Conference Sessions - June 19, 2013
| Wednesday June 19 7:00–5:00 |
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| Wednesday June 19 7:30–8:30 |
Continental Breakfast | ||||||||||||||||
 8:00
- 8:50 CONCURRENT SESSIONS |
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Wednesday
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Forging the Right Relationships for Data Governance Success at Booz Allen Hamilton Shyla Kennedy, Manager Data Governance, Booz Allen Hamilton Successful as Booz Allen was, fiefdoms were the rule of the land. The appetite for change was real, but the “stomach” could not accommodate. As a result of previously failed attempts, executives decided to centralize the BI function and give it both a technical director and a business director. Accompanying that was a brand new concept: provide for a dedicated data governance function that would protect the interests of our most critical data within not only the new reporting powerhouse, but also look across the business to assess gaps, address them, and prevent the firm from reverting to old habits. We will demonstrate changes that immediately - and directly continue - to contribute to our success, including:
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Wednesday
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How
LEAN is your Data Governance? Solving Four most-asked Data Governance
Questions Jon Asprey, VP Strategic Consulting, Trillium Even as Data Governance continues to gain prominence in organizations around the world, the successful implementation of effective data governance structures and processes is still a challenge to many. But by applying the LEAN thinking methodology (popularized by Toyota) to data management and governance, you can enable your business to maximize the value of data and process results by eliminating and preventing wasteful activity. This approach focuses on the creation of new efficiencies and the refinement of processes that deliver robust data and information to internal data customers such as line-of-business managers and data stewards. In this session, we will demonstrate practical solutions for the 4 most-asked questions we see from organizations either beginning or evolving their data governance initiatives. Attendees will learn:
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Wednesday
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How to Develop a Practical Set of Data Governance Roles Robert S. Seiner, President/Publisher, KIK Consulting / TDAN.com Roles and responsibilities lie at the core of a successful Data Governance Program. Roles and responsibilities play a vital role for accountability identification, action planning and communications. Therefore, it important to develop an Operating Model of Roles & Responsibilities that practically fits into the existing organization and culture like a glove. In this session, Robert S. Seiner will quickly walk through an entire Operating Model and highlight, in a practical manner, how to select the appropriate roles for your organization. You will walk away from this session with a model that will add tremendous value when you return to your organization. In this session you will learn:
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Wednesday
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Clinical Metadata Management at a Large Healthcare Organization – How Data Stewardship began at BJC Healthcare Angela Boyd, Data Steward, Healthcare Informatics, BJC Healthcare BJC HealthCare (BJC), a large healthcare organization, has numerous enterprise databases with multiple sources which had never been documented in a way that would provide value to the organization. BJC adopted a Data Stewardship strategy and began to increase involvement across the enterprise. This presentation will reveal the enterprise’s metadata documentation utilizing SAP’s PowerDesigner Enterprise Architecture tool. Specifically, we will cover:
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Wednesday
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Database Permit –
Database Governance and Quality Framework Rashmi Gupta, Manager, MetLife The business mandates single version of truth. The ever increasing footprint of databases raises issue of data quality and increases cost overhead due to redundant maintenance and security. The database permit is a innovative approach to data governance that enables business agility. The complete approach was planned and deployed in eighteen months of three manageable waves. It outlined a high level roadmap and provided a framework which can be applied to any organization. The service model described IT policy, architecture standards and engagement model with partners. The operational model had processes to ensure enterprise application development adoption by integrating with project lifecycle (SDLC) and Remedy request workflow. The dashboard with KPIs was also part of final project delivery. The controls were incorporated for re-use and ever greening (metadata repository management), and periodic auditing by using database tools for different database platforms. The success of this initiative was dependent on human dimension of transformation and focused on constant communications to various partners, staff trainings, and governance committee board setup for accountability and weekly/monthly updates. Level of Audience |
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Wednesday |
KEYNOTE: Information Integration & Governance: How Trusted Information Can Deliver Smarter Decisions Patrick Keaton, IBM’s North America Director of Information Governance, IBM Information governance is a hot topic these days, but what does it really mean and how can it help your organization be successful? Information governance programs can provide a quality control discipline for adding new rigor and discipline to the process of managing, using, improving and protecting organizational information. Effective information governance can enhance the quality, availability and integrity of a organization’s information by fostering cross-organizational collaboration and structured policy-making. In this keynote session, you will learn what information governance means, why organizations are investing in governance programs and how to put governance practices in place. |
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| 9:35 - 1:15 EXHIBITS | |||||||||||||||||
| 9:35 - 10:15 COFFEE BREAK | |||||||||||||||||
| 10:15
- 10:45 DG AND IQ SOLUTIONS |
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Wednesday
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Govern With Agility: Best Practices for Integrating MDM into Business Processes Scott Braker-Abene, Director Solution Management, Information Management, SAP Information governance that is part of day to day activities and business processes enables you find and remediate issues on the fly so you can increase efficiency, make smarter decisions, and reduce risk. In this session, hear how SAP provides best practices for seamless integration of master data management with transactional systems, including data models, validation rules and workflow. Learn about SAP Master Data Governance’s out-of-the box functionality that helps accelerate governance initiatives, and functionality for flexible extensions of standard content that helps ensure continued value as your needs change over time. Learn how SAP Information Steward can help you measure and monitor data quality seamlessly within your master data creation and maintenance processes. |
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Wednesday
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Setting Up a Process to Prioritize & Justify Data Quality Tasks Derek Munro, VP of Products, X88 Software Most companies find it difficult to set up a Data Quality Management processes and justify Data Quality improvement tasks. As an example of how X88 Pandora can underpin an end-to-end Data Quality Management process, Derek Munro of X88 Software will show how to quantify data quality issues within minutes using business–defined metrics and monetary weighting of results. This allows business cases to be built for quality improvement tasks and automatically provides data quality reports over time to measure success. |
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Wednesday
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Discovery and Data Quality: The Basis of Data Governance - Laying the Proper Foundation for Effective Master Data Management Michael Ott, Senior Vice President, Innovative Systems, Inc. (ISI) Many organizations are considering Master Data Management (MDM) initiatives as a means to organize and leverage one of their greatest assets: data. However, before the organization undertakes this type of major effort, the proper foundation for success must be laid. This involves thoroughly understanding the content and quality of your data, how that will impact your initiative in terms of time, costs, and resources, and how these aspects should be viewed as part of a Data Governance framework. Without the proper foundation, the organization risks needless expenditures of time and cost and, in the worst cases, ends up with a failed project. Understanding the critical elements of Data Discovery and Data Quality – in the context of Data Governance – helps your organization prepare for effective, successful MDM. This session will explore the following:
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Wednesday
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Accelerating Data Governance and Improvement through Intelligent Automation Rich Flynn, Vice President, Partner Relations, Global IDs Global IDs automates much of the Discovery, Classification, Organization, and Integration of key data assets into manageable portfolios across the enterprise. We are able to automate much of this work regardless of location, structure, format or source. We will show how our clients map their key data assets, classify and relate them into portfolios, and then connect them across the enterprise while monitoring and improving their quality. We will highlight some of the key features that make all this possible. |
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| 11:00 - 11:50 CONCURRENT SESSIONS | |||||||||||||||||
Wednesday
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Developing a World-Class
Data Steward Training Curriculum Atul Arora, Enterprise Data Champion, Humana After many tries, your senior leadership has agreed to invest in Data Governance and Data Stewardship Program. Soon the organization will be hiring for this role. The next big question to address is their training needs. How to drive uniformity in purpose; where do they start; what do they focus on; what tools are available within the organization, and more importantly, how does the organization set expectations and defines success measures? An understanding of governance and a thorough grounding in the concepts and activities of a Data Steward are essential to success. This presentation will share ideas to incorporate in your training curriculum to fit your organization needs. Any training material at a minimum should include:
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Wednesday
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Creating a Data
Management Culture Funmi Balogun, Director, Enterprise Data Standards, Fannie Mae There is little doubt that data governance is the core of any information management strategy, yet many organizations struggle with its implementation. Data governance is nebulous, it is abstract and it is intangible. But it is essential to delivering a sustainable, measurable and meaningful information management strategy. In many organizations, data governance is about rules, policies and standards. The Data Governance Office is often a collection of one or two individuals charged with developing and updating data policies and standards and manifesting edicts which no one in the organization cares for. So how should organizations establish a sustainable, effective data governance program that is more than just policies, rules and standards? This presentation focuses on the how the different domains of Information Management – metadata, data quality, data modeling – all come together to support an effective data governance program and builds a culture that focuses on data management. The presentation also explores how Fannie Mae has overcome major internal and external barriers to implementing an information management strategy and governance program and touches upon the following sub-topics:
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Wednesday
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Forget the Theory and What the so-called Experts have to say - How you
can Operationalize Information Governance in your Enterprise Greg Whicker, Director, Business Service Management, Salt River Project Madison Prince, Organizational Change Analyst, Salt River Project Richard Lee, Managing Partner, IMECS, LLC Far too many organizations are attempting to take a Prescriptive or Best Practices-based approach to operationalizing Info Gov in the enterprises. We will proffer that "The critical path to success is one that requires an Adaptive Model, which leverages the Governance Structure, Culture and Business Model of your Enterprise to create an environment where Info Governance is embraced by everyone based on the culture belief that that Information is an Asset (top down & bottoms up)". Key points we will emphasize during our presentation:
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Wednesday
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Root Causes:
Fixing Data Quality Problems Before They Start Steve Sarsfield, Product Marketing Manager, Data Quality, Talend Often, large changes in complex systems can be traced back to small, seemingly harmless incidents. This is most apparent in your company's data, where inaccuracies and inconsistencies quickly grow into data quality problems that can threaten your business. Low-quality data leads to organizational confusion, wasted resources, poor business performance, and a bad customer experience. The success of your business relies on a strong governance policy, backed by a confident understanding of the root causes of your data quality problems. In this session, Steve Sarsfield will discuss the consequences of poor data quality in your business, and will demonstrate how small tweaks to people, process and technology can lead to an agile approach to data management. Level of Audience |
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Wednesday
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Protecting Your Data Assets Through Data Masking Michael Jay Freer, Enterprise Architect. Quality Business Intelligence With Corporate Data breaches occurring at an every alarming rate, management at all levels are struggling with the length, width, and breathe of complying with legal and regulatory requirements to protect corporate data-assets. To meet the long list of legal, regulatory, and company security policies your organization will mask data (obfuscate information). What data will be masked; when will the data be masked; where will it be masked; who will decide what data is masked; when is the data not masked; and how will you trace the data masking to the governing/compliancy rule? In this session, Michael Jay Freer will explore defining a common data-masking language; defining standard masking business-rules; defining best practices for manipulating the data; and how to get started without attempting to “Boil-the-ocean.” Level of Audience |
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| 11:50 - 1:15 LUNCH | |||||||||||||||||
| 1:15 - 2:05 CONCURRENT SESSIONS | |||||||||||||||||
Wednesday
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How
to Engage Business Support and Participation for the Data Governance Program Mike Jennings, Director, Data Governance - Enterprise Architecture, Walgreens Many Data Governance Programs fail due to a lack of adequate business direction and involvement in this essential data management initiative. Business involvement and vision is critical in identifying and targeting the critical initiatives and issues that will achieve real organizational results from data governance adoption. The key to gaining business support is the ability to articulate how sponsorship and involvement in data governance will enable their business initiatives to succeed. Determining where to start, finding business opportunities, defining what data governance means in your organization, and addressing the cultural and political realities are all required to make your program successful and valuable. This presentation describes real world approaches for soliciting tangible business involvement in your Data Governance Program. Level of Audience |
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Wednesday
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Delivering
Shareholder Value from Information Management Programs Al Naqvi, CEO, Epitomia Once compliance centric governance is achieved, nine out of ten information management executives are concerned about the sustainability of their information management programs. Inability to connect programs with the strategic value is hampering the adoption of the programs and the growth potential of the field. After nearly a decade of achieving mixed results, there are now fresh insights into how to reshape the existing programs or design new ones. The main idea is to use the data management practices to not only protect value but also to create shareholder value. Time has come when the structural and functional capabilities deployed by the Information Management programs can now truly be used to transform business, create new shareholder value, and reduce cost of capital. The presentation introduces a comprehensive methodology built around creating shareholder value by using data management practices. Based on 10 years of research from neurosciences, advanced finance, and information management, Al Naqvi gives a transformational look of information management. Level of Audience |
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Wednesday
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Data Stewardship - From Set-up to Mature Model Cynthia Parsons, Finance Data Governance Administrator, Nationwide Insurance This presentation will provide insight into the successful implementation of Data Stewardship at Nationwide Insurance from start-up to a mature fully functioning organization. In order to build and maintain a successful Data Stewardship organization at an enterprise wide level there are some critical considerations and characteristics. Topics to be discussed:
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Wednesday
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Avoiding Problems
When Importing Data from External Sources Michael Scofield, Assistant Professor, Loma Linda University As enterprises increasingly import data from external sources (free or purchased), there are a host of issues which must be addressed to avoid problems. Their simple description of their data may omit issues you need to consider. These include understanding the logical data architecture of the source and comparing it against your internal target databases. Field names and codes they use may not match your own. Additionally, negotiating agreement on updates, corrections, quality assurance, and appropriate use of the data must be done ahead of time. In this session you will learn about:
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Wednesday
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Special Interest Group Addressing the Challenges of Implementing Data Governance in Health Plans Facilitators: Kelley Royer-Marek, Director, Data Management and Governance, AmeriHealth Mercy Health Plan Michael Brown, Manager, Data Governance and Management, AmeriHealth Mercy Health Plan This special interest group session facilitated by Kelley Royer-Marek and Michael Brown from AmeriHealth Mercy Health Plan provides an open forum to network and discuss the challenges of implementing data governance in health plans. Topics include:
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| 2:20
- 3:10 CONCURRENT SESSIONS |
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Wednesday
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PANEL - Life in the Trenches Tips from Successful DG Practitioners Moderator: Steven Zagoudis, CEO, MetaGovernance Inc. Panelists: Xiu-hua McGovern, Data Quality Management and Governance Executive, Bank of America Deepak Bhaskar, Senior Manager, Enterprise Data Governance, Digital River Kira Chuchom, Data Governance, Microsoft & The Winner of the 2013 DG Best Practice Award Pablo Riboldi, Solution Manager – Information Governance & Quality, LDS Church This panel discussion will focus on real life experiences and challenges encountered by practitioners in starting, deploying and sustaining data governance and data stewardship programs. Topics include:
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Wednesday
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DatAwareness:
Establishing Data Governance Practices at AmeriHealth Mercy Health Plan Kelley Royer-Marek, Director, Data Management and Governance, AmeriHealth Mercy Health Plan Michael Brown, Manager, Data Governance and Management, AmeriHealth Mercy Health Plan Driven by rapid changes in the health care industry, the AmeriHealth Mercy Family of Companies began its data governance journey at the end of 2011. Business drivers prompting this journey include: increased regulatory directives (such as data audits imposed within the Medicare system), the addition of multiple new lines of business, the intake of many data sets, and a need for improved data accuracy. In this talk we explore what we needed to know in implementing key data governance practices such as establishing data standards and metadata management, instituting data quality management, incident reporting and remediation. In addition, we discuss our assessment of the role of the data governance team within the organization as influencers rather than enforcers, and how we chose to market the concept of "data awareness" to not only key corporate stakeholders but all associates within the company. Attendees will learn about:
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Wednesday
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Data Management Office at Union Bank Bill Harenburg, VP, Data Integrity Manager, Union Bank This presentation will cover the evolution of the Data Management Office at Union Bank. The roles of Data Steward and Data Custodian will be presented in depth and include how those roles fit into the broader enterprise and Data Governance structure. Review the pillars of governance around data management including Data Accuracy, Data Integrity, define and classify data, develop data business rules, data processes and data application. We will explore the Key Data Element concept and associated metadata used by the organization. Next steps in the evolution of Data Management at Union Bank will be described including the current issues. Level of Audience |
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Wednesday
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Managing Master Data Integration and Quality Frank Pursel, Principal, Sungard Global Services Attendees to this presentation will learn about two complementary techniques to manage the quality, consistency and governance of their master data. This presentation will:
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Wednesday
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Data Governance
for New Data Types - Big Data Governance April Reeve, Advisory Consultant, EMC2 Everyone is talking about Big Data, but what does that mean to Data Governance? Specifically, how is the governance of unstructured data different from governance of data in relational databases? Are different or more Data Stewards required? Are the processes different for database data and unstructured data? This session will cover the practical differences between traditional Data Governance and Big Data Governance.
Data Governance Maturity – where does the governance of additional data types come in? Level of Audience |
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| 3:10 - 3:30 COFFEE BREAK | |||||||||||||||||
| 3:30 - 4:20 CONCURRENT SESSIONS | |||||||||||||||||
Wednesday
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Governing Reference Data In Healthcare Jim Denyer, Director Data Warehouse Development, Independence Blue Cross Independence Blue Cross demonstrates their governance process for reference data with over 200 code sets. While more enterprises are governing their business glossary and metrics, most are still struggling with how to govern reference data and code sets. This session will discuss how Reference data at Independence Blue Cross is managed by a business process that coordinates data stewards from across the enterprise. This process ensures that new codes are first evaluated for impact on health policy, business rules, and cross-walk logic. The scope includes medical, drug and administrative codes. These code sets are exposed through a browser-based Data Dictionary portal. In addition this portal displays table/column definitions, quality and data profiling metrics” Level of Audience |
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Wednesday
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Data
Governance Implementation at Standard and Poor's Kevin Shannon, VP, Standard and Poor’s This session is a case study of how data governance has been implemented and matured in S&P by their Data Strategy and Operations organization. Topics:
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Wednesday
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Governance
Challenges for Global Metadata in a Federated Organization - the Case of KPMG Ron Klein, Global Strategy Metadata Leader, KPMG International KPMG Global Knowledge Management Strategy is to harnessing the knowledge of our 152,000 people to help them deliver and create value for our clients. They look to KPMG for a consistent standard of service based on high order professional capabilities, industry insight, and local knowledge. The KPMG Knowledge Management and Data Management groups consider Metadata Governance as a crucial step for effectiveness and survival. These two groups have an on-going program for managing the day-to-day metadata across the globe. Be it for structured or unstructured data, the metadata has to be consistent, operational and minimal for all the aspects of managing content and data. In this session, we will address the lessons learned, the critical challenges and how it is being accomplished successfully. Being a very large organization the approach needs to adequately address the diverse business and markets in which the firm operates.
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Wednesday
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IQ Experts Panel Moderator: Michael Scofield, Assistant Professor, Loma Linda University Panelists: David Loshin, President, Knowledge Integrity Danette McGilvray, President and Principal, Granite Falls Daragh O Brien, Managing Director, Castlebridge Associates John Talburt, Professor, UALR Information Science Topics:
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| 4:20 - 4:35 ROOM CHANGE | |||||||||||||||||
| 4:35 - 5:30 KEYNOTE PANEL | |||||||||||||||||
Wednesday
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KEYNOTE
PANEL: Getting the People Right for Governance and Quality to Succeed Moderator: John Ladley, President, IMCue Solutions Panelists: Mike Jennings, Director, Data Governance - Enterprise Architecture, Walgreens Laura Sebastian-Coleman, Data Quality Architect, Optum Michele Koch, Director, Enterprise Data Management, Sallie Mae Harold Finkel, Head of Business Data Management, TIAA-CREF Much has been written and said about the need to have the right “structure” in place in order for governance and quality to succeed. But structure is one thing, and having the right people is quite another - the two have to be in harmony. Data governance and stewardship are still “young” roles within most organizations, so it’s often difficult to know what works. Most of the new job titles still aren’t well-defined or recognized. Another topic receiving lots of recent attention is the role of the Chief Data Officer (CDO) or Top Data Job (TDJ). Do you need one? Where does she/he fit in the organization? What exactly is the governance role they need to perform? This closing conference discussion delves into these thorny yet practical issues.
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