Conference Sessions - June 28, 2016
| Tuesday June 28 7:30–8:30 |
Registration and Continental Breakfast | ||||
| 7:40 - 8:30 | |||||
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Keeping the Lights on your DG Program The Data Governance Professionals Organization (DGPO) Join DGPO Board members during this session to learn about their lessons learned and experiences (good and bad) of keeping the momentum going after you have successfully implemented a Data Governance Program. Bring your questions (and frustrations) with you and we will provide tips to help solve your issues. Topics to be covered include:
Join us to meet and network with DGPO members and conference attendees. 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 7000 list members, 1350 members representing over 450 companies and 20 countries. Happy 5th Anniversary DGPO! Level of Audience |
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 7:40
- 8:30 |
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| Tuesday June 28 8:40–8:50 |
Welcome |
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Tuesday
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KEYNOTE: Next Generation Data Governance Fawad Butt, Chief Data Governance Office, Kaiser Permanente While most organizations continue to define and implement their first Data Governance programs, some are starting to evolve with the advent of the Cloud, Big Data, Semantic web and other disruptive technologies. Next gen Data Governance will deliver quicker business value by leveraging social concepts and technologies to gather metadata, employing machine learning algorithms to actively support governance and quality functions, building semantic standardization across the enterprise and industries to allow for quicker integration patterns, and by deploying cloud based and on-premises big data platforms as governance factories. Level of Audience |
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Tuesday
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KEYNOTE: The Data Governance Most
Wanted List: Profiles of Our Biggest Saboteurs Anne Buff, Principal Business Solutions Manager, SAS Not supporting data governance efforts is criminal, or at least it should be. Join us as we take an in depth look at the profiles of the most common personalities compromising our data governance programs today. Not only will we identify these scoundrels, we will also identify ways to wrangle and manage them. And, in the best of all worlds, we will share ways to include and channel their efforts to promote and further enterprise data governance efforts. Level of Audience |
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| 10:10 - 10:40 Coffee Break | |||||
| 10:40 - 11:30 CONCURRENT SESSIONS | |||||
Tuesday
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Information Quality - Why Do I Care? Theresa Peachey, Information Quality Manager, American Family Insurance Information quality initiatives require a two-pronged approach: preventative and corrective activities. While it may be easier to travel the road more often taken (corrective activities), paving a new path (preventative activities) is equally, if not more valuable. This presentation describes the evolution of Information Quality at American Family Insurance, the service offerings provided, contributions to business objectives, and steps to increase preventative activities. Primary takeaways:
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Tuesday
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Selling
Strategic Data Governance in a Tactical World Grant Sutton, Director, Solution Architecture and Data Governance, Datasource Consulting You know you need Data Governance, but how do you convince all the right people in your organization to invest in something that will be an ongoing program? Many prefer to focus on things that can be completed in 90 days or less and deliver value immediately, or sooner. The best-designed DG program can fail or never launch in the first place when not sold properly. Get some great ideas from hard-won experience of over 25 years selling, designing, and running successful enterprise data and DG programs in various organizations. Regardless of the industry, your corporate culture, or if you’ve had failed DG programs in the past, you’ll get valuable tips to help you get your would-be stakeholders to embrace Data Governance. Topics include:
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Tuesday
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Symptoms
of Sick Data Governance Michael McMorrow, Principal, MMM Data Perspectives Ltd Most organizations have something in place called 'Data Governance' but is it fit or failing? This session will draw on practical examples, from the presenter's cross-industry experience, which have worked well, have worked well initially but degraded over time with increased scale or decreased commitment, or have just never really worked from the get-go. Typical symptoms of Data Governance in poor health include:
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Tuesday
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Aligning Governance and
Analytics to Ensure Trust and Transparency Kelle O'Neal, Founder and CEO, First San Francisco Partners The DGPO defines Data Governance as "A discipline that provides clear-cut policies; procedures; standards; roles; responsibilities; and accountabilities to ensure that data is well-managed as an enterprise resource." Many times the influence of Data Governance stops at data creation and management, rather than extending to the data consumption organizations like Reporting and Analytics. Are your Analytics groups involved in Data Governance? In this session, we will discuss the importance of aligning your Data Governance and your Analytics organizations. We will show how these are intersecting communities add value to each other, context to the conversation, and end-to-end accountability for data. We will answer the questions:
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Tuesday
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7 Data Disciplines and Focus Areas for Data Governance Sherri Adame, Enterprise Metadata Management Leader, Cigna Sherri will present 7 data disciplines that are key to creating a complete data governance plan. Each discipline area will be described with a maturity model. The disciplines coupled with the maturity models provide the data governance team the tools to have the right conversations with business to prioritize what needs to be done and what can wait. This objective approach to looking at data disciplines takes the emotion out of the conversation and focuses governance and business teams on real tasks that will add real value. This is meant to be a beginner level presentation but may assist intermediate level participants with a fresh perspective on the disciplines required to provide a comprehensive approach to data governance. Level of Audience |
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Tuesday
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Mastering Information Excellence in the Digital Enterprise Paul Medaille, Director, Solutions Management, Enterprise Information Management, SAP In a single minute – every minute of every day – over 600 TB of global IP data is transferred, over 200 million emails are sent, over 1 million YouTube videos are uploaded, and over 47,000 application downloads happen. Every organization must not only deal with this flood of data, they must master it if they are to successfully complete the journey from running an analog business to a real-time, on-demand, digital enterprise. And make no mistake: your business success, profitability, and even survival depend on making the transformation. So what is a “digital enterprise,” and what is the role of information governance in both making the transition and achieving information excellence? In this session, we will address these questions, explore the importance of quality, governed information in the digital age, and deliver practical advice to help you make your own digital journey. 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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Collibra Catalog: Product Preview and Demo Stan Christiaens, Co-Founder and Chief Technology Officer, Collibra Collibra Catalog, the newest addition to the Collibra family of data governance applications, brings enhanced capabilities for data scientists, business analysts, and other data professionals using big data environments. Discover how to reduce risk and make your big data more meaningful and accessible. Join Stan Christiaens, Collibra Chief Technology Officer, for an in-depth look at Collibra Catalog, including a product demonstration. Level of Audience |
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| 11:45
- 12:15 DATA GOVERNANCE AND IQ SOLUTIONS |
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Tuesday
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How to Improve Data Collection and Data Quality with Discovery Automation Goran Strangmark, Head of Business Development and Customer Engagement, ROKITT Inc Opportunities to improve business by leveraging data analytics and data governance abound. Smarter business decisions and reduced compliance risk are attainable with good data collection. Data collection from legacy systems may be complicated in legacy systems plagued with technology debt. In this session we will look at typical use cases and discuss best practices for how organizations can respond to increasing regulatory demands. Key takeaways:
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| 11:45
- 12:15 DATA GOVERNANCE AND IQ SOLUTIONS |
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Tuesday
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Tactics to Support Data Governance Deployment Derek Hardison, Global Systems Engineer, SAS While implementing a data governance program has become a necessity with many organizations, ensuring adoption continues to be a challenge to even the most optimistic organizations. All too often the DG committee generates lots of good ideas (policies, rules, etc.) and then neglects the tactical deployment issues of data management and program measurement. During this session, Derek will review the most common Data Governance Initiative challenges along with approaches to address each challenge through proven data management techniques. 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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Data Governance: The Good, the Bad and the Methodology Patrick Egan, Data Strategist, Data3Sixty With growing volumes, increased regulations and complexities around their data, many organizations have recognized the need for Data Governance. In most cases charters have been defined and structures have been put in place, but how do we extract the true value of data and how do we start to capture the knowledge and perspectives that can be gained from having a 360° view of your data assets? In this session, we will look at the core capabilities that Data Governance provides and discuss how Data3Sixty is positioned to support these data governance enablers to be further leveraged using a collaboration platform which provides the ability to engage users in the synthesis and syndication of knowledge across the organization.
All Levels |
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| 12:30
- 1:00 DATA GOVERNANCE AND IQ SOLUTIONS |
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Tuesday
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Information Excellence Inside the Digital Core Scott Braker-Abene, Director, SAP Chad Van Derrick, Senior Director, Enterprise Data Management, SAP When you move to a new house, you don’t bring your garbage with you. So why bring your data quality problems along for the ride to S4? You can’t say “we’ll just clean that up in the data warehouse” because you will be reporting on a single copy of the data. And you will be using that data not only for historical reporting, but for predictive and even prescriptive analysis. Using dirty data for forward-looking scenarios is like trying to tell the future in a cloudy crystal ball. This 30 minute session will cover some of the options available to you so that you can address your pain points and ultimately have complete trust in your Information Governance and decision making process. Level of Audience |
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| 12:30
- 1:00 DATA GOVERNANCE AND IQ SOLUTIONS |
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Tuesday
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Data Lineage from Cobol, DB2 and JCL Siddhartha Banerjee, VP of Worldwide Product Sales, Compact Solutions We will talk about our experience in implementing a major global bank’s data governance program focusing on meeting data lineage and ancestry requirements. The projects involved proving dta lineage from Mainframe to Bid Data Cloudera. One of the key elements of this initiative was deriving end-to-end data lineage, providing the regulators capability to track data flows all the way from a Critical data element from Hadoop Distribution layer/data warehouse, staging area to the system of record in mainframe. What attendees will learn:
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| 1:00 - 2:00 Lunch | |||||
| 2:00
- 2:50 CONCURRENT SESSIONS |
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Tuesday
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The
Whale or the Shark: When Shrinking the Team Makes Sense Kevin Crog, Data Manager, Western Reserve Group Insurance A Data Governance core planning team is an essential element of most programs. The core team is an excellent forum for discussion, planning, and collaboration. However, it is often easier to get things done with a small team of key people. This presentation will focus on how to build and manage project teams to reach program objectives. Discussion topics will include on-going project teams in comparison to tactical project teams, ways to improve project team performance, and examples of struggles and achievements. . In this session, Kevin Crog will describe the lessons he has learned from organizing and directing project teams in support of the Information Asset Management program at WRG Insurance. He will provide recommendations on team size, team makeup, and team leadership. Kevin will also discuss how he addressed challenges that teams faced along the way. Finally, he will share some of the positive effects observed since starting to use project teams at his company. This session will show how to:
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Tuesday
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Emergence
of the Data Governance Architecture Steven Zagoudis, CEO, MetaGovernance Solutions LLC Efforts to advance Data Governance within organizations is forcing Data Governance Specialists, Data Scientists, and Architects to realize that they must function across the organization if they are to truly solve business and technical data issues. But there are so many components to the data and process landscape and elusive metadata is the only glue that binds these components. There is increasing awareness that overall Metadata Governance is required to truly understand the relationship between data, business, and technology. Yet Metadata Governance efforts typically focus on either the detailed technical data, or the business process definition. Metadata tools are creating isolated pools of metadata requiring metadata warehousing to see across the enterprise. Thought leaders in Data Governance are defining a comprehensive Data Governance Architecture that is, in essence, an integration between the Data Governance Stewardship model, Metadata Governance, and advancements in traditional Enterprise Architecture. During this session you will learn:
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Tuesday
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Differentiating
Data Stewards by Scope Michael Kelly, Chief Data Officer, University of South Carolina The complexity of an organization is reflected in its org chart. Subunit managers are responsible for widely varying kinds of data and information, radically different in sensitivity, volume, and location - what we might collectively call scope. Consequently, data stewards should not all be created or empowered equally. As Chief Data Officer for the University of South Carolina's 8-campus system, Mike Kelly manages a data governance framework including a data stewardship program that oversees data standards, data quality & integrity, identity and access management, and decision support. Orchestrating participation of the right data stewards, on the right topics, at the right time is key to effective and efficient enterprise data governance. Session highlights include:
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Tuesday
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Governing
Data – A Democracy or Dictatorship? Frank Cerwin, Director, Data Architecture & Services, McDonald's It’s an election year in the U.S. and we’ve heard numerous candidates talk about how they would govern if elected. You’ve been elected to implement and run your organization's data government. Congratulations! How will you solve the issues of your data nation? Can you deliver on the campaign promises you made in your business case? If your organization's information is on social sites, you must be involved in “foreign policy” to manage your master data. You may also have to work with “special interest groups” who have their own agendas? What form of government should you establish to govern your organization’s data? To paraphrase one of the popular campaign slogans during this election - It’s Time to Make Your Data Great Again! This session will provide insights and ideas for governing your data including:
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Tuesday
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How
to Get Started With Data Quality Karen Jensen, VP, Manager of Enterprise Data Quality, M&T Bank M&T Bank embarked on the journey of enterprise data quality management in 2015. This presentation details our approach, lessons learned, and a proposed roadmap for maturity in the data quality space. Topics Include:
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Tuesday
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Join the Data (Governance) Revolution Brian Keil, Managing Director of Global Data Management, Charles Schwab Stan Christiaens, Co-Founder and Chief Technology Officer, Collibra Calling all data citizens! The time has come to rise up against the data dictators and fight the data anarchy. Join the data (governance) revolution. It’s your data. It’s time for you to own it, use it, improve it, and share it. Join Stan Christiaens, Collibra Chief Technology Officer and Data Revolutionary, as he explores why now is the time for your organization to embrace true data governance, and examples from organizations who have successfully launched a data revolution. During this session, we’ll explore:
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| 2:50 - 3:10 Room Change | |||||
| 3:10
- 4:00 CONCURRENT SESSIONS |
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Tuesday
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Mostly Cloudy with a
Chance of Governance: Adopting New Strategies for Governing Data in the Cloud Anthony Algmin, Chief Data Architect, Uturn Data Solutions In the early days of cloud computing, organizations typically moved specific workflows, and what went into the cloud looked a lot like what companies had in their on-premises environments. These workflows were considered a bit “non-standard” but were governed adequately with existing frameworks. That is now changing in a big way. Many organizations are now moving their entire IT infrastructure to the cloud. Those that aren’t will likely be considering it soon. The power, dynamic scalability, and cost effectiveness are unparalleled. Those of us involved in data governance should assume that we will soon be working for cloud-focused organizations, if we are not already. Data governance must not be what stands between our companies and realizing the potential of the cloud! Cloud governance must provision access with a series of constraints while allowing folks to do what they want without unnecessary resistance. By establishing IT and data governance frameworks that can handle the increased demand created by unlimited computing potential, we will help our companies make the most of their cloud investments. This session will explore the impact the cloud is having on governance; and more importantly, the impact governance can have on the cloud. Session highlights include:
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Tuesday
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Initiating Data Governance
in a Consumer Packaged Goods World, Our Experience at Dr Pepper Snapple Group Chuck Jensen, IT Manager, Dr Pepper Snapple Group Kate Wood, Data Governance Director, Dr Pepper Snapple Group Data Governance in a Consumer Packaged World, differs from that in the Finance or Medical fields. We do not govern personal information, we govern our customers, our products and our pricing. We work through multiple routes to market. This made the search for a Data Governance Tool challenging. Our Journey included a 6 month search for "THE" Data Governance Tool, the tool we thought would solve all issues and churn out the perfect reports. In the end we felt a bit like Goldilocks, there just didn't seem to be the right fit. We decided to build our own matching and reporting tools and we'd like to share the experience, where we are now and what the future holds. We'll share with you:
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Tuesday
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Lies, Damn Lies, and
Statistics: How NOT to do Data Governance and Data Quality Metrics Kathy Rondon, Chief Operating Officer, The Reports & Requirements Co A mature data governance program requires the use of metrics to measure the impact and performance of the program, but how exactly does one do this? And how does a program avoid “bad metrics:” measures that are either incorrect or misleading or that answer the wrong question? Metrics that fall into this category can be worse than no metrics at all, opening the organization to regulatory risk, loss of credibility, or throwing good money after bad. In this presentation, we will discuss some of the most common mistakes made in devising metrics and how to avoid them. You will learn:
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Tuesday
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Shell
Downstream Data Governance and Quality Management Approach Sonia Couté, Process Manager - Data Technical Assets, Shell Oil Company Don D. Greene, Global Process Manager, Downstream F&E, Shell Oil Company Managing Master Data, Data Governance and Data Assurance in an uncertain Business environment can be challenging. Shell's Operational Excellence Data Operations has excelled in being accepted by the business and has provided the downstream business with ample evidence showing how data quality impacts the bottom-line. This session will show how the organization interacts with the Business, develops Data Quality Standards, Data Quality Reporting and conducts Cost of Poor Data Quality and Cost of Unused Data case studies. In addition, we will describe how the organization conducts Data Assurance projects and works directly with the sites to ensure Connected Application Databases remain aligned with GSAP data. Level of Audience |
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Tuesday
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Case Study: Governing the
Sourcing of Data from the Internet Lisa Baughman, North America Data Governance Leader, Dun & Bradstreet Malcolm Chisholm, President, AskGet Inc Dun and Bradstreet is a leading provider of business information that uses many sources of data to build its products. In recent years, the Internet has become an increasingly important environment from which data about businesses can be harvested. While wishing to use the Internet in this way, Dun and Bradstreet realized there are complex legal, privacy, and compliance issues that have to be overcome before Internet-sourced data can be successfully used. The Enterprise Data Governance (EDG) unit was tasked with providing guidance on how the company should undertake these activities. EDG found that there are a variety of sources and methods that need to be considered within the context of the Internet, and developed a set of tools and techniques that the company could apply to all of its initiatives dealing with Internet data. This case study describes these tools and techniques in detail. Attendees will learn:
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Tuesday
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Building the Data Governance Playbook at VMWare Ajay Sabhlok, Senior Director IT Business Intelligence, Advanced Analytics and MDM, VMWare Managing data policies and improving data quality go hand in hand. Large, complex organizations require highly usable systematic solutions that implement data policies. Controlling master data entropy, insuring stakeholder participation, and enabling continuous data quality monitoring and improvement are critical elements of VMWare’s data governance program. Learn how VMWare is driving master data consistency, improving BI and reporting capabilities, and managing organizational responsibilities for data. Join Ajay Sabhlok, VMWare’s IT Director in charge of Master Data Management, and learn how they tame organizational complexity and achieve active data governance participation by building a world-class data governance capability. Level of Audience |
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| 4:00 - 4:40 Ice Cream Break & Exhibits Open | |||||
| 4:40
- 5:30 CONCURRENT SESSIONS |
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Tuesday
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Navy
Federal Credit Union: A Case Study in Business-Driven Data Governance Stephen Bobersky, Manager, Data Management Services, Navy Federal Credit Union Carol Hayes, AVP, Enterprise Data Strategy and Services, Navy Federal Credit Union Navy Federal Credit Union, a leading financial institution serving more than 6 million military members and their families, wanted to provide a higher degree of personalized service to its members by leveraging its available in-house data. Navy Federal began this journey by establishing a strong data governance and information quality program driven by the business. Not always an easy process, Navy Federal’s experience is a story of strategy, culture, change management, and technology lessons. Carol and Steve will share some real-world examples of the approach Navy Federal adopted to enhance its data management capabilities and better serve its members. The case study will include an exploration of how Navy Federal:
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Tuesday
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Data
Quality - More than just CSI Dorene Cardozo, Data Architecture Data Lead, State Farm Why do we need Data Quality processes? If everything is coded correctly and tested, then there should never be any data quality issues, right? Seems great in theory but let’s face it, reality can be very different. Who participates in Data Quality practices and how do they participate? Learn how the Enterprise Architecture, the Business, Data designers, screen designers, Database Administrators, Application Developers, Testers and even the Data Quality team all play a role in the various stages of the Data Quality life-cycle. More importantly you will also hear about practical Lessons Learned by the presenter in her experience at State Farm. Level of Audience |
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Tuesday
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How
to Build a Successful Hadoop Data Lake Denise Sawicki, Director of Marketing, Waterline Data Big data and data science promise to bring unprecedented levels of insight and efficiency to everything from working with data to working with customers to curing cancer. To successfully deliver on this promise, traditional enterprises are building data lakes, which bridge the gap between enterprise data warehouses and the freewheeling culture of modern Internet companies. An enterprise data lake must provide three new capabilities: cost-effective scalable storage and computing; cost-effective data access and governance; and tiered, governed access, based on user needs, skill levels, and applicable data-governance policies. Drawing on a 30-year career developing leading-edge data technology and working with some of the world's largest enterprises on their thorniest data problems, Alex Gorelik, author of the forthcoming O'Reilly book The Enterprise Big Data Lake, discusses the considerations of and best practices for building data lakes, with examples taken from the world's leading big data companies and enterprises. Topics include:
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Tuesday
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Data Quality Audits on a Shoestring Budget Anzel Schonfeldt, Resident Technical Advisor South Africa, John Snow Inc. This session will detail how we conducted 412 data quality audits in a low-resourced setting, the logistical, design and implementation issues encountered, lessons learned and key takeaways from the auditing process. Approximately 50 fieldworkers were deployed within a certain geographical radius of their homes to gather information for these audits. During the course of the audits, several issues were encountered, including the lack of a master facility list or unique facility identifiers to plan fieldwork visits with, lack of geocodes and contact details for facilities, scheduled audit appointments not being honored, transport issues in getting fieldworkers to scheduled appointments, and source documents being rationalized mid-point through the assessment period. A home grown data collection tool was created to assist in gathering data for this effort. Key take away points would include
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Tuesday
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Establishing
a Data Governance Domain Committee Diane Cervantes, Manager Enterprise Data, Quest Diagnostics Michelle Cunningham, Manager Enterprise Data, Quest Diagnostics Establishing a Data Governance domain committee is a critical component of a Data Governance program. This session will provide a case study of how two unique domains within the same organization established their committees and kicked them off. Topics include:
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| 5:30 - 7:45 EXHIBITS AND RECEPTION | |||||
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