CONFERENCE
- DAY 2
WEDNESDAY, 5 November 2008 |
| 08:00–08:45 |
DAMA
International Meeting |
| 09:00–10:00
|
INFORMATION QUALITY
KEYNOTE:
Grounding
IQ Management in Sound Quality Management Systems
Larry
P English, President, INFORMATION IMPACT Internationals |
| 10:00–10:30 |
Break and Exhibits |
| 10:30–11:30
|
META DATA |
Adding
Business Metadata to Technical Metadata
Bob Schork, Team Leader,
Citi |
| 10:30–11:30
|
Information Quality
Track 1 |
Summary
of the Global Data Excellence Framework (GDE-F WeA-9.0)
Walid el Abed, CEO &
Founder, Global Data Excellence |
| 10:30–11:30 |
Information Quality
Track 2 |
Data
Quality Management: Business Sustainability
Yagan Padayachee, Head-Client
Information Systems Unit, Nedbank |
| 10:30–11:30 |
DW/BI |
How
does Enterprise Data Management Relate to Data Warehousing?
Lance Miller, VP Global
Services Marketing, Teradata |
| 10:30–11:30 |
DAMA
Track 1 |
Star
Schema vs Snowflake
Tom Haughey, President,
InfoModel LLC |
| 10:30–11:30 |
DAMA
Track 2 |
4
Dimensional Data Modelling: An Ontological Approach
Dr. Matthew West, Principal
Consultant, Information Logic |
| 10:30–11:30 |
DAMA
Track 3 |
A
Case Study on Implementing Data Architecture in a Financial Services Company
John
Schley, Data Architect, Principal Financial Group |
 |
| 11:35–12:35
|
META DATA |
Ubiquitous
Data Governance
Gwen Thomas, President,
Data Governance Institute |
| 11:35–12:35
|
Information Quality
Track 1 |
Redefining
the Information Quality Management Challenge
Daragh O Brien , IAIDQ |
| 11:35–12:35 |
Information Quality
Track 2 |
Nectar
Card Case Study: Maintaining Customer Loyalty through Data Quality and Data
Management Policies
Andrew Bridges, Data Quality
& Supplier Managerr, Loyalty Management Group |
| 11:35–12:35 |
DW/BI |
Adventures
in Enterprise Warehousing
Jason Perkins, BI
Solution Architect, British Telecom
Will O’Shea, Technical
Design Architect, NHS, Connecting for Health |
| 11:35–12:35 |
DAMA
Track 1 |
Data
Modeling & OWL: Two Ways to Structure Data
David Hay, President, Essential
Strategies |
| 11:35–12:35 |
DAMA
Track 2 |
Data
Profiling Gains Respect at McDonald’s
Sandy Georgas-Gait,
Data Warehouse Data Architect, McDonald’s Corporation |
| 11:35–12:35 |
DAMA
Track 3 |
Building
On-demand Information Services using Data Integration Tools
Mike
Ferguson, Managing Director, Intelligent Business Strategies Ltd |
| 12:05–
14:00 |
|
Lunch and Exhibits |
| 13:20–13:50 |
Perspective
Session |
Session
1 - IBM:
Is
your information accurate, complete, in context, insightful .... how can
you trust your information?
Doug
Coombs, IBM Information Strategist, IBM
Corporation |
| Perspective
Session |
Session
2 - Denodo:
Mighty
Data Mashups – Integrate external/internet data with internal data
and do so with surprising ease and short time...
Marco
Bussadori, Denodo |
| 14:00–15:00 |
DAMA
KEYNOTE:
No-Tech
Hacking
Johnny
Long, Professional Hacker, Security Researcher & Author |
| 15:00–15:30 |
Break and Exhibits |
| 15:30–16:30
|
META DATA |
Using
Meta Data to Transform Data into Information
Janine Joseph, Manager
Business Intelligence, Target Corporation |
| 15:30–16:30 |
Information Quality
Track 1 |
ISO
8000, Standards for Data and Information
Dr. Matthew West, Principal
Consultant, Information Logic |
| 15:30–16:30 |
Information Quality
Track 2 |
Information
Quality and the Economic Value of Data
Dr. Leticia Pagan, Polytechnic
University of Puerto Rico |
| 15:30–16:30 |
DW/BI |
Global
Data Warehousing - A Happy Deal of Success for McDonald’s
Sandy Georgas-Gait,
Data Warehouse Data Architect, McDonald’s Corporation |
| 15:30–16:30 |
DAMA
Track 1 |
Categorizing
Information Needs Into Architecture
Robert Barnfather,
Principal Consultant, Oakton Services |
| 15:30–16:30
|
DAMA
Track 2 |
Mapping
the Data Landscape and Source Data Analysis
Malcolm Chisholm, President, Askget.com,
Inc. |
| 15:30–16:30 |
DAMA
Track 3 |
Data
Modelling in the Era of the Object Relational Database
Keith Gordon, Independent
Consultant, Gordon Blain Associates |
|
| 16:30–17:30 |
META DATA |
Managing
the Enterprise Information Model
Victor Schneider,
Information Architect, IKEA |
| 16:30–17:30 |
Information Quality
Track 1 |
Event
Management Overview: Controlling Data Movement
Andres Perez , President,
IRM Consulting |
| 16:30–17:30 |
Information Quality
Track 2 |
Managing
Data: Urgency Leads To Quality Improvement
Arjen de Graaf, Managing
Director, ARVIX |
| 16:30–17:30 |
DW/BI |
Five
Things Your Leader Must Know About You and Your Program
Gwen Thomas, President,
Data Governance Institute |
| 16:30–17:30 |
DAMA
Track 1 |
BPMN
For Dummies
Christopher Bradley, Business Consulting
Manager, IPL |
| 16:30–17:30 |
DAMA
Track 2 |
Ontology-led
Metadata Management
Godfrey Rust, Chief Data
Architect, Rightscom Ltd
|
| 16:30–17:30 |
DAMA
Track 3 |
Unified
Integration Architecture for Intelligence Data
Suzanne Yoakum-Stover,
PhD, Senior Research
Fellow, Potomac Institute for Policy Studies & Lead Scientist, US Army
CERDEC I2WD Information Exploitation Futures Lab |
| 17:30–18:15 |
Meta-Data
Professional Organisation Meeting |
| |
| Wednesday
5 November
09:00–10:00
Information
Quality
 Back
to top
|
INFORMATION
QUALITY Keynote:
Grounding IQ
Management in Sound Quality Management Systems
Larry P English,
President, INFORMATION IMPACT International
If
we are to develop sustainable Information Quality Management practices in
organizations, we must ground IQ Management principles, processes and techniques
in the sound Quality Management Systems proven by implementation in the
Industrial Age. Information Quality Management is an extension of Quality
Management—not data management. The techniques for identifying information
defect root cause, error-proofing information processes, identifying knowledge
worker quality requirements, controlling information processes come from
Quality Management—not data management. Therefore we must study Deming,
Juran, Crosby, Imai (Kaizen), Taguchi, Shewhart, Ishikawa, the Baldrige
Criteria, and ISO 9000-2000 to learn the foundations for Information Quality
Management.
- What IQ is and
is NOT
- The Principles
of Quality Management
- Processes of Quality
Management
- Quality Management
techniques for IQ
- How manufacturing
quality management principles apply to the intangible information production
processes
|
Featured
Speaker:
|
| CONCURRENT
SESSIONS |
| Wednesday
5 November
10:30–11:30
META DATA
Back
to top |
| CASE
STUDY |
|
 |
Adding Business
Metadata to Technical Metadata
Bob Schork, Team Leader,
Citi
How
do you capture and integrate your Business Metadata (Business Terms, Business
Ownership and Data Stewardship) into the Technical information that is already
captured in your ETL Metadata Repository? At what Level do those Business
metadata elements get associated to the Technical and Operational Metadata?
How about information that is outside of the ETL world; how do you integrate
that metadata. And how about Business Terms or Business Data Assets; does
one description fit your enterprise? Now, once these issues have been resolved,
who is going to load/update it on an ongoing basis? And don’t forget
the ever growing demands for compliance and business decision support system
information. See how Citi's Center of Technical Excellence (CTE) group within
the Enterprise-wide Citi Architecture and Technology Engineering (CATE)
organization, used an extended ETL Metadata Repository to create an Enterprise-wide
Metadata Repository. Complete with Business terms, Grouping, Data Models
and Databases, Data Governance (Business Ownership and Data Stewardship)
workflow process and approvals, as well as Source to Target traceability
of Metadata Elements, auditing aspects for compliance issues. |
Featured
Speaker:
|
| Wednesday
5 November
10:30–11:30
Information
Quality
Track 1
Back
to top |
Summary
of the Global Data Excellence Framework (GDE-F WeA-9.0)
Walid el Abed, CEO &
Founder, Global Data Excellence
The
objective of the session is to present a unified practical and executable
framework enabling to measure the ‘as is’ and monitor the evolution
of data quality in global corporations in order to strive for Data excellence
and maximize business performance. You will hear about:
- The vision and
the mission of the Data Excellence Framework (DEF) including a data
excellence maturity roadmap.
- How to leverage
the Data Excellence Framework (DEF) to facilitate the transition into
a proactive organization and prepare the data management predictive
stage.
- The six dimensions
of data quality in the DEF based on business rules.
- The business rules
that support business processes and enable business performance
- How to calculate
and publish KPIs and anomaly reports enabling an increasing degree of
data governance
- And Finally how
to achieve business excellence and generate value through the governance
of the critical business rules.
|
Featured
Speaker:
|
| Wednesday
5 November
10:30–11:30
Information
Quality
Track 2
Back
to top |
| CASE
STUDY |
|
|
Data Quality Management:
Business Sustainability
Yagan Padayachee,
Head-Client Information Systems Unit, Nedbank
The realisation that
Data is an asset that can add tremendous value, comes with it's own dilemma.
The fact that we had concentrated previous efforts on quantity, rather than
quality, leaves us in a predicament that can only be resolved by longer-term
solutions. Using the knowledge we have gained over the many years; providing
the business with a tool/s to monitor and track quality of client information
has become key in achieving business sustainability goals.
- Data Quality and
the measurement thereof
- Data Quality Change
Management
- Data Quality –
Way of Life
|
Featured
Speaker:
|
Wednesday
5 November
10:30–11:30
DW/BI
Back
to top |
How
does Enterprise Data Management Relate to Data Warehousing?
Lance Miller, VP Global
Services Marketing, Teradata
Corporate
data has been evolving for years – from simple, disparate data collections
to multiple, corporate repositories, from enterprise data warehouses to
an umbrella of tools encompassing Enterprise Data Management. A guiding
principle of EDM is that a successful business must have an integrated,
enterprise view of data that is consistent across the organization. The
value of integrated data to the business is based on key architectural and
data concepts. An EDM approach integrates a number of concepts derived from
years of data warehousing excellence into a comprehensive framework consisting
of the important data management principles and the supporting people, processes
and technology necessary for the data to remain a high-value asset across
the enterprise. The concepts include: governance/stewardship, metadata,
quality, integration, security, privacy, master data management, data access,
and data modeling. Enterprise
data warehouse (EDW) solutions drive value in a company by providing better
decision-making capabilities based on an organization-wide view of the
business. Yet the value of any EDW is dependent on the quality and management
of the information it contains. The ideal vision is that business decisions,
strategy, and operations are driven completely by the data warehouse.
Teradata has taken a proactive approach to data management with enterprise
data management (EDM) enabled by data warehouse services supporting the
enterprise. Enterprises that implement an enterprise wide data management
program will reap a number of benefits. In broad terms, the benefits accrue
in two main categories: 1) Process simplification and operational efficiency
and 2) Enterprise agility. |
Featured
Speaker:
|
| Wednesday
5 November
10:30–11:30
DAMA
Track 1
Back
to top |
Star Schema vs Snowflake
Tom Haughey, President,
InfoModel LLC
This
presentation will discuss 7 reasons for which using a snowflake design is
not just permissible but necessary. It will review the design factors to
consider and will discuss 5 different ways to implement snowflaking. In
addition, it will review a practical method for testing these alternatives
in making this decision. This is actually a more pivotal question than many
people realize. In leaving this session, the audience will have a good understanding
of the situations where a modeler must deviate from the star schema, when,
why and how to do it. |
Featured
Speaker:
|
| Wednesday
5 November
10:30–11:30
DAMA
Track 2
Back
to top |
4
Dimensional Data Modelling: An Ontological Approach
Dr. Matthew West, Principal
Consultant, Information Logic
Data
models can either be developed by analyzing and normalizing the data, or
by identifying the things that data is about. Here we take the latter approach.
One of the biggest problems with data models is managing change over time.
A 4-dimensional approach builds change into the way the analysis is done,
and provides a consistent approach to managing change. This talk will introduce
4-dimensional analysis, introducing novel analysis techniques that can significantly
increase the speed and accuracy of data model development.
- What are the common
causes of problems in data models?
- An introduction
to 4-dimensionalism
- Space-time diagrams
as an aid to analysis
- Modeling change
- Modeling roles
|
Featured
Speaker:
|
| Wednesday
5 November
10:30–11:30
DAMA
Track 3
Back
to top |
| CASE
STUDY |
|
|
A Case Study on Implementing Data
Architecture in a Financial Services Company
John Schley, Data Architect,
Principal Financial Group
Data
Architecture can mean vastly different things to different people. To some
it means understanding the physical structure of the data, while to others
it encompasses the whole of enterprise information management. This
case study will show how one area within Principal Financial Group is
approaching Data Architecture—as the set of tasks needed to manage
the corporation’s data assets in order to improve their usability,
availability, quality, consistency, security and overall stewardship,
all within a framework of data governance. The presentation will introduce
the artifacts we’ve defined for each of these components and built
into the project lifecycle. The presentation will conclude with an evaluation
of how the Data Architecture program is succeeding so far and a list of
tips and lessons learned. |
Featured
Speaker:
|
| CONCURRENT
SESSIONS |
| Wednesday
5 November
11:35–12:35
META DATA
Back
to top |
Ubiquitous
Data Governance
Gwen Thomas, President,
Data Governance Institute
There’s
no such thing as a data-related effort that has no data governance. After
all, anarchy is a form of governance! So are dictatorships, as well as simply
letting managers make all the decisions. When teams say they don’t
have data governance, what they really have are informal and unacknowledged
models. Over
the next two years, predicts the Data Governance Institute, this will
change at an ever-accelerating pace. Pushed by compliance drivers and
educated by leadership programs as well as the media, savvy organisational
leaders will insist on distinguishing between strategy, management, architecture,
and governance. They’ll begin to require the same rigor for data
governance as they do for technologies, applications, and processes. It
won’t be enough that good managers achieve objectives; they’ll
demand to know whether the right data stakeholders were involved in setting
those objectives.
What this means for
you – whether you’re involved in projects, programs, or ongoing
processes – is that you should be ready to describe your data governance
model, or be prepared to have a governance model thrust upon you. |
Featured
Speaker:
|
| Wednesday
5 November
11:35–12:35
Information
Quality
Track 1
Back
to top |
Redefining
the Information Quality Management Challenge
Daragh O Brien, IAIDQ
This
presentation applies five years of examining Information Quality as a management
challenge (irrespective of Business/IT divide). This presentation looks
at the drivers for information quality, presents Information Quality as
a management challenge and examines the influence of new trends, technologies
and emerging regulations on how we might reframe the Information Quality
challenge (particularly in light of the emergence of Information/Data Governance
as potentially distinct ‘buzzwords’. The revisiting of this
presentation has been prompted by positive feedback received this year from
other leading presenters in the field. |
Featured
Speaker:
|
| Wednesday
5 November
11:35–12:35
Information
Quality
Track 2
Back
to top |
| CASE
STUDY |
|
|
Nectar
Card Case Study: Maintaining Customer Loyalty through Data Quality and Data
Management Policies
Andrew Bridges,
Data Quality & Supplier Manager, Loyalty Management Group
The
presentation focuses on the data management techniques we apply to maintain
customer loyalty throughout the business.
- Basic philosophy
on data
- Registration and
the collection of data
- Data quality and
management techniques
- The future of
direct marketing and the challenges
|
Featured
Speaker:
 |
|
Andrew
Bridges
Data Quality & Supplier Manager
Loyalty Management Group |
|
Wednesday
5 November
11:35–12:35
DW/BI
Back
to top |
| CASE
STUDY |
|
|
Adventures in Enterprise
Warehousing
Jason Perkins, BI Solution
Architect, British Telecom
Will O’Shea, Technical
Design Architect, NHS, Connecting for Health
This
session will take you on an exciting journey through the mysteries of Enterprise
Data warehousing. Using a case study from an EDW program delivering the
largest Health BI platform in the world, targeted at 25K users and a planned
size of over 100Tb. This joint presentation provides insight from both a
business and an IT viewpoint. It will examine the challenges and lessons
learnt along the way.
- Choosing a Data
Warehouse Architecture?
- ETL Strategy and
Modelling.
- Exploitation Approach
– Visualisation and Usability.
- System Management
and the Security Layers in the EDW
- Technical Architecture
that Underpins EDW.
|
Featured
Speakers:
|
| Wednesday
5 November
11:35–12:35
DAMA
Track 1
Back
to top |
Data Modeling &
OWL: Two Ways to Structure Data
David Hay, President, Essential
Strategies
The
world of data modeling and database design has developed over nearly 40
years within the information technology industry. The world of semantics
and ontologies has developed over about 2500 years within the worlds of
philosophy, linguistics, and more recently, artificial intelligence. In
recent years, however, businesses have become painfully aware that misunderstandings
of word meanings between departments (and between systems) are the source
of a large number of their problems. Developing a single "ontology"
or glossary, for the business has become a significant task for many. This
calls for bringing the worlds of data modeling and database design together
with the worlds of semantics and ontologies.
This presentation is an attempt to take the first steps towards doing
that. The presentation will describe data modeling in its various forms
and use an example to show the relationships between its concepts and
those of the ontology languages RDF and OWL.
Covered will be:
- Relationships
between entity classes and OWL classes
- Attributes and
data type properties
- Taxonomies and
alternative classification approaches
- Similarities and
fundamental differences between the two approaches
|
Featured
Speaker:
|
| Wednesday
5 November
11:35–12:35
DAMA
Track 2
Back
to top |
| CASE
STUDY |
|
|
Data Profiling Gains
Respect at McDonald’s
Sandy Georgas-Gait,
Data Warehouse Data Architect, McDonald’s Corporation
Data
Profiling is not just a data quality tool, but also a data architecture
tool. I have learned how to use data profiling to write metadata, design
databases including data warehouses, develop data mapping documents, understand
the databases I inherit, and to reduce the time I need to develop these
artifacts. This presentation will explain how to profile your data and apply
this knowledge to database design, and not just to data quality analysis.
This presentation covers:
- Applying Data
Profiling to metadata development
- Applying Data
Profiling to database design
- Applying Data
Profiling to data conversions and data mappings
- Applying Data
Profiling to interpreting inherited databases including packages
- Making the boss
and project manager happy by reducing time
|
Featured
Speaker:
|
| Wednesday
5 November
11:35–12:35
DAMA
Track 3
Back
to top |
Building On-demand Information
Services using Data Integration Tools
Mike Ferguson, Managing
Director, Intelligent Business Strategies Ltd
As
companies move towards enterprise service oriented architecture (SOA), they
find themselves deploying new ‘composite’ applications that
bring together services from multiple underlying applications to perform
specific process activities. However the problem that arises in these modern
deployments is that companies are finding that the information needed to
perform each specific process activity is not necessarily integrated and
not all in one place. What companies are realising therefore is that composite
applications need access to ‘information services’ for on-demand
integration of data required for the process activity. This session will
explore:
- Why we need information
services
- Composite applications
and information services
- Technologies for
development of information services
- Building on-demand
information services using data integration tools
- Integrating with
ESB, process management, portals, and wikis
|
Featured
Speaker:
 |
|
Mike
Ferguson
Managing Director
Intelligent Business Strategies Ltd |
|
| |
Wednesday
5 November
13:20–13:50 |
Perspective Session 1 - IBM: Is your information
accurate, complete, in context, insightful .... how can you trust your
information?
Doug
Coombs, IBM
Information Strategist, IBM Corporation
Trusted
information enables innovation. Very simply, if the IT department can deliver
accurate and complete information in context for a business user then they
will be able to make the right analysis to draw out true business insights.
Organisations recognise the need information to be accurate, complete, in
context, and insightful in order for it to be considered “trusted”.
Achieving these elusive results across the enterprise requires a focus on
the information infrastructure, it needs an Information Agenda. |
Featured
Speaker:
|
 |
|
Perspective Session 2 -
Denodo:
Mighty Data Mashups –
Integrate external/internet data with internal data and do so with surprising
ease and short time...
Marco Bussadori, Denodo
Modern data-driven enterprises
face immense challenges. To remain competitive they must look for ways to
capitalize on the value of data stored in locations other than traditional
structured database systems. Valuable data is stored in containers as small
as excel spreadsheets and log files, as unstructured as flat files and emails,
as external as SaaS, Web feeds or partner applications, or as big, distributed
and uncontrolled as the Internet. Furthermore, in order to respond to the
dynamic nature of business, business executives are challenging IT to deliver
data services to applications on timelines much shorter than would be possible
with traditional back-end or middleware integration projects. These challenges
combined create a disruptive scenario for traditional data integration projects.
Data mashups are a mighty technology innovation that is at once broad in
data integration reach, innovative in normalizing information across disparate
sources, and agile in delivering practical benefits in a timely cost-effective
manner. It is a perfect complement to ETL/Data Warehouse and SOA based integration
infrastructures, extending data visibility to more internal, partner and
public Web data sources in a way that makes them consumable by enterprise
systems and empowering to business users. In this session, Denodo will illustrate
practical examples of how information and data professionals in leading
companies have used data mashups to deliver outstanding integration results
when faced with tough challenges. |
Featured
Speaker:
|
| |
| Wednesday
5 November
14:00-15:00
DAMA
Back
to top |
DAMA
Keynote:
No-Tech
Hacking
Johnny
Long, Professional Hacker, Security Researcher & Author
Based
on the book No-Tech Hacking, this presentation shows life through the eyes
of today's hacker. Johnny will show what kinds of tactics a hacker will
employ and the perspective they have that allows them to stay one step ahead
of the good guys. He'll focus on the hacker mind, showing in a compelling
way the mindset that must be adopted when it comes to protecting (or violating)
assets, resources and information.
He will show how easy it is to break into buildings, access corporate
networks, perform identity theft, steal data and more, all without complicated
equipment and tools, focusing instead on manipulating the human elements
of trust following the path of least security resistance.
Packed with
tons of photos and videos, this talk presents real-world situations, applying
the true hacker mindset to each one. He'll warn you though, while you're
laughing yourself silly at some of these examples, you may never see the
world the same way again. |
Featured
Speaker:
 |
|
Johnny
Long
Professional Hacker, Security Researcher & Author |
|
| CONCURRENT
SESSIONS |
| Wednesday
5 November
15:30-16:30
META DATA
Back
to top |
| CASE
STUDY |
|
|
Using Meta Data to Transform Data into
Information
Janine Joseph, Manager
Business Intelligence, Target Corporation
The job of transforming
data into information belongs to meta data. Meta data allows the creation
of business intelligence and actionable reporting at an enterprise level.
Learn how to create a repository that won the 2008 Wilshire Award for outstanding
metadata implementation. We will review how to build an enterprise-wide
governance program that supports, promotes and enables a robust metadata
community. An integral part of the enterprise governance program is the
adoption of a multi-tiered stewardship discipline surrounding both the data
warehouse and the metadata repository. Learn implementation strategies for
your organization by understanding these efforts, how they were made successful
and how to discuss these disciplines with your data warehouse and the metadata
repository teams.
Topics covered will include phased approach to meta data,
customer focus, business vs. technical meta data, passive vs. active meta
data, governance and stewardship support and usage, marketing and promotion,
interconnected success, ROI and other measurements of success, meta data
lifecycle, time sensitive meta data, change management protocols. We will
discuss how meta data can become an integral part of every step of the
data warehousing project, how to make it successful, and the lessons learned
along the way.
|
Featured
Speaker:
|
| Wednesday
5 November
15:30-16:30
Information
Quality
Track 1
Back
to top |
ISO
8000, Standards for Data and Information
Dr. Matthew West, Principal
Consultant, Information Logic
ISO
8000 is a series of standards being developed to support data and information
quality. The talk will describe the current content and status of the series
of standards, the development process, and how you can become involved in
developing or using them. |
Featured
Speaker:
|
| Wednesday
5 November
15:30-16:30
Information
Quality
Track 2
Back
to top |
Information Quality
and the Economic Value of Data
Dr. Leticia Pagan, Polytechnic
University of Puerto Rico
This
presentation establishes a framework to determine the criteria for Information
Quality including characteristics and attributes that need to be considered
in the design of Data Base Management Systems and to provide information
consumers with useful, accurate and reliable information for reporting and
decision making purposes. It proposes a model to establish an economic measurement
value for data, taking into consideration the DQ Framework and the Financial
Accounting Framework in order to provide information consumers and managers
with valuable data, information, and knowledge to use efficiently and effectively
in the decision making process.
- Information Quality
(IQ) qualities / characteristics
- Non-Financial
Data (Management Information Systems (MIS)
- How to measure
the Economic Value of Data (EVD)
|
Featured
Speaker:
|
Wednesday
5 November
15:30-16:30
DW/BI
Back
to top |
| CASE
STUDY |
|
|
Global Data Warehousing
- A Happy Deal of Success for McDonald’s
Sandy Georgas-Gait,
Data Warehouse Data Architect, McDonald’s Corporation
McDonald’s
stock price fell to $12 a share. The company responded by developing a radically
new business strategy, and at the center was a plan to build a global data
warehouse. Although there were many obstacles to overcome, McDonald’s
succeeded in building a global data warehouse, with data and users from
47 countries and which was instrumental in the company turn-around. In this
session we will cover:
- The business change,
and how it warranted a global data warehouse
- The obstacles
and challenges faced, and how each was overcome
- The architecture
of the global data warehouse and the reporting capabilities delivered
- The results
- What made this
effort a success and the insights gained in the process
|
Featured
Speaker:
|
| Wednesday
5 November
15:30-16:30
DAMA
Track 1
Back
to top |
Categorizing Information
Needs Into Architecture
Robert
Barnfather, Principal Consultant, Oakton Services
What
is information? The main idea is that information supports decision making.
Understand the decisions and you understand more about the information needs
and therefore how to manage and deliver the data as information. The aim
of the presentation is to help the audience understand the concept of categorizing
information needs in order to build information architecture. The presentation
takes a user perspective of information needs and provides an approach for
overlaying the needs onto an organization’s information architecture.
- Reconsidering
the information construct
- Defining your
information delivery architecture
- Categorizing your
information needs
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Featured
Speaker:
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| Wednesday
5 November
15:30-16:30
DAMA
Track 2
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to top |
Mapping
the Data Landscape and Source Data Analysis
Malcolm Chisholm, President,
Askget.com, Inc.
The
production data landscape of most enterprises is rarely known to any great
extent. However, the imperative to integrate data that has grown so rapidly
in the past few years means that the data landscape can no longer be ignored.
This presentation describes the concepts involved in the data landscape
with special emphasis on source data analysis (SDA). Attendees will learn:
- What the data
landscape is, what source data analysis is, and why both are important.
- The relative contributions
that can be made by human based analysis and tools-based data discovery.
- Metadata management
and organization of analytical activities to support data cartography.
- The return on
investment from data cartography and source data analysis.
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Featured
Speaker:
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| Wednesday
5 November
15:30-16:30
DAMA
Track 3
Back
to top |
Data
Modelling in the Era of the Object Relational Database
Keith Gordon, Independent Consultant, Gordon Blain Associates
Why
do we model data? Is the Entity-Relationship model fit for purpose? How
is data modelling impacted by the introduction of object-relational features
into SQL. The constructs and techniques used to develop an Entity-Relationship
model are predicated on the relational model of data and vendors are now
providing database management systems with so-called ‘object-relational’
features. This presentation will look at these features and discuss how
these features impact database development and data modelling. The presentation
will cover:
- Capturing business
information requirements
- Influencing database
design
- The 'object-relational'
features of SQL.
- The impact of
the SQL 'object-relational' features on data modelling.
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Featured
Speaker:
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| CONCURRENT
SESSIONS |
| Wednesday
5 November
16:30-17:30
META DATA
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| CASE
STUDY |
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|
Managing the Enterprise
Information Model
Victor Schneider,
Information Architect, IKEA
Information
is a core asset for IKEA. It reflects the business idea and the unique competence
developed during a long period of time. Now we take a big step forward and
take care of all common data definitions and all information models for
the whole company, clarifying names, associations, ownership, and responsibility
by putting them into one common meta data repository as a single source.
Working with a common modelling tool that supports all types of business
models and publishing the content in our Intranet gives us the possibility
to make all information available to all stakeholders thus improving co-operation
and working systematically with quality assurance and supporting the change
management process with impact analysis. |
Featured
Speaker:
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| Wednesday
5 November
16:30-17:30
Information
Quality
Track 1
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to top |
Event
Management Overview: Controlling Data Movement
Andres Perez,
President, IRM Consulting
A
whole industry segment (“certified” by research firms such as
Gartner with its “magic quadrant”) has developed around data
movement; and is known as “data integration.” Products in this
market segment frequently provide means to controlling the software (scripts,
etc.) but fail to provide support for information controls
to help preserve information quality. Event Management
is a technique to improve the audit-ability and control of data movement
processes. It increases the transparency of data movement processes, reduces
the deficiencies of data correction efforts and increases the effectiveness
of improvement efforts by providing data about information defects and process
failures.
This session provides an overview of Event Management:
- Describes the
benefits and impact of using Event Management
- Describes the
principles for controlled data movement
- Describes the
approach to implement controlled data movement
- Describes how
to apply data warehousing and other “data integration” methods
with operational design concepts to keep information stewards informed
of information defects encountered during the movement of information
they are interested in using or responsible for its upkeep
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Featured
Speaker:
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| Wednesday
5 November
16:30-17:30
Information
Quality
Track 2
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to top |
Managing
Data: Urgency Leads To Quality Improvement
Arjen de Graaf, Managing
Director, ARVIX
Managing
data quality necessitates organisational changes, data quality measurement,
the design of business processes, the use and improvement of ICT and a comprehensive
meta description of the data. It focuses on tracking down deficiencies in
processes, the organisation of data gathering, changes to data over time
and possibly the investigation of incorrect information that has been deliberately
supplied.
Managing data quality is only an option if there is urgency for it in
the ‘business’. Managing data quality is important for the
operating results and therefore also for the competitive position of the
company.
We will elaborate
on these points, provide insight in and give examples of this approach. |
Featured
Speaker:
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Wednesday
5 November
16:30-17:30
DW/BI
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Five
Things Your Leader Must Know About You and Your Program
Gwen Thomas, President,
Data Governance Institute
When
we work with data, even senior people spend time with details. After all,
we know that our organisation’s capabilities can be impacted for years
to come by “detail-level” decisions made by metadata groups,
data warehouse teams, and data governance councils. What
we tend to forget is that our organisation’s leaders have trained
themselves to look away from all details except the ones that are bubbled
up to them. These leaders’ support are critical to your ongoing
success: they are the same people who make final decisions about your
resource budgets, your ability to purchase software, your access to decision-makers
in other silos, and even your ability to get the right people to the table
to make decisions with cross-functional impact.
Chances are, they’re
not really sure what you do, or how. You might even be a “black
box” into which they pour money and hope to get something of value
out of. But it doesn’t have to be that way. Gwen Thomas, President
of the Data Governance Institute, will take you through the Five Things
Your Leader Must Know About You and Your Program, and give share tips
for moving your group out of “black box” status and into that
of trusted and valued resource. |
Featured
Speaker:
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