TDAN.com/ KIK Consulting & Educational Services

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Wednesday
29 June
8:30–9:30

Data Governance

 

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How to Integrate DG into your Enterprise Strategy: Create Visibility, Impact and a Cultural Fit for Your Program
Becky Briggs, Senior Manager, Data Steward, ARC


ARC will share how they have integrated all aspects of their Data Governance Program into their Strategic Plan, Strategy Maps, Enterprise Risk Map, Divisional/Departmental Balanced Scorecards, cascading the program down into the organization. This process has ensured the viability and cultural fit of data governance down to the lowest levels of the organization. Evolution of the program has provided for improving the capabilities of individuals as well as groups across the company while, at the same time, meeting the evolving needs and delivering value to the organization.
Speaker:
Becky Briggs

Becky Briggs
Senior Manager, Data Steward
ARC

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Wednesday
29 June
8:30–9:30

Data Governance

 

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Using Data Governance to Mature End-User Computing 
Sean Kimball, Chief Enterprise Architect, MetLife

In many enterprises spreadsheets are used in large numbers for financial modeling and various kinds of reporting. However, this widespread use carries with it risks arising from data quality and other issues. Yet, the convenience of spreadsheets is well-liked by users. How do you change this environment? This presentation describes a multi-pronged approach taken in a large bank that encountered such a situation. It is a mixture of both governance and empowerment of end-users, and includes the introduction of a new architecture for data access. Users are able to locate data they require and assemble it in new end user environments where they can create reports in a more controlled fashion. A semantic layer enables the users to perform the data discovery. This approach solves many of the issues that have occurred in spreadsheet-driven environments.

Attendees will learn:

  • Why spreadsheet-driven environments are risky and need to be brought under governance
  • Basic governance that can be quickly implemented to control spreadsheet end user computing
  • Advanced governance that empowers users by providing a self-service approach to data access
  • How the governance is integrated with technology to achieve its goals
  • Striking a balance between user needs for end-user computing and regulatory and other requirements.
Speaker:
Sean Kimball

Sean Kimball
Chief Enterprise Architect
MetLife

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Wednesday
29 June
8:30–9:30

IDQ

 

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Data Visualization:  Achieving Quality at the End of the Data-to-Information Life Cycle  
Michael Scofield, Assistant Professor, Loma Linda University

Data goes through many steps before it becomes information whose ultimate value is realized when supporting major decisions by managers and executives. How that information is finally computed and presented contains significant quality issues. Decision-makers don’t want to worry about granularity of data, or how it is integrated, or how it is aggregated and transformed into information. They also are not interested in the various “qualifications” of information expression (all the stuff which should be placed in footnotes), even though they should understand (as Deming put it) the “weaknesses of the data”. But professional competence demands that we tell them enough to not mis-use the data. Then, we must express it in ways which are not misleading.

Data management and DQ professionals are also, technically, “business users” of data, and thus can also benefit from good data visualization techniques.

You will learn:

  • appropriate and inappropriate usage of the popular charting forms
  • a rogue’s gallery of really bad & misleading charts
  • the role of footnotes and caveats which can be vital
  • the benefits of both summary and granular expressions of volatility
Speaker:
Michael Scofield

Michael Scofield
Assistant Professor
Loma Linda University

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Wednesday
29 June
8:30–9:30

IDQ

 

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A Data Quality Program in the Healthcare Industry 
Eric Landis, Senior Data Steward, Prime Therapeutics


As we complete our data warehouse and continue to build complex analytical modeling tools with this data, data quality is becoming a significant priority. Therefore, Prime is beginning a data quality program in order to protect its investment in these analytical tools. In the Fall of 2010, Prime initiated a data quality monitoring project in order to build and establish a data quality baseline, as well as define roles and responsibilities for monitoring and improving data quality. The pharmacy benefit plan data was used as a pilot program that can be leveraged across other subject area domains.

This presentation describes how we accomplished the following project objectives:
  • Develop foundation and processes for identifying, managing and remediating data quality issues.
  • Build and implement a data quality rule repository for pharmacy benefit data.
  • Develop foundation and processes for identifying and managing data quality rules.
  • Design and implement a data quality scorecard to baseline and monitor data quality.
Speaker:
Eric Landis

Eric Landis
Senior Data Steward
Prime Therapeutics

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9:30 - 10:15 BREAK AND EXHIBITS OPEN
10:15 - 11:15 CONCURRENT SESSIONS

Wednesday
29 June
10:15–11:15

Data Governance

 

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PANEL: Measuring the Value of Your Data Governance Program
Moderator:
Kira Chuchom, Enterprise Data Quality and Data Governance Cisco Systems Inc.
Panelists:
Becky Briggs, Senior Manager, Data Steward, Airlines Reporting Corporation
Michele Koch, Director Data Governance Office, Sallie Mae
Pablo Riboldi, Information Governance Manager, LDS Church


Learn how your peers at other organizations are measuring and showing  the value of their data governance program.

Learn how  dashboards, scorecards, maturity models, data quality measurements, reporting and much more are being utilized by practitioners to measure and show the value of their programs.

Moderator:

Kira Chuchom

Kira Chuchom
Enterprise Data Quality and Data Governance
Cisco Systems Inc.

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Panelists:

Becky Briggs

Becky Briggs
Senior Manager, Data Steward
Airlines Reporting Corporation

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Michele Koch Michele Koch
Director Data Governance Office
Sallie Mae

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Pablo Riboldi Pablo Riboldi
Information Governance Manager
LDS Church

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Wednesday
29 June
10:15–11:15

Data Governance

 

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DG Structure – Convincing Your C-Level What Works and Why
Jim Orr, Director of Business Development NA,
Information Builders


Got a great structure on paper but cant’ seem to make it fly or are you simply struggling with where to start? Like so many data governance stakeholders you can find consensus around the importance of structure but getting people, especially the top brass to endorse your model is another story. This session provides a detailed account of the fundamental yet often overlooked concepts of a data governance structure and how it satisfies business leader interests. Most importantly it demonstrates the value behind these concepts and why they position the organization for success. Whether you have already implemented a structure or are starting from scratch this session is for you. Join Jim Orr as he talks to the concepts and best practices for establishing a data governance structure that meets the comprehensive needs of the organization and its business leadership.
Speaker:
Jim Orr

Jim Orr
Director of Business Development NA
Information Builders

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Wednesday
29 June
10:15–11:15

Data Governance

 

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Recruiting, Retaining, and Rewarding IT and Data Governance Professionals
David Van De Voort, Partner and Senior Consultant in Information Technology Workforce Strategies, Mercer

Governance has rapidly evolved to become one of the most prominent and critical management processes within the IT function, and for linking and aligning the IT function with the business. Governance demands new skill sets and competencies of IT managers and professionals. Governance "black-belts" are in high demand and short supply. Locating skilled IT governance talent and retaining and rewarding key IT Governance contributors are among the greatest "people management" challenges facing the CIO and CHRO. In this session we will present current benchmarks for organization structures, role definition, career paths, and compensation for the Governance function and the Governance professionals who staff it.

Participants will receive:

  • current data on salaries and incentive compensation for IT Governance professionals.
  • sample job descriptions and competencies for IT Governance professionals
  • model career paths and job leveling criteria for IT Governance professionals
Speaker:
David Van De Voort

David Van De Voort
Partner and Senior Consultant in Information Technology Workforce Strategies
Mercer

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Wednesday
29 June
10:15–11:15

Data Governance

 

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2011 DG Best Practice Award Finalist
Data Governance Lessons (Re) Learned: Expanding Data Governance at ConAgra Foods 
Jeff Kazor, Director Data Governance, ConAgra Foods


In mid-2010, ConAgra Foods was preparing for the end of a three year journey to bring its Supply Chain functions in line with a common operating platform and with it an ongoing commitment to a common Data Governance Strategy. At that time the ConAgra Foods Data Governance Team began to adjust from a system migration mode into a data maintenance mode as well as begin to optimize their Data Governance processes. This focus on continuous improvement, fed an internal Data Governance Team desire to accelerate their evolution from a Point to Point to a Selective Distribution operating model, establishing the organization as an Enterprise function in more than name only. Concurrently, several large scale projects emerged requiring the support of many IT and business resources, including the ConAgra Foods Data Governance Team. This challenge put the ROI of the desire of the DG team to accelerate their evolution, and the ROI of the emerging projects into conflict. In this presentation learn about the challenges that the ConAgra DG team faced as they expanded Data Governance into new frontiers within the Enterprise. Discover how these efforts challenged the widely-held belief that the other business areas could be easily assimilated into the existing Data Governance operating model. Additionally, learn how conflicts created opportunities for new lessons learned and old lessons (re)learned in the evolution of the ConAgra Foods Data Governance Team.
Speaker:
Jeff Kazor

Jeff Kazor
Director Data Governance
ConAgra Foods

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Wednesday
29 June
10:15–11:15

IDQ

 

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Information Quality: A Journey that Pays Dividends
Roger Oed, Asset Information Manager, WEL Networks Ltd


WEL Networks Ltd (WEL) has adopted a progressive approach to information quality, designed to address organizational changes and opportunities in a fast-moving electrical utilities market.

These include:

  • The dismantling of the drawing office and the introduction of a Geographic Information System (GIS) application
  • The introduction of a computerized maintenance management system (CMMS)
  • The implementation of a data warehouse and the problems it exposed
  •  The introduction of new technology (smart meters, embedded generation, a new network management system and a wind farm)
  • The integration of a recently won government contract to install ultra fast broad band in the region
  • Unnecessary duplication of site visits by maintenance staff.

This case study describes how we:

  • Adapted a widely available Information Quality Maturity model and used it to help senior management understand how effectively WEL manages the quality of our information, and to evaluate the associated costs and potential benefits from improvements.
  •  Used the triangulation technique in an internal survey, to identify a pervasive information asymmetry between staff and executives, and to create organizational alignment around the need to improve information quality.
  • Implementing the TIQM framework to create a holistic and integrated information quality environment, by selecting the most strategic data sets, analyzing the information value chain, and measuring the cost benefits of information requirements.
Speaker:
Roger Oed

Roger Oed
Asset Information Manager
WEL Networks Ltd

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Wednesday
29 June
10:15–11:15

IDQ

 

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Meeting the Requirements for ISO 8000 Quality Data  
Peter Benson, Executive Director, Electronic Commerce Code Management Association


We are a data dependent society where every event, every individual, every organization, all locations, goods and services are represented by data. This session addresses the intrinsic characteristics of data that define its quality and why quality data is required but not sufficient for quality information. We also discuss how data quality relates to data portability and why data portability is so important when the expected life span of a software application is measured in months and the expected life span of data is measured in decades. This session presents the practical use of ISO 22745 in expressing data requirements, measuring the quality of data and exchanging quality master data.
  • What are the differences between information and data quality and why is it important?
  • How do you use ISO 8000 to objectively measure data quality?
  • What is data provenance?
  • How do you use ISO 22745 to request and exchange quality master data?
  • What do you do when you see an ISO 8000 compliance requirement in a contract?
Speaker:
Peter Benson

Peter Benson
Executive Director
Electronic Commerce Code Management Association

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arrow11:45 - 12:15 GOVERNANCE AND IQ SOLUTIONS

Wednesday
29 June
11:45–12:15

 

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Automating Communications in the Data Governance Process
Martha Dember, Solution Partner, EMC Consulting


A critical part of data governance is communication among the team members responsible for maintaining the process. EMC Consulting will demonstrate how the EMC Archer tool can automate the workflow and simplify this process. Learn how to streamline the process of tracking issues throughout the resolution lifecycle, including triggering appropriate communications during the process and monitoring results once solutions are implemented.
Speaker:
Martha Dember

Martha Dember
Solution Partner
EMC Consulting

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Wednesday
29 June
11:45–12:15

 

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Developing an Information Governance Strategy
Sunil Soares, Director of Information Governance, IBM Software Group

Today more than ever, organizations need to make faster decisions based on the information at hand while dealing with increasing privacy risks and the ever growing requirements to comply with regulations. All of this is driving organizations to recognize the need to take a more strategic approach to managing information. For these reasons, information governance is an increasingly important area that is directly tied to an organization’s ability to enhance the quality, protect, audit, manage and ultimately increase the value of your organization’s enterprise information throughout its lifecycle — into Trusted Information. Join Sunil Soares, Director of Information Governance at IBM, as he discusses the core information governance disciplines that can help enhance your organization’s capabilities by leveraging people, process and technology to ensure your enterprise information is of highest quality, protected and managed throughout its life-cycle.
Speaker:
Sunil Soares

Sunil Soares
Director of Information Governance
IBM Software Group

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Wednesday
29 June
11:45–12:15

 

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Leveraging Data Governance Maturity Models
Salvatore Passariello, Director, PwC

Data Governance Maturity Models help organizations understand their current level of information management maturity.  Used correctly it can be instrumental in assisting organizations in identifying an appropriate data governance framework and roadmap for future data management growth. When an organization embarks on the Data Governance journey it is first important to understand and identify your current stage of maturity and where you aspire to be in the future (1 year, 2years, and 3 years out).

Organizations that plan this evolution in an organized and structured way will gain competitive advantage over those organizations that are forced to change due to external and regulatory forces. The Data Governance Maturity Model can help provide the structured approach required to develop your Data governance framework, strategy and roadmap to data excellence.

During this session we will discuss PwC's approach to leveraging and adapting Data Governance Maturity Models to fit your organizational culture. Additionally we will walk thru a case study focusing on how Data Governance Maturity models were leveraged to develop an organizations CDI Governance framework, strategy and Roadmap.

Speaker:
Salvatore Passariello

Salvatore Passariello
Director
PwC

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Wednesday
29 June
11:45–12:15

 

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How Metadata Management Will Help you Avoid Lawsuits and Keep Your Job When Audited
James Cerrato, Chief Product Evangelist, Adaptive
Jeff Goins, CEO, Adaptive

Are you ready when auditors ask questions like these?
  • How do you ensure that both application and database programmers are working with the most up-to-date approved business definitions of terms as they appear on financial reports?”
  • How are changes to data definitions and terminology managed and applied to the impacted systems, databases and reports?
  • Where does  each financial report field originate, what calculations have been performed that store results into those fields?
  • What quality controls have been applied to guarantee the correctness of the data?
  • Who has responsibility for attesting to the accuracy of specific data elements and the applications that act on them?                                       

This presentation will show how the Adaptive repository solution provides the capabilities critical to achieving successful data governance and compliance.

  • Maintain a Single Point of Truth for managing definitions and terminology with traceability to technical metadata, business processes and ontologies
  • Integration of metadata from a very broad set of tools and technologies to provide data lineage and impact analysis
  • Ability to prioritize how quality management is applied to critical data elements, as defined by those that contribute to information that will be audited
Speakers:
James Cerrato

James Cerrato
Chief Product Evangelist
Adaptive

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Jeff Goins Jeff Goins
CEO
Adaptive

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1:30 - 2:30 CONCURRENT SESSIONS

Wednesday
29 June
1:30–2:30

Data Governance

 

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Data Governance for Business Decision Management Systems
Jacob Feldman, CTO, Open Rules

Whether it is loan approval, insurance underwriting, customer service tactics, or something else, business decision can affect customer satisfaction, competitive analysis, and profitability. It puts Business Decision Management System (BDMS) in the center of modern enterprise architectures. A good BDMS needs to support a full cycle of discovering, maintaining, testing, and executing decision models, including governance of decision support data. While decision models and supporting business rules usually maintain highly efficient data connections, they should remain completely independent from the data organization and data sources. However, there are two types of decision support data that are subject to a special governance concern: a) test data that covers all possible combinations of fact types for inter-related rule families; b) historical data that serves as a source for business rules discovery, their compression, and "ever-going" learning. In this presentation we share real-world experience with planning, implementation and control processes to provide and maintain such data. We will present concrete examples of decision models and related data governance processes.
Speaker:
Jacob Feldman

Jacob Feldman
CTO
Open Rules

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Wednesday
29 June
1:30–2:30

Data Governance

 

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Maturing Data Management Governance at UPS
Patti Munier, Data Administration Technical Specialist, UPS


UPS is the world's largest package delivery company and a leading global provider of specialized transportation and logistics services. In 2010, their Data Management Department was asked to go build Data Governance. The team assigned to the task quickly found that the foundational capabilities that were necessary for Data Governance lied within their own domain of responsibility. Before an effective Data Governance program could be rolled-out to the Enterprise, the Data Management Department would have to fortify their own governance controls.

Over the following year, with a tight budget, they developed and implemented various governance processes and capabilities including:

  • A content subscription based communication framework that utilized the existing MS SharePoint infrastructure
  • A scorecard that both measured Data Management maturing activities and incentivized individual contributions to improving the Data Management practice
  • Succinct and reusable policies and procedures around the development, approval and maintenance of any informational asset
Speaker:
Patti Munier

Patti Munier
Data Administration Technical Specialist
UPS

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Wednesday
29 June
1:30–2:30

Data Governance

 

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Choosing Your Data Governance Strategies: From All-You-Can-Eat Buffet to Haute Cuisine
Pablo Riboldi, Information Governance Manager, LDS Church

It seems that DG strategies are as numerous and varied as the plates served at a cruise’s 24-hour buffet. However, the strategies for a particular DG program are probably more like the menu at fast-food corner stand. Nothing wrong with that, because you need to focus your resources on the most valuable strategies for your organization, choosing the best strategies for your DG Program is critical. But, how do you choose? What do you choose?


In this presentation, we will survey the available menu of DG Strategies and you will learn:

  • How to choose DG strategies.
  • What are the drivers your organization?
  • How do these drivers affect the strategy choice?
  • How to show the strategies value to the organization.

This session will help you present the strategies for your own DG Program as a finely crafted menu for best taste of your organization.

Speaker:
Pablo Riboldi

Pablo Riboldi
Information Governance Manager
LDS Church

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Wednesday
29 June
1:30–2:30

Data Governance

 

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Data Governance of Unstructured Data and Documents - Case Study of a Health Insurance Company
April Reeve, Senior Practice Consultant, EMC Consulting

The majority of data in any organization is unstructured (found outside relational databases). Additionally, some businesses have a specific focus on document management and unstructured data such as mortgage companies, pharmaceutical firms, and health insurance companies. Health insurance companies have a lot of physical and electronic documents to manage particularly because of the claims that are submitted and the accompanying material.

The Data Governance program at this health insurance company was initiated out of the Legal department as well as the IT organization. Recently, there is a special emphasis in Data Governance, especially around document management, around creating and acting on data retention policies and expiration dates. Organizations are looking for an opportunity to lower the volumes of stored data by eliminating any data that does not need to be kept. Legal departments are emphasizing the risk around keeping any data (including and especially email) that is not specifically required.
  • Health Insurance Claims – requiring a focus on Unstructured Data
  • Examples of other document oriented businesses
  • Business drivers at the health insurance company for Data Governance of Unstructured Data
  • Similarities in the Data Governance of Unstructured Data and Documents – the emphasis on Master Data Management
  • Differences in the Data Governance of Unstructured Data – the emphasis on document retention policies; metadata by document type
  • Current status of the Data Governance program
  •  Lessons learned
Speaker:
April Reeve

April Reeve
Senior Practice Consultant
EMC Consulting

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Wednesday
29 June
1:30–2:30

IDQ

 

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A Guide to Improving Data Quality by Eliminating Duplicate Data Using Entity Resolution
John Talburt, Professor, Information Science at the University of Arkansas at Little Rock
Yinle Zhou, Research Associate, Information Science at the University of Arkansas at Little Rock

Many data quality problems are the result of duplicate and redundant master data within and across operational systems. Unlike data cleaning and standardization tools that address problems at the record level, the elimination of master data duplicates requires methods and techniques that successively compare, group, and purge large numbers of master records. This session will explain four basic approaches for solving this problem including record linking, database join, identity resolution, and identity captures. It will also cover three case studies highlighting the use of these approaches.

Topics include:
  • The impact of redundant and duplicate master data
  • The advantages and disadvantages of the different duplicate identification and removal methods
  • The keys to successfully mounting and maintaining a deduplication process for master data
Speakers:
John Talburt

John Talburt
Professor. Information Science
University of Arkansas at Little Rock

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Yinle Zhou

Yinle Zhou
Research Associate, Information Science
University of Arkansas at Little Rock

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Wednesday
29 June
1:30–2:30

IDQ

 

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Driving Information Quality Management Through ISO 9001 - A Case Study
Grant Robinson, Information Quality Coordinator, NSW Office of Water

Our organization has employed the ISO 9001 Quality Management System since 2001 to underpin its operations, monitor its practices and drive continuous improvement. This case study describes the fundamentals of ISO 9001 and shows how we have implemented the standard to drive information quality.

Topics include:

  • Management responsibility: ensures a top down approach so that all staff have involve with the quality program
  • A strong focus on staff development and training
  • Use of an internal and external audit program to identify system issues which imp[act on data quality
  • Deployment of ITIL compliant call management software to log, track, manage and analyze quality in our data gathering operations and information
  • Identifying and publishing standards for data quality within our state during 2010, and promoting them nationwide throughout Australia in 2011
  • Process improvements.
Speaker:
Grant Robinson

Grant Robinson
Information Quality Coordinator
NSW Office of Water

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arrow2:45 - 3:45 CONCURRENT SESSIONS
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Wednesday
29 June
2:45–3:45

Data Governance

 

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Implementing Data Governance through Project Methodology
David Plotkin, Manager of Data Governance, AAA of Northern Ca, Nevada, and Utah

When it comes to Data Governance, it seems like a good idea to integrate the whole process – including metadata and data quality – into any project that handles data. To do so, you need to add milestones, tasks, artifacts (such as forms that need to be filled out) to the project plan, ensuring that all these items find their home in the correct stage of the project. But what do these items look like, and where is the proper place to put them in the project methodology. And how do you establish responsibility and staff a project with the necessary skill set to make sure everything gets delivered. This presentation answers these questions, discusses the logistics of maintaining the Data Governance artifacts, and provides detailed examples of the forms needed.

You will learn:

  • The stages of a project that need data governance
  • The forms needed (with examples) to execute on the project plan
  • How to convince project management that data governance on a project is a good idea and worth expending resources (and expanding the timeline) for.
  • How to review the results and ensure that they meet your standards
Speaker:
David Plotkin

David Plotkin
Manager of Data Governance
AAA of Northern Ca, Nevada, and Utah

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Wednesday
29 June
2:45–3:45

Data Governance

 

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Data Governance Communications
Peter Aiken, Founder, Data Blueprint

This talk will describe steps required to develop data governance communication. While data governance isn't a new concern for organizations, many parties are newly exposed to the wider needs for data governance and the unacceptable results of poor data governance increasing awareness. Developing an efficient/effective communication plan is a critical success factor in the success of any data governance organization. In the past, the majority of plan focus has been on technical aspects of data governance. Now we know that at least three data governance communication-types (internal, responsive, and proactive) are required for your organization. Other aspects of data governance communication planning include: when specifics are required, where to get certain information, and how to develop and implement the plan.
Speaker:
Peter Aiken

Peter Aiken
Founder
Data Blueprint

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Wednesday
29 June
2:45–3:45

Data Governance

 

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Structuring Data Governance: Automation, Communication and Policy Management
Susan E. Lewandowski, Business Intelligence Director & Data Governance Head, Scotiabank México


When Scotiabank México decided to focus on using data governance to drive higher integrity, in particular, consistency of their data, they knew they wanted to base their program around managing and improving the data policies that help drive their business processes. The challenge was how to efficiently operationalize those data policies to offer tangible value to business users. This presentation will discuss the prescriptive approach Scotiabank Mexico took to data governance and the processes they are implementing to manage, communicate, implement and enforce those policies.

Specifically, this presentation will cover how Scotiabank was able to:

  • Get a data governance program up and running fast
  • Design a data governance program built on effective communication
  • Automate processes around data governance to provide structure and improve adoption
  • Develop trackable, auditable processes for authoring, implementing and measuring compliance to policies.
Speaker:
Susan E. Lewandowski

Susan E. Lewandowski
Business Intelligence Director & Data Governance Head
Scotiabank México

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Wednesday
29 June
2:45–3:45

IDQ

 

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Business Cases for Data Quality and Straight-Through Processing
Nancy Pullen, Data Quality Manager, EnerNOC Inc

Question: How do you manually clean up and process over 50 million records/day? Answer: You can’t! Enter data quality and straight-through processing.

As a start-up company with 20 people and few customers, we were able to visually inspect our incoming data and manually fix data points in critical event windows when necessary. As a 500-person company with over 7,000 customers, 50 million records/day, and a need for 24/7 data quality, this is not only infeasible, it’s bad business!

This case study describes the business cases we developed to address the needs of the organization’s decision makers in key departments, in order to secure their support for data quality and straight-through processing
Speaker:
Nancy Pullen

Nancy Pullen
Data Quality Manager
EnerNOC Inc

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Wednesday
29 June
2:45–3:45

IDQ

 

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Data Quality In Display Advertising
Mariena Quintanilla, Data Quality Lead, Yahoo!
Jaya Pati, Sr. Quality Engineer, Yahoo!

After establishing a successful Data Quality program in one part of the company, the Yahoo central DQ team was asked to expand to cover all company data systems. Having come from a different "side" of the company the DQ team was confronted with multiple challenges in the new divisions:
  • Adapting to multiple new data models and flows as well as different organizational structures
  • Evaluating business impact and customer priorities
  • Defining the DQ program goals, scope and priorities relative to product roadmaps

The approach used has been refined over the past year to meet new divisional challenges with a continued focus on the major DQ program success factors: core monitoring system, strong product stakeholder and data customer engagement, lean/scrappy delivery of incremental solutions. This has been challenging but has helped us get to an execution structure that is already delivering results and improving the quality of data in the new systems. In this presentation we will share challenges and solutions combining a "top down" and "bottom up" execution model in implementing DQ in different business models and data systems.

Speakers:
Mariena Quintanilla

Mariena Quintanilla
Data Quality Lead
Yahoo!

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Jaya Pati

Jaya Pati
Sr. Quality Engineer
Yahoo!

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4:00 - 5:00 KEYNOTE PANEL

Wednesday
29 June
4:00–5:00

 

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KEYNOTE PANEL:
The Future of Data Governance and Data Quality

Moderator:
Danette McGilvray President and Principal, Granite Falls, Inc
Steve Zagoudis, CEO, MetaGovernance Inc.
C.Lwanga Yonke, Advisor, IAIDQ
David Plotkin, Data Governance Manager, AAA of Northern Ca, Nevada, and Utah
John Talburt, Professor, Information Science, University of Arkansas at Little Rock
Robert S. Seiner, President and Publisher, TDAN.com/ KIK Consulting & Educational Services


As Data Governance and Information Quality mature, the two disciplines face many traditional challenges while they evolve to adapt to new business imperatives. As we reflect on the past three days, what questions are beginning to emerge about the coming years? What do the future of Data Governance and Information Quality hold? 

Join this exciting panel to discuss the following and more:

  • What are the likely future trends for Data Governance and Information Quality?
  • What will be the future role of Data Governance and Information Quality in the world of unstructured data?
  • What are the benefits and implications of moving towards an Information Governance paradigm?
  • What do the future Data Governance and Information Quality workforces look like within organizations?
  • What are the future roles of Data Governance and Information Quality within the emerging federated governance models?
  • How are Data Governance and Information Quality affected by the growing importance of Compliance and the rise of Cloud computing and SaaS?
Panel:
Danette McGilvray

Moderator:
Danette McGilvray
President and Principal
Granite Falls, Inc

   
Steve Zagoudis

Steve Zagoudis
CEO
MetaGovernance Inc. 


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C. Lwanga Yonke

C. Lwanga Yonke
Advisor
IAIDQ

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David Plotkin

David Plotkin
Data Governance Manager
AAA of Northern Ca, Nevada, and Utah

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John Talburt

John Talburt
Professor, Information Science
University of Arkansas at Little Rock

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Robert S. Seiner

Robert S. Seiner
President and Publisher
TDAN.com/ KIK Consulting & Educational Services

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Wednesday
29 June
5:00

Data Governance

 

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Data Governance Professional Organization
Sharing Experiences in Data Governance Working Group Session
Davida Berger, Founding President, Data Governance Professionals Organization


Interested in learning how your colleagues are addressing data governance at their organizations?  Join us after the keynote panel and network and share your experiences.about these groups and how they will help you in your data governance programs.
Speaker:
Davida Berger

Davida Berger
Founding President
Data Governance Professionals Organization

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Wednesday
29 June
5:00

IDQ

 

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International Association for Information and Data Quality (IAIDQ) Meeting
Christian Walenta, President, IAIDQ


All are invited to attend this meeting to get the latest update on IAIDQ activities including the IQ certification. You will also meet IAIDQ members and others who are interested in the association, and network with others who share a keen interest in information quality. IAIDQ leaders will present a brief overview of 2011 goals and solicit your input and ideas for future plans. Add your voice to the conversation!!
Speaker:
Christian Walenta

Christian Walenta
President
IAIDQ

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