10:15–11:15

Metadata Integration: The Route to Shared Business Vocabulary and Trusted Metrics
Mike Ferguson, Managing Director, Intelligent Business Strategies

10:15–11:15

Information Quality

Data Profiling Tools for Investigating the Quality of Data
Rick van der Lans, Industry Analyst, R20/ Consultancy BV

PANEL: Future of Data Modeling
Graham Witt, Terry Quatrani, Dave Hay, Graeme Simsion

DAMA
Track 2

Global Data Management on a Shoestring
Chris Maynard, Global Data Architect, JohnsonDiversey

Data Certification: Experiences With New Data Management & Quality Methods
Andres Perez, Senior Information Management Consultant, IRM Consulting, Ltd. Co.

An Innovative Approach to Information Modelling
Martin Richley, Head of Army’s Information Coherence Group, Ministry of Defence

"So, Tell Me About Your Data" - Using Entity Life Cycles To Get The Users To Develop The Logical Model
Dagna Gaythorpe, Consultant Information Architect

14:25–15:25

META DATA

Meta-Data Vendor Solutions – Latest Product Trends & Comparison Research
Stu Carty, President, Gavilan Research Associates

14:25–15:25

Information Quality

Developing and Implementing a Strategic Plan for Improving the Quality of Fisheries Commercial Catch Data: Avoiding the Silver Bullet, Acquiring a Silver Machine Gun
Kim Duckworth, Research Data Manager, New Zealand Ministry of Fisheries

14:25–15:25

DAMA
Track 1

Data Management Practice Maturity Survey - Do You Know Where Your Meta Data Is?
Peter Aiken, Founding Director, VCU/Data Blueprint

How do IT and Business work together to make Mobistar's Data Warehouse a Success?
Michael Peeters, Head of Management Reporting and Data Management, Mobistar

15:40–16:40

The Return of Enterprise Reuse
R. Todd Stephens, Technical Director of the Metadata Services Group, BellSouth

Data Quality, Meta Data and Business Rules: Partnered in the Pursuit of Information Quality
Diana Joseph, Architect Information Quality, Old Mutual

Closing Panel: Shed The Hype – What Really Works
Larry Dziedzic, John Ladley, Peter Aiken, Graeme Simsion, David Evans

DAMA Professional Groups Meeting:

	Michael Brackett Consulting Data Architect Data Resource Design & Remodeling
	Larry Dziedzic DAMA International & Johnson & Johnson

DAMA International has established Professional Groups for data architecture, data modeling, data quality, data repositories, data stewardship, and data lexicon. These Professional Groups are working toward defining the best practices for a formal data and information management discipline. The Professional Groups collectively form a Professional Group Council that coordinates and integrates the activities of the individual Professional Groups. During this session the Professional Groups will briefly explain their objectives, progress, and plans. If you belong to a Professional Group, or are interested in joining a Professional Group, be sure to attend this meeting.

Information Quality Keynote:
MATURING YOUR IQ MANAGEMENT FUNCTION: KEYS TO SUSTAINABLE VALUE DELIVERY

Larry P. English President INFORMATION IMPACT International Inc.

Information Quality Management is NOT a project, NOR a program, NOR a functional unit. It is a journey of growth and maturation. When that IQ journey is taken, it leads to escalating reduction of the costs of process failure and its resulting information scrap and rework; increases in customer satisfaction and knowledge worker satisfaction; and increases in profit or surplus that can be used to add new value.

Maturity models have become a new fad. Someone counted over 120 different maturity models for quality management, software quality management, information quality and information management. Unfortunately, many of these do not contain the real ingredients of a quality maturity model as defined by Philip Crosby, in his seminal model, The Quality Management Maturity Grid, described in his book Quality Is Free. Some, tragically, are merely taxonomies of software tools!!!

In this presentation, Mr. English describes the journey of maturing the Organization’s IQ environment. While every organization will have its unique pilgrimage with its unique twists and turns, there are critical success factors each must accomplish to sustain the journey.

Mr. English describes:

• The Stages of IQ Management Maturity
• Taking Inventory: Where are you?
• Establishing a Vision: “Begin with the End in Mind”
• Planning your next Steps: “Put First Things First”
• Assuring continual growth and improvement: “Hold the Gain”
• Moving to Certainty: Counting the value you deliver

Wednesday
3 November
10:15–11:15

META DATA

Metadata Integration: The Route to Shared Business Vocabulary and Trusted Metrics

Mike Ferguson Managing Director Intelligent Business Strategies

By integrating metadata that describes disparate data, data inconsistencies can be identified and a shared business vocabulary can be created by mapping these disparate definitions to common ones. In Mike’s presentation he will show how a shared business vocabulary for business intelligence and user access to common definitions of business metrics, can lead to real trust in the information used for decision making. Topics covered are:

• Metadata integration – why do it?
• Approaches to metadata integration
• Using data integration technologies to integrate metadata
• Mapping disparate definitions to a shared business vocabulary
• Standards and technologies – what’s happening in the marketplace
• Putting a shared business vocabulary to work – including trusted metrics, EII on-demand data integration, business process management and enterprise portals
• Implications – how a shared business vocabulary simplifies rules and rule-driven closed loop systems
• Leap-frogging to near real-time data integration, automatic analysis and business automation
• The Intelligent Enterprise – all made possible by common business metadata

Wednesday
3 November
10:15–11:15

Information
Quality

Rick van der Lans Industry Analyst R20/ Consultancy BV

In this presentation, Rick describes data profiling and data profiling products as tools to investigate information quality.

• How do data profiling tools investigate the quality of data?
• What do they discover? - key anomalies, hidden functional dependencies, incorrect patterns
• Overview of market, including: Ascential ProfileStage, Avellino Discovery, Evoke Axio, FirstLogic IQ Insight, and Mosaic Imperative Profiler
• Demo with data profiling tools
• Differences between data profiling and cleaning tools
• Application areas of data profiling tools
• Limitations of data profiling tools

Wednesday
3 November
10:15–11:15

DAMA
Track 1

	Graham Witt			Dave Hay
	Terry Quatrani			Graeme Simsion

We live in a world of ERP, packages, short-term solutions, and outsourcing. Some organizations have replaced corporate data architecture areas with project teams that include database administrators but may not include data modelers. Others only develop physical models and skip development of the logical model. Is this the best way to proceed? Where does UML fit into this type of environment? What happens with project models when a centralized data management area no longer exists? Are short-term project models integrated or simply discarded after a project is implemented? Is there no longer business value in business modeling? This panel will not focus on tools, or what modeling notation or methodology is better than another. But whether data modeling as we know it today is a thing of the past.

Wednesday
3 November
10:15–11:15

DAMA
Track 2

Back to top

Chris Maynard Global Data Architect JohnsonDiversey

How can I add any value to my business with only two people in a multi-billion dollar corporation with operations in more than 50 countries? After 8 years as Corporate Data Architect in the same organization, and having survived two global mergers, Chris Maynard has refined some key questions and makes a stab at some answers.

• Why is everything about data so difficult?
• Making data easy to share
• Essential Skills
• Getting your hands dirty and gaining respect
• Why more software is not the answer

Wednesday
3 November
10:15–11:15

DAMA
Track 3

Back to top

John Ladley President KI Solutions

An organization’s information portfolio contains great potential value. Many information management departments want to demonstrate this potential value of information and knowledge to upper management. There are multiple reasons for this:

• Proactive justification for enterprise information management (i.e. their own jobs)
• Reactive risk management to reduce corporate exposure to information related risk

However, intrinsic value, or potential value, has no meaning to beleaguered CEOs. Fortunately for the information or knowledge manager, there is some work being done on valuing information and knowledge, and developing metrics to demonstrate and assess the value of information assets, i.e. hard financial measurement.

This brief presentation will review the reasoning and means for assessing the information assets of a company or organization. Rather than present specific (and often proprietary) measurement techniques, this session will recommend how shops can develop their own metrics that fit their own situations. Specific topics will be:

• Definition of Information Valuation
• Techniques to incorporate business objectives into Information Valuation
• Techniques to identify the value of information portfolios

Wednesday
3 November
11:20–12:20

META DATA

Graeme Simsion Senior Fellow University of Melbourne

"Ultimately the critical factor was winning management support";
"We had to overcome a perception that we were technologists";
"Getting managers to think about the organisation as a whole rather than just their own silos was a key challenge".

Familiar statements about data management? Yes, but equally they are statements about business process re-engineering, a discipline that has faced many of the same challenges. What can we learn from our counterparts in that field? In this presentation, Graeme will draw on his and others' experience with business process improvement and re-design to identify lessons of relevance to data managers - and some for data modellers. For those who have found that the biggest challenges in data management are organisational and political rather than technical, this presentation should provide some new ideas and a chance to reflect on their own approaches.

The presentation will include practical advice on:

• Getting management and other influential players engaged
• Choosing the right projects and directions
• Implementing sustained change to business processes
• Getting credit for success

Wednesday
3 November
11:20–12:20

Information
Quality

Andres Perez Senior Information Management Consultant IRM Consulting, Ltd. Co.

Data Certification is a technique for assuring information quality. In this presentation, Mr. Perez describes what Data Certification is and how it helps you increase information quality. You learn how to implement effective information policies, standards and guidelines.

Having implemented a successful Data Certification program as the Information Resource Management leader, Mr. Perez shares lessons learned to help you understand how you can implement Data Certification for information quality.

• What are the components of Data Certification
• The role of Information Stewardship in Data Certification
• How to implement Data Certification
• Pitfalls and how to avoid them

Wednesday
3 November
11:20–12:20

DAMA
Track 1

CASE STUDY

Martin Richley Head of Army’s Information Coherence Group Ministry of Defence

To exploit information it is first necessary to know what information is required and how different users wish to view/use that information. The Corporate Business Modelling Language CBML® gives an information analyst, for the first time, an innovative tool that will allow him/her to express the information needs, independently of implementation, to meet the differing view of the information required by the business user in a robust and precise manner. The presentation will:

• Highlight the current issues
• Propose a way forward of expressing information requirements
• Describe in outline CBML® and its supporting methods
• Describe the key technical innovations of CBML®
• Outline where the British Army is currently using it

Wednesday
3 November
11:20–12:20

DAMA
Track 2

Back to top

CASE STUDY

Dagna Gaythorpe Consultant Information Architect

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.

Key topics:

• Developing the Entity Life Cycle flow chart
• Getting to the list of attributes (some entities may be mentioned at this stage).
• Normalizing the model

Wednesday
3 November
11:20–12:20

DAMA
Track 3

Back to top

CASE STUDY

Carol Owens Head of Media Data Group Siemens Business Services Media

In November 2000 the data management specialists in the BBC’s Media Data Group were stunned to receive the Royal Television Society’s Technical Innovation Award for their Standard Media Exchange Framework – SMEF – Data Model. Since work began in late 1997, the group has grown to a seven figure turn-over business unit in the BBC Technology Consulting Practice. It provides an enterprise data management service to the BBC, promoting applications integration using the latest technologies. The need for the service has been explained to the creative and business communities as a solution to real operational problems, and in terms that they can relate to.

This case study will offer an insight into the arguments for setting up a data management service in a broadcasting, engineering focused, "data virgin" public service site, and will show examples of the marketing messages and channels used including a BBC video.

Attendees will learn:

• The importance of understanding a company’s culture
• The need to balance strategic architecture with solving practical problems
• How to translate IS industry practices into broadcasting “speak” (as an example of a scarcely-tapped market)

META DATA KEYNOTE:
METADATA - THE BIG PICTURE

Graham Witt Consultant Aem Group

We often think that meta data is only found in tools or in a formal medium, but metadata is pervasive – it is to be found not only in models, but in references to model artefacts in specifications, in legends on screens and reports, and in references to data items in help screens. In Graham’s keynote presentation, he will look at some key questions for all of us:

• Where is the metadata?
• How well are all these forms of metadata integrated?
• Which is the source of truth?
• How are changes propagated?
• Do tools help or hinder?
• What is the role of metadata in information quality?

Wednesday
3 November
14:25–15:25

META DATA

Stu Carty President Gavilan Research Associates

In this presentation, Stu will draw from research data that has been collected from web-based user surveys and metadata vendor RFIs to look at metadata usage trends and vendor product solutions. The topics covered will include:

• The latest metadata usage trends and issues from Global 5000 companies
• The latest metadata vendor solutions – products, capabilities, comparisons, best-fit, features, strengths, and weaknesses
• Best practices and approaches in evaluating metadata management solutions, and in implementing metadata products

Wednesday
3 November
14:25–15:25

Information
Quality

CASE STUDY

Kim Duckworth Research Data Manager New Zealand Ministry of Fisheries

Catch data is used by the NZ Government to administer a billion dollar fisheries resource. An analysis suggested that 1.6 million probable errors entered the dataset each year. A strategic plan to improve the quality of the catch data was developed and 20 quality improvement projects implemented. Lessons learnt include the importance of:

• Implementing a program of quality improvement (as opposed to “silver bullet” projects)
• Establishing real data needs (so that limited resources can be best used)
• “Selling” improvements (so that gains can be maintained)

Wednesday
3 November
14:25–15:25

DAMA
Track 1

Peter Aiken Founding Director VCU/Data Blueprint

How well does your organization manage its one resource that it cannot use up, and is designed to be reusable? Chances are - not as well as it could. Over the past two years, the Institute for Data Research has surveyed more then 40 organizations of differing sizes - from both government and industry. The results of this survey are permitting the development of a model that can help organizations assess their organizational data management practices. Good data management practices can help organizations save the 20 - 40 % of their technology budget that is spent on non-programmatic data integration and manipulation (Zachman). This talk describes the Data Management Practice Maturity Survey and presents the results to date. Participants will be equipped to generally assess the state of their own organizational data management practices. Architecting classes of problem engineering-based solutions instead of more expensive, point-to-point solutions! Many applications that have been seen as very complex can now be successfully implemented.

Wednesday
3 November
14:25–15:25

DAMA
Track 2

Back to top

CASE STUDY

Michael Peeters Head of Management Reporting and Data Management Mobistar

Mobistar was founded in 1995 as a joint venture between France Telecom Mobile International and Telinfo together with some other Belgian partners. In December 2000 Mobistar became part of the worldwide Orange Group, one of the biggest mobile operators in Europe. This presentation explains how Mobistar's infocentre moved to a Datawarehouse, explaining the important role of the Data Management Forum. This forum is the glue between business and IT within Mobistar. Michael will explain how he worked closely with Mobistar's CFO to make the DW a success. The second part of the presentation shows how Mobistar moved from an operational data warehouse to a more strategic approach. It also explains that this step can't be taken without clear data quality actions. To conclude Michael will share some lessons learned in building up Mobistar's data warehouse.

Wednesday
3 November
14:25–15:25

DAMA
Track 3

Back to top

Keith Gordon Gordon Blain Associates

Most data management initiatives have concentrated on the format and schematic structure of data. The author's experience over the last decade has convinced him that the most important activity within any data management initiative must be the development of agreed semantic data definitions. This presentation will review this experience and attempt to explain why the author is convinced of the importance of semantic definitions.

This presentation will cover:

• The concepts of schematic correctness, syntactic correctness and semantic correctness
• A review of the experience
• How schematic and syntactic differences can be overcome
• The importance of semantic definitions

Wednesday
3 November
15:40–16:40

META DATA

CASE STUDY

The Return of Enterprise Reuse

R. Todd Stephens Technical Director of the Metadata Services Group BellSouth

Reuse continues to be an important topic in most IT organisations. In a recent article in InfoWorld, the top obstacles to enterprise reuse were identified as: lack of awareness of software available for reuse, the level of effort required to design software for reuse and that the programmer was not inclined to actually reuse other organisational assets. All this has an impact on meta data, as meta data can be used to improve reusability. In this session, Todd will review the fundamental basics of reuse within a large corporate environment and provide metric measurements for Bell South’s reuse program. The intent of the session is to inform the participants of the fundamentals of reuse as well as describe a major corporate implementation. Topics to be covered include:

• Basic Definition of Reuse
• Types of Reuse
• Roles within a Reuse Environment
• Benefits of Reuse and Economic Models

Wednesday
3 November
15:40–16:40

Information
Quality

CASE STUDY

Diana Joseph Architect Information Quality Old Mutual

Back to the Future? Imagine that amazing place where we will be in 2006, how we have survived and are at last achieving the benefits of quality information. This presentation describes our journey, the pain, challenges and the achievements as we transform from reacting to data quality problems to preventing them. The presentation brings together Data Quality, Meta Data, and Business Rules to provide you with a view of our approach to achieving quality information.

• Data Quality architecture
• Business Rules architecture
• The partnership – an integrated Information Management Architecture
• Implementing the partnership - processes and techniques
• Enabling Technologies – business rules repository integrated with data quality measurement, data correction and supporting meta-data
• Real live solutions – reaping the benefits

Wednesday
3 November
15:40–17:10

DAMA

	Larry Dziedzic		Graeme Simsion
	John Ladley		David Evans
	Peter Aiken

The data management discipline today is characterized by continuous, relentless hype about what needs to be done, the tools that need to be purchased, the techniques that should to be implemented, and so on. Managers and practitioners alike are deluged with an unending string of perspectives, such as architectures, stewardship, modeling, business orientation, quality, process orientation, strategies, and so on, that are the only way to manage a data resource. It is getting increasingly difficult to determine the basic concepts, principles, and techniques that need to be implemented for an organization to have successfully manage their data resource.

Each expert on the panel will present a snapshot of what they believe really works when the all the current hype is removed. What are the basic principles that produce real results? What practices produce long term, lasting results? What techniques transcend the constantly changing hype? What basic principles provide a strong data resource that meets business needs? An interactive discussion between the experts and the attendees will follow the snapshot presentations.

Wednesday
3 November
16:40–17:10

META DATA

META DATA CONFERENCE Q&A SESSION AND CHAIR WRAP UPS

Wednesday
3 November
16:40–17:10

Information
Quality