Conference - Conference Day 2

CONFERENCE - DAY 2 WEDNESDAY 31 October 2007
08:00–8:45		DAMA International Meeting John Schley, President, DAMA International
09:00–10:00		IQ KEYNOTE So Many Data, So Little Time: Exploring, Understanding and Presenting Data with a Bias for Action Dr. A. Blanton Godfrey, Dean of the College of Textiles, North Carolina State University and Former Chairman and CEO Juran Institute, Inc.
10:00–10:30		Break & Exhibits
10:30–11:30	META DATA	Managing Information Flow Through Managed Lineage Meta Data David Plotkin, Data Quality Manager, Wells Fargo Bank
10:30–11:30	Information Quality Track 1	Master Data Quality Measurement in SAP—Beyond the Basics Tom Fish, Data Quality Process Manager, Air Products and Chemicals
10:30–11:30	Information Quality Track 2	Simple COQ Model and Typical Barriers Milan Kucera, Information Quality Consultant, Data to Information, s.r.o.
10:30–11:30	DW/BI	Why do we need Data Warehouse Appliances? Rick van der Lans, Industry Analyst, R20/Consultancy
10:30–11:30	DAMA Track 1	5 Techniques for Getting Traction with Data Modelling Alec Sharp, President, Clariteq Systems Consulting, Ltd
10:30–11:30	DAMA Track 2	The Changing Nature of Discourse Between Data Professionals John Schley, Senior Data Modeler Analyst, Principal Financial Group
10:30–11:30	DAMA Track 3	Deciding What Data to Govern Michele Koch, Data Administration, Sallie Mae

11:35–12:35	META DATA	Managing Metadata for SOA: How to deal with contracts and policies in the context of SOA governance and the SOA lifecycle Jason Bloomberg, Senior Analyst & Principal, ZapThink
11:35–12:35	Information Quality Track 1	Customer Data Quality as a (Self) Service in a 24/7 Internet Retail Environment Almar Hijlkema, Data Process Manager, Wehkamp.nl Winfried van Holland, Human Inference B.V.
11:35–12:35	Information Quality Track 2	Embedding DQM Best Practice into the IT Project Lifecycle Dr. Robert Daniels-Dwyer, Data Quality Leader, Network Rail
11:35–12:35	DW/BI	Who Needs Real-time Data Warehouse? Tom Haughey, President, InfoModel LLC
11:35–12:35	DAMA Track 1	Asset Data Management for the East London Line Project Josh Kanyemba, Asset Data & Records Manager, East London Line, Transport for London
11:35–12:35	DAMA Track 2	Corporate Data Mashups Dr. Peter Aiken, VDU/Data Blueprint
11:35–12:35	DAMA Track 3	Structured Business Vocabularies Graham Witt, Consulting Manager, Ajilon Consulting
12:35– 14:00		Lunch & Exhibits
13:20–13:50	Perspective Session	Track 1 - Human Inference: Join the DQ paradox - tHInk local, act Global!, Winfried van Holland, Human Inference
13:20–13:50	Perspective Session	Track 2 - Pitney Bowes Group 1 Software: Patterns in Data Quality Architectures, Michael Overturf, Pitney Bowes Group 1 Software
14:00–15:00		DW/BI Keynote Building Data-Rich Service-Oriented Business Applications in a Heterogeneous Environment Jason Bloomberg, Senior Analyst & Principal, ZapThink
15:00–15:25		Break & Exhibits
15:25–16:25	META DATA	Implementing Information Management with SOA Art Ligthart, Principal Solution Architect, Ordina
15:25–16:25	Information Quality	Featured Presentation Seven Deadly Misconceptions about IQ: Implementing IQ for Business Effectiveness Larry P. English, President, INFORMATION IMPACT International
15:25–16:25	DW/BI	Performance Management for Everybody Kasper Damsø, Novo Nordisk Jørgen Steines, Platon A/S
15:25–16:25	DAMA Track 1	An Information Sharing Platform for the Public Service Elizabeth Olivieri, IRM Manager, Malta Information Technology & Training Services Ltd.
15:25–16:25	DAMA Track 2	Introduction to Geospatial Data Architecture and GIS Data Management Michael Scofield, Manager, Data Asset Development, ESRI, Inc
15:25–16:25	DAMA Track 3	Progressing Up the Data Management Maturity Curve David Hammer, Master Reference Data Development Manager, Shell

16:30–17:30	META DATA	Information into Action: Delivering Value from Information Governance and Metadata Management Ron Klein, Sr. Information Management Consultant, BMO Financial Group
16:30–17:30	Information Quality	Plenary Panel: Ask the Expert Practitioners Paul O’Keeffe, Marks & Spencer Money Dr. Robert Daniels-Dwyer, Network Rail Paul Gysemans, Belgacom Annick Andries, Belgacom Dr. Walid el Abed, Nestlé Tom Fish, Air Products & Chemicals
16:30–17:30	DW/BI	The Virtual Data Warehouse - Yesterday’s Vision is now Today’s Reality Robert Eve, Vice President, Marketing, Composite Software
16:30–17:30	DAMA Track 1	Delivering Decision Ready Information to The Risk Agile Organisation Steve Benton, Business Continuity, Security and Governance, British Telecom
16:30–17:30	DAMA Track 2	We Don't Need a Corporate Model (Oh, Yes, You Do!) Dagna Gaythorpe, Independent Data Architect
16:30–17:30	DAMA Track 3	Data: The Antidote to Requirements Babel Suzanne Robertson, Principal of the Atlantic Systems Guild

Wednesday
31 October
08:00–08:45

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DAMA International Meeting
John Schley, President, DAMA International

John Schley
President
DAMA International

Wednesday
31 October
09:00–10:00

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IQ Keynote:
So Many Data, So Little Time: Exploring, Understanding and Presenting Data with a Bias for Action
Dr. A. Blanton Godfrey, Dean of the College of Textiles, North Carolina State University and Former Chairman and CEO Juran Institute, Inc.

Far too often we rush into collecting data without taking time to stop and ask why. Why are we collecting these data? Who will use them? How will they be changed into information? What action will we be able to take with this new information? How critical is the quality of these data to the decision we will make? In this presentation we'll explore these questions and discuss recent efforts to answer some of these. One area we'll explore is how Six Sigma and data quality are intricately related. Another is the intent of the new Institute for Advanced Analytics. A third area is how new interactive databases are creating new challenges for their designers and for the business analysts who use them.

Featured Speaker:

Dr. A. Blanton Godfrey
Dean of the College of Textiles, North Carolina State University and
Former Chairman and CEO Juran Institute, Inc.

CONCURRENT SESSIONS

Wednesday
31 October
10:30–11:30

META DATA

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CASE STUDY

Managing Information Flow Through Managed Lineage Meta Data
David Plotkin, Data Quality Manager, Wells Fargo Bank

Understanding and improving information quality almost always involves knowing where data came from, the business rules applied to it, where those rules were applied, and any transformations the data went through. That is, you must understand and document the metadata around data transformations. You will learn how to build an information chain and the many ways the information chain can help you understand and document data lineage, rules, assigning of stewardship, and semantic mapping. A basic metamodel will be presented for recording transformations in a metadata repository, and how to customize the metamodel to add more detail for business rules and the rule application point. You will learn processes to record and implement business rules and how to segregate data that fails the rules. You will also learn the process and cultural implications of implementing rigorous IQ through metadata management. A case study will document actual cost savings and productivity increases from having successfully tracked lineage for data.

Building the Information Chain
The value of the Information Chain
Tracking data lineage across the Information Chain
Specifying IQ rules
Examining the metadata that must be recorded and analyzed to understand what happened to the data
Inspecting the Lineage metamodel

Featured Speaker:

David Plotkin
Wells Fargo Bank

Wednesday
31 October
10:30–11:30

Information
Quality

Track 1

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CASE STUDY

Master Data Quality Measurement in SAP—Beyond the Basics
Tom Fish, Data Quality Process Manager, Air Products and Chemicals

Most Data Quality tools offer checks for missing data and formatting, but what does it take to verify that master data is truly fit for purpose in the business process? After measuring SAP master data quality for 3 years, Air Products recently started to put in place a second generation of more sophisticated measures to detect whether master data really conforms to process requirements. This presentation will describe how we did it, including demonstrations of some of the measures.

Featured Speaker:

Tom Fish
Air Products & Chemicals

Wednesday
31 October
10:30–11:30

Information
Quality

Track 2

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Simple COQ Model and Typical Barriers
Milan Kucera, Information Quality Consultant, Data to Information, s.r.o.

This presentation describes a way to develop and implement simple Cost-of-Quality (COQ) model. Mr. Kucera describes the information quality techniques he used in developing this model. He identifies different barriers and company habits (like unwillingness to work on future development, missing communication, issues in calculations, etc.). Also I plan to present other barriers.

Finally I plan to compare identified issues to information quality principles.

The key topics of presentation are:

How to develop simple COQ model
Typical barriers to information quality implementations
Recommendation for solving those barriers

Featured Speaker:

Milan Kucera
Data to Information

Wednesday
31 October
10:30–11:30

DW/BI

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Why do we need Data Warehouse Appliances?
Rick van der Lans, Industry Analyst, R20/Consultancy

In a nutshell, a data warehouse appliance is a machine with processors, disks and a database server, where every software and hardware module is tuned towards a typical data warehouse workload. More and more appliances are appearing on the market, including DATAllegro, GreenPlum, HP Neoview, Netezza, and the Sun DWA. All the vendors report that these appliances will drastically lower the TCO, improve query performance, and are capable of handling massive volumes of data. Some even state that they are ten times cheaper, and ten times faster. But how true are these bold statements? Do these machines really lower TCO because the time we spend on tuning and optimisation is close to zero? Can we easily port our existing warehouses, now running on DB2, Oracle, or SQL Server, to one of these appliances? In this session, a critical and realistic overview is presented of the state of the art of data warehouse appliances.

Featured Speaker:

Rick van der Lans
R20/Consultancy

Wednesday
31 October
10:30–11:30

DAMA

Track 1

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5 Techniques for Getting Traction with Data Modelling
Alec Sharp, President, Clariteq Systems Consulting, Ltd

Experience shows that simple techniques, consistently and regularly applied, will go a long way to getting traction for the idea that data modeling is a vital business tool. Drawing on almost 30 years of successful data modeling experience, this presentation will discuss five (or maybe ten) core techniques for helping people appreciate, use, and possibly even want to build data models. Topics include:

Don’t try to teach data modeling
Show them what they’ve already got (and why they don’t like it)
Solving a management issue
Making it repeatable – methods, patterns, procedures
Tufte would agree – graphic principles matter!
Be style conscious – “V-A-K”

Featured Speaker:

Alec Sharp
Clariteq Systems Consulting

Wednesday
31 October
10:30–11:30

DAMA

Track 2

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CASE STUDY

The Changing Nature of Discourse Between Data Professionals
John Schley, Senior Data Modeler Analyst, Principal Financial Group

Major changes are coming to how data professionals communicate. Today we network at training events and in small geographically-based groups. We listen to a small set of experts and learn new topics and techniques from the “gurus”. The advent of new technologies and new ways of organizing ourselves is bringing changes to that, however. Soon we will be able to tap into the collective wisdom of everyone and not be limited to the vision of a few experts. This presentation will explore:

Social networking and collaboration
Open source solutions
Ways to build a stronger, more vibrant data management community

Featured Speaker:

John Schley
DAMA International

Wednesday
31 October
10:30–11:30

DAMA

Track 3

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CASE STUDY

Deciding What Data to Govern
Michele Koch, Data Administration, Sallie Mae

How do you decide what data your governance program should address? Sallie Mae, who manages more than $137 billion in student loans for 9 million United States borrowers, wanted to focus on enterprise data. They embarked on a project to identify fields that were used by multiple business units. They also started as a self-funded Data Architecture project rather than through an executive mandate and used a meta data initiative to initially drive governance rather than the other way around. In this case study, attendees will learn:

Relationships between enterprise fields and Master Data.
The top-down approach that inspired business users
Tools and processes used to discover enterprise data across multiple systems.
How this project paved the way for implementing formal Enterprise Data Stewards
Benefits of a “non-traditional” Data Governance approach

Featured Speaker:

Michele Koch
Sallie Mae

CONCURRENT SESSIONS

Wednesday
31 October
11:35–12:35

META DATA

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Managing Metadata for SOA: How to deal with contracts and policies in the context of SOA governance and the SOA lifecycle
Jason Bloomberg, Senior Analyst & Principal, ZapThink

To meet the agility goal of Service-Oriented Architecture (SOA), it's essential to implement a declarative, configuration-based approach to configuring and composing Services. The secret to this declarative nature of Services is Service metadata that describe the behaviour of Services and their consumers in the context of a working SOA implementation. Managing those metadata, therefore, becomes a critical infrastructural challenge for any SOA implementation, especially considering that SOA requires so many different types of metadata with different needs and purposes.

How to tackle the management challenge for contract, policy, and other Service metadata as part of a SOA initiative
How metadata management is critical for SOA governance
How to avoid the metadata management pitfalls that can sabotage an agile Service lifecycle

Featured Speaker:

Jason Bloomberg
Senior Analyst and Principal
ZapThink

Wednesday
31 October
11:35–12:35

Information
Quality

Track 1

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CASE STUDY

Customer Data Quality as a (Self) Service in a 24/7 Internet Retail Environment
Almar Hijlkema, Data Process Manager, Wehkamp.nl
Winfried van Holland, Human Inference B.V.

As in the past call center agents and data-entry employees were the gatekeepers on data quality, nowadays due to the growth in internet usage, the customer is more and more manager of his own data, incl. data quality. Wehkamp has implemented first-time-right principles via intelligent software services on data quality for their web customers, to prevent their database from being polluted and therefore guarantee optimal operational business processes and reliable customer intelligence.

The three major themes we will address are:

Information quality for customer self service;
Intelligent software services independent of channels;
Return on investment.

Featured Speakers:

		Almar Hijlkema Wehkamp.nl

		Winfried van Holland Human Inference

Wednesday
31 October
11:35–12:35

Information
Quality

Track 2

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CASE STUDY

Embedding DQM Best Practice into the IT Project Lifecycle
Dr. Robert Daniels-Dwyer, Data Quality Leader, Network Rail

Network Rail is the blue-chip, not-for-dividend company tasked with delivering sustained improvements to Britain’s rail infrastructure. This paper introduces how the company has begun to embed DQM best practice into its IT project lifecycle.

The emerging benefits of this work are:

Reduced levels of project risk relating to non-availability/unsuitability of application-critical data
Early sight of realistic estimates of effort required for data migration
Improved post-delivery integration of applications with business processes
Clarity of master data sources and ownership

Featured Speaker:

Robert Daniels-Dwyer
Network Rail

Wednesday
31 October
11:35–12:35

DW/BI

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Who Needs Real-time Data Warehouse?
Tom Haughey, President, InfoModel LLC

Data warehousing within an organization will progress through different levels of maturity. Real time data warehousing is not for everyone. Some organizations are still at the stage of evaluating the relevance of simple issues like should the structure be a star or a snowflake. Others have had years of success with data warehousing and are looking to achieve even greater business benefit and higher levels of return on investment. This presentation will address first what is real-time and what is a data warehouse, and then what is a real-time data warehouse. Significant changes in thinking and technology are required to enable real-time data warehousing, as well as real time BI. We will discuss examples of business applications that make sense, such as in managing a hedge fund. What are the characteristics of organizations who should even think of making the move to real-time data warehousing. Are there applications that are more suited to than others?

In addition to the types of organizations and applications, three major and advanced design topics will be discussed as they pertain to real-time:

Enhanced performance
Enhanced availability and
Enhanced data freshness.

This presentation will focus on what it takes to achieve each of these, and the characteristics of an organization required to achieve these.

Featured Speaker:

Tom Haughey
InfoModel

Wednesday
31 October
11:35-12:35

DAMA

Track 1

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CASE STUDY

Asset Data Management for the East London Line Project
Josh Kanyemba, Asset Data & Records Manager, East London Line, Transport for London

The East London Line Project aims to extend the existing 1870’s built line northwards from Shoreditch to Dalston Junction to link with the North London Line. To enable the upgrade and design of the railway line, existing asset data was gathered from various stakeholders who included railway infrastructure owners, operators, regulatory authorities and railway network maintainers. The data that was gathered by the consultants working on the project was in electronic and non-electronic format. The decisions that had to be made involved data integrity and assessing the risks associated with using poor quality data. Key points:

East London Line upgrade
Managing existing data
Data management during project implementation

Featured Speaker:

Josh Kanyemba
Transport for London

Wednesday
31 October
11:35–12:35

DAMA

Track 2

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Corporate Data Mashups
Dr. Peter Aiken, VDU/Data Blueprint

What are mashups and how might they be useful and/or impact my organisation? Mashups occur when someone writes a website that uses data from another website. Sounds simple enough but the implications are huge particularly when considering other architectural configurations such as SOA. This talk describes and illustrates a number of mashups, describes the basic technology behind them, and will leave delegates with the ability to evaluate their potential utility for their own organizations.

What it means to be a mashup
Emerging technical and social challenges that mashup developers face
Web applications informally known as Web 2.0

Featured Speaker:

Peter Aiken
VCU/Data Blueprint

Wednesday
31 October
11:35–12:35

DAMA

Track 3

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Structured Business Vocabularies
Graham Witt, Consulting Manager, Ajilon Consulting

A Structured Business Vocabulary provides many benefits to an enterprise. This presentation describes what a Structured Business Vocabulary looks like and how to build one so that you can capture the organisation's terminology and definitions in a single repository accessible across the organization. Graham will draw on his experience developing a taxonomically organised and inter-related dictionary of business terms for a government department. This was done to provide reusable business object definitions for future system development. The session will cover:

Providing a common language for use in data, process and object models
Defining terminology that is understandable to all stakeholders
Improved internal and external access to information
Providing a common language for business rules

Featured Speaker:

Graham Witt
Ajilon Consulting

Wednesday
31 October
14:00-15:00

DW/BI Keynote:
Building Data-Rich Service-Oriented Business Applications in a Heterogeneous Environment
Jason Bloomberg, Senior Analyst & Principal, ZapThink

In a properly architected SOA implementation, business Services represent the data and processes available to the business and the core functionality of the underlying systems. People then compose Services into Service Oriented Business Applications (SOBAs) that implement business processes or provide access to heterogeneous data sources, and many offer some combination of business process and data access. When organizations build data-rich SOBAs, they can break the ties of traditional business intelligence and business activity monitoring solutions by exposing real-time, flexible access to heterogeneous data sources, which provides far more value to the business than the static, summary data that older tools typically provide.

Join Jason Bloomberg for a discussion of SOBAs, and how they leverage SOA to provide both more agile business processes as well as real-time, flexible access to heterogeneous information across the enterprise. From this session, you can expect to:

Understand what SOBAs are, why you should build them, and what the challenges with SOBAs you will likely face
Learn how to leverage SOBAs to provide more flexible access to heterogeneous information to provide better value to the business
Get an exciting perspective on the nascent area of Enterprise Mashups, which are rich interfaces to SOBAs that leverage the capabilities of SOA for the enterprise

Featured Speaker:

Jason Bloomberg
Senior Analyst & Principal
ZapThink LLC

CONCURRENT SESSIONS

Wednesday
31 October
15:25-16:25

META DATA

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Implementing Information Management with SOA
Art Ligthart, Principal Solution Architect, Ordina

Information Management is the set of processes by which companies can collect and manage information from one or more sources, and distribute the information to relevant stakeholders. Until now, numerous individual and difficult-to-integrate technologies and tools exist to support the information management functions: BI, portals, ECM, ETL, DW, datamarts, OLAP, cockpits, datamining, OLTP, EAI, ODS, workflow, ESB, search, replication, MDM, metadata, transformation, transport etc etc. But now a new generation of integrated, serviceoriented enterprise platforms is being developed, the next generation of enterprise service busses, which offer the same information management functions, but then as a set of easy-to-integrate services. In the future, these unified SOA-platforms will be processing all forms of unstructured, semistructured and structured data across the enterprise. In this presentation an overview of this development will be given, and questions like ‘What to do with the existing tools and technologies’, ‘Is it just another solution for the same problem’, ‘does this increase the complexity?’ will be addressed..

Implementing Information Management with SOA
Service Oriented Architecture: overview and actual status
New integration platforms offer new services for information management
How to choose between existing tools and new services?

Featured Speaker:

Art Ligthart
Ordina

Wednesday
31 October
15:25-16:25

Information
Quality

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Featured Presentation
Seven Deadly Misconceptions about IQ: Implementing IQ for Business Effectiveness
Larry P. English, President, INFORMATION IMPACT International

Well-intentioned organizations are seeing their data quality initiatives fail because they are grounded in misconceptions that prevent them from achieving the maximum benefits of a sound quality management system.
In this presentation Mr. English, the Father of TIQM, will describe the seven deadly misconceptions that can ultimately sabotage your IQ initiative and cause you to lose management support for what must become a core competency (Information Quality Management) for an Information-Age enterprise to survive and thrive.

Mr. English describes the principles, processes and techniques required to successfully implement and grow your IQ function into a mature enterprise-transforming capability.

Seven Deadly Misconceptions About Information Quality
Core principles of any sound Quality Management System
Core processes of a sound IQ Management System
Culture transformation required and how to effect it
Critical success factors and successes

Featured Speaker:

Larry P English
INFORMATION IMPACT International

Wednesday
31 October
15:25-16:25

DW/BI

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CASE STUDY

Performance Management for Everybody
Kasper Damsø, Novo Nordisk
Jørgen Steines, Platon A/S

The management philosophy of N