09:00-12:15
This tutorial presents a strategic guide on how to implement an Enterprise Data Governance to systematically get control of all core data in the enterprise, whether it is used in operational or analytical processes. It looks at why data governance has to be elevated to being an enterprise initiative with enterprise level sponsorship and what has to get done in terms of organisational structure, processes, and technologies to achieve trusted, traceable, commonly managed data for use anywhere in the enterprise.
09:00-12:15
As organizations attempt to adopt and implement advanced technologies, they often discover that a successful implementation requires a higher degree of data governance maturity than had been anticipated. SOA provides us with a textbook example but the lessons learned here also apply to other major organizational data-driven initiatives. Key drivers behind SOA include:
It is impossible to manage the above without implementing a mature data governance process. This tutorial describes the how organizations should use a data governance-based approach when implementing SOA and other projects that are dependent on proper metadata management. We show how to use data governance to "size" projects, set mutually agreed upon business and technical expectations, and perform verification and validation of key project milestones and deliverables. Attendees will understand the:
09:00-12:15
This tutorial is specifically aimed at planning the steps of a change management effort unique to data governance. This tutorial will present the steps required to build the data governance program road map – and cover in detail the barriers to overcome and sustain the many efforts and initiatives required for successful governance. Attendees will leave with a basic tool kit for developing their own plan to ensure that the changes required for successful data governance are specified, monitored, and sustained.
13:15-16:30
With the idea of Data Governance gaining wide acceptance, the question remains – how do you execute on this idea? What should the organization look like? What about stewardship (and what are stewards anyway - and where do they come from)? This session will also cover topics such as what should be governed, the parts of the organization that must contribute to a successful implementation, and how you start the enterprise down a path to create and govern metadata and data quality. You are going to have to change the culture of the organization and sell the idea of governance into the organization from top to bottom. You'll learn how to do that too. In the end, you should walk away from this tutorial with a clear idea of how to build a successful Data Governance practice starting from nothing (or very little, anyway). . 13:15-16:30
Master Data Management (MDM) is a complex, long-term, multi-dimensional program. This means that governance is much more necessary than in stand-alone projects, and lack of governance is one of the biggest risks in MDM. This tutorial describes the different components of governance needed to successfully implement MDM. The dependencies and sequencing between these components is examined, along with the infrastructure and business processes that have to be provided to implement them. The relationships with relevant functions within IT and the business area of the enterprise are reviewed in detail. Management of these communities of stakeholders is vital to the success of MDM and it cannot be done in an ad-hoc manner. Also, governance during the build-out of the MDM competency is distinguished from governance required for successfully operating a production MDM environment. Governance is firmly emphasized as being logically prior to the MDM tasks which are to be governed, and techniques for making the case for governance, and developing governance components are described. Attendees will learn:
13:15-16:30
Effective Data Governance relies on a comprehensive, commonly agreed framework of rules, through which the behaviour and use of data is controlled. In organisations where a formal Enterprise Architecture function is in place, these rules should be reflected in the Information Architecture, and its links to the other architectural layers (in particular the Business Architecture). This presentation explains, by providing and discussing a series of structured knowledge models, the way in which architectural rigour is applied to Data Governance. The audience will be shown how such an approach:
16:40-17:30 Join us for a special panel session with the conference's tutorial presenters. This is a unique opportunity on the first day of the event for you to bring your questions and issues on governance to a group of experts. There will be ample time for questions and comments from the audience. Topics that will be discussed include
Moderator:
Panellists:
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