Conference Sessions
December 4, 2012
Tuesday December 4 7:006:00 |
Registration | |||||||||||
Tuesday December 4 7:008:30 |
Continental Breakfast | |||||||||||
7:30 - 8:20 | ||||||||||||
Tuesday |
Start Your Day Rocking With the DGPO and Data Governance Best Practices The Data Governance Professionals Organization Meeting You know what they say about the “early bird”. The “early bird” gets the best practices. Wake up early and join a group of dedicated and experienced Data Governance professionals to learn about the benefits of becoming a part of the DGPO. Then participate in a lively discussion of the best practices adopted by member organizations when rolling out their Data Governance program. Guaranteed take-aways (and they won’t be worms). |
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Tuesday December 4 8:308:40 |
Welcome | |||||||||||
Tuesday
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KEYNOTE: The “Wicked Challenge” of Data Governance Michael Atkin, Managing Director, EDM Council The practice of data management is complex but fairly straightforward. It’s about capturing requirements, understanding dependencies, implementing standards, assuring data quality, aligning repositories, reconciling legacy environments and integrating data into business applications. Organizational management is the challenge to overcome and the key to taming the ‘four horsemen of the EDM apocalypse’ (aka ignorance, arrogance, obsolescence and power). And successful organizational management is all about effective governance. In this session, we will …
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Tuesday
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KEYNOTE: Starting the Governance Journey: Driving Governance Through Solving Real Business Problems Patrick Keaton, IBM’s North American Information Governance Practice Leader, IBM Many organizations start governance programs with high goals and lofty objectives only to find them go the route of a governance project… they start and end and never reach what they set out to do. In this session, Patrick Keaton will show how many companies with successful governance programs have started by focusing on solving a specific business problem rather than approaching governance for governance sake. He will walk you through a tested Unified Governance Process that has delivering value to the business as its backbone rather than focusing on implementing a specific technology solution. |
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9:35 - 10:05 CONCURRENT SESSIONS | ||||||||||||
Tuesday |
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10:05 - 10:30 COFFEE BREAK | ||||||||||||
10:30 - 11:20 CONCURRENT SESSIONS | ||||||||||||
Tuesday |
Data Policies and
Standards: An Essential Component of an Enterprise Data Governance Program Janet Lichtenberger, Project Manager, Walgreens 2012 DG Best Practice Award Submission Data policies and standards have been an integral part of the founding and growth of Enterprise Data Governance at Walgreens. Data policies and standards have provided the program with a way to build key partnerships within Walgreens, and to engage with both business and IT on topics that are an important focus for our executive data governance committee. Polices and standards enrich other efforts to bring quality and consistency to enterprise data, and have been central to usage and control of enterprise data. Topics to be covered include:
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Tuesday |
Bridging the
Gap: Building a Federated Data Governance Team Natalie Sendele, Manager Data Governance, Artisan Partners Data is an asset, but determining who is best suited to own the data can be difficult. While some companies may centralize their operations to one core team, a federated approach can facilitate a cross-functional team and overall broader data knowledge. The application of utilizing knowledgeable data owners within their respective business units enables a stronger connection to business workflows in addition to embedding governance principles across a greater number of departments. In practice this federated approach to data governance can result in reduced boundaries between the business and IT, deeper collaboration, and overall successful data quality related projects. Topics include:
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Tuesday |
Critical Deliverables for All Phases of Your Data Governance Program Deployment Dan Soceanu, Senior Solutions Architect, SAS Americas Information Management After the program charter is written and the initial meetings are completed, every organization must establish solid, measurable deliverables in order to achieve their desired data governance program goals. Beyond general benefit statements and hazy initiative goals, specific milestones must be supported by defined metrics, processes and business workflows in order to achieve program success. This session will explore the key steps and accompanying deliverables that are crucial, prior to program launch – as well as how to continuously monitor Data Governance to ensure long-term business success. |
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11:20 - 11:30 ROOM CHANGE | ||||||||||||
11:30 - 12:00 DATA GOVERNANCE SOLUTIONS | ||||||||||||
Tuesday |
Lean Data Governance Machine Kiran Gill, Senior Strategic Consultant, Trillium Software 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 organisations' 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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Tuesday |
Data Quality for Material Master Data – A Process Automation Approach Lance Yoder, Process Engineer, Rockwell Automation Rockwell Automation’s mission is to provide industrial automation control and information solutions designed to give customers a competitive advantage. Automating manual tasks and eliminating non-value added tasks with regards to all SAP master data maintenance processes is a priority. Specific to master material master creation and extension processes, this session will also highlight Rockwell’s use of business rules and validation rules to check and build data, as well the methodology for applying specific tools in a controlled/governed manner to provide more control to business users while simultaneously reducing project risk. |
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Tuesday |
The Data Governance Center: a Platform to Increase your Data Maturity Stijn Christiaens, Co-founder and Operational Director, Collibra Most organizations consider themselves at the lower levels of maturity when it comes to Data Governance. Comments like "We are very immature.", "We just started socializing the idea of Data Governance.", "We have just had our first council meeting.", "We have pockets of business adoption." ... are all too familiar. Whether you are very mature or immature, the end goal of a Data Governance initiative is improving the way people treat data within your organization. In the end its about enabling and improving the process of data management. Collibra's Data Governance Center is a platform which enables your Data Governance program, no matter whether the program is mature or immature. Collibra's supports the management of essential data assets (e.g., data definitions, business glossary, reference data, data domains, ...) which are critical instruments in any stage of maturity. More advanced data assets (e.g., business rules, policies, metrics & measures, …) can be governed as well. The Data Governance Center empowers your data stewards: it supports different organizational setups or operating models (e.g., functional, centralized, federated, ...), out of the box and configurable roles, responsibilities and workflows (e.g., approval, notification, issue management, ...). Because both Business and IT adoption is critical, this content is easily accessible: using the Search Everywhere application, your data producers and consumers can pull up search results in the context of their work. The Business User Portal can be used to further browse, navigate, search and filter out what they need before engaging with the relevant data stakeholders (e.g., by raising an issue). The Collibra Data Governance Center has been designed and developed as a configurable out of the box solution. The out of the box capabilities (e.g., Steward and Stakeholder roles around Data Domains, Pre configured Data Governance workflows,...) as well as the framework that the platform offers, will accelerate your Data Governance program. It also means that in later stages of maturity, you can configure it to match your organization's cultural and / or maturity needs, i.e.: set up your own roles and detailed, comprehensive workflows, tweak the measures and metrics, ... In this session, we will introduce Collibra's Data Governance Center and show how it has been applied in various use cases, including best practices and lessons learnt. |
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12:00 - 1:00 LUNCH - Sponsored by Global IDs | ||||||||||||
1:00 - 1:50 CONCURRENT SESSIONS | ||||||||||||
Tuesday |
Gaining Consensus
and Accountability thru Governance at HealthNow NY Inc. George Yuhasz, Director, Data Process & Governance, HealthNow NY Inc | BlueCross BlueShield of Western New York In order to better compete in a changing marketplace, respond more rapidly to shifts in regulations and derive greater value from the management of information as intelligence to drive action, HealthNow has initiated a Data Governance program aimed at rationalizing the complex and siloed current-day processes with a lean and agile approach to governance and stewardship. The program has been initiated based on a multi-month assessment engagement conducted by internal and external thought leaders to build consensus and accountability between key members of the Business and Technical teams and serve the needs of the business. Topics that will be discussed include:
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Tuesday |
Initiating the Data Governance Journey at Wells Fargo
Lisa Robinson, Senior Vice President - Risk Management, Security & Governance, Digital Channels Group, Wells Fargo Dimpsy Teckchandani, Director - Information Management, Advisory Services, PricewaterhouseCoopers LLP The session will outline the evolution of the Enterprise Data Governance (EDG) program at Wells Fargo. While still early in the data governance journey, the program has made significant strides over the last year by focusing on:
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Tuesday |
The Governance of Data Quality: How to Avoid the “Whack a Mole” Paradigm Matt Crittenden, Governance Specialist, IBM's North America Information Governance Organization, IBM For many organizations, Data Quality equates to playing the carnival game “Whack a Mole”; as a data problem arises, resources are engaged and focused on dealing with the issue leaving them in a constant state of reacting to the next problem. This technology agnostic session will focus on changing the paradigm, moving from Opportunistic based data quality to deploying an Enterprise Data Quality program. Through a discussion of methodology and real life examples we will see how companies are successfully changing how Data Quality is being addressed. |
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1:50 - 2:00 ROOM CHANGE | ||||||||||||
2:00 - 2:50 CONCURRENT SESSIONS | ||||||||||||
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Data Governance and Data Quality at the Minnesota Pollution Control Agency Randy Hedegaard, Data Services Manager, Minnesota Pollution Control Agency The Minnesota Pollution Control Agency (MPCA) has learned many lessons in their implementation of a data governance program at the state level. In 2007, the agency made a realization about ensuring appropriate data quality to meet its obligations to protect our environment. Since that time, the agency has been committed to improving the usability and accessibility of their data. A large part of this investment has focused on building a data services organization and data governance strategy/processes.
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Tuesday |
Linking Business Strategy to IT Improvements Through Applied Data Governance Michael Makatura, CIO, Risk Transfer and Holdings Peter Aiken, Founding Director, VCU/Data Blueprint Linking business goals to IT projects has long been considered to be a primary function of organizational CIOs. This talk will explain how a specific organizational CIO attempted to accomplish this using traditional methods and how his frustration lead him to embrace a data centric governance process in order to 1) sell the solutions to upper management and 2) keep the organization focused on the analysis required to produce the correct results instead of on the "shiny objects" that become the focus of most IT development projects. While immature but strong, Risk Transfers data governance has lead to immediate tangible results that demonstrate the value of this approach. |
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Tuesday |
Lessons from the Trenches Effective Data Stewardship Moderator: Kelle O'Neal, Managing Partner, First San Francisco Partners Panelists: Elisa Pirylis, Senior Manager, Express Scripts Winner of the 2012 DG Best Practice Award Alexander Harris, Manager, Nationwide Financial Business Operations Karen Majewski Tripp, Data Steward. Tokio Marine & Nichido Fire Insurance Co., Ltd. Kevin Shannon, VP and Global Head of Data Stewardship, Standard and Poor’s One of the major challenges for data governance programs is implementing an effective data stewardship program. This panel session will address the key issues in developing and sustaining a successful data stewardship program Topics include:
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2:50 - 3:00 ROOM CHANGE | ||||||||||||
3:00 - 3:30 DATA GOVERNANCE SOLUTIONS | ||||||||||||
Tuesday |
Driving Governance Initiatives with Metadata Management Ravi Chivukula, Director of Business Solutions, ASG This session presents the various levers that metadata management provides to accelerate and drive governance initiatives through your enterprise. True data governance is a lofty goal and one that isn't always easy to attain. But there are some best practices, leveraging enabling tools, that can help drive Governance initiatives in your enterprise. Business glossaries, for example, provide a solid foundation to drive business and IT collaboration when implementing your data governance strategies. Reference data management accelerates Governance by drawing out business stakeholders and by creating a foundation for approval workflow. Ubiquitous availability of governed and context-classified metadata like business term definitions and reference data is a significant step towards organization-wide alignment. Robust and mature metadata capabilities like end-to-end lineage and impact analysis also set the stage for accelerating Governance. |
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Proactive Data Governance for Today’s Data Steward Richard Olshefski, Senior Consultant, Innovative Systems, Inc. Stan Wandowicz, Senior Sales Executive, Innovative Systems, Inc. As the responsibilities of the Data Steward evolve to meet the ever-increasing complexities of business, what are the day-to-day activities that ensure effectiveness in this role? More specifically, how does one manage these responsibilities in a proactive way? Innovative Systems will discuss a day in the life of today’s Data Steward, including how they translate policy into actionable rules and controls, monitor data sets, and transparently track data anomalies through notification and KPI reporting. These concepts will be demonstrated through an advanced profiling and discovery solution. |
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Moving from Reactive to Proactive Information Governance Dan Everett, Senior Director of Marketing, SAP Many organizations take an ad hoc approach to information governance as a default, simply reacting when poor data shows up as business problems. With the growing awareness of the business impact of poor data, there is the realization that a proactive approach is needed that provides clear policies and rules, consistent processes, and an ability to monitor progress across the organization. This session will discuss recent innovations that help businesses move from reactive to proactive information governance and improve collaboration between IT and business people. Topics include:
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3:30 - 3:40 ROOM CHANGE | ||||||||||||
3:40 - 4:10 DATA GOVERNANCE SOLUTIONS | ||||||||||||
Tuesday |
A Centralized Approach to Governance & Master Data Management Robert Rich, Global Program Director MDM, Aprimo, a Teradata Company In this session Robert will discuss how to establish a governance framework for master data that is tightly integrated with the Enterprise Data Warehouse. Aprimo® Master Data Manager supports a centralized approach to govern master data including party, product, location or reference data. Capabilities include data validation with alerts, business rule management, workflow and approval management, role and column based access control and complete management of a “golden” logical record. A single solution supports multiple domains and a variety of integration patterns including analytical and operational MDM. Aprimo MDM is a powerful and flexible solution that lets our customers approach master data and data governance projects in the order and level of complexity that drives the most business value. |
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Tuesday |
Bridging the Business/IT Gap with a Single-Platform Approach to Data Management Tom Rinehart, Manager, Pre-Sales Support, SAS Organizations today are not only faced with an exponential increase in the amount of data they have to process, but there can also be a growing gap between business and IT. Who owns the data? What does it really mean? How can data help drive better decisions? This session will show how the key requirements of data management, including data quality and data integration, can be used by IT and business to build a foundation for more complex, resource-intensive goals like data governance and master data management (MDM). |
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Tuesday |
Enterprise Data Governance using In-memory Databases Dr. Arka Mukherjee, CEO. Global IDs Amar Shan, Director of Product Management, Yarc Data, Inc. Global IDs & YarcData (a division of Cray Computers) are collaborating to bring to market an advanced solution for governing Enterprise Masterdata that combines the best of both product capabilities. Aggregating core Masterdata about customers and products in RDF structures, and storing it inside a memory Graph Database, the solution allows for flexible and adaptable Master Data Governance along with very fast performance provided by In-memory databases. |
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4:10 - 4:40 ICE CREAM RECEPTION AND EXHIBITS OPEN | ||||||||||||
4:40 - 5:30 KEYNOTE | ||||||||||||
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KEYNOTE PANEL: If You’re Not Doing Big Data Governance Now, You Soon Will Be The relationship between Big Data and Data Governance was not obvious at first – after all, Big Data has mostly been about sandbox projects that don’t care so much about accuracy or accountability. But as these efforts move into production, and Big Data becomes more mainstream, this perspective quickly starts to look naïve and we start to see that Big Data actually exposes numerous information and data governance risks. A recent Gartner blog highlighted these concerns under the heading of “Data Governance is the New Black.” So even if your data governance perspective doesn’t yet include Big Data, you need to know what’s coming in your very near future. Our panel will therefore identify, define and advise you on these emerging issues.
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5:30 - 7:30 RECEPTION AND EXHIBITS | ||||||||||||