Tutorials and Afternoon Conference Sessions
December 4, 2017
Monday December 4 7:00–6:00 |
Registration | ||||
Monday December 4 7:00–8:30 |
Continental Breakfast | ||||
8:30 - 11:45 MORNING TUTORIALS | |||||
Monday |
AM1 - Data Governance 101: Policies, Processes, Roles, Metrics David Loshin, President, Knowledge Integrity In this introductory tutorial we provide an overview of the policies, practices, and roles associated with initiating a data governance program, as well as methods for defining and presenting metrics for management and sustainability. An effective data governance demands practices and techniques for establishing the corporate value proposition for data governance, defining and approving data policies, putting those policies into production., and ensuring that the policies continue to be observed. This requires effective communication of data policies and associated guidance across line-of-business boundaries, as well as repeatable processes for organizing data requirements for all key data concepts across the organization. Assessing the breadth of data requirements and expectations from across the line of business landscape is key, as is ensuring consistent observance of those requirements through the design, development, and implementation phases of the system development life cycle. In this tutorial we will also look at some practical operational aspects of data governance and stewardship, such as documenting data standards, harmonizing business term definitions and semantics, and methods for monitoring of observance to data expectations. Attendees will learn about:
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Monday |
AM2 - Driving Your Data Governance Program from a Business
Viewpoint: Best Practices, Direction and Advice John Ladley, President, Chief Delivery Officer, First San Francisco Partners If you believe information is truly an asset, then engaging the entire business is mandatory. If managing information assets is a business issue, then data governance is a business program. Research shows none of the critical success factors for data governance have anything to do with technology. It is a key success factor that DG is aimed at providing business results, not IT results. It is also a proven fact that strong sponsorship is crucial for the success of any transformation in an organization, and EIM and DG is no different. Because so many DG programs are being initiated by business demand many participants and stakeholders find themselves in new territory. When business leaders are called upon to "do governance,", they need to learn about concepts like stewardship, data quality, culture change and information management, all while still accomplishing their day-to-day responsibilities. This tutorial will walk the attendees through the assessment, definition, design and deployment of a data governance program from a business view. This presentation is intended for business leaders or managers that are new to data governance, or for data governance functions that are having trouble sustaining themselves. The tutorial will cover:
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Monday |
AM3 - Building a Business Glossary Sunil Soares, Founder & Managing Partner, Information Asset In this session, Sunil Soares will cover the following best practices relating to building a business glossary:
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12:00 - 12:30 DATA GOVERNANCE SOLUTIONS | |||||
Monday |
Data Offense or Data Defense: Why Not Both? Paul Brunet, VP, Product Marketing, Collibra Data governance is the secret to delivering the trust and compliance every data citizen needs to help drive your business forward. But for too many organizations, data governance still means control. And lots of it. Isn't it time to think differently about data governance? During this session, Collibra will share why industry leaders are changing their approach to data governance. They'll also highlight the three governance capabilities every organization needs to empower all data citizens to find, understand, and trust their data. Level of Audience: |
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Monday |
Cart Before the Horse? The Relationship of Data Governance and MDM Mark Rowan, Head of Global Sales, Prolifics MDM can be an incredibly powerful tool, breaking down silos of information to enable faster, better decisions and business processes. But achieving this nirvana is not easy, and implementing a tool is not enough. What happens when the source data is in widely diverse formats? When the quality of the data is unknown? How do you ensure that you maintain confidence in your MDM data not only at “go live” but also years into the future? Prolifics will share specific client scenarios where their resulting healthy MDM solutions were built on thoughtful work to understand the data’s true potential, prepare the data, and establish effective long term governance procedures. We will share examples from the financial services and hospitality industries. Level of Audience: |
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1:30 - 4:45 AFTERNOON TUTORIALS | |||||
Monday |
PM1 - Defining
Effective Data Policies David Loshin, President, Knowledge Integrity Conventional approaches to data governance that focus on operating models and org charts are necessary but insufficient, and it is no surprise that these approaches fail to deliver on expectations. In the modern data-driven organization, data governance goes beyond the formulation of a council and initiating a metadata scan. Strategic data governance combines the definition of data policies with methods for enforcement and descriptions of the roles and responsibilities for ensuring compliance and alignment with business objectives. This tutorial explores ways to link data policies to the organization’s business goals as a way of minimizing the risks of diminished effectiveness or even outright failure. By examining the different types of data policies that must be managed as part of a data governance activity, we provide a framework for connecting data management to business needs. We then discuss ways of distilling business policies from business objectives, identifying data dependencies, defining business-relevant data policies, methods of data policy compliance, and ways that tools support data policy enforcement. Attendees will learn about:
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Monday |
PM2 - Rescuing a Struggling Data Governance Program Anne Buff, Advisory Business Solutions Manager, SAS Data Governance programs often have great momentum as they start out but fizzle out over time, some quicker than others. What is it that makes it so difficult to sustain a data governance program? The answer: many things. It takes far more than a solid framework to keep the data governance flame burning. It requires effective communication, an apt environment/culture, and understood value - none of which develop instantaneously. And without ongoing development and care, your data governance program feels the effect. In this session, we will discuss how to identify what may be taxing your data governance program and how to lessen the strain. We will also explore ways to strengthen your program to be more sustainable going forward. In this tutorial, we will share:
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Monday |
PM3 - Best
Practices for Developing Data Quality and Data Governance Metrics Michele Koch, Director Enterprise Data Intelligence, Navient Barbara Deemer, VP Financial Systems and Chief Data Steward, Navient Metrics are critical to marketing and sustaining your Data Governance and Data Quality Programs. This tutorial will provide a detailed, step-by step account of Navient’s successful approach to developing program metrics associated with their award winning enterprise Data Governance and Data Quality Programs. It will also cover deriving business value metrics by quantifying the impacts to generating revenue and avoiding costs. Topics that will be covered include:
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5:00 - 5:45 AFTERNOON CONFERENCE SESSIONS | |||||
Monday |
Building Data Governance from Scratch Kristi Lahti-Johnson, Hennepin County Data Governance Officer, Hennepin County Learn how Hennepin County started their data governance program from scratch and successfully addressed the challenges of governance in local government. Data governance is the universal approach to managing and securing data in organizations. However, it isn't a one-size-fits-all solution. Local public sector agencies are regulated by federal rules, state laws and industry regulations. In addition, these agencies are multifaceted: collecting data on roads and bridges, law enforcement and corrections, energy and environment, licensing and properties, social and protection services, and libraries. These factors create distinct challenges to implementing a data governance program. In this session, Kristi Lahti-Johnson, Data Governance Officer and Responsible Authority for Hennepin County, MN, will share how the Hennepin County Data Governance Team navigates the unique challenges local governments face in respect to protecting data privacy, ensuring compliance with federal and state regulations, and building a culture in which staff know how to manage data responsibly. Topics include:
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Monday |
Data Governance in a Big-Data-as-a-Service-Platform - Utility
Industry Case Study Bob Thomas, Director Energy Market Analysis, Dominion Energy Peter Carr, Principal, CapTech Consulting Learn how Dominion Energy modified traditional Data Governance policies and developed strong governance policies for their newly created cloud-based data lake. This case study explores the appropriate business, technical, and process metadata that should be required in a cloud-based data lake. Learn how these data governance components data quality, security, access and lineage manifest themselves in cloud-based big data solutions. Topics include:
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Monday |
Lessons Learned When Building a Customer Data Strategy Jeraldyn Rivest, Director Customer Data Strategy, U.S. Bank This case study is a fresh approach on how selling data governance is key to building the momentum to inspire and influence stakeholders to support a multi-year customer data strategy. Learn how our approach includes simple words to remind strategists that innovative ideas can be accomplished by proper timing and messaging.
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