Conference Sessions - June 12, 2018
| Tuesday June 12 7:30–8:30 |
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Tuesday
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The Data Governance Professionals Organization (DGPO) Annual Summer Meeting Mind Your P's to Manage Your Q's: How Policies and Procedures Can Help Keep Everyone on Their Best Behavior Anne Buff, VP Communications, Data Governance Professionals Organization Our Mommas always said, “Make sure you mind your P’s and Q’s” making sure we were on our best behavior especially when we were in groups of large company. Wouldn’t it be nice if everyone was on their best behavior when it comes to Data Governance – especially as our programs grow? It can happen. We just have to mind our P’s and P’s (policies and procedures) to manage our Q’s (questions, queues, quests, quality and even our quirks)! The Data Governance Professionals Organization (DGPO) recognizes process (policies and procedures) as one of the six core data governance competencies. In this session, members of the DGPO will share how to define and implement data governance policies and procedures to appropriately manage information needs and requirements across the entire business. We will also discuss how to enforce policies at the right level and enable the business without creating bottlenecks or obstacles. In this session you will learn:
Level of Audience This session is open to all conference attendees. You do NOT need to be a DGPO member to attend this session. |
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| Tuesday June 12 8:30–8:40 |
Welcome |
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Tuesday
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KEYNOTE: Advice from a Chief Data Officer James Tyo, Chief Data Officer, Nationwide As business needs and technology continues to change and evolve, it is critical the data is managed with a specific focus on governance. Ensuring data governance and quality by focusing on critical data elements drives better speed to market and supports data as a competitive advantage. A culture of data governance and quality cannot be achieved without having the right foundation of enterprise functions and roles (i.e., people), lines of defense and oversight (i.e., processes), and capabilities and tools (i.e., technology). In this keynote, James Tyo will discuss the challenges of governance from the perspective of a Chief Data Officer and provide takeaways and advice. Level of Audience |
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Tuesday
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KEYNOTE: Connect at the Data Layer and Transform your Business Helen Arnold, President, SAP Data Network With 2.5 million terabytes of data being produced every single day, data is the center of gravity in today’s digital world. But data alone does not redefine business or disrupt markets. It takes the right practices to win in the data game. The fundamentals of collecting, ingesting and storing data is a herculean challenge for most companies. Along with data wrangling, companies are confronted with challenges around data coverage, quality, and GDPR. Eighty percent of a data scientist’s time is spent in data preparation before any analysis or Machine Learning can be applied. Traditionally, data drove operational excellence and better decision making. Today, it additionally drives competitive differentiation and growth across industries and business processes, and as such is THE driving force for any digital transformation across the enterprise and its ecosystem. But how is it possible to go from data wrangling to data monetization? Hear best practices and customer examples of how contextualizing raw data can enhance customer experiences and create new revenue streams. Level of Audience |
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| 9:50 - 10:15 Coffee Break | |||||||||||||||
| 10:15 - 11:00 CONCURRENT SESSIONS | |||||||||||||||
Tuesday
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BAM! Kicking Data Governance Up a Notch! Anne Buff, Advisory Business Solutions Manager, SAS As Emeril Lagasse would say, "BAM! Let's kick it up a notch!" You've implemented data governance. You've got the council and stewards and well defined workflow. But, if it seems like you are serving up the same old stuff, it is time to spice up your data governance program. It is not that your recipes aren't good, they can just be better. In this session, we will look at some ingredients, methods and techniques that you can use to add "kick" to your data governance program and keep 'em coming back for more. What You Will Learn:
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Tuesday
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Implementing
an Effective Data Governance Communication Plan Steve Zagoudis, CEO, MetaGovernance Identifying the right stakeholders, then knowing the wants and needs of this audience is the most critical aspect of defining and implementing a Data Governance Communication Plan. Targeted messaging needs to resonate with the different stakeholders associated with Data Governance across the organization, and amongst external stakeholders. Effective Data Governance communication requires identifying the audience and providing the needed communication in the vocabulary associated with the different business processes, risks, data subjects and objectives. Sustainable Data Governance success requires communicating the degree to which business units are interdependent. Understanding the relationship between business units and the data they own, manage, and consume provides a clear path to defining these stakeholders. This session provides proven techniques to identify the different stakeholder groups and understanding how to reframe and deliver the needed communication messages based on their specific business drivers and data usage. During this session, you will learn:
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Tuesday
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Lessons Learned from Implementing Data Governance and Metadata Programs at AIG David Williams, Head of Data Governance, Standards and Risk, AIG Richard Pluschau, Head of Data Governance & Information Management, AIG General Insurance Marichelle Tanag, Head of Data Management Controls and Practices, AIG Benjamin Franklin once said that nothing in life is certain except death and taxes - we like to believe that organizational change is also a part of that equation. This session will provide an overview of the changing landscape of AIG, along with lessons learned for setting up a data program that adapted to such changes, including:
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Tuesday
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Data
Stewardship Journey: Awakening and Reinventing a Dormant Program Amirah Fayek, Manager, Corporate Planning and Performance, The Canadian Medical Protective Association So often programs such as Data Stewardship lose visibility, awareness, and fall dormant. How do you reintroduce a dormant program? What will ensure data stewardship gains the traction and awareness critical to success this time around? This presentation describes how Data Stewardship 2.0 can be launched successfully. Hear firsthand about the ways to achieve buy-in from key stakeholders, generate awareness and excitement, and implement a sustainable program. Primary takeaways:
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Tuesday
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To Infinity
and Beyond - Expanding your Data Governance Influence Governing data in a Fortune 100 company is comparable to “boiling the ocean.” Improved and matured data governance is about continually evaluating the current path/process and improving for greater effectiveness and efficiency. This presentation will include the following:
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Tuesday
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Business Transformation Requires Data Transformation Rex Ahlstrom, Chief Strategy Officer, BackOffice Associates Hear how you can move from Data Management and Governance theory to successful implementations and business as usual Governance programs. These real world business transformations give insights into challenges, solutions, best practices and lessons learned on the journey to business transformation. Level of Audience |
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| 11:00 - 11:15 Room Change | |||||||||||||||
| 11:15 - 12:00 CONCURRENT SESSIONS | |||||||||||||||
Tuesday
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Data
Management in A Changing Data World: Now, Next and the Future Michael Smith, SVP, Head of Data Strategy, Governance & Privacy- US Consumer, Citi Bank What are you doing now, so you can prepare for the next and drive results so you can get to the future? More and more companies are relying on data to drive their business. (You've heard the term data is the new oil.) At the same time, the volume and variety of data, and the regulations governing how to manage it, are expanding. Today, most organizations are hard-pressed to keep up with the pace of change and are searching for new ways to adapt and respond quickly. Data management professionals need to think about the Now, the Next, and the Future of data as it is becoming the most important corporate asset. Join Mike Smith as he shares his experiences and advice on what you need to be doing now, to get the results you need tomorrow that will help you begin to plan for the next five years.
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Tuesday
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Re-unifying Your Metadata Silos: The Road to Better Enterprise Data Governance How Dun & Bradstreet's Enterprise Data Governance Team is Solving this Real World Problem Kevin Shannon, Global Head of Enterprise Data Governance, Dun & Bradstreet Philippe Bettler, Director Business Ontology, Dun & Bradstreet Quantities and velocities of data are continuing to grow by leaps and bounds, and along with it, the necessary metadata to enable proper governance. Further complicating matters is the continued existence of legacy and neo-legacy platforms, persisting alongside more contemporary data lakes and associated technologies. And to top it off, metadata assets describing it all are scattered and silo’d across the organization. The need to understand the location, availability, quantity, meaning and permissible use of data assets and properly govern them is becoming exponentially more difficult and pervasive across the enterprise, from front to middle to back office functions. Dun & Bradstreet’s Enterprise Data Governance team is at the forefront of tackling this very difficult problem and solving it for their enterprise. They are promoting a better understanding and ease of use of D&B data by using innovative techniques to connect the dots across metadata silos and answer questions pertaining to D&B’s vast data resources. In this presentation, we will cover the following topics:
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Tuesday
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The Lost Art
of Data Profiling: Best Practices, Tips & Tricks Bob Conway, Data Architect, Information Engineering Associates Data profiling is the technique of inferring the true semantic meaning of data by carefully scrutinizing the structure and content of existing databases. The title refers to data profiling as an art because it is much more than mechanically capturing distinct values and min/max values of data elements. Data profiling is the heuristic interpretation of those statistics to discover the underlying business rules. Data profiling is true reverse engineering. This bottom- up method of data modeling is a valuable complement and validation of top down modeling methods such as user interviews and group consensus (JAD) sessions. Data profiling is also the most reliable way to identify data quality issues and design ETL procedures to mitigate them. This workshop will demonstrate the value of, and present a structured protocol for, integrating data profiling into data modeling and database development methodology through examples of actual data. Level of Audience |
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Tuesday
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Driving Data
Governance in the Agile Development Lifecycle Ted Curran, Senior Director, Chief Data Governance Officer, UPMC Insurance Services Division The focus of this session is how Data Governance roles and activities can add significant value to organizations using Agile development. The session will review Agile activities and ceremonies and where Data Governance can be most beneficial along with the transition from project to operational needs. Additionally, a focus on ensuring customer data and technology needs are understood and quantitative approaches to ensure minimum viable product requirements do not compromise long term data quality. The session will also focus on techniques that can be used to support return on investment planning with data management and agile processes. Finally, the session will leverage research and experience on lessons learned as Agile teams gain proficiency and how Data Governance leaders can adapt. Key takeaways: areas to address Agile processes with Data Governance, Data Governance Roles in Agile, considerations for Agile teams and processes, Tangible data management activities for quick wins and long term success in an Agile environment and Return on Investment (ROI) techniques. Level of Audience |
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Tuesday
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Expanding Data Governance Beyond Compliance Danny Sandwell, Director of Product Marketing, erwin, Inc. Your organization probably spent a lot of time and money to comply with the General Data Protection Regulation – or you may be finalizing your data governance initiative to demonstrate compliance. Now what? How about expanding the ROI of all that work to make data governance pay off in more ways that just compliance? Join us for this session on enterprise data governance as the engine that drives customer satisfaction, decision-making and more. Level of Audience |
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Tuesday
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Best Practices for Monetizing Data for Business Transformation Danielle Grossi, Head of Business Development, North America, SAP Data Network As you implement data quality and governance initiatives, you understand the value of your data and treating data and information as key assets. The next step is to resolve and move beyond data preparation and information quality challenges to applying contextualized data for business transformation. This session shares guiding principles, methodologies, and results on how you can connect and use your business data to reach new customers or existing customers in new ways. Learn how to innovate at the edge without endangering the core to achieve increased growth and competitive differentiation. Level of Audience |
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| 12:00 - 12:15 Room Change | |||||||||||||||
| 12:15 - 12:45 SPONSORED SESSIONS - DATA GOVERNANCE AND DATA QUALITY SOLUTIONS | |||||||||||||||
Tuesday
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Optimizing Data Supply Chains with Conceptual Metadata: Clean Solutions for Messy Business Models Reuben Vandeventer, Founder, Data Clairvoyance Group, & Chief Data Strategist, Infogix Adam Wragge Vigiano, Sr. Data Strategy Consultant, Data Clairvoyance The modern business has an immensely complex data supply chain – the sequence of processes that carry data from the point of creation through its end use for operational and analytical purposes. Metadata provides visibility into the attributes of the vast quantities of data pushed through the data supply chain, but rarely provides context regarding how the data relates to the business model. This presentation explores metadata strategies to close the gap between rigid IT structures and messy business models by capturing the dynamic relationships between data elements and the business processes that rely on them. The result is an ability to visualize business lineage and make targeted investments that remove bottlenecks within the organization’s data supply chain. Level of Audience |
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Tuesday
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Connected Data Governance: Addressing YADS (yet another data silo) and Avoiding YAMS (yet another metadata silo) Ralph Hodgson, CTO, TopQuadrant The cataloging of diverse enterprise data by capturing its full (technical and business) context, its meaning, and its connections across all assets in the enterprise ecosystem is foundational to effective data governance. This means that a data governance environment must represent assets and their role in the enterprise using an open, extensible and “smart” approach. One powerful way to do this is through knowledge graphs –an interconnected set of information that meaningfully bridges enterprise metadata silos. TopBraid Enterprise Data Governance (EDG) uses semantic, standards-based knowledge graphs to support comprehensive, connected data governance. In this talk we will describe and demonstrate how TopBraid EDG’s knowledge graphs are:
These qualities make knowledge graphs an ideal and, arguably, the only viable foundation for bridging and connecting enterprise metadata silos - the main goal of data governance. As an additional benefit, every resource in an EDG standards-based knowledge graph has a globally unique dereferenced web identifier – a URI. Thus, it can be reliably referred to and accessed from any application. Level of Audience |
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Tuesday
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10 Do's and Don'ts of Data Governance Michael Berard, Strategic Manager, Data Management, Experian Data Quality Implementing a successful data governance program at your organization is no small task. It requires executive- and department-level support, a dedicated governance council with line-of-business and IT representation, authority over data across the enterprise, and more! While the benefits of making more data-driven decisions will be felt across every area of your business, the road to get to this point is rife with obstacles. Follow these ten do’s and don’ts to set your data governance program on the path to success, and learn how data quality is a critical component to data governance. Level of Audience |
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Tuesday
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Developing a Maturity Model for Data Quality Processes Vincent Deeney, Technical Director Data Governance & Data Quality, Information Builders Data quality needs a plan not just to meet current requirements, but to adapt to change. This presentation discusses how to understand business drivers that force change, communicate effectively with your business unit partners, focus on key processes that will help you make progress in the short run, and develop a data quality maturity model that can guide your long-term thinking. We¹ll also discuss successful customer implementations and get a view of Information Builders technology that can help you achieve your data quality goals. Level of Audience |
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| 12:45 - 1:45 Lunch | |||||||||||||||
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Tuesday
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KEYNOTE: Converting Compliance to Competitive Advantage Scott Buckles, Business Unit Executive, IBM North America Business Analytics and Unified Governance Solutions Sales Data governance was once considered a requirement only for large, complex institutions. Those firms that have developed this capability into the foundation for digital transformation have turned this burden into a competitive advantage. This session contextualizes how to gain an analytics edge as you embrace compliance obligations—all while accelerating business initiatives, innovation and competitive differentiation. Our speaker will share how to successfully pivot to use regulations as value generators beyond compliance to create a win for your business. Level of Audience |
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| 2:15 - 2:30 Room Change | |||||||||||||||
| 2:30
- 3:15 CONCURRENT SESSIONS |
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It is All
about People- How JLL has been Building up Data Leaders to Meet Digital Challenges HoChun Ho, Global Head, Data Governance and Management, JLL Digital transformation is playing a pivotal role in corporations. As organizations adopt the data-driven approach to innovate the business, the demand for top data talent that could meet the digital challenges has become higher. In a recent JLL survey, it was confirmed that the inability of firms to find suitable people to improve business data is considered one of the top three weaknesses inhibiting the contribution to overall business strategy. This presentation will examine the shortage of data governance professionals, data scientists, data engineers, visualization specialists, and data savvy business analysts. Success cases such as rewarding career paths, job ration, cross-industry hiring, multidisciplinary teams, globalization, systematic training, change management with data culture and other real-life solutions will be discussed. Level of Audience |
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Tuesday
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Leveraging Data Debt - a Powerful Concept for Proving the Value of Data Management and Data Governance John Ladley, Chief Delivery Officer, First San Francisco Partners "Data debt" is a term based on the concept of "technology debt," out of the Agile Development world. Data debt is a concept and metric that will reveal to leadership the huge costs in delaying doing the "right things" with data and information. This session will explain the concept, and offer suggestions as to how to apply this powerful metric to sustaining your EIM or DG program. Level of Audience |
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Tuesday
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Enabling Data Discovery and Analytics through Curation in a Federated Environment Kathy Rondon, Chief Operating Officer, The Reports & Requirements Co Small organizations with complete authority and control over their business and mission data benefit greatly from a centralized data repository with consistent metadata standards across their organization. But what about large organizations or communities of interest where such centralization is neither practical, or really, desired? In a federated data environment, the rigorous and ongoing curation of contextual metadata--for the discovery of data and its appropriate retrieval and use in data analytics--is essential. It is not often done, however, because it requires bridging the gap between technical and business users and a skill set not often found or cultivated. In this presentation you will learn:
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Tuesday
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Mastering Provider
- How to Define & Control your Critical Data Shannon Fuller, Director Data Governance, Gray Matter Analytics In an ever-changing market, Healthcare Providers and Payers struggle to understand the scope and reach of their networks. This is even more critical given the changing regulatory environment. Using the Provider and Location Data Domains as examples, we will discuss the tools and techniques to:
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Tuesday
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Take a Peek at
My Dirty Bits: Data Quality Challenges in the 21st Century Richard Dudley, Data Architect, Quicken Loans If you thought billion dollar contests and championship football game commercials were all fun and excitement, you're not the poor guy who has to try and tell truth from troll when the contest entries come in. I'm that guy. In this talk I'll share some of the lessons we've learned through the years from activities such as these and from our daily activities. I'll also discuss some of the strategies you could use if you ever faced the same issues. Data quality is everyone's responsibility, and requires different strategies at the different system layers and hints for the business as well. Level of Audience |
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Tuesday
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Where Are You on the Governance Journey? Let's Figure it out Together! Brian Mayer, Unified Governance & Integration Practitioner, IBM Analytics Mark Lynch, Information Governance - Information Integration Solution Representative, IBM Analytics Join us for an interactive, hands-on session to see where your organization is today on the governance journey and determine the gap to the enterprise governance goal. During this session, we will walk through a gap analysis in which you can rate where your organization is on the governance journey. You will walk away with an assessment of your organizations governance state and thoughts on how to fill the gaps. Level of Audience |
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| 3:15 - 3:30 Room Change | |||||||||||||||
| 3:30
- 4:00 SPONSORED SESSIONS - DATA GOVERNANCE AND DATA QUALITY SOLUTIONS |
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The erwin EDGE Danny Sandwell, Director of Product Marketing, erwin, Inc. erwin, Inc. has spent the last two years transforming its industry-leading data modeling software into the ultimate data governance platform that also includes enterprise architecture and business process. See how these four domains and technology tools work in tandem for data-driven insights, agile innovation and business transformation all while mitigating risks to ensure regulatory compliance and peak operational performance. Level of Audience |
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Tuesday
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Popular Approaches to Data Lineage: Stop Guessing & Start Understanding Jan Ulrych, Senior Technology Advisor, MANTA Data lineage has become crucial to any data governance program in recent years. And it is obvious why—with tons of regulatory requirements and the ever-growing complexity of IT environments (thanks to more than just the new technologies that power BigData and analytics), it is becoming harder and harder to meet business requirements on time, stay on budget, build trust in data, support self-serviced architecture, and even find some space for continuous improvements. Today, almost every DG solution claims to provide fully-automated and accurate end-to-end lineage. What a surprise when this claim turns out to be false! In this session, we will describe the main and most popular approaches to collecting and managing data lineage and explain their benefits and drawbacks. We'll share a lot of practical examples and point out how they build a business case for lineage. Level of Audience |
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Tuesday
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Crowdsourced Information Governance Matt Wagnon, Senior Director Global Product Strategy, BackOffice Associates Join us for a glimpse into the future of Information Governance as Advanced Semantics, Machine Learning, Crowdsourcing, and Deep Guidance are applied to addressing the wide array of problems that are covered under Information Governance. Level of Audience |
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Tuesday
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The Value of an Assessment Nancy Couture, Senior Director, Delivery Enablement, Datasource Consulting As organizations strive to continue responding to market changes and opportunities, there is an increasing need for operational and strategic information to better support the business. Enterprise Data Management (EDM) initiatives can be significant efforts. There are advantages to an initial assessment before embarking on these initiatives. An assessment provides a roadmap, and a Data Governance assessment can provide a focused roadmap, developed to align with EDM capabilities. In this presentation, Nancy Couture, Data Governance Competency Director at Datasource Consulting, will elaborate on the benefits of a Data Governance assessment, why it’s essential, and the ideal approach for moving quickly from assessment to execution. Level of Audience |
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| 4:00 - 4:45 Ice Cream Break and Exhibits Open | |||||||||||||||
| 4:45
- 5:30 CONCURRENT SESSIONS |
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Tuesday
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Sorry About
That, eh! Data Governance and Quality Strategies: Real World Implementation and
Lessons Learned and Culture Change in a Canadian Federal Government Context Darren Goodyear, Assistant Director, Data Governance Team, Immigration, Refugees and Citizenship Canada Immigration, Refugees and Citizenship Canada launched a data governance program following a data maturity assessment in 2013. We investigate issues, recommend improvements, build business glossaries, and manage a data steward network. Policy changes and technological advances resulted in focusing of efforts to enshrine a culture of data quality. Citizens expect Open Data/Open Government and leaders demand results based on data. Good data is needed for evidence based decision-making, and is a crucial element for advanced analytics. Data-dependent analytics are essential to manage risk, due increasing volumes of people visiting, working in, or moving to Canada. Working with analysts to address data quality problems, our data stewards have become our “eyes and ears on the ground” feeding back issues for resolution, inspiring culture change and continuous improvement. Topics include:
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Tuesday
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A Lawyer, a Salesperson and the Operations Guy Walk into a Bar . . . and, Next Generation Data Projects Emerge Jonathan Adams, Research Director, DATUM Lynn Scott, Co-Chair, Health Care Technology & Innovation Practice, Polsinelli PC The purpose of data analytics is not generating data sets but providing proprietary insights into your company and your industry for a competitive advantage. The true value of the data depends on the context and can be different for each business unit. In today’s big data world, CDOs and CIOs are part of the customer-facing revenue generation equation – bringing new roles with new challenges that require a greater understanding of both legal constraints and business requirements. Effective implementation requires a multi-disciplinary approach that integrates the triad of IT, marketing and legal. A multi-disciplinary approach drives value to the organization’s different business objectives, and controls regulatory compliance risk and optimizes operations. This session will discuss the perspectives of business, legal and IT, and propose steps to building out the integrated approach:
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Lessons Learned on Building a Useful Business Glossary Kevin Crog, Data Manager, WRG Insurance This presentation will be a guide for those looking to begin or improve a Business Glossary within their own organizations. The main focus areas will be: techniques for developing valid definitions, considerations when moving from a small number of terms to a large number, and establishing communication guidelines necessary for capturing changes to definitions. In this session, Kevin Crog will explain strategies for making a Business Glossary that is shared, regularly used, and accurate. Using examples from the Business Glossary project at WRG Insurance, Kevin will highlight the importance of applying Data Governance principles, the benefits of having an executive sponsor, and organizational improvements that come from having a Business Glossary. Finally, attendees will learn about important elements of a metadata repository and techniques for arranging terms into a meaningful taxonomy. This session will show:
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Tuesday
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The GDPR Deadline is
Past- Now What? Malcolm Chisholm, Chief Innovation Officer, First San Francisco Partners On May 25, 2018 the EU’s General Data Protection Regulation (GDPR) came into effect. What does this deadline mean for Data Governance? This session describes how the GDPR can be a foundation to build on for a comprehensive and sustained program of Data Legal, Privacy, and Compliance. This is in contrast to viewing the GDPR as a one-time project that had to be completed by a certain date. The tutorial describes what is needed in order to institutionalize GDPR, once any special project team has been dissolved. The likely effects of regulatory interpretation and case law are examined, together with how Data Governance can prepare and respond. The challenges presented by upcoming legislation, such as E-Privacy, and differences between jurisdictions are likewise examined for their impact on Data Governance. Additionally, recommendations are provided for how the structures and processes put in place for the GDPR can be leveraged for dealing with contractual aspects of data, particularly with data vendors. Attendees will learn:
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Tuesday
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Successful
Implementation and Evolution of a
Data Governance Program Susan Yamin, Enterprise Data Governance Director, Ally Financial Inc. This session focuses on instating a holistic data governance methodology through policies, controls, procedures and standards needed to cultivate a “data control environment” that successfully harmonizes data. Topics include:
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Tuesday
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CSI: Data Management - Or, what we learned on the way to CRM with Data Governance Sam Zamora, Master Data Architect, PIMCO In a perfect world, governance is approached at the onset; the data warehouse is only fed well-mastered data; reporting runs seamlessly from the warehouse; data is pre-prepped before going through ETL, to have all the right attributes; and all of this is consumed in the platform of choice that edge-users are accustomed to, such as their CRM or BI tools. CSI, or the CRM Strategic Initiative at PIMCO was able to do just that. This is the system that Sam Zamora was able to build at PIMCO, to master their contact, organization, and client office detail along with product, location and reference data, wrapped up with a bit of intelligent algorithms and batch processes to build an elegant solution. In this best practices session, Sam will detail his experiences work with the xDM Intelligent Data Hub from Semarchy to solve for governance, quality, enrichment and MDM in parallel. Attendees will learn:
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| 5:30 - 7:30 EXHIBITS AND RECEPTION | |||||||||||||||
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