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Aligning
Data Strategy With Business Strategy |
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THE
9TH ANNUAL Wilshire Meta-Data Conference AND THE 17TH ANNUAL DAMA International Symposium May 22-26, 2005 • Renaissance Orlando Resort at Seaworld • Orlando, Florida USA The World's Largest Vendor-Neutral Data Management Conference |
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T1 John Zachman For those who understood the value proposition, Enterprise Architecture has always been important. Yet it is only relatively recently that the concepts and benefits of Enterprise Architecture have started to be embraced by a significant number of organizations at a senior level. Perhaps, like the Internet - which existed for almost 25 years before it finally captured widespread attention - the time for Enterprise Architecture has finally arrived! Given this resurgent interest, who better to explain the principles behind Enterprise Architecture than the man himself, John Zachman, the originator of the "Framework for Information Systems Architecture" During this workshop John will explain how and why Enterprise Architecture provides value, and the four reasons why you "do" Architecture including alignment, integration, change management and reduced time to market. Without Architecture, there is NO WAY you can do any of these things. This presentation begins with a brief definition of what Enterprise Architecture is, and then develops the logic as to its value to the Information Age Enterprise. Speaker Biography T2 Tom Haughey Data modeling is not just some mathematical formula that can be applied to data to produce a single answer. Situations present themselves that are exceedingly difficult to solve in data modeling. Other situations are so tricky that there are many different ways to solve them. Both types of situations stymie the novice data modeler, and challenge even experienced data modelers. This presentation will present several of these most challenging situations and propose alternate ways of handling them. Abstraction in Modeling Analytical Modeling Hierarchies Time and History Denormalization Real life examples. Speaker Biography T3 Ronald G. Ross Gladys S.W. Lam In this tutorial, Mr. Ross and Ms. Lam explain how the business rule approach can improve your entire requirements process. Starting with the business model, they identify each relevant deliverable and show where business rules fit in with them. Specifically, they show how business rules address the issues of motivation and guidance – in other words, the question of “why.” They detail how you can use business rules to develop business tactics in a deliverable called a Policy Charter. Continuing, they focus on the system model and again discuss how business rules fit with each deliverable. Special emphasis is given to how business-perspective rules differ from system-perspective rules, and what you need to do to translate between the two. Finally, practical refinements to system model deliverables are examined, not only to exploit business rule ideas, but also to maintain a consistent focus on validation and communication from the business perspective. Finally, they offer guidelines for how business rules should be expressed, and how they can be managed more effectively. The business rule approach offers practical new
techniques to create more effective business solutions, to blueprint
the system model, and to speed-up the requirements process. These
innovative methods have proven highly successful in organizations
of many different types and sizes. This tutorial will show you how
to: Speaker Biography Gladys S.W. Lam is Principal of Business Rule Solutions and the co-founder of Business Rule Community. BRCommunity.com is a vertical community for professionals working with business rules and related areas and is home of the on-line Business Rules Journal. She is the co-creator of the BRS Business Rule Methodology, ProteusTM. T4 John Ladley The impact of information on an organization is changing. In addition to the traditional "efficiency gains" from data strategies, companies are now confronted with high-risk situations (e.g. Sarbanes-Oxley) as well as the need to truly change their business through using information. At one time, data strategies implied figuring out what kind of mix of information delivery, data quality and repository "stuff" to buy and assemble. Now the data strategy must not only be able to manage and deliver information; it must be a sustainable, business-aligned process that not only manages information assets, but also manages corporate risk. During this one-day tutorial, attendees will learn how to create a sustainable data strategy. The emphasis will be on business alignment and value, risk mitigation, and designing and deploying a cost-effective, useful data strategy program. We will cover structured and unstructured content. Several case studies will be reviewed to provide insight. This class will also cover the underlying frameworks (meta data, business intelligence, etc.) but is not a class in selecting tools or technology. - Vision and Alignment Each attendee will leave with a checklist of deliverables to determine the type of activities they need to execute for their own organizations. Speaker Biography T5 Larissa Moss If data warehouses are supposed to be all about data integration, then why are we using traditional methodologies to build them? We know that those waterfall methodologies are designed to produce stand-alone systems and don’t contain cross-organizational data integration tasks. Some data warehouse projects use no methodology at all. Yet, we know that data integration does not happen by osmosis or we wouldn’t be facing the current challenges with our “dis-integrated” data islands. This tutorial compares the silo development approach of data warehouse applications that use traditional waterfall methodologies to the integrated development approach using a cross-organizational data integration methodology. Data warehouse managers, data management professionals, and business users will learn how to organize data warehouse project teams and how to coordinate their activities under an overall data warehouse program. This tutorial covers: - The software release concept – an “extreme”
iterative development approach Data integration has been a hot topic for years, but there is a shortage of step-by-step "how to" instructions. This tutorial is just that - tailored for data warehousing projects where data integration is of utmost importance. Speaker Biography T6 Larry English Poor quality data definition and data models cause
information quality problems, miscommunication among business and
systems staff and increases data redundancy and the costs of application
development and maintenance. In this tutorial, Mr. English leads
you in a Root-Cause Analysis workshop exercise to identify the root
causes of poor quality. He describes the characteristics of quality
data definition and data models and how to "design quality
in" to the data definition and data modeling processes, using
quality techniques such as Kaizen®, Quality Function Deployment
and other quality techniques from his widely acclaimed book, Improving
Data Warehouse and Business Information Quality. Speaker Biography T7 David Marco Effectively meta data management is no longer an option, but an absolute requirement for corporations and government agencies. Companies have realized that without meta data their IT departments cannot manage their systems and their systems are not providing true value to the business end user. Organizations are implementing managed meta data environments (MME) to provide them an enterprise meta data management solution. This practical course leverages the lessons learned from companies that have successfully deployed MMEs. The case studies demonstrate the importance of having a methodology for defining meta data requirements, capturing and integrating meta data, MME architectural components, how to calculate ROI, and develop a project plan, advanced meta data architectures, pulse-of-the-market analysis of meta data integration tool vendors, methodology for defining an attainable project scope, and a presentation of the Data Stewardship Framework. This course is adapted from Mr. Marco’s book "Universal Meta Data Models" (John Wiley & Sons, 2004). You will learn: - Six Architectural Components of the Managed
Meta Data Environment (MME) Speaker Biography T8 Todd Stephens This tutorial focuses on the formulation and implementation of an enterprise metadata strategy. Participants will learn techniques to understand the role of metadata in the development of Enterprise Business Intelligence (EBI). The Metadata Services Group within BellSouth has spent the last five years developing an enterprise metadata solution based on a solid product line and a customer service focus. This tutorial will develop the attendees understanding of how to develop a successful enterprise metadata implementation as well as look into a couple of case studies of value creation. We will examine the principles of marketing, selling strategies, service offerings, product design, architecture, team construction and overall strategy of delivery for an enterprise metadata solution in both the structured and un-structured world - Increase your understanding of which strategy
options make the most sense and which do not. Attendees will learn the following Speaker Biography T9 Dave McComb Semantic Technology is about to explode in the marketplace: independent projections suggest a $60 billion industry by the year 2010. The good news for the data management community is that people with Data Modeling and Analytic skills are in the best position to capitalize on this trend. Semantics is the study of meaning. Semantic Technologies are those that take advantage of a more formal, and computer interpretable, expression of the meaning of the information stored in our systems. With Semantic Technology we will be tagging meta data as well as instance data with ontologically agreed terms, in a way that our systems can use to improve search, integration and more. This tutorial is designed to bring data professionals
up to speed on Semantic Technologies and how they will transform
pretty much all of the technologies we use. The tutorial will cover: This tutorial is partly a "heads up" to this new family of technologies that will be changing the way we conduct our business. It is also meant to provide some insights that can be applied immediately by any data professional who deals with semantics (and all of us do). It is aimed at changing the way you think about information. Speaker Biography T10 Graeme Simsion As every data professional knows, the toughest part of the job is engaging the business: understanding their requirements, winning their support, and meeting their expectations. These are consulting skills – and even if you’re “only” providing services within your own organization, you’re a consultant – like it or not! And many of the techniques that the best external consultants use are equally relevant to you. In this workshop, Graeme will share principles, techniques and tips learned from 20 years of building and managing a successful consultancy. He’ll show you how to: - Gain a deeper understanding of business needs
and priorities This is a heavily interactive workshop, with time set aside for discussion of case studies and issues raised by attendees. We should add that external consultants, particularly those working independently, have also found Graeme’s consulting skills workshops valuable! Speaker Biography Click here for the Online Registration Form Questions
about attending? Call Wilshire Conferences
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