Conference Sessions - June 9, 2015
| Tuesday June 9 7:30–8:30 |
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| 7:40 - 8:30 | |||||||||||||||||
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How to Develop Data Governance Best Practices Data Governance Professionals Organization Meeting One of the many questions the Data Governance Professionals Organization (DGPO) receives from members is “What are some of the data governance best practices?” To answer that question, a dedicated DGPO working group of experienced DG professionals have been working on enhancing the initial list of DG best practices. Join us to meet and network with DGPO members and conference attendees and learn about some of the top DG Best Practices. We will also discuss the benefits of membership, progress to date, and future plans for the DGPO. Since the founding of the DGPO in 2011 the group has grown to over 4500 list members, more than 1000 members representing 300 companies and 16 countries. Level of Audience |
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| Tuesday June 9 8:40–8:50 |
Welcome |
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Tuesday
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KEYNOTE: Turning Data a Competitive Advantage at Capital One Scott Hallworth, Senior Vice President, Chief Model Risk Officer and Enterprise Data Executive Capital One Financial In this keynote session, Scott Hallworth Enterprise Data Executive will share his perspective on data quality and data governance at Capital One. Topics he will discuss include:
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Tuesday
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KEYNOTE: Big Data Morality: Balancing Business Value and Business Values Nancy Fessatidis, Head of Big Data Analytics, SAP Big Data is all around us: part of what we do, a promise of what’s possible by our business leaders, and what our customers are expecting in terms of interaction and personalization. But what does all this mean? How can we navigate the value that Big Data promises, within the values by which we operate our businesses and deliver to our Customers. In this keynote, Nancy Fessatidis, Head of Big Data Analytics for SAP, will provide a perspective on what Big Data-based analytics requires from data governance. Questions of business value versus corporate values will be posed, as will a framework for thinking through the process. Level of Audience |
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| 10:10 - 10:40 Coffee Break | |||||||||||||||||
| 10:40 - 11:30 CONCURRENT SESSIONS | |||||||||||||||||
Tuesday
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Simple Six Sigma Tools Anyone Can Use to
Quantify Data Quality Improvement While most practitioners agree that information and data quality are extremely important for business survival, many are unsure how to effectively communicate the need for and progress of ongoing quality improvement and governance programs. How do you quantify the current level of quality when no quality program yet exists? How do you communicate (and quantify) the progress achieved in an existing governance program in language that senior management and other stakeholders will understand, and thus continue to support? This session provides a variety of Six Sigma tools (non-technological) that participants can use to help not only quantify, improve and control their Data Quality, but also to quantify their Data Quality improvement progress. The tools presented in this session can be used for large- or small-scale quality program efforts, and require no special training or funding to implement. Framed within the DMAIC methodology, participants will learn and discuss Six Sigma tools to:
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Tuesday
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Embedding Data Governance & Metadata into Project
Delivery Robyn Lussier, VP, Capital Group Mary Chen, AVP, Capital Group Capital Group Companies, Inc. is one of the world's largest Investment Management organizations with over one trillion USD assets under management. We serve individual investors and institutions around the world through a broad range of products and services that include American Funds, one of a large mutual fund family in the U.S. The Investment Management division started a formal data governance program in 2013. One area of focus for the program has been to build data governance practices, including metadata, into significant projects and system development efforts. In this session, we will share with you some of our experiences of building these practices into software/project delivery and lessons we have learned. Specific topics include:
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Tuesday
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Ten Ideas to Make the Case for Data Governance Tim Patnode, Data Governance Practice Lead, Datasource Consulting This presentation focuses on how to understand the business opportunity for data governance, and present a solution through a business case that enables you to secure commitment and funding. We'll start with how to identify "pain points" that resonate with many senior executives, ranging from how information is acquired, to how it is presented and analyzed for actionable decision-making. We'll look at how to describe the problem, and various ways to organize the solution, as well how to structure your investment case and illustrate where benefits can be achieved. The end goal of this process is to make a sound and understandable business case for a data governance program, scoping it to the immediate and longer-term needs of your business. You'll come away with an outline of how to approach the problem and tailor a business case for your organization.
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Tuesday
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Tools for Data Stewardship – Establishing the IT
Infrastructure Needed to Support a Data Governance and Stewardship Program April Reeve, Advisory Consultant, EMC Eric D'Onofrio, Senior Program Manager, Quest Diagnostics Data Governance and Stewardship programs use tools to support the activities of the participants, most notably the Data Stewards, the Data Governance program coordinators, and other IT and business stakeholders. Exactly what tools are needed by a Data Governance and Stewardship program, what do you do with them, and how do they get implemented and supported? This session will outline and demonstrate the tools and infrastructure put in place for the Quest Diagnostics Data Governance & Stewardship program:
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Tuesday
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Shhhhh! And Other Lessons From the Library Lisa Dodson, Systems Engineer Manager, SAS Many, if not all, data governance initiatives include the development of a business data glossary. The promise of a business data glossary is a common business vocabulary in order to minimize misunderstanding or confusion about business terms, how they are used and how they ultimately relate to data. If I need to analyze customer behavior, I need to understand what is meant by customer, where to find the data about customer, what, if any, rules exist about customer – and all of this depends on if I have access to the information. Many companies struggle with how to start such initiatives. The answer lies within the library – yes, THAT library, the one we went to as kids. There’s a lot to be learned from the librarian, the Dewey decimal system and the card catalog. In this presentation we will take a look at applying library science to the development of a business data glossary. Level of Audience |
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| 11:30 - 11:45 Room Change | |||||||||||||||||
| 11:45
- 12:15 DATA GOVERNANCE AND IQ SOLUTIONS |
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Tuesday
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Get More Value from Your Reference Data -- Make it Meaningful with TopBraid RDM Bob DuCharme, Director of Digital Media Solutions, TopQuadrant How can better reference data management make your enterprise's operations more efficient? What are the challenges, and best practices? In this presentation, we'll look at these issues and explore how TopBraid Reference Data Manager (RDM), a web-based, multi-user reference data management solution can make the management of distributed reference data simpler, more consistent, and more cost-effective. We'll show how TopBraid RDM:
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Tuesday
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Implementing MDM Doesn’t Need to be Stressful A More Effective Plan for Better Business Results Michael Ott, Senior Vice President, Innovative Systems, Inc. Historically, MDM implementations have run over-time and over-budget, causing too much stress for both implementation teams and the business users who expect accurate and timely results. This session focuses on a proven, advanced methodology for delivering excellent MDM quality in reduced timeframes and at reduced costs -- and along the way, minimizing headaches for those involved. Attendees will learn how to:
… and this is all accomplished prior to beginning the MDM implementation! Level of Audience |
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Tuesday
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The Data Governance Network: Because Connections Matter
Darius Clayton, Director, Diaku Ltd Patrick Dewald, Director, Diaku Ltd The modern firm only seems to grow more complex and more difficult to understand and govern. Understanding information flows, their context and relevance is challenging. Data, systems, processes, regulation and change are interwoven, interconnected, fast changing and no single person or function has the integrated view
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Tuesday
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Collibra Connect: Integrating Business Data Governance With IT Systems Stan Christiaens, Co-founder and Operational Director, Collibra Collibra is the standard for companies who realize that Data Governance is a business initiative. Collibra Data Governance Center combines strong automation of data stewardship and controls, with user-friendly support for people and decision processes. Collibra Connect adds sophisticated integration to these processes, empowering organizations to integrate the results of data stewardship activities with any application in the enterprise, no matter which platform, vendor, or use case. Data Governance can now be extended to all organizational use cases (BI, MDM, Big Data, Analytics, etc.) using standard IT skills and technology, delivering end-to-end data governance for the digital business. This session will show how to operationalize Data Stewardship on the business side and integrate it with your current IT environment to become a true Data Driven enterprise. Level of Audience |
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| 12:15 - 12:30 Room Change | |||||||||||||||||
| 12:30
- 1:00 DATA GOVERNANCE AND IQ SOLUTIONS |
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Tuesday
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Bang for your Buck – Governance can be Easy Robert Guberud, VP, IQM and Governance Practice, Prolifics Delivering solutions today using governance product should be focused more on your business goals rather than delivering all functions of a product. Your cost of ownership should be based on the benefits you need and your investment in governance should have a tangible and early payback cycle. So how do you get there? Come talk to Prolifics and we will provide usable approaches to driving value in your governance journey through effective jump-starts. Get your organization moving, measuring and managing your information assets today! Gartner predicts that at least thirty percent of all businesses will be adding a dollar value to their data by NEXT YEAR! We want to be sure you’re one of those businesses that’s extracting value from your data now. Prolifics delivers Data Value in bite size pieces Companies like yours can begin your data journey and monetize your information by using automation and asset data capture accelerators from Prolifics. This session will:
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Tuesday
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Beyond Data Governance Jeff Shortis, Co-Founder and CEO, Data3Sixty Operationalizing data governance requires an organizational commitment to the people, process and technology to enact change. Data3Sixty activates your data governance program with a deep set of functional capabilities enabling transparency, control and trust for the most important information assets within your organization. Built on an extendable knowledge management framework, Data3Sixty provides the ability to visualize and synthesize information about data - along with its associated sources, relationships and responsibilities. Once data is understood and governed, the true value, knowledge and collaboration of your information assets can be realized throughout the organization. In this session we will address the following areas:
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Tuesday
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Our First Data Governance Rodeo with SAS Data Quality Dr. John Taylor, Data Analyst, Texas Parks and Wildlife Department Matthew Magne, Product Marketing Manager, Data Management, SAS Dr. John Taylor and Matthew Magne will discuss a real-world case study showing how SAS Data Quality and metadata solutions are being deployed as part of a Data Governance and CRM initiative at Texas Parks and Wildlife Department. Taylor received the 2012 employee recognition award for innovation at TPWD for his efforts to advance the use of predictive and location analytics, data integration and data quality methodologies at the agency. Join us as we discuss the following topics:
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| 1:00 - 2:00 Lunch | |||||||||||||||||
| 2:00 - 2:50 CONCURRENT SESSIONS | |||||||||||||||||
Tuesday
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Successful SAP Implementation
leveraging Data Quality and Data Governance: A Case Study Chris Tyler, Manager of Data Warehousing and Reporting Services, Illumina, Inc. Jack London, Data Governance Lead Global Business Performance, Illumina, Inc. Sally McCormack, Practice Lead for Data Quality, Datasource Consulting, LLC How do you align, consolidate and cleanse data from nearly 100 legacy systems, managed independently for over 10 years in preparation for a global single instance ERP implementation (and do it all in less than 2 years)? This was the question that Illumina, Inc. faced when making the business decision to replace its ERP and ancillary systems with a new, centralized SAP environment. In this session, the presenters will step through the main business drivers associated with the data quality and cleansing initiatives, the tools needed and leveraged and, most importantly, how to attract and engage key business owners of the data to support not only the initial cleansing projects, but also a long term data governance organization. From this case study, attendees will learn:
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Tuesday
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Data Quality Experts Panel Moderator: Michael Scofield. Asst. Professor, Loma Linda University Panelists: Peter Aiken, Founding Director, VCU/Data Blueprint David Loshin, President, Knowledge Integrity John Talburt, Chief Scientist, Black Oak Analytics Dr. Alexander Borek, Senior Consultant, Gartner In this session data quality experts will discuss some of the more challenging issues encountered by data quality professionals. Topics include:
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Tuesday
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Corporate Culture vs. Data Governance Curt McAdams, Manager of Data Modeling, CareSource The best planning and program design can falter when the corporate culture doesn't grow its acceptance of Data Governance. How do you provide solid value from a slow corporate acceptance? Using the culture of the company and grass-roots-level efforts can increase value perceptions within the company, while ensuring a core team is capable of normalizing the activities of Data Governance in a less obvious way. In this session, we'll discuss:
While the basic components of Data Governance will be discussed, this is not a session on how to design a Data Governance program, but, instead, how to nimbly respond to cultural changes to ensure continued, increased acceptance of Data Governance. Many presentations at conferences talk about the details and structures around Data Governance teams and stewards to allow a well-planned approach to Data Governance. What is often not covered is, once planned or even implemented, is that the culture in the company can shift, which can change the acceptance rate of Data Governance initiatives. This session would discuss some of those obstacles and how they might be addressed to still derive benefit and grow acceptance of Data Governance. Level of Audience |
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Tuesday
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Managing Risk in a Customer 360° World through Effective Data
Management Strategies Michael Ott, Senior Vice President, Innovative Systems, Inc. Organizations have strived to establish a customer 360° environment where accurate, consistent information is used across multiple touchpoints and via multiple distribution channels. However, organizations do not routinely think about the types of risks that are inherent in establishing and maintaining a customer environment. These risks, if not identified and managed properly, can have a devastating impact. Fortunately, there are effective data management strategies that will allow your organization to minimize risk without bringing operations to a halt. You will learn:
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Tuesday
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Data Governance Is Not an Island Samra Sulaiman, Information Management Consultant, First San Francisco Partners Funmi Balogun, Information Management Consultant, Independent Data Governance is a system of policies, standards and processes that ensure data is accurate, consistent and sustainable across an organization. It is a system of accountability and prescribed processes that enables the delivery of “the right data, at the right time, with the right integrity”. Organizations which are successful in executing data governance integrate the program into the fabric of the organization culture by aligning the policies, standards and processes with other functions of the organization. The below are key building blocks to a governance program:
Identifying and understanding these building blocks and how they contribute to the formation of the governance strategy and implementation is vital. And whether an organization has these key functional building blocks in place or not should not be viewed as an impediment. Rather, the individual responsible for the governance program should drive the execution with an understanding of how they relate to data governance. Making It Real! Level of Audience |
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Tuesday
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Data Management Benchmarking: Current State of Implementation in Financial Services John Bottega, Former CDO, Bank of America and Federal Reserve Bank of NY
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| 2:50 - 3:10 Room Change | |||||||||||||||||
| 3:10
- 4:00 CONCURRENT SESSIONS |
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People
DO Matter – How to Create an Effective Data Governance Team Kira Chuchom, President, True Data Value, LLC The session will cover strategic and tactical techniques that can be leveraged in creating, managing, operating, and growing the primary data governance team. Tips and guidance on how to develop the larger data governance constituents are also discussed. Topics of discussion include the following:
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Tuesday
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What’s Yours Worth? – How to Determine
the Value of Data Susan Kopeck, Enterprise Architect, Ford Do you know the value of your business’ data? Are you having difficulty influencing your business to standardize its data? Do you know how to communicate the importance of data governance in analytics? This presentation will cover practical techniques used at Ford Motor Company to influence our business customers to establish data standards and drive the convergence of fragmented data. We’ll discuss how data ownership, data quality, and data governance all play a part in successfully establishing and maintaining standards and how these methods can lead to data efficiencies and improved analytics. Attendees will learn how to:
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Tuesday
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Top/Down Approach – Governing Data for Executive Decisions Meredith Haney, Senior Software Systems Engineer, Sandia National Laboratories Ruth Harris, Manager, Information Systems Engineering, Sandia National Laboratories While there are many potential drivers for data governance, this session will explore one approach that addresses data governance when demand for data and ability to use it to inform business decisions are driven from the top down. Quality data is vital to every organization, and executives expect integrated data to be available in a timely manner to facilitate data driven decision making. Often times, data does not exist in an integrated source, but rather in silos across different policy areas making it extremely difficult or impossible to utilize in an efficient manner. As disparate data is integrated, new challenges emerge and governance becomes more complex. How do you govern at a corporate level, across business domains? How do you ensure risks are identified and sufficiently managed? How do you set expectations for executives? How do you transform the culture away from stove-piped solutions and get buy-in for this new corporate asset? If you’re interested in the answers to these questions, this session is for you. In this session we will discuss:
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Tuesday
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How to Implement
Data Governance Controls Steve Zagoudis, CEO, MetaGovernance Solutions LLC Data Governance controls and reconciliation procedures are mandatory in today's regulatory and compliance driven environment. CXO executives are demanding more and more controls prior to automating reporting to provide assurance that data is accurate. Most organizations have not connected these controls and procedures to their Data Governance efforts. Organizations waste tremendous opportunity costs by not leveraging their data assets for automated reconciliation. This session changes all that by providing a clear understanding of how Data Governance controls can enhance or replace existing manual and redundant validations efforts. Attendees will learn the general expectation around the need for controls from the various constituents. We will then explore how to define Data Governance controls and implement them, often with existing technology and procedures. Attendees will walk away with templates and draft procedures that can be implemented when returning from the conference. This session will focus on:
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Tuesday
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Applying Data Governance to Agile Projects Robert S. Seiner, President/Principal, KIK Consulting / TDAN.com Many organizations have agile development efforts underway and planned that are focused on delivering information systems and projects quickly and effectively. These same organizations also want to focus on managing data as a valuable asset and understand that data and data-processes must be governed to maximize their worth to the organization. Wouldn’t it be great if we could focus on both at the same time? This session will focus on ways to build efficiency and effectiveness into how data governance is applied to agile projects. The speaker will also share techniques for gaining Senior Leadership’s understanding of the importance of these discipline working together to deliver truly successful business solutions. This session will discuss:
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Tuesday
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The Art and Science of Data Governances Jeff Gentry, Data & Analytics Thought Leader Data governance ensures that our data is managed consistently with predetermined vigor. How tough can that be, right? It's not rocket science, which is one reason it's deceptively challenging. Good data governance requires some art and some science:
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| 4:00 - 4:40 Ice Cream Break & Exhibits Open | |||||||||||||||||
| 4:40
- 5:30 CONCURRENT SESSIONS |
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Get C-level Buy in on Your Data Governance and Quality Program Jill Camper, Data Architect, DST Getting C-level buy in for your data governance and quality program is hard. This session will empower you to get the proof you need to show why your company needs a data governance program now! By interviewing your current users, and using their words to show where gaps exist, you can personalize your company's problems and share them with your C-level team in a way that shows:
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Tuesday
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Leveraging Metadata
Governance to Drive Better Business Decisions Lydia Reid, Metadata and Reference Data Manager, American Family Insurance Based in Madison, WI, American Family Insurance (a.k.a. AmFam) offers auto insurance, homeowners insurance, life insurance, business insurance and farm/ranch insurance in 19 states. American Family insurance is the nation’s third-largest mutual property/casualty insurance company and ranks 373rd on the Fortune 500 list. To expand its reach to consumers who prefer to conduct business using the internet or call centers, American Family acquired Homesite Group, and direct property insurance company, and helped create Assure Start, a startup direct small business insurance distributor, in 2013. These companies join The General, a direct auto insurance company American Family acquired in 2012. Today, one or more companies of American Family Insurance Group operate in 46 states. Coordinating and governing the metadata across such a large enterprise is vital to drive better business decisions. In this session, Lydia Reid will discuss how AmFam carved out a separate managerial role to handle metadata to reflect the importance of metadata to the Software Development Life Cycle (SDLC). This recently established program reflects the unique importance of metadata to the overall success of an Enterprise Data Management program. She will discuss an approach to setting up the metadata unit within the business to work with IT to promote the following topics:
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Tuesday
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Making Data Governance and Stewardship Stick! Data
Governance Adoption Within Your Organization Michael Nicosia, VP, F&A Strategy, Planning & Data Governance, TIAA-CREF Erik Ferrone, Manager, TIAA-CREF STOP! If you think that you are going to be successful with your data governance initiative out of the gate, chances are you’re wrong! The reality is, the level of success you achieve will be in direct proportion to the amount of effort you put forth on an often overlooked, but fundamental component of your approach – Change Management. Building upon our recent Information Management article, the “6 Rules for Governance Success”, this session will provide insight into:
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Tuesday
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Real-Time Data Requires Real-Time Governance! Don Loden, Principal Consultant, Decision First Technologies Drawing on real-world use cases and best practices from numerous implementations, learn how to leverage technology to tackle the new challenges that arise with the emergence of real- time data. Empower your organization to better manage data and metadata in real time. Get expert advice to develop a governance strategy, including selecting terms and quality metrics to measure, setting thresholds for scorecards, and measuring data quality over time Step through live demos of scorecards that validate data quality using complex business rules in real time against sources to see how data quality conforms to rules to support a real-time enterprise Level of Audience |
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Hackers, Attack Anatomy & Security Trends Ted Harrington, Executive Partner, Independent Security Evaluators Attacks against enterprises and their technology vendors are facilitated by the current rapid adoption of embedded systems, cloud solutions, and web based platforms. These attacks often undermine the very monetization, scalability and user experience goals for which these systems were designed and deployed. As malicious hackers advance their techniques at a staggering pace, often rendering current defense tactics obsolete, so too must security practitioners obsess over deploying progressive techniques. This session will analyze the anatomies of real world attacks against high profile systems, ranging from the well known Target breach, to Texas Instruments RFID, to Apple products, and more. It will extract lessons from these attack anatomies to provide a framework to account for these modern attackers, articulate industry context, and supply attendees with key takeaways, including immediately actionable guidance.
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Tuesday
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Data Migration – A Path to Information Governance Paul Médaille, Director, Solution Management, Enterprise Information Management, SAP David Quirk, EIM Solution Management, SAP Information governance is a discipline that involves people, policies, procedures, and metrics to help organizations actively manage their data assets and implement an enterprise information management strategy. Information governance is a journey for which there can be many starting points; one of the best places to start an information governance journey is a data migration project. In this session we will introduce the basics of Information Governance, describe the concepts and challenges of data migration projects, cover some of the tools to assist your migration projects, and give practical tips on how to leverage data migration to initiate an information governance project. Level of Audience |
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| 5:30 - 7:45 EXHIBITS AND RECEPTION | |||||||||||||||||
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