|
Aligning
Data Strategy With Business Strategy |
|
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 |
|
Tuesday,
May 24 Enterprise Architecture, Service Oriented Architecture & Knowledge Management at Motorola Joe Danielewicz This session is for managers and architects involved
in enterprise architecture and strategy planning. Topics covered
are: Speaker Biography Joe Danielewicz is a past president of the Phoenix Chapter of DAMA, and served as VP of Communications for DAMA International in 1993. Mr. Danielewicz received his BA degree in philosophy from Northeastern Illinois University. Joe Danielewicz is an adjunct instructor at Mesa Community College teaching relational data modeling and database design. Data Governance in Action: Cases from the Insurance and Securities Industries Barbara Nichols Data governance is not a technical principle. It has no snazzy interface, runs on no software platform, and isn’t based on mathematical principles. Yet the establishment of effective data governance is an indispensable part of data management particularly for those organizations that are in the midst of transformation. Rarely does a company take on Data Stewardship or Data Governance head-on. This presentation will describe the processes at three companies that led to its organizational realization and implementation. Attendees will learn the following from the experiences of the three business cases: - Why did the “new and improved” application system
require more business people to do the work? The presentation is based on real-life experiences at two insurance companies and a securities trading firm. It shows that that there's more than one way to start or accomplish the objectives of the data management program, and that all roads eventually lead to the function of data governance in the enterprise. Speaker Biography Ms. Nichols founded Metaview360 after a successful, 25-year career in developing innovative data and meta data solutions. She has specialized experience in meta data modeling and management with a focus on integration in repository-based environments. She has assisted dozens of international businesses to implement 'best practice' data management through her consulting in the areas of data integration, data warehousing, meta data management, and information systems architecture. Data Quality and Enterprise Application Integration (EAI) Alex Kerezy As many organizations are undertaking Enterprise
Application Integration (EAI) efforts, it is important to understand
how data quality is an essential part of this latest trend. Many
software vendors in this space offer technology solutions that don't
require you to understand or manage the underlying data. This presentation
covers: EAI endeavors present the perfect opportunity to establish or build on your organization's data quality efforts, and this presentation will show you how. Many organizations are currently undertaking Enterprise Application Integration (EAI) efforts because this architectual approach allows organizatins to keep their existing legacy systems. Looking at EAI from a data quality perspective brings a fresh view to this trend. Speaker Biography Strategic and Tactical Issues in Metadata Management Ian Rowlands Alan Perkins Early adopters of enterprise metadata management have taken that competitive advantage by developing experience, trained professionals, and an information asset base. Many major enterprises have invested large amounts of money in metadata management projects and reaped significant benefits. Many others have invested similar – or even greater – amounts, and reaped no benefit whatsoever. We argue that the difference is not, necessarily, to be found either in the choice of technologies or in the technical competence of those charged with implementation. What makes the difference is the presence, or absence, of a governance structure for metadata initiatives and the presence, or absence, of a proper separation of strategic and tactical issues. In this session we outline an appropriate governance structure and delineate some strategic and tactical issues. Attendees will learn about:
Mr. Perkins has over thirty years of business and information management experience - Systems Analyst on the White House staff, Director of the US Army Data Processing School in Germany, Vice President of Research and Development for a virtual corporation, and General Manager of a high-tech consulting firm. Data Semantics and Data Ontologies in a Data Warehouse or Enterprise Information Integration Project Robert Klopp This fast-paced session will introduce the concept
of “data ontology” in several contexts: for the development of a
data warehouse, a data mart, and for emerging discipline of Enterprise
Information Integration (EII). The session will include: Speaker Biography He is currently at work adapting data warehouse integration methodologies to the development of federated databases, Enterprise Information Integration or EII in the vernacular in vogue, and applying the new buzz in metadata, called a data ontology, to the data integration engineering process. Can We Share? Loretta Mahon Smith Information in most companies is fragmented, managed
separately as physical media, virtual documents, digital files,
institutional knowledge and structured data. This presentation is
an attempt to provide the reference that will help us understand
each other’s practice, and promote a conversation results in a more
mature, coherent and useful environment. For each discipline, the
presentation will include: Speaker Biography Bridging the Gap Between Technology and Business Jeff Tash How can IT establish leadership and trust? Begin by simplifying how IT communicates, explains, and visualizes the enterprise's technology portfolio to the diverse constituency of people who use, develop, operate, manage, evaluate, or purchase technology offerings. Next, measure how well your portfolio conforms to the enterprise's IT standards as prescribed by its technology architecture. Last, do not allow others on business side to simply tell IT, “Technology is your problem. Go figure it out.” There must be a balance in the relationship between IT and business. This presentation describes a three-step best practice for bridging the gap between technology and business:
Jeff Tash is the creator of the ITscout series of roadmap wall posters that describe IT Infrastructure, Application Development, COTS Applications, and Business Intelligence. His personal web site www.ITscout.org provides free access to interactive versions of the posters. Jeff Tash is CEO of Flashmap Systems. Over the past 30 years, he has served as president of Hewitt Technologies and held various positions within DEC, IBM, CDC and Arthur Young. Tuesday, May 24 Improve Your Bottom Line – Increase Your Modeling Return on Investment Marcie Barkin Goodwin We reinvent the wheel with every new model, rarely
capitalizing on the previous analysis and work that has been contributed
on large and small-scale projects alike. There is, however, such
an enormous monetary advantage to reusing model objects, that it’s
amazing that reusability has not become a priority in most organizations
as a part of the modeling infrastructure. This presentation will
provide the whys and how-tos of increasing your modeling ROI. By
walking through a ‘model case study’, and discussing the associated
costs of not establishing a model management strategy, the example
serves to prove that reuse is the key to realizing significant savings
potential. This presentation was given at CAWorld and received a terrific reception. The general comment was that it was the only presentation that quantified the actual amount of money organizations could save by putting an infrastructure in place. "This is the presentation my manager should hear!" Speaker Biography Credibility is Critical. How Intel transitioned to a managed enterprise metadata environment. Bill Pawlowski Jacque Gibson Intel implemented a metadata repository to support application development. For certain groups within Intel this repository was successful. However, many users discovered that much of the metadata was not reliable. Consequently, the chief data architect formed a metadata program within Intel that adheres to Intel’s formal Program LifeCycle. The initial metadata program focused on a clearly defined scope and engaged applicable stakeholders. The team acknowledged that metadata cannot be credible without standard deliverables and repeatable processes, and a metadata program will not succeed without management support. Once the stakeholders committed to these processes Intel’s metadata began to gain enterprise credibility. The enterprise repository is now a critical component of Intel’s enterprise architecture effort. This session answers the following questions: - How did we determine the appropriate standard
deliverables?
The Buy Solution Secret : The Critical Role of Data Architecture and Administration in Implementing Application Packages April Reeve Implementing a purchased package effectively
is about getting the software integrated with the rest of your environment
on multiple levels including data management, security management,
and technology management. What makes a packaged implementation
more difficult than in-house development for the data organizations
is the lack of time to understand how the package works and how
that can be implemented and integrated into your environment. This
presentation will discuss key data issues that must be resolved
and the role of the data organization including: Speaker Biography As a VP Information Systems for Citibank Private Bank, Ms. Reeve managed the design, development, and implementation of a worldwide Data Warehouse for Finance. She managed the implementation of a global Data Warehouse for Merrill Lynch and a Sales and Marketing Data Warehouse for Wyeth Consumer Healthcare. She worked on design, conversion, and implementation of securities transaction processing systems while an employee of a software solution vendor. Ms. Reeve has spent many years architecting the global application and data strategies for the organizations for which she has worked. Ms. Reeve holds a BA in Mathematics and English from Colgate University. Is XML Still Relevant to Data Professionals? David Plotkin Languages based on the XML standard have continued to mature, and XML has gained widespread acceptance as a way to create data-containing messages. But since building messages tends to be the domain of the programmer, is XML still relevant to the Data Professional? This presentation discusses how, with increasing use of XML, the relevance of XML to the Data Professional has increased. You will learn:
Speaker Biography The Zachman Framework, Model Driven Architecture and Meta data: Tying the Enterprise together for reuse Lowell Fryman The Zachman Framework has long been an approach
for identifying all of the specific architectures and models that
an organization should explicitly create. More recently the Object
Management Group’s Model Driven Architecture (MDA) has been defined
as an approach to creating models and generating code from those
models. The MDA is slightly different from Zachman. The MDA may
be focused more to facilitate the definition and transition of models
to code for one implementation to another across the enterprise.
Each of these architectural guidelines has significant, yet different,
requirements for the capture and dissemination of meta data to facilitate
the goals of reuse across the enterprise. This presentation will
address: Speaker Biography MetLife's Experience with Semantics (and the ACORD Messaging Standard) Mary Lee Miller Insurance carriers are increasingly required to transform assorted data assets into understandable business information. One of the ways MetLife is answering this challenge is by applying semantic technologies such as ontological models. Semantics are of particular importance in the insurance sector, where ontologies based on ACORD standard models and schemas are increasingly being used. Moreover, insurance is a data-heavy industry in which numerous carriers have grown through acquisition of smaller carriers, thereby also acquiring dozens of additional data schemas mixing legacy and modern technologies. This state of affairs requires a more agile environment supported by a semantic integration approach that accelerates the adoption of standards (such as ACORD), and increases IT efficiency. This presentation will be presented by a MetLife Enterprise Architect with hands-on experience in semantic integration and analysis. As a result, this presentation will benefit audience members interested in data integration issues and semantics, as well as any professionals with experience or interest in joining the insurance sector. Finally, audience members focused on gaining exposure to new methodologies and technologies will enjoy participating in this presentation. Speaker Biography Telling IT Like it is: Assessing and Aligning the Data Management Portfolio Doug Laney With hundreds or thousands of IT solutions in their portfolio, enterprises are tasked unwittingly with innumerable IT decisions throughout the year: When to upgrade each product? When to replace each product? Which vendors and consultants to consider? How to best implement each product? In this session, Mr. Laney will share current findings and insights from Evalubase Research’s continuous analysis of IT vendor/solution ratings and reviews based exclusively on feedback from actual IT professionals, not analysts. Attendees will be treated to information and ideas that include:
Unlike the anecdotal research from analyst firms, we have launched the first objective market intelligence service for the IT market. Evalubase accepts only input from actual technology users and does not participate in the "pay-for-play" research model of analyst firms. Our research is also more timely and we will be presenting up-to-the-minute findings. Speaker Biography Tuesday, May 24
1:45 pm – 2:45 pm Turning Reference Data Sideways Ted Kowalski What would you say to the proposition that all
of your reference data can be stored in about ten tables? Imagine
the flexibility and maintainability. The speaker offers a process
and design that puts all of your reference data in a repository
that is both simple and yet powerful. Company, Products and Customer
references can span across multiple countries, cultures, and measures.
A generic or common value can be related to various location-specific
implementations (Do all countries hold the same meaning for “station
wagon”?) Learn how a simpler data structure can enhance managing
reference data and enforcing standards. This design, where the structure
IS the metadata, opens you even to identifying your information
enablers and disablers. This can be the beginning of integrating
all of your reference data from legacy or SAP systems into a centralized
repository and thus reacting to change more quickly. Speaker Biography The Road to Building an Enterprise Data Model Candace McCabe What’s the first thing that a new developer asks when starting a new project? Often it’s “Where’s the data dictionary?” or “Where’s the model?” Unless working on a large-scale, new-development effort, there either is no model or dictionary or what does exist may be far from complete. How do you take a decade-old legacy system with little documentation and build a model complete with definitions? What value does the newly created legacy enterprise model have in a new development environment with third-party packages, off-shore development, and multiple platforms, in a web-enabled, B-B world? How do you sell the value of the model and the required investment? And finally, how do you distribute it? This presentation addresses the approach taken to build an Enterprise Data Model for JB Hunt Transport, Inc. It details the multi-year plan to build a complete definition of existing transactional data structures from the ground up. The presentation includes: When JB Hunt first mandated that the IS Model Team develop and publish an Enterprise Model, a massive research effort was undertaken to find others who had undertaken and/ or completed a similar model. What the team found was that there was little, if any, help on how to approach the project or even what should be produced as deliverables. Based on subsequent interactions with other modelers undertaking similar projects, there is still a need for a discussion on how to achieve the goal of a fully developed model including identifying the relationships, keys, denormalization rules, integrity issues, etc for every column, on every table, in large-scale legacy systems. Speaker Biography Use the process! How Entity Life cycles can help define the data. Dagna Gaythorpe Faced with a group of users, a blank whiteboard, and the need to produce a model - where do you start? The approach described here involves starting with the question "What happens to <insert name here> from the time we first encounter one?", recording the life cycle, and then asking what data is needed, created, updated and so on at each stage. This gives the users a familiar framework, and helps to minimize the risk of missing some small but significant thing. The eventual list of attributes can then be used to develop a truly business-focused data model. Speaker Biography Metadata Management 2005 - an interactive discussion of the latest metadata usage trends, corporate issues, and vendor software solutions Stu Carty This presentation will draw from a rich bounty
of actual research data that was collected from web-based user surveys,
customer telephone interviews, and metadata vendor RFIs. The presentation
will discuss: Speaker Biography Make Your Metadata Repository the Center of Your Company's Data Regulatory Governance Program. David Schlesinger Peggy Schlesinger Data regulations are growing and each department
in your enterprise is busy developing their own isolated, non-compatible
silo solution. From Sarbanes-Oxley to Privacy, this presentation
demonstrates why all data regulations fall into the category of
Metadata Governance, and require central management to be enforced
uniformly across the enterprise. It will explain how to approach
the solution using proven data management methods and, more importantly,
why it is essential to turn your metadata repository into the active
center of your data regulatory governance program. It also will
suggest strategic partnerships necessary to gain support for Metadata
Governance as an ongoing element of a modern enterprise. This presentation
will: A rising tide of data specific regulations are sweeping the world. Sarbanes-Oxley is one of the best known, but they include Insider SEC regulations, Privacy regulations un the US and EU, HIPAA, GAAP, CISAA, Homeland Security Act, USA Patriot Act, Graham-Leach-Bliley, FISMA, and others arriving monthly. Speaker Biography David Schlesinger is Intel's RBAC Data Policy Architect and developed a metadata driven governance automation process that is used at Intel Corporation. He has 18 years experience in technology communications, Information Systems quality methodology, and security management. Along with a CISSP certification in information system security, he has a Masters in Organizational Management, is a member of DAMA, and President of the Phoenix Chapter of the Information Systems Security Association (ISSA). Peggy Schlesinger is David's spouse, is the smarter one of the pair, and has 20 years experience in data management, a Master's in Business with an MIS concentration, and also works for Intel Corporation. She has published several papers presented at technical conferences, and brings an appreciation of the practical aspects of making this Metadata Governance process automaion work for your company. Beyond Metadata: The Low-Down on Ontologies in Words You Can Understand Neil Raden Ontologies have migrated from an interesting idea to a brand new way to do your job. There is no question that writing a good ontology will require more domain-specific knowledge than you probably have, but that's a good thing for you because it strengthens the link between your work and the business at large. Starting out as a mysterious term and a poorly understood concept, ontologies have moved into the mainstream with organizations like IBM, CA and Sun developing standards for ontologies. The following questions will be answered: - What is a good ontology? Speaker Biography PANEL: Guess Who's Next! Michael Brackett (Moderator) There are four critical resources in any public
or private sector organization - finances, real property, the human
resource, and the data resource. Over the years the first three
of these critical resources have become more professionally and
formally managed. The data resource is the only critical resource
that has not become professionally and formally managed. This situation
is potentially disastrous because it is the data resource that provides
the real understanding about the business. If the first three critical
resources are mismanaged there are civil and criminal penalties
imposed. The time will come when there will be severe penalties
for the mismanagement of the data resource. If truth were known,
it is probably closer than most of us think. This panel of experts
will explain their views on what is needed to make data resource
management a formal and recognized discipline, and what will happen
if does not become a formal discipline. Tuesday, May 24
3:15 pm – 4:15 pm Information Modeling - we've made it work Martin Richley CBML has been developed from the experience
(not so say frustrations!) of modelers in complex business environments.
It develops accurate information structures allowing the business
to understand their information needs fully, from which robust data
structures can be built. Can CBML improve your information systems?
We think so, because CBML delivers information models that are:
user defined, accurate, accesible and implementation independent.
CBML promotes an organic approach to enterprise modeling, maintaining
business terms while fostering benefits to the enterprise. The presentation
will describe: CBML has been developed in the British Army to meet the complex information needs of the battlefield and being able to define our information needs in a robust precise manner independently of implementation issues as part of the UK MoD procurement process. CBML however, as an information modeling language, has much wider utility. It allows information to be modeled from each business area perspective and then be reconciled to form an enterprise wide coherent view of the information required by the business to do its business. It allows this information to be defined in a modular manner, allowing the entreprise information model to be built and change over time, without affecting individual business areas prespectives of their information needs. Where CBML is being used to define our information needs, industry are very excited by the prospects it offers in how they develop their information systems. Speaker Biography Compliance Panel Larry Dzeidzic, DAMA International and The plethora of compliance regulation and legislation affecting the management of corporate data grows longer almost monthly. We all know the acronyms and nicknames—SarBox, HIPAA, Basel Accord, Patriot Act, SEC Rules, DoD requirements, various state privacy acts—the list is seemingly endless. Compliance efforts are challenging on many levels, from the mere identification and collection of appropriate data, to security, sharing policies, and then the implementation of specific business processes to manage it. And as IDC said— “Regulatory compliance represents the most difficult challenge because it requires information transparency and management across functional silos.” This panel shares the perspectives of practitioners and trusted advisers on all these issues. Implementing Business Driven Information Management Practices: Organizing Information Stewardship Ron Klein Linda Mirtle BMO Financial Group (the Bank of Montreal Group of Companies) understands that information is a critical asset, and when managed appropriately, it supports the synergy provided among stewards; processes, such as joint governance for common information; consistent best practices and sustaining standards and quality are the critical success factors for managing information within a business area and across the organization. Learn how BMO is organizing the Information Stewardship across its business units to manage information assets: - Effective governance and its levels This presential is a sequel from last years BMO Financial Group presentation on Information Policy and Metadata. Speaker Biography Homeland Security Information Sharing through Metadata Management Michael Daconta To enable both horizontal and vertical information sharing with its internal and external partners, the Department of Homeland Security CIO Office has established the Metadata Center Of Excellence (MCOE). The MCOE program will provide enterprise metadata management to all organizational elements of the Department. This presentation will examine the DHS concept and vision for Information Sharing; the scope and strategy of the DHS metadata program and the initial success the department has achieved. The session will demonstrate how metadata management is the foundation of a robust information sharing program. It will also highlight challenges to achieving the vision to include competing standards, domain-specific data requirements and parochialism. Lastly, the session will examine the DHS plan to address these challenges. Speaker Biography Meta Data Models of the Managed Meta Data Environment Michael F. Jennings Many meta data projects struggle with determining the best implementation strategy for their enterprise. Budget constraints, deadlines, and lack of internal meta data implementation experience or a combination, often hinder these projects. These obstacles often lead to additional time and expenses being expended in order to manage these risk factors on the project. This presentation provides a overview of a architecture strategy, detailed meta data repository model design review, and meta data delivery examples from the Managed Meta Environment. - Description of meta data models of the MME Provides an in depth data model review of the MME meta data repository design. Speaker Biography Taxonomies, Meta-Analysis, and Ontologies Malcolm Chisholm Taxonomies provide a way of classifying data, usually within a single business domain. Meta-Analysis takes this a step further and analyses data from a different perspective. This new perspective usually requires the re-categorization of data using new taxonomies. Ontologies go beyond this and provide a completely different framework within which data is processed. They require not only new taxonomies, but also new sets of business rules. Taxonomies, meta-analysis, and ontologies are all becoming more important in information management. This presentation introduces them, and describes the common links between them. - Basic components of a taxonomy The audience will benefit from the discussion of meta-analysis and ontologies. These are terms that are increasingly being used in discussions of data management, but are not well understood by many professionals. The foundations that taxonomies represent for these concepts will be explained, together with practical advice on managing taxonomies. It is hoped that the result will be that the audience will be equipped to work in projects that involve meta-analysis and ontologies. Speaker Biography Sustaining Information Management John Ladley Information may be an asset, but it is managed terribly. Data administration as currently practiced is not a sustainable part of IT. Moreover, business executives are failing to see the benefits and risks from information management. This presents a high-risk situation to companies – information mismanagement is dangerous, but the people who can do it are rarely trained to create an on-going business oriented information management function. During this session, attendees will learn how to create a business aligned, sustainable Information Management Area. Several case studies will be reviewed to provide insight. This class does not cover meta data, tools, or technology. Rather it covers methods and techniques. Data and information architects, CIOs, and Directors will benefit the most from this presentation. Speaker Biography Wednesday, May 25 Mapping UML Class Diagrams to Relational Databases (Classes to Tables will Never Work!) Paul Dorsey Class diagrams for object-oriented application
development tend to look quite different from those diagrams designed
to generate relational database tables. Most UML pundits have attempted
to map classes directly to tables using a restricted subset of UML.
This requires independently designing the database and application
class diagrams. Instead, mapping classes to database views (or some
other higher-level construct such as an EJB or Oracle ADF entity
object) allows designers to draw a single natural class diagram
which simultaneously generates views and database tables to support
an entire project. This presentation will discuss: Speaker Biography Approaches for Implementing a Multi-Faceted Architecture Dawn Michels A successful IT organization realizes that there are many facets to architecture. This presentation is a quick tour of four favored architectures, what they cover, how they are staffed and some sample artifacts that may be used to measure that particular architectures contribution to an organization. Business architecture uncovers and understands the business requirements needed in projects, corporate initiatives and future strategies. Information or data architecture concentrates on the corporate data asset and designs needed to support the business requirements. Application architecture focuses on the tools and solutions that the business requirements and design specifications demand. Finally the Infrastructure or Technical architecture provides the underlying technical mechanism, capturing the total cost of ownership and flexibility for future demand to make it all work. There is a natural overlap between these different forms of architecture. Speaker Biography Dawn was the VP of Chapter Services for DAMA Intl 2000-2002. Prior to taking on that role, Dawn was President of DAMA MN for 3 years, and previously VP of Education for DAMA MN, 3 years. Estimating The Monetary Value Of Data Modeling Gary Flye Why do many organizations not mandate data modeling for all application development and maintenance? Why are data models often considered optional documentation? Even those of us who understand the importance of accurately representing business requirements in a data model have difficulty justifying the cost to produce and maintain the model. In a world economy driven by maximizing profits and shareholder value, any function not perceived as impacting the “bottom line” is in danger of being eliminated. It is time that data modeling is recognized as a major contributor to reducing the cost of future system maintenance. This presentation utilizes principles of Software Engineering to develop an approach for estimating the monetary value of data modeling, and applies it to sample projects at Wachovia Bank. - Typical measures of data model value This is a topic I am very interested in because it directly affects the current and future viability of my group. The presentation is based on a white paper I produced from a study of relevant concepts in Software Engineering. I am using this technique to promote the importance of data modeling within my own organization, and believe it would be likewise useful to others. Speaker Biography Data, Metadata, and ITIL Charles Betz The concept of IT Service Management (ITSM) and its flagship standard, the Information Technology Infrastructure Library (ITIL), have been sweeping global corporations in the past few years, providing a common framework for managing IT in the enterprise. How do data and metadata management relate to the larger ITIL world, such as the process areas of Incident, Problem, Change, Configuration, and Release? Metadata, in its broadest sense, can be thought
of as “data about data AND the systems that process it.” However,
when the metadata practice moves beyond the basic data dictionary
into application systems and hardware, it starts to converge with
the pivotal ITIL concept of “Configuration Management Database,”
or CMDB. What is the relationship between the CMDB and the metadata
repository? There are significant overlaps and opportunities for
synergy; in particular, ITIL’s process discipline is much needed
in the metadata community. Speaker Biography He is an active member of the professional community, belonging to the IEEE, ACM, and DAMA (Data Management Association). He has presented professionally on numerous occasions, including his views on "Object Orientation meets the Relational Database," "The OMG's Metadata Standards,” the concept of “Enteprise Resource Planning for Information Technology,” and “Metadata and IT Service Management.” Charlie is the author of the popular weblog www.erp4it.com, which receives over 1000 hits a month. Meta-data Based Impact and Lineage Analysis Across Heterogeneous Meta-Data Sources John Friedrich Many organizations have several CASE and modeling
tools, data warehouses development tools, ETL engines, BI reporting
and analysis tools, EAI environments, and EIP builders. Each contains,
uses, manages and is driven by meta-data. In such complex environments,
questions that the business user feels should be simple, such as
“why is the field in my report inaccurate”, or “how is it calculated’,
become excruciatingly difficult in practice, as one must trace the
data lineage across BI, to ETL, to Mart, to DW, to ETL, to CASE,
etc., tools. The reverse question, i.e., what is the impact of a
system or data change upon all of these related environments, is
equally difficult. The difficulty initially stems from the inability
to collect meta-data from these disparate environments in a common
representation with relationships, or data mappings, from tool to
tool captured and their lifecycle managed. This session provides
real-world examples of successful implementations of: Speaker Biography PANEL: Service Oriented Architecture -- Fran Clark (moderator) David McComb, Semantic Arts Service oriented architectures and XML messaging
are becoming firmly entrenched as standards for “data in motion”
among e-business applications and among business partners. As a
result, important data is now moving across physical networks and
across semantic boundaries instead of inside traditional data repositories.
This panel of experts will explore the following questions: Both Dave and Fran's sessions were well attended and well received at the 2004 conference in LA. There was a great deal of interest and enthusiasm in the topics and how they relate/contrast with "traditional" data modeling. Speaker Biography Recently, Clark, as VP of Technology at Swingtide, led the design and development of a software product for modeling and monitoring service oriented architectures. Today, Clark leads Arpeggio Technology, a consulting practice focused on the design and construction of “real world” applications using service oriented architectures and semantic modeling approaches. He was also appointedrecently as the SOA Practice Director for NewVantage, a prestigious consulting firm. In addition to his professional responsibilities, Clark serves on the board of the eCoast Technology Roundtable and is co-chair of the engineering committee for Portsmouth Community Radio. ACADEMIC TRACK KEYNOTE Richard Wang Winner of 2005 DAMA Academic In this presentation Dr. Wang surveys the landscape of data quality research and practice. This will include a description of the current technologies utilized by leading data quality vendors and the typical data quality issues facing today’s organizations. Then he will introduce the MIT perspective to data quality. This will include early research results, namely the Total Data Quality Management (TDQM) cycle, and the current on-going activities in data quality at MIT. Included among these will be an introduction to the data quality categories and dimensions, organizational data quality assessment, performing data integrity checks, managing information as a product, using information product maps, and designing a data quality filtering system. Speaker Biography Wednesday, May 25 Gaining Data Element Insights David Beulke Just imagine that you knew everything about
your application elements; who, what, where and when. You know all
about the data elements, their definition, use in "if"
and "move" statements, what jobs do which programs with
what files and database tables. Imagine how that knowledge would
improve your daily struggle to get everything done. This presentation highlights the activities done recently on successful consulting assignments. Speaker Biography Shared Success: A New-Old Way to Bridge the Business-Technical Project Gap Diana Mekelburg Too many software projects fail because
the project's goals don't meet business and technical goals. The
standard advice is to acquire more project managers. Yet, this strategy
often causes more problems than it solves. Data management personnel play a crucial role in the creation and enhancement of computer systems, yet are too often excluded from key project management decisions. As a result, data management personnel are too often seen as "holding up the release". As recent interest in the centralized project manager approach begins to wane, data management personnnel are in the right position to benefit from a shift to more participatory project management. Being first to learn how to make this happen is a great advantage, as executives start looking for a new way to control projects. Speaker Biography Information Management at Mayo Clinic Tim Brennan Is your organization struggling to integrate
data? Is there a lack of consistent metadata and use of data elements
in your organization? Have you attempted to create a data stewardship
function to implement data element standards? Is your organization's
approach to managing its data inconsistent or undefined? If questions
like these elevate your blood pressure, then this session is for
you! This session will provide attendees with a story of a ongoing
journey that Mayo Clinic is undertaking to define and implement
Information Management (IM). The presentation will briefly identify
why Mayo recognized the need for defining IM, what Mayo identified
as objectives & components of an IM Program, and lessons learned
along the path of the journey of IM. The focus of this presentation is to communicate Mayo Clinic's experience regarding an Information Management Program. Having a presenter communicate objectives and components of Information Management at Mayo is beneficial, however, the added benefit of sharing the "real world" experience can assist attendees in taking away more than just theory...it is theory put into action. Speaker Biography Ready to Use XML Metadata Frameworks – An overview Peter Aiken M. David Allen We are constantly getting questions about the value of XML frameworks. This talk provides an overivew of their utility from a data management perspective. We examine some of the most popular XML frameworks, including industry specific frameworks such as RosettaNET (Electronics), Acord (Insurance), Envera (Chemical) as well as more generalized frameworks such as ebXML, bizTalk, and others regarding their relative utility to data managers. Our conclusions are that for well-specified domains, these frameworks provide immediate utility, complimenting existing data management efforts. If implemented correctly, these frameworks also provide a sound basis for the development of information architecture components including basic data modeling templates, standard data items, domain information, and inter and intra organization intragration metadata. Speaker Biography Governance and Synchronization of Shared Metadata: a User Perspective Peter Hallett Conrad Gottfredson Most large enterprises have a multitude of largely
independent databases, content management systems, applications
and portals. At one large global organization, coordinating shared
taxonomies and vocabularies proved too difficult and expensive to
continue the status quo as the number of content management systems
grew from dozens to hundreds. With an eye on consistent tagging,
faster change management and governance across systems, the business
information services team implemented a enterprise taxonomy repository
to support consistent tagging, retrieval and navigation across systems.
This session will be presented by one of the enterprise content
architects with the LDS Church. You will hear how the company gained
control over enterprise taxonomies and controlled vocabularies using
a shared-services model. Here we have a case-study from one of the World's largest firms, which is seen as a technology leader, sharing lessons with her peers Beyond Data About Data Kevin McDearis James Baker Implementing a Metadata solution that defines process, data and technology relationships in business and technical terms: Hear about the continued evolution of CheckFree’s Data Directory: From its beginning as flexible Data Dictionary, to what is now a repository that enables associates to relate and assess impacts to business processes, business rules, data models, and application components. We’ll cover the CDD’s evolution including a technical overview, content phasing, overcoming cultural challenges and driving overall business value. Patterns and Practice: Data, Object, and Interface Design Deborah Coleman Bill Murray Carla Lorek Data and process requirements are at the heart
of data analysis, object-oriented analysis and interface design
methods. Since the dependency of requirements is laden upon customers,
it is important to identify areas of synergism that are possible
between these methods and the methodologists that employ them. This
presentation will introduce synergistic opportunities and patterns
between data, object-oriented, and interface design methods discovered
through a post-baccalaureate project and thesis. Speaker Biography Bill Murray Carla Lorek Wednesday, May 25 Modeling Baseball Cards: A Case Study David Hay When did you get exposed to data management for the first time? Your first SQL course? The time you got dBase II on your first PC? No, we contend that you became aware of data management problems when you started collecting baseball cards. First, there were issues of storing the physical inventory. Then, as you looked at the cards, you began to understand the limitations of this medium in truly representing each player's performance. You saw, for example, that one card per player was ok, but sometimes players changed teams in a season, and that required two cards. And what happened when they started collecting new statistics? It turns out that modeling the data on baseball cards is an excellent exercise of data modeling skills. This presentation will describe the development of a data model as the modeler achieves successive insights into the subtleties of the underlying data. Beginning with a simple model of baseball cards themselves, the model will be extended in stages, until it becomes one that can serve as the basis for a true database to capture each player's performance throughout his career. This will be an example of the way to develop a data model. Speaker Biography He is the founder and President of Essential Strategies, Inc., a consulting firm dedicated to helping clients define corporate information architecture, identify requirements, and plan strategies for the implementation of new systems. Four Basic Steps to Data Security -- Sherman Lee Becky Kirkpatrick Decades ago we didn’t worry about locking the
front door. And now? We resort to multiple locks on doors and windows
and installing sophisticated security systems in order to protect
our households. Data Security has evolved in a similar fashion.
But in this highly regulated age of Gramm-Leach-Bliley and Sarbanes-Oxley,
how do you identify which are the most valuable assets coming under
increased scrutiny? Who warrants access and under what conditions?
How to accomplish all this without overtaxing business and IT personnel?
You will learn: Speaker Biography Becky Kirkpatrick, a data processing professional of 20 years, is an Associate Vice President for A. G. Edwards & Sons, Inc. As the firm’s Enterprise Information Architect, she is responsible for defining the architectural vision and strategy for managing the corporation’s business information, including electronic (structured data and content) and non-electronic data. Becky holds a Masters in Information Management Systems from Sever Institute, Washington University, in St. Louis, and has served on the board for DAMA-St. Louis. The Future of Data Management Matthew Williams What does the future hold for data management? Will this career path remain viable for the foreseeable future? Although current data-models are now widely accepted, they have not delivered on their promise to revolutionize the database world. Have new, more robust development environments relegated data architecture/modeling to a subsidiary role? Does the data architect and/or modeler still have a role to play in today’s IT world? And what do/should those roles look like? These and other questions are on the minds of those of us who make our living working with database technology. Join Senior Analyst Matt Williams as he pulls back the veil on these issues and reveals what proves to be a controversial but thought-provoking glimpse into the future of data management. I gave this presentation at our monthly meeting for DAMA Atlanta and it was well received. Its intent is less instructional, although I do discuss two areas pertinent to the application of data modeling: modeling for data security and modeling for business solutions. More importantly, my presentation provokes thought among data management professionals regarding the future direction of data management. This presentation speaks to the heart of the issues confronting our industry and provides a fresh and timely perspective. Speaker Biography Implementing a Metadata Repository at a Data Driven Company Ray McGlew Implementing a metadata repository is much
more than simply installing the software, running scanners to extract
the metadata, and providing access. The metadata repository must
be a part of a coherent data and metadata management strategy, and
stakeholders must understand its importance. This presentation will
suggest strategies for implementing a metadata repository as part
of a larger data management program. This will include: This presentation is based upon my experience in leading the DA function at IMS Health. While there we developed an Enterprise Logical Data Model, as well as a pilot Interim Metadata Repository and follow-on Enterprise Metadata Repository. This repository has been used to help with development and impact analysis, as well as disseminate metadata to those who need it. Speaker Biography An Enterprise Approach to Metadata Management
Dan Paolini As John Singer says, truly, “We are drowning in a sea of metadata.” As bad as this sounds, the more significant problem is the metadata that is managed (or mis-managed) by people and functions that don’t even realize they have metadata. How do you sell a metadata strategy when executives assume it is an ultra-techie, geek-filled domain with nothing in common with their business? We need to get ahead of knowledge and content management and connect those efforts with traditional metadata management efforts - What is the role of metadata in an information
architecture? Speaker Biography He has presented eight keynotes and more than fifty technical papers at more than twenty conferences in North America and Europe on many diverse topics. Dan was a contributing editor for a monthly database magazine for three years as well as the technical editor for three database books. Dan is the Vice President for Standards for the DAMA International Foundation. He also serves as a moderator for the Data Architecture Professional Group. Dan has served more than thirty years as a volunteer firefighter, recently retiring as chief of his fire department. He has been honored several times for rescues and service. In his spare time he writes music and teaches Sunday School. The Semantic Web: What is it and Why Should You Care? Dave McComb, The Semantic Web is one of those grand visions which has been written about for a long time in scientific and academic circles without reaching the mainstream. That is about to change however. Semantic web technologies are insinuating themselves into a lot of new IT initiatives. And it’s not just an Internet-based phenomenon—the notion of an “enterprise” semantic web is catching on rapidly, and may in fact be the bigger issue for data managers to deal with in the not-to-distant future (namely months, not years!) This presentation will explain the ideas and technologies behind the semantic web at both the Internet and enterprise levels. PANEL: The Changing Role of the Business Analyst/System Designer Gil Laware Andrew Walters Jack Hilty As technology and design techniques continue
to evolve, business analysts/system designers are at a crossroads.
Because of the need for models to represent actual business situations
and reflect multiple perspectives, analyst/designers must have a
cadre of skills, characteristics and experiences including knowledge
of business, design techniques, and technology. Panel Discussions on the change in the business/educational environments requiring the need to develop skills based upon personal characteristics. These will have significant implications upon current industry practices and directions. The panelists have over 60 |