Conference Sessions and Afternoon Workshops
November 18, 2011
| Friday 18 November 7:00–3:30 |
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| Friday 18 November 7:00–8:00 |
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| 7:30 - 8:00 SESSION | ||||||||||||||||
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Meet the MPO: Metadata Governance Strategies and the MPO Metadata Tools Survey William Brooks, Treasurer, The Meta-Data Professional Organization The Meta-Data Professional Organization (MPO) is a non-profit international association comprised of business and IT professionals in all areas of meta-data practice. The MPO brings together individuals with interests, expertise, or hands-on experience in meta-data use from all areas of private and public enterprise throughout the world and seeks to disseminate technical and professional information to meta-data practitioners of all levels of experience. Join us on Friday morning, November 18th, learn more about the MPO and participate in a casual roundtable discussion about balancing the need for metadata governance against the demand for agility and the perception of governance as a bottleneck. Key discussion topics include:
The MPO will also present a sneak peek at some of the results of the its ongoing 2011 Metadata Tools Survey. This meeting is open to all conference attendees - you do not need to be a member of the MPO to attend this meeting. For further information about the MPO please visit http://www.metadataprofessional.org. |
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 8:00
- 9:00 CONCURRENT SESSIONS |
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Lessons Learned - Data Governance in Federal Government Iris Dawkins, Information System Engineer, Lead, The MITRE Corporation Elie Hayeck, Information Systems Engineer, Principal, The MITRE Corporation Information is one of the most valued enterprise assets of the federal government. As the volume and complexity of data increases, the need to deliver successful data governance programs has become critical. As an advisor to the federal government for systems and information engineering and related topics, The MITRE Corporation is a proponent and active participant in the implementation of data governance. For this presentation, we will share the lessons learned from implementing data governance programs in two different government agencies. The presentation will address how the needs of both agencies opened the door for improving communication in all data matters and achieving a better appreciation for data quality. The first case study will describe the experiences of one agency as it initiates a program to govern an ERP system. The second case will describe the steps taken to initiate data governance in a federated environment. We will use the case studies to discuss:
This presentation will focus on the fact that both case studies started from the bottom up. We will address the lessons learned from identifying the advocates through the establishment of the data governance council. |
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PRACTITIONER PANEL: Real World Success in Data Governance This panel discussion will focus on real life experiences and challenges encountered by practitioners in starting, deploying and sustaining data governance and data stewardship programs. Topics include:
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| 9:00 - 9:30 COFFEE BREAK AND EXHIBITS | ||||||||||||||||
| 9:30 - 10:30 CONCURRENT SESSIONS | ||||||||||||||||
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Data Ethics - a Perspective for Data Governance and Stewardship Anne Marie Smith, Principal Consultant, Alabama Yankee Systems LLC For too long data and information management specialists have washed their hands of responsibility for the ways data is used by business people. Generally, a data manager's professional responsibility for data has been limited to making data and information 'fit for use' for a particular business purpose. But what are those purposes, and are they ethical? Is it possible for business to be aware continually of the potential technical or process breaches of ethics in their planned data use? Are business data and information consumers solely responsible for ethical breaches, or is there an advisory role for data and information management professionals (including stewards) in the ethical use of data? This presentation will provide categories and example scenarios where data professionals have an ethical responsibility to influence the proper use of data, and will offer some suggestions for instituting an ethical approach to data management and usage for organizations, by data stewards and officers of data governance initiatives. In this presentation you will learn:
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Communicating Data Governance (Developing the plan) This talk will describe steps required to develop data governance communication. While data governance isn't a new concern for organizations, many parties are newly exposed to the wider needs for data governance and the unacceptable results of poor data governance increasing awareness. Developing an efficient/effective communication plan is a critical success factor in the success of any data governance organization. In the past, the majority of plan focus has been on technical aspects of data governance. Now we know that at least three data governance communication-types (internal, responsive, and proactive) are required for your organization. Other aspects of data governance communication planning include: when specifics are required, where to get certain information, and how to develop and implement the plan. |
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Building a Data Glossary and Governance Framework in a Financial Services Organization MetLife Investments is the division of MetLife that is responsible for investing insurance-related income for the entire group. A large number of databases have been implemented over the years in the Investment's environment. The need to unlock value from the data, plus additional drivers such as increased need for regulatory reporting, have led to the development of a number of business intelligence (BI) environments. A major issue in developing these environments has been difficulties in understanding the production data. In response, MetLife Investments has developed a Data Glossary with an associated governance framework so that data can be understood , mapped, and used in reporting with more certainty in the BI environments. The Data Glossary is oriented to important data elements, including some which have been repurposed by Operations. As a result the Data Glossary has been built using data-centric inputs from IT and business-centric inputs from the business. This holistic approach has provided the degree of reliability which was sought. Attendees to this session will learn:
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| 10:30 - 10:40 ROOM CHANGE | ||||||||||||||||
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KEYNOTE PANEL: The Elephants in the Room…Big and Difficult Governance Issues Data governance is much more than good process management. Once you start down the road you encounter lots of interesting challenges, some of which are easily handled and others much more difficult. Some issues can be anticipated, while others catch you by surprise, and either way, most are easily underestimated. This panel tackles some of those really big, difficult issues that might otherwise sneak up and consume you, perhaps even derailing your entire governance program if you don't manage them on a timely and effective manner.
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| 11:45 - 1:00 LUNCH AND EXHIBITS | ||||||||||||||||
| 1:00 - 4:15 Afternoon Workshops | ||||||||||||||||
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How to Develop Your Organization's Templates and Work Products for Successful Data Governance Anne Marie Smith, Principal Consultant, Alabama Yankee Systems LLC Over the past few days you have learned the fundamentals of governance and have heard success stories from companies who have implemented data governance programs. But what work products are needed and where do you start? This interactive workshop will provide some fundamental templates for the data governance manager, and teach attendees how to customize them for their use - and how to use them. This workshop will give all attendees useable artifacts for their governance program. Templates that will be discussed are:
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WORKSHOP: Building a Data Stewardship Practice from Soup to Nuts David Plotkin, Data Quality Manager, Bank of America More and more companies are coming to terms with the fact that they need to have a data stewardship function in order to be effective in collecting metadata (including definitions, derivations, and data quality rules), MDM, and data quality. A lot has been said and spoken about why stewardship is important, but HOW do you do it and be effective with limited resources (in the "real world")? This presentation details how to set up a data stewardship function, how to run it, the details of managing the stewardship committee, recruiting help from IT for technical stewards, what the duties of the data stewards are, and what decisions they have to make. In addition, it covers how to staff projects for stewardship and funnel the information from projects back into the overall stewardship process. You will learn:
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