Conference Sessions - June 26, 2012
| Tuesday 26 June 7:00–6:00 |
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| Tuesday 26 June 7:00–8:30 |
Continental Breakfast | |||||||||||||||
| 7:40 - 8:30 | ||||||||||||||||
Tuesday
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Start Your Day (and Conference) Right with the Data Governance Professionals Organization (DGPO) Michele Koch, VP Membership, Data Governance Professional Organization Robert S. Seiner, Lead Advisor, Data Governance Professional Organization Join members of the Data Governance Professionals Organization (DGPO) for an informative session about where this organization has come from, where it is presently, and where it is going. This session will also provide information about specific “hot” topics to look for throughout the conference and insight into how these topics can provide value to your Data Governance efforts. The DGPO is the only professional organization dedicated specifically to enhancing the projects and careers of data governance practitioners. Spend a few minutes with us to learn how the DGPO can be a dependable resource for all things Data Governance including maximizing the value of this conference. |
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Tuesday
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A National Approach to Data Quality
Standards Grant Robinson, Information Quality Coordinator, NSW Office of Water This presentation describes the approach taken by several Australian federal and state agencies to develop and implementing standards for data quality. The federal agency does not itself capture the data for the national database it is developing, but relies on over 80 state and local agencies around the nation to gather and supply the data. The Federal Agency’s Act empowers it to set and implement national information standards, which will provide a formal basis for data quality. The approach now being followed includes a mixture of mandatory and community standards:
The mandatory standards will require data providers to indicate
compliance with community standards through a range of data quality metrics and
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| KEYNOTE: Looking at Elephants Through Rose Colored Glasses John Ladley, President, IMCue Solutions There are a lot of talks about justifying data governance and data quality programs and selling data governance and data quality. We act as though data quality and governance are awesomely brand new science. Truth is, our business clients are kind of surprised that us data –types approach this as a new thing. The fact is we are catching up with the obvious. And if we aren’t careful we are going to look down right silly. Ask John, he’s looked silly a bunch! John will explore why we risk making our profession too esoteric and complicated to be taken seriously. Careful though, John has been called the Lewis Black of Data Governance – you might be entertained as well as informed. |
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KEYNOTE: Big Data Governance Big data governance is part of a broader information governance program that formulates policy to optimize and maintain the privacy of big data by aligning the objectives of multiple functions. Organizations need to govern big data just as they would other types of information such as master data and reference data. Organizations need to apply the traditional principles of information governance (metadata, data quality, security and privacy, and information lifecycle management) to big data. |
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| 10:40 - 11:30 CONCURRENT SESSIONS | ||||||||||||||||
Tuesday
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Adopting a
Maturity Model: A Critical First Step for Data Governance at Stanford
University A data governance maturity model is one of the most powerful tools in a practitioner's toolbox. Fledgling data governance programs should make a priority of adopting a data governance maturity model as early as possible. A carefully chosen model will enable progress to be quantified well before data quality improvements are measurable and will provide consistent metrics to track long term program growth. More importantly, when designed and utilized properly, a maturity model not only passively tracks progress but also drives organizational change while maintaining alignment between tactical efforts and strategic goals. This presentation will include:
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Tuesday
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Locating Compliance Sensitive Data in Structured and Unstructured Data Landscape Every company has types of data which is either business critical or has regulatory/compliance implications if not managed properly. When it comes to safeguarding Protected Health Information (PHI) such as SSN, Customer demographics etc. – there are regulatory requirements placed upon a company which if not managed properly can expose a company to unexpected breach, bad press, loss of faith by customers and financial penalties. So how exactly should a company manage such information such that compliance sensitive information stays away from accidental or malicious disclosure? Every company will devise its own solution to this problem, but there is a key theme which is common across the board (especially true for larger companies). That theme is, before you can fix something, you need to locate it first. This presentation will discuss the barriers all organizations face in finding the locations of business/compliance sensitive data and how UHC effectively used data profiling to solve this challenging business issue. |
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Tuesday
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Become a Power
Data Steward Tina McCoppin, Founder and Partner, Ajilitee Data Stewards have it tough. Pulled in multiple directions, they often juggle too much and fall prey to scattered responsibilities without generating lasting, impactful results. Similar to being on a yo-yo diet, Data Stewards often find themselves either going strong or losing steam. To strike the right balance of effort for sustained results, we recommend a Data Steward Health Plan that blends both cardio and weight training for data stewards to go the distance in their role. In other words, Data Stewards should blend a focus on standards and conformity, metadata, enterprise glossaries and data dictionaries ("cardio") with strength training to develop the skeletal muscles of your organization in such areas as enterprise data integration (EDI), data quality (DQ), and master data management (MDM). This pump-it-up session will pinpoint activities that really count for Data Stewards. The Data Steward Health Plan is designed to trim the time wasters (or "fat") and build cardiovascular endurance and muscle strength for optimal efficiency and results. We also will cover the latest specialized equipment (tools and frameworks) needed to target specific muscle groups and types of (data) movement to support your Power Data Steward training. This session will detail:
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Tuesday
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Data Governance at Export
Development Canada: Our Journey Towards Better Customer Data Jill Wanless, Senior Advisor, Export Development Canada Export Development Canada is Canada's Export Credit Agency. We are a self-financing Crown Corporation with the Government of Canada as our shareholder. EDC is a success story by any measure but that does not stop this Corporation from striving to understand its internal processes, improving results and lowering costs and above all focusing on the Customer. We will tell the story of how we began engaging Lean to turn a high performing organization into a Great one, one that is responsive to its customers and one that has come to understand that this journey is inextricably linked to our customer data. EDC has been working to improve the quality of its data over time with tangible results. We have learned that the organization's data processes and governance as well as the hearts and minds of its people have to be part of the change and so we have begun to build an even stronger foundation and address the issue of sustainability. This is our story. Learn about:
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Tuesday
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Under
the Hood of a Data Quality Program Startup at Sonic Automotive - A Case Study Lindsay DePree, Data Quality Manager, Sonic Automotive Doug Morgan, Data Warehouse Architect, Sonic Automotive Sonic Automotive, a Fortune 500 company, and among the largest automotive retailers, was faced with a data warehouse that provided little business value, data that was not understood, and an impending explosion of data centric application development. By working through one failed attempt at a data quality project, we re-evaluated and designed an enterprise data quality program that is embraced by Senior Management and technology project teams. This presentation will show how Sonic identified the need, seized the opportunity, and gained support to develop a data quality program enabling enterprise strategies through a partnership between the business and technology. Topics include:
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Tuesday
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Data Quality
Measurement: Common Knowledge, Common Sense & a Case Study Laura Sebastian-Coleman, Data Quality Architect, OPTUM Insight/UnitedHealth Group Experts agree that sustaining data quality requires ongoing measurement. Practitioners know that this is easier said than done. This presentation summarizes the typical the challenges of data quality measurement within the general context of measurement - how we associate comprehensible numbers with qualities we want to understand over time. It then describes the approach we took to measuring health care data warehouse data at OPTUM Insight. Finally, it highlights the results obtained and lessons learned through that implementation. Participants will learn about:
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| 11:45
- 12:15 GOVERNANCE AND IQ SOLUTIONS |
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Tuesday
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Data Governance Software Applied: from Data Stewardship to Master Data Governance Collibra is a data governance software vendor bringing Business and IT together to govern data as an enterprise asset. The Collibra Data Governance platform supports people, process and technology. In our session, we highlight how customers use Collibra to set up their cross-silo, organizational ownership around data domains (finance, sales, …). In this organization, they assign roles and responsibilities (e.g., data steward, chief steward, …) to people, who are then engaged through configurable, specific workflows (e.g., review, approval, intake, issue handling, …) to do the right thing at the right time. All this is properly captured through business and data definitions, easy-to-use taxonomy, hierarchy and reference data management, rules and policies for full business traceability. Through integration (DQ, MDM tooling) they can then leverage their existing infrastructure to bring Master Data Governance throughout the organization. |
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Tuesday
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From Data Chaos to Data Management: The Single-Platform Approach to Maximizing the Value of Data Companies worldwide are struggling with the spread of data throughout the enterprise – and an ever-growing mix of technologies to manage that data. In this session, participants will learn how a single platform for the key requirements of data management, including data quality and data integration capabilities, can help companies fix their data problems today and realize immediate benefits from their data assets. The session will also demonstrate how these capabilities can be extended to build the foundation for more complex, resource-intensive goals like data governance and MDM. |
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Tuesday
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Lean Mean Data Governance Machine The perfect synergy between the Lean principles and the core principles of Data Governance is undeniable. Much like the core ideals of Data Governance, the five principles of Lean enable your business to implement a philosophy that will become embedded into your organizations' culture. Lean and Data Governance ideologies drive the business to work towards the corporate strategy. The business is driven to consistently review processes and ensure that the end user is getting value from the service. Effective implementation of Lean Data Governance allows the business to grow into a robust yet flexible entity which is powered by a central hub - the "Lean Data Governance machine". We will discuss how your business can benefit from adopting fundamental aspects of Lean and data Governance and how this will impact you. |
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| 1:30 - 2:20 CONCURRENT SESSIONS | ||||||||||||||||
Tuesday
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A Day in the Life of a Data Governess Patrice Mantovani, Data Governance Manager, Cox-Manheim In mid-2010, Cox-Manheim took on a commitment to an enterprise-wide Data Governance Strategy as it achieved its 5-year anniversary. Starting from scratch in a highly siloed data environment with a private company that used Agile methodology and had only limited regulatory compliance needs, a strategy was established and the Data Stewards were appointed. In this presentation you will learn how to:
This session will lean toward the more light-hearted and creative aspects of data governance and how to get a cultural fit for your strategy. |
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Tuesday
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Using Data Management Technology to Take Advantage of Linked Data Steve Putman, Technical Consultant, DataFlux The concept of “linked data” is beginning to affect all areas of data processing, and for good reason. Freely-available reference data has been an important part of data transparency and citizen advocacy efforts. While this development is welcome, it is often assumed that this data is compatible with your organization's databases from both quality and structural perspective, but this is not always the case. Attendees of this session will get an overview of the types of linked data currently available and learn how to incorporate this data within internal applications – and how it can provide the foundation for future endeavors. |
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Tuesday
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How to Get Started and Scale Your Information Governance Program Whether you are just getting started in your information governance initiatives, or whether your company is struggling to reach success with governance, this is the right session for you. You will learn the common pitfalls of information governance programs and how to start small to ensure future success. In this session, we discuss how to:
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Tuesday
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Secrets of Affordable Data Governance In this session "Data Governance Imperative" author and blogger Steve Sarsfield discusses an agile approach toward data governance that is design to provide quick wins and continuous funding. Once you begin to make low-cost, high impact improvements, learn how you can hook your company on the power of data governance and use your accomplishments to solve bigger, badder data quality problems. In addition, Steve will examine the free and nearly free tools that are available to manage, enrich and enhance your data. |
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Tuesday
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A Value-Driven Approach to Data Readiness for Systems
Implementation and Data Migration Richard Trapp, Managing Partner, Northfield Consulting Group A primary reason for failed or sub-optimized systems implementations and data migrations is poor data quality. Yet, time and time again, the effort to ready legacy data for the new environment is grossly underestimated and mismanaged using antiquated approaches. In many cases, the task of getting legacy data ready for migration into new systems is handled outside of the project, often by teams who are unprepared to handle this critical function. This presentation describes a proven formal methodology and approach to achieve data readiness for systems implementations and data migrations. Specific examples and techniques are discussed. Topics include:
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Tuesday
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Data
Warehouse Data Quality: The Journey at IRS Research, Analysis, and Statistics
(RAS) Robin Rappaport, Sr. Operations Research Analyst, IRS This case study describes the data quality journey at the Internal Revenue Service (IRS), Research, Analysis, and Statistics (RAS) The Compliance Data Warehouse (CDW) started in 1997 at a terabyte. It has now grown to a petabyte with over 25,000 unique columns. Initiated in 2005, the Data Quality Initiative for CDW addresses Data Quality in six essential areas: Timeliness, Relevance, Accuracy, Interpretability, and Coherence. As the largest IRS database; CDW provides data, metadata, tools, training and computing services to hundreds of research analysts working to improve tax administration. CDW regularly receives high praise and rave reviews from customers around the country. CDW has in fact won industry and government recognition for Best Practices. Topics include:
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| 2:40
- 3:30 CONCURRENT SESSIONS |
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Tuesday
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Getting the Word Out: Effective Communication Techniques
to Promote Your DG Program Based on the award winning Sallie Mae Data Governance Program, this session will cover:
This behavior can be learned! |
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Tuesday
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Making Your Metadata Governance Program Sustainable Alix Kneifel, Information Management Consultant and Project Manager, Earley and Associates Have you assessed your taxonomy or metadata program recently? How do you get it back on-track and make it sustainable? A sustainable governance program includes a governance committee, a change management process, a configuration baseline, and key artifacts that work in tandem and form a cohesive framework. A governance program should be made in ‘clay’ and periodically monitored and adjusted so not to lose its effectiveness. An ineffective governance program impacts the performance and maturity growth of the enterprise taxonomy or metadata framework and those applications and products that utilize it. The objective of this session is to present you with a set of tools to assess your taxonomy or metadata governance program and develop effective solutions to get it on track and make it sustainable. Short case studies will be used to demonstrate problems two organizations faced with their governance programs and the solutions they implemented. Learning Objectives:
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Tuesday
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PANEL - What’s the Big Deal About Big Data If you are an IQ or Data Governance Professional you may ask what is all the talk about big data. But big data is more than just large, vast amounts of data. It's about handling and managing new and the increasing number of different data types. According to Gartner Research Vice President, Mark Beyer, "Today's information management disciplines and technologies are simply not up to the task of handling all these dynamics...Information managers must fundamentally rethink their approach to data by planning for all the dimensions of information management. This panel session will focus on aspects of big data that anyone involved in data governance and data quality needs to understand and address.
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Tuesday
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Data Governance in a Federated Organization: A Case Study of World
Vision International Mark Simpson, Data Governance Manager, World Vision International World Vision is a Christian relief, development and advocacy organization dedicated to working with children, families and communities to overcome poverty and injustice. World Vision recently built a global program management information system and created a data governance function to support managing competing requirements across an organization with a highly federated authority structure. World Vision originally launched its Data Governance program with an enterprise business-case, strategy, and five-year roadmap. Severe budget cuts in 2008 forced the program to shift to a more focused strategy supporting the largest line of business responsible for more than 40% of the organization’s work. We will explore how to shift focus to adding value quickly and embedding governance into business teams and governing data within a culture of federated authority. |
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Tuesday
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Data Quality for Business Intelligence: Lessons Learned at a High Tech Start-up Bob Newstadt, Sr. Manager Business Intelligence, GOGII, Inc A business intelligence system was built with appropriate attention to data quality. The first part of this talk describes a practical approach to data quality -- what was implemented and why. The data quality worked! Some data quality checks would intentionally abort the data processing stream when anomalies were detected. However, this delayed reports from getting to their consumers. The task then was to undo some of the DQ work and redo it in a way that got the reports out on time. I will share the key insights and lessons learned in this project. Attendees will learn:
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Tuesday
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CASE STUDY: The Golden Road to Developing Enterprise
Policies for Data Quality Standards -Sharing Experiences from the Journey at
LexisNexis Peter Aiken, Founding Director, VCU/Data Blueprint Jayne Dutra, Data Governance, LexisNexis We all hear that one of the main concerns of data governance should be the development of data quality standards for the enterprise, but that can be a daunting task. How does one start? Who should participate? What methodologies lead to a successful outcome? How do you know if your policies are valid? What activities achieve buy-in from the participants? This session will answer these and other pressing matter from the perspective of an organization whose business really depends on quality data. This session will present experiences and lessons learned by the data governance quality team at LexisNexis in the development of their Golden Rules for Data. Discussion points will include:
Attendees will take away one team’s stories about the setbacks and high points of the crossing, and insights about how the team achieved its goals in the end. |
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| 3:30 - 4:15 COFFEE BREAK AND EXHIBITS OPEN | ||||||||||||||||
| 4:15 - 5:15 KEYNOTES | ||||||||||||||||
Tuesday
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Data Governance Keynote In this keynote, learn why Express Scripts, a leading pharmacy benefit manager with the nation's largest mail order pharmacy operations is the winner of the 2012 Data Governance Best Practice Award. The Data Governance and Stewardship Programs at Medco, now Express Scripts, were implemented in order to instill an enterprise-wide culture in which data is truly valued, protected, and deployed to its optimal advantage. The program was built on the bedrock foundation of a strong Data Quality Program and expanded to address the needs of an increasingly diverse enterprise. We will describe some of the key differentiators of our program, including:
We will also describe the benefits that have accrued to the organization as a result of Data Governance. Some of the key benefits of data governance realized thus far are cost avoidance, increased revenue, reduced risk of inappropriate usage of data, and improved patient health (due to improved awareness of 'gaps in care'), yielding what we consider our "trifecta" of Our overall goal was to achieve true culture change, transforming from a company that uses data to one that truly values data. |
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Tuesday
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Information Quality Keynote How does a global organization successfully develop and deploy an enterprise-wide Data Quality Program? In this keynote presentation, Don Gray, Global Head of Data Quality for Citi, describes how Citi tackled the challenge to create an impactful data quality program for one of the world’s largest and most complex companies. Gray will not only share the information quality framework design, but also the tactics and strategies employed to generate executive support and broad relevance in a company that operates in over 100 countries around the globe, in an industry under tremendous scrutiny. Don will also candidly discuss failure modes, common pitfalls, relationship challenges, and will provide perspective on both the art and the science of managing through them in order to deliver a truly enterprise-wide data quality program that can withstand the test of time. Topics include:
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| 5:15 - 7:30 EXHIBITS AND RECEPTION | ||||||||||||||||
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