Vickie Johnston: I am a Data Administration Analyst with United Parcel Service (UPS). I have worked with Vendor Packages at UPS for over 12 years. I have functioned as a Business Operator, Systems Integrator, Application Developer, and Data Designer. This experience has involved customized, off the shelf and hybrid vendor packages. I am currently working on a international airline project to implement a vendor package that will replace 10 legacy applications, produce over 36,000 obsolete data elements and create 21 interfaces. -At UPS, I have been presenting project management techniques for vendor package for the last year. I have also been mentoring project teams and data designers on vendor packages.

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Objects and Entities - Understanding Two Worlds.

Jim Goetsch
Data Architect
Schneider National, Inc.

Are you tired of speaking to alien developers about their Class (f.k.a. object) models? Well, prepare yourselves for a discussion about Class and Data models -- their purposes, similarities, and differences. Then focus on the areas where Data Analysts struggle in capturing and defining the information requirements given the fact that DAs are trying to live in two worlds.

Attendees will learn how to work with Object Models and their developers. They will understand how to read the different types of class associations and be better able to extract information out of the models as well as question them for clarity. Discussion will also center on object id's vs. intelligent keys. Discussion will conclude with the discussion when in the software development process one should create class, logical, and physical models. This last area focuses on the affects of defining the "what" before the "how" or vice versa.

Jim Goetsch has been focusing on information management for the last 10 of his 18 years in Information Services. Presently, Jim is the Data Architect for Schneider National, Inc. in Green Bay, Wisconsin and an Adjunct Professor at Saint Norbert College in De Pere, Wisconsin. Jim spends much of his time helping his company utilize both Data and Class Models.
He has a Bachelor of Science in Computer Science and Engineering from the Milwaukee School of Engineering and a Masters in Business Administration from Cardinal Stritch University. Jim has spoken at the DAMA Conference in 2002 on the Data Analysts role in Object Development and Design.

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Managing a Data Services Organization

Rolfe Jaremus
Senior Manager - Data Services
Trans Union, LLC

This presentation will discuss how Transunion (a private, but very large data) Corporation manages its database group where traditional data resource management practices are a key to our success. This presentation will discuss how we organized ourselves, and how our mission and vision have driven our success. Will discuss tips and techniques that were developed to continue selling our success and continuity as an important team at Transunion.

- Data Resource Management organizational principles, procedures, practices and standards
- Issues affecting central support teams
- Proving the worth of DRM. Keeping goals alive and visible
- Allignment with organizational principles
- Marketing and selling is not optional

Rolfe Jaremus is the Senior Manager of the 22 member Data Services Group at Transunion, LLC. Rolfe has been a data processing professional for 25 years, the past 15 within the data management ranks. He brought relational technology to Tranunion 10 years ago and set up the Data Services organization. He has been working for TU for 13 years. Transunion, LLC. is one of the 3 major credit reporting companies with some of the largest operational databases in the world.

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Deriving Business Value from Enterprise Metadata Management

Todd Moore
Project Manager - Metadata Management
Royal Bank of Canada

The Enterprise Metadata Repository provides: an inventory of the Royal Bank of Canada’s (RBC) information assets; a documentation facility for RBC applications; the capability for impact analysis; and a map for data movement. Deployed in 1993 the repository provides value to both business and technical users via a customized web interface. Implemented as a general-purpose metadata management tool it has been significantly extended to meet specific and unique metadata requirements within RBC. The repository’s use has grown significantly in recent years and has become ingrained into work processes at the bank.

The presentation will describe the enterprise metadata repository implementation at RBC Royal Bank. It will show how the Metadata Management as a component of the Data Management initiative provides value to RBC. The objective of the presentation is to show the audience the importance of metadata and how RBC was able to successfully implement its metadata repository.

Todd Moore is the Project Manager for the Metadata Management team at the Royal Bank of Canada. He has been working with bank's Enterprise Metadata Repository for the past 6 years. During that time he has been involved with the team that has brought the repository from an underutilized application to being a world leader in repository implementations. Prior to his tenure at the Royal Bank, Todd has a number of years of experience as an application developer in repository based and non-repository based development environments.

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Web Services in Context

Dave McComb
President
Semantic Arts

Simon Hoare
Director
Semantic Arts

Web Services are popping up like toadstools after a rainstorm. What are they? Why are they suddenly so popular? Will they live up to their promise of universal interoperability? Are they edible?

This session will start with demonstrations of web services in different contexts, to make sure everyone understands their potential application. From there we will explain the alphabet soup of acronyms that have emerged with Web Service. We will deal with strategies and tradeoffs in applying Web Services to a variety of enterprise issues:

Attendees will come away with an understanding of what Web Services are, how they are likely to fit into their application architecture and some of the key issues that must be dealt with as they are implemented.

Dave McComb, President of Semantic Arts, has been designing and managing enterprise integration projects for 26 years, 13 with Andersen Consulting and 13 independently. He was the project manager and lead designer of the “Organic Architecture” at Velocity.com, which was perhaps the first completely meta level application architecture. McComb is the lead inventor on three software patents, has written and spoken widely and is currently working on a book on Semantics.

Simon Hoare, Director, Semantic Arts, is an enterprise architecture at the implementation level, and has been for 10 Years. He was the lead architect for the server side portion of the Organic Architecture at Velocity. He has considerable experience with Object Oriented Databases, query implementation and software portability. He is co-inventor on two software patents, and certified as a Web Methods developer.

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XML: The Data Management Enabler

Evan Levy
Partner
Baseline Consulting

The emergence of XML as a significant technology standard has prompted several myths: that XML is only for Internet applications; it only applies to B2B; and that it's just another computer language.

In this presentation, Evan Levy will debunk the myths surrounding XML and explain its various uses in data management. He will define XML and explain how commercial companies are using it to establish data standards, as well as how companies are leveraging XML technology to improve metadata, data transformation, and integration practices. He will walk through actual case studies in which XML has delivered significant data administration improvements.

Evan Levy is EVP and co-founder of Baseline Consulting Group, a specialty firm delivering management consulting and technology implementation services in the areas of data warehousing, business intelligence, and Customer Relationship Management. Baseline’s clients range across industries and geographies, and include hallmarks such as Boeing, Toyota, Verizon, and state and federal government agencies. Evan has spent his career leading both practitioners and executives at companies around the globe in delivering a range of IT solutions, from software product development to industry-focused strategic consulting engagements to entrepreneurial leadership sessions. In addition to running Baseline’s largest practice, he oversees high-profile system integration projects for key clients. Evan has spoken about his range of customer delivery experiences at key industry and technology conferences, including DCI’s Data Warehousing Conference, the MkIS User Forum, The Data Warehousing Institute, and for vendors such as Compaq, Oracle, IBM, and Teradata. He spends much of his time advising software vendors in the areas of product planning and functional design and continues to counsel major companies in the use of applying advanced technologies to key business initiatives.Mr. Levy graduated with degrees in Electrical Engineering and Computer Science from Duke University. He serves as a Mentor for the YMCA, where he sponsors high school youth to attend the organization’s Leadership Conference each summer in the Blue Ridge Mountains.

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Essential Database Design Patterns

Joe Oates
BI Chief Architect
Sybase, Inc.

Most organizations are interested in developing software more quickly, with higher quality, with reduced total ownership costs. Probably the best solution is to use database design problems. The reason for this statement is that it is much less expensive and time consuming, as well as having much less impact to critical business systems, to redesign and re-implement a block of code than it is to redesign your database structure. A database design pattern is a solution to a problem that occurs routinely. A really good pattern will work for all cases all the time.

This presentation discusses a small number of design patterns that can have an enormous positive impact on schedules and costs. Additionally, it shows the only practical way to have a “single view” of a customer for an enterprise.

Joe Oates is an internationally known speaker, author and consultant on data warehousing with more than 30 years experience in successful management and technical development of business, real-time and data warehouse applications. He’s designed or helped design and implement more than 30 successful data warehouse projects in North America, South America, Europe and Asia/Pacific. Joe is the Chief Architect for Sybase BI Division and is the primary designer of the Sybase Industry Warehouse Studio, installed all over the world. He served as Director of Data Warehousing for General Motors Corporation. He is featured each month on DMReview.com “Ask the Experts”.

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Data Ownership, Governance and Stewardship in a Multinational Company
One size does not fit all

Larry Dziedzic
Senior Information Management Architect
Johnson & Johnson

Ron Lemezis
Senior Information Architect
Johnson & Johnson

This session will look at the variety of ways that stewardship; ownership and governance exist in a multinational environment. It will also focus on the processes and methods that are:

It will speak to what has or hasn’t worked and some of the reasons why a formal process has been difficult to develop or implement. It will look at the activities that already are underway and how they are progressing. It will review the procedures, templates and tools in place to capture and present information. Finally, we will talk about current and future methods of publishing and updating all the information captured.

Larry Dziedzic: As Senior Information Management Architect for Johnson & Johnson, Larry is responsible for supporting global data standardization, as well as consulting on process and modeling standards for the worldwide Consumer group. This includes supporting data standardization of global ERP applications, defining data stewardship functions and interfacing with the worldwide Pharmaceutical and Medical Devices and Diagnostic groups. Larry is a Past President of Data Management Association (DAMA) in New Jersey USA, and is VP of Operations for DAMA International. Larry has presented papers at both DAMA International and DAMA US events, and also at the Enterprise Data Management Conference in Sydney, Australia. A former adjunct college instructor, Larry often guest lectures to information systems classes at the university level.

Ron Lemezis is a Senior Information Architect at Johnson & Johnson in the Information Management Data Architecture (IMDA) group. He has spent over 22 years working at J&J and its affiliates having held positions in programming, systems analysis, security, database administration, data administration, system development methodology and Information Architecture. For the last six years, Ron has been working at the J&J World-wide Headquarters in New Brunswick, New Jersey focusing on enterprise, regional, and franchise data standards in support of the Medical Devices and Diagnostics (MD&D) Group Operating Companies.

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Metamodels for ER, ORM and UML: a Critical Review

Terry Halpin
VP, Conceptual Modeling
North Face Learning, Inc.

This presentation critically reviews metamodels for four popular data modeling notations: Information Engineering Entity Relationship diagrams; Barker Entity Relationship diagrams; Object Role Modeling conceptual schema diagrams; and Unified Modeling Language class diagrams. Each of these notations is used in industry to specify database models at a high level. In addition to clarifying the fundamental commonalities and differences between these approaches, the metamodel analysis highlights the pros and cons of each methodology, and discusses practical issues that arise in using these notations to capture business rules (e.g. benefits of constraints on derived associations, and the impact of orthogonality on language transparency).

The presentation provides practical guidance for understanding and utilizing:

Dr. Terry Halpin, BSc, DipEd, BA, MLitStud, PhD, is Vice President, Conceptual Modeling, at North Face Learning Inc. After many years in academia, he worked on data modeling technology at Asymetrix Corporation, InfoModelers Inc., Visio Corporation, and Microsoft Corporation, before returning to academia to develop data models and curricula to facilitate application development using a business rules approach to informatics. His research focuses on conceptual modeling and conceptual query technology. His doctoral thesis formalized Object-Role Modeling (ORM/NIAM), and his publications include over 100 technical papers, and four books, including Information Modeling and Relational Databases (2001: Morgan Kaufmann).

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Knowing our Customers: Initiating Customer Rule Management at AT&T

Frank Cunningham
District Manager - Customer Data Integrity
AT&T - Consumer

Understanding the importance of providing consistent and complete end-to-end servicing of each and every customer, and high quality, integrated customer information for marketing and analysis purposes, AT&T Consumer Services formed a Customer Data Integrity Division to facilitate the integration and sharing of high quality data and business rules with regard to customers, across the entire "Learn, Buy, Get, Use, Pay, and Service" life cycle of the customer. The challenge was to collect, synthesize and make available for key new projects, not just consistent data but also the business rules, to expedite the analysis process and to ensure consistent implementation and maintenance of these rules across the customer life cycle.

This involved the definition and incrementally planned implementation of a rules management repository and process at the corporate level, across applications. This presentation will share an overview of how the project originated and was executed, and the successes and lessons learned that AT&T Consumer Services gathered in the process.

Frank Cunningham has over 20 years experience in IT, specifically in telecommunications. During much of that time, he has been responsible for management of data requirements and customer data strategy. Over the past four years, he has introduced the concept of business rules and facilitated establishment and maintenance processes across the various Long Distance and Local business functions.

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Meta-Data: It’s Not Just About Data Anymore

Robert Seiner
Publisher, TDAN.com
Principal, KIK Consulting

Meta-Data is commonly referred to as “data about data”. This is true but this doesn’t tell … “the rest of the story”. Meta-data has become the backbone of the management of all corporate information assets. Mr. Seiner will begin the presentation by introducing a practitioner’s view of a data management meta-model that has demonstrated success at several companies and will evolve and expand the meta-model during the course of the presentation to include specific meta-data that relates to business intelligence, stewardship and governance, content management, and knowledge management.

Attendees can expect to be challenged to expand their meta-data scope beyond the walls of data management and engage their management in discussions on how meta-data can provide the basis for management of all information assets. Attendees will participate in the development of an expanded view of meta-data that solidifies the data manager’s role and visibility in activities that are vital to their company’s success.

Robert (Bob) S. Seiner is the owner and principal of KIK Consulting Services. Mr. Seiner is recognized in the IT industry for his depth of knowledge and involvement in the field of business intelligence, knowledge/content management, stewardship & governance, metadata management, data warehousing and data management. Mr. Seiner is the publisher of an internationally recognized internet publication focused on the management of knowledge, information and data as valued corporate assets. The Data Administration Newsletter (TDAN.com) attracts close to forty thousand visitors every month, and is a reputable and non-biased on-line source for information about the knowledge management and data management industries.

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Business Intelligence: From Theory to Reality

Shaku Atre
President
Atre Group

BI is neither a product nor a system. Instead, it is an architecture and a collection of integrated operational systems. Prior to the world of BI it was thought that all processing should occur in a single database. But the result of the single database approach was a spider’s web of applications. The spider’s web of applications had many deficiencies – no integration of data, no historical data, data that was difficult to access. When the frustration with environment became large enough, the data warehouse concept was borne.

Data warehousing cleared the way for a whole new class of processing – BI. BI is fundamentally different from operational transaction processing. This seminar covers all the advances that have been made and the opportunities presented to the corporations through the advent of BI. These advances in BI allow BI to go from Theory to Reality.

Ms. Atre is president of Atre Group, Inc., Santa Cruz, CA, a Business Intelligence and a Database/Data Warehousing Corporation. She is also president of a leading consulting, training and publishing company, Atre Associates, Inc. based in New York, NY. Before heading her present companies, Ms. Atre was a partner with Price Waterhouse Coopers. She also has fourteen years of experience in different fields with IBM and has held a wide variety of management and staff positions within IBM. Ms. Atre is an internationally renowned expert and she lectures in the business intelligence, data warehousing, data mining, client/server computing, end-user computing, and database fields. She has extensive practical experience in database projects, has helped a number of clients in establishing successful data warehousing , client/server installations, and has taught at IBM’s prestigious Systems Research Institute. She has lectured on the subject to professional organizations in the USA, Canada as well as in Europe, Asia, South America, and Australia. She has taught graduate level courses at New York University, and Iona College. Ms. Atre is frequently quoted in Computerworld, Information Week, eWeek and other influential computer trade publications. She is a syndicated columnist for a number of computer related webzines. She conducts Web-based Chat sessions with www.searchdatabase.com on a regular basis. She has written an award-winning outstanding book on database management systems that has become a classic on the subject: Data Base: Structured Techniques for Design, Performance and Management, published by John Wiley and Sons, New York. The book has sold over 150,000 copies (with its Spanish and Russian translations) and has been selected by several book clubs and leading universities including Harvard, Columbia, Cornell, MIT, New York University, Stanford and U.C. Berkeley. Her book, Information Center: Strategies and Case Studies is also very well received by the industry. Data Base Management Systems is another successful book authored by Shaku Atre. Distributed Databases, Cooperative Processing, & Networking was published by McGraw-Hill. Her book Atre’s Road Map for Data Warehouse/Data Mart Implementation was published by InfoEdge/Gartner Group. She is co-authoring a book on “Business Intelligence Roadmap: The Complete Project Lifecycle for Decision Support Applications” to be published in February , 2003 by Addison Wesley. Her articles are available on the web at www.atre.com.Shaku Atre has a master’s degree in Statistics from University of Poona,India Summa Cum Laude and has done research at the University of Heidelberg, West Germany in Applied Mathematics.

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PANEL: New Approaches to Customer Data Integration

Ulka Rodgers (Moderator)
eTransitions, Inc.

Chandos Quill
Vice President, Strategic Marketing
Experian

Jeff Canter
Vice President of Operations
Innovative Systems, Inc.

Customer data integration is one of the top priorities of marketing and sales organizations today. In this session we examine two different approaches from two leaders in the field.

Referenced-Based Integration
Integrating customer data is, by nature, a reference process. Knowing whether data is accurate or not requires a picture of reality to which data cleansers and integrators can compare records. This presentation details new reference-based data integration methods to achieve dramatically better results - methods that go beyond mere matching formulas to compare customer data to historical customer reference repositories.

Data Synchronization
Data integration projects are complex and challenging. Customer data integration projects are even more complex and challenging because they usually support multiple business units, each with different requirements for defining "customer." The departments’ competing definitions and different business objectives often undermine the success of the traditional customer data integration project. Data Synchronization provides a new approach to customer data integration. Jeff Canter will identify and explain the critical success factors for creating a sharable, enterprise customer profile that can easily be segmented into "purpose-driven" views to support the different requirements of departments and applications across the enterprise.

Chandos Quill is vice president, strategic marketing for Experian Database Solutions. Chandos is responsible for high-level strategy pertaining to product development, product management and the marketing of client solutions that include customer data integration, business intelligence and hosted database management. Prior to joining Experian, Chandos was responsible for product management of Toshiba’s business-to-business notebook computer line where she launched an industry leading build-to-order notebook computer.

R. Jeffrey Canter is executive vice president of operations at Innovative Systems, Inc. In this capacity, Canter oversees research and development, client service, product maintenance and support. Over the course of his 13-year career with Innovative, Canter has applied his business and technical expertise to the successful development of customer information projects for clients in a variety of industries. Prior to his current position, he served as senior consultant and director of R&D for the company. Canter is a frequent speaker on the technology challenges and business benefits associated with data management, data quality, data integration and customer relationship management. Canter regularly contributes articles on these topics to technology publications, such as DB2, The Journal of Data Warehousing, CRM Magazine, and others.

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XML Tools Explained and Demonstrated

 

One of the requests we received from the attendees of last year's conference was that they would like to see some XML tool demonstrations, so as to better understand the functionality and maturity of the toolsets on the market. This session brings together three of the leading XML vendors -- Software AG, Nimble Technology and Ipedo -- to show three different XML tools for data management. The product categories are database management systems, query tools and integration tools.

Each vendor will explain the functionality of a tool from one category, and demonstrate their implementation. Ample time has been allocated for questions, and because of the panel format you will have the opportunity to quiz the vendors on how their approaches differ from each other.

Product categories which will be presented and discussed will be:
- XML Servers
- Enterprise Information Integration (EII) tools
- Information Hubs

Please note: Wilshire Conferences and DAMA are vendor-neutral, and do not endorse these or any other products. Produt demonstrations are included in this session for educational purposes and to demonstrate general tool functionality, and not to advertise or promote the sale of products or services.

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Get "Focused" Before Data Modeling

Steve Farrell
Senior Business Analyst
Advanced Strategies, Inc.

Everyone knows that "scope" plays a huge factor in a data modeling effort. However scope is just one of several related constraining factors that are crucial for success. Together they add up to a total "focus" statement that will provide guidance to the modeling effort. These factors include:

If these focus questions are not answered at the start of a modeling effort, a tremendous amount of time and energy can be wasted. Unfortunately, this is all too common. Attendees will get a practical, easy to use, template that has been developed and tested in over 15 years of data modeling projects.

Steve Farrell has been developing business object/data models for almost 20 years, and is the master data analyst for Advanced Strategies, Inc. He has developed conceptual data models in most major industries and governmental agencies. He's a pretty good speaker too!

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Enhancing Information Quality Management Practices at HUD

Andres Perez
Consultant
IRM Consulting, Ltd. Co.

HUD is taking a new approach to increase the effectiveness of its Information Quality Function. HUD realized that one of their most important assets is the information they use to apply their funds to help their communities. The nonquality of this information has caused severe issues to their operation due to the stove-piped, industrial-age approach used by the Department in acquiring, maintaining, storing and applying information, calling for fundamental change. This change requires a new paradigm; one that is best suited for the information-age. TIQM™ offers such approach. Most government and state organizations are arriving to similar conclusions. This session presents lessons learned in achieving this new level of Information Quality.

There is new excitement in the implementation of the approach that will:

Andres Perez is an Advanced Practices Consultant with Information Impact International, specializing in information resource management and data architecture, information quality management, data repository and meta data management, requirements management, and data modeling. He has applied TIQM™ information quality principles to help clients with information management, data architecture and data warehouse, management processes, and technical architectural direction. He conceived and implemented an information stewardship program called “Data Certification.” Andres is a regular speaker at DAMA International, Information Quality, ZIFA, IAA Customer Conferences in the US and Europe and DAMA Chapter Conferences. Andres provides consulting in methodologies and tools in the disciplines of Information Quality Management (TIQM™), Data Warehouse, Business Intelligence, and Customer Relationship Management.

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Master Reference Data: A Real-Time Data Architecture for Today's Enterprise

Martin Dunn
CEO
Delos Technology

Master Reference Data (MRD) categorizes data within a database and relates that data to the real-world beyond the boundaries of the enterprise. MRD spans complex, volatile data, spread such as customer, product and supplier to relatively static data like state or currency tables that is spread across multiple and disparate data sources within an organization. There are five key properties of MRD that define both the challenge and the scope of managing this information. Many of the shortcomings of today's CRM, DataWarehouse and Enterprise Integration Projects are directly linked to ineffective management of MRD.

This session will use real-world examples to:

Martin Dunn brings 15 years of DataWarehouse, OLAP and Repository experience to his role as CEO & Co-Founder of Delos. Martin spearheaded the creation of the distribution business for Platinum Technology, helping to establish Platinum as a leading software supplier. As regional manager for their professional services group, Martin established the Information Delivery Division, focusing on DataWarehouse, repository and decision support solutions for FT100 companies. Prior to 1992, Martin worked in the United Kingdom as a database consultant to FT100 companies. As a regular guest speaker at business conferences, Martin has also lectured for the largest MBA program in South Africa

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Enterprise Information Management:
A Solutions Approach for Blockbuster Video And JPMorganChase

Marc Abramson
Senior Meta-Data Architect
JP Morgan Chase

The key to any organizations success is the ability to understand its customer’s needs. The core of this understanding is the collection of information that identifies customer’s behaviors and habits. The way this information is collected and interpreted is central to making the enterprise successful in all future endeavors. Whether you are a video rental giant or a massive financial institution, the challenges are quite similar. How do we manage enterprise data and transform it into meaningful information for making sound business decisions? The answer to this question is one that involves an integrated approach. It involves understanding the full scope of data capture, storage, management and presentation. With a hands on approach, Mark will outline some of the challenges facing these two industry giants and some of the solutions used to address these challenges. We will see the contrast of how a video giant attacks enterprise information management with its 8000 stores worldwide and more than 5 terabytes of enterprise data, collectively. Mark will uncover some of the details encountered while building the architecture for the video giants CRM solution and enterprise data warehouse. The discussion will illuminate some of the best practices followed during this project and how the enterprise team used industry standard tools to achieve its objectives. The information management effort will focus on understanding the enterprise data and a realization that meta data management is of paramount importance when developing a solution of this magnitude. By contrast, Mark will also highlight some of the same challenges facing the financial giant JPMorganChase. The focus will be on demonstrating a best practices approach and a solution that is industry standard. The solutions approach identified here again, underscores, the implicit need for a sound meta data management strategy and solution. The meta data strategy and solution identified for this industry giant is quite similar to other industries. It is defined by a common thread of knowledge, which is being captured and displayed in the meta data repository.

Marc Abramson: As a developer and later IT Director specializing in application development and decision support project management over the past 15 years, Marc Abramson has extensive experience in IT project management, strategic enterprise application planning, and emerging technologies such as XML, Web-services, meta data management and Java. Currently as Director of Decision Support Engineering for Blockbuster Video, Mark is the chief architect for Blockbuster’s global meta data management strategy for their enterprise data warehouse and CRM systems.

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Business Performance Management: The Future of Analytics?

Seth Grimes
President & Principal Consultant
Alta Plana Corporation

In a maturing Business Intelligence market, leading vendors have set their sights on a new target, Business Performance Management. Some are claiming to meet major BPM analytical needs -- definition and evaluation of key performance indicators and creation of "actionable," business strategies -- through application of popular methodologies like Six-Sigma and Balanced Scorecard and via dashboard-style interfaces. Others have focused additionally on creating new, process- and activity-based enterprise views.

The presentation will analyze BPM definitions and approaches to discern if and where BPM analytics go beyond a mere repackaging of BI tools. Is it really possible to build "closed-loop," strategic analytical systems, or have the marketers created a new product category with little new substance? What value do process- and activity-based models add? And is there still life in traditional BI approaches? Answers to these questions will help attendees develop viable BPM analytics strategies for their organizations.

Seth Grimes is Founder and President of Alta Plana Corporation, a consultancy specializing in large-scale analytical computing systems, and is a Contributing Editor and decision-support columnist of CMP's Intelligent Enterprise magazine. Mr. Grimes is expert in management and analysis of demographic, economic, and financial statistics and in information systems architectures, design, and development. He has built databases and Internet systems for leading governmental and private organizations. Mr. Grimes has created technology strategies and analyses covering application of analytical tools in customer relationship management (CRM), marketing automation, supply-chain management, time-series management & analysis, and Web data dissemination.

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XML Data Architecture – A Introductory Roadmap for Establishing an XML Data Architecture

Brian Magick
XML Data Architect
Hewlett Packard

Adoption of XML in the Data community has been slow as the number of XML technologies, specifications, and standards are common sources of confusion. Little has been written to offer Data Management professionals a roadmap suggesting actions and steps to incorporate XML standards and architecture into established Data Management practices. The Data Management community is in need of a practical guide to “jump-start” support of an XML Data Architecture program within their organizations. This presentation aims to focus Data Management professionals on the aspects of XML that will help move XML adoption in the right direction, focusing on the data.

Attendees will learn some basics of XML such as its purpose and design goals, and will learn about a few XML myths that are simply not true. XML Schema and DTD, the core of an XML Data Architecture will be defined with limitations of the DTD communicated and the concepts of well-formed versus valid XML presented. The concept of “what is an XML Data Architecture” will be presented and a common XML validation framework will be stepped through. A further in-depth look at the XML Schema will be presented suggesting that the Schema is a data model, contract, and a data dictionary. Guidelines for the data practitioner suggesting the steps they should take to incorporate XML into their data management practices/enterprise architecture will be given and core components of the XML Data Architecture such as standards, repositories, and training initiatives will be explained. Time permitting, XML databases and other XML data related technologies will be looked at.

Brian Magick serves HP as the Enterprise XML Data Architect. New to XML upon his arrival at then Compaq Computer Corp, Brian studied and researched XML with a data architecture focus and within six months had instituted the XML Data Architecture sub-domain of Compaq’s Enterprise Architecture. Brian has represented HP by presenting XML Data Architecture concepts to DAMA and plans other speaking engagements in the future. In addition to his enterprise architecture, data architecture, and xml work, Brian serves as a web developer both at work and in his spare time, having launched a successful e-commerce sports site.

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Raising the Quality Bar in Database Administration

April Reeve
Data Architect
Wyeth Consumer Healthcare

How does a database administration manager implement a controlled DBA function for a new or, even harder, less controlled organization? For a new organization the problem is easier, because we can deal with the issues in a life cycle order, starting with development or software assessment. For development we can use ideas from software process improvement methodologies plus deal with particular issues for database administration and, of course, deal with issues concerning packaged software implementation and development tool metadata. For an existing organization we frequently first have to deal with a chaotic and stressful production situation.

Raising the maturity level, or service quality, or control levels of an organization is not achieved overnight. It is not an activity that can be done in isolation but requires the involvement of the application development teams, the data center and server support staff, and sometimes even the end users. It will not happen without a sustained effort to make it so. Yet, leaving a database administration capability uncontrolled will only result in miserable DBAs, unhappy developers, and untrusting users.

April Reeve has spent most of her information technology career alternating between application/data architecture assignments and new technology implementation project management. Currently she manages the Data Architecture for Wyeth Consumer Healthcare, a division of a pharmaceutical firm. Her responsibilities include database administration, data modeling, and strategic planning for data in the organization.

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Data Modeling Panel: "Have Things Really Changed?"

Davida Berger (moderator)	Scott Ambler	Terry Halpin
Len Silverston	Dave Hay	Graham Witt	Terry Quatrani

In many organizations, the role of the traditional data modeler has changed..Data modelers have been required to learn more skills and in some organizations take on new roles. This panel of modeling experts will address the changes in the role of today's data modeler and provide advice to help today's data modeler adjust to this change.