CONFERENCE
- DAY 2
WEDNESDAY
1 November 2006 |
| 08:00–8:45 |
|
DAMA
International Meeting |
| 09:00–10:00
|
|
IQ
KEYNOTE:
MATURING FROM DATA QUALITY TO INFORMATION QUALITY
TO BUSINESS QUALITY: Keys to Enterprise Value Delivery
Larry
P English, INFORMATION IMPACT International |
| 10:00–10:30 |
|
Break & Exhibit |
| 10:30–11:30 |
META DATA |
Understanding
Your ERP System as a part of your Enterprise Information Model
Aija
Palomaki, Nokia
Peter Aiken, VCU/Data Blueprint |
| 10:30–11:30 |
Information Quality
Track 1 |
From
IT Integration through Data Quality to Information Quality
Rafal Gulan,
Senior Consultant/Project Manager, Sofrecom Polska |
| 10:30–11:30 |
Information Quality
Track 2 |
Information
Transparency Leads to Synergy at Raab Karcher
Jurgen
Broeren, Project Manager and Manager of DM Department, Raab Karcher |
| 10:30–11:30 |
DW/BI |
Leveraging
Data Integration and BI Web Services in a Service Oriented Architecture
Mike
Ferguson, Managing Director, Intelligent Business Strategies Ltd |
| 10:30–11:30 |
DAMA
Track 1 |
The
Rise and Fall of an Enterprise Semantic Model
John Schley,
Specialist, Data Administration, Nationwide and President DAMA International |
| 10:30–11:30 |
DAMA
Track 2 |
450
Data Modelers Can’t Be Wrong
Graeme
Simsion, University of Melbourne |
| 10:30–11:30 |
DAMA
Track 3 |
It’s
All About the Data!: Why the Lack of ‘Data Leadership’ is Diminishing
the Data Management Profession
Dan Paolini,
Director, Data Management Services, State of New Jersey |
 |
| 11:35–12:35
|
META DATA |
Enterprise
Information Integration on Steroids: accessing, structuring and combining
information from the Hidden Web
Justo
Hidalgo, Associate Director, R&D, Denodo Technologies |
| 11:35–12:35
|
Information Quality
Track 1 |
Developing
and Applying Data Quality Standards
Ken
Self, Master Reference Data Strategy and Development Manager, Shell |
| 11:35–12:35
|
Information Quality
Track 2 |
Minimizing
Risk in IQ Spreadsheets
Patrick
O’Beirne, Consultant, Systems Modeling Ltd. |
| 11:35–12:35
|
DW/BI |
Benefits
of Business Intelligence
David Evans, Information
Management Consultant, BT |
| 11:35–12:35
|
DAMA
Track 1 |
Semantics
in Data Modeling & ISO Standards
Bruce
Ottmann, Principal Consultant, Kalido |
| 11:35–12:35
|
DAMA
Track 2 |
Does
Web 2.0 Show Us Anything About How Enterprise Information Architectures
will Evolve
Sam Lowe,
Sector CTO, Capgemini |
| 11:35–12:35
|
DAMA
Track 3 |
Enterprise
Data Model Flavours
Steve
Hoberman, Steve Hoberman & Associates |
| 12:35–
14:00 |
|
Lunch & Exhibit |
| 13:20–13:50 |
Perspective
Session |
Track
1 - Business
Objects:
Build a Trusted Data Foundation with Enterprise Information Management,
Richard Neale, Business Objects |
| Perspective
Session |
Track
2 - Omikron Data Quality:
Finding duplicates in worldwide data: Challenges & Solutions, Carsten
Kraus, Omikron Data Quality GmbH |
| 14:00–15:00
|
META DATA |
Metadata
Repositories: Build or Buy?
Malcolm
Chisholm, President, AskGet.com |
| 14:00–15:00
|
Information Quality
Track 1 |
Information
Quality for Risk Management
Kevin Allen,
Data Architect |
| 14:00–15:00
|
Information Quality
Track 2 |
Poor
IQ Can Get You Sued: IQ Implications in Common Law
Daragh
O’Brien, Eircom and Fergal Crehan,
Self-employed Practicing Barrister |
| 14:00–15:00
|
DW/BI |
Business
Intelligence & Enterprise Information Management - Real-world Applications
Using Structured and Unstructured Data
Pieter den
Hamer, CIBIT |
| 14:00–15:00
|
DAMA
Track 1 |
The
Highs and Lows of Data Modelling in UML
Dagna
Gaythorpe, Consultant |
| 14:00–15:00
|
DAMA
Track 2 |
Data
Architecture at Barclays Bank
John
Oxton, Senior Data Architect, Barclays Bank |
| 14:00–15:00
|
DAMA
Track 3 |
Developing
Shell's Downstream Data Model: Approach and Experiences
Matthew West,
Reference Data Architecture and Standards Manager, Shell |
| 15:00–15:30 |
|
Break & Exhibit |
| 15:30–16:30 |
META DATA |
Experiences
from Architecture and Metadata work at TeliaSonera
Soren
Alsmo, Corporate Business Architect, TeliaSonero |
| 15:30–16:30 |
Information Quality
Track 1 |
Information
Quality as a Driver of Elsevier’s Single Customer View
Susan
Knight, General Manager, Data Quality and Analytics, Elsevier |
| 15:30–16:30 |
Information Quality
Track 2 |
Measuring
and Improving the Business Value of Information (and Getting Management
sponsorship)
Alan Snow,
Senior Business Intelligence Consultant, Ordina Visionworks |
| 15:30–16:30 |
DW/BI |
Integrating
Master Data Management and Data Warehousing
Mike
Ferguson, Managing Director, Intelligent Business Strategies Ltd |
| 15:30–16:30 |
DAMA
Track 1 |
Controversial
Issues in Data Modeling
Tom
Haughey, InfoModel LLC |
| 15:30–16:30 |
DAMA
Track 2 |
CDI
– Not a Technical Solution but a Powerful Business Tool
Sue Turner,
Head of Data Management Centre, Vodacom South Africa |
| 15:30–16:30 |
DAMA
Track 3 |
Partnering
With Application Development Integrating Data Development with Iterative
Design Methodologies
Katherine
Sivier, Business Analyst, IT Strategy and Planning, Caremark Information
Technology |
| 16:35–17:35 |
|
CLOSING
KEYNOTE:
BUSINESS AND IT ALIGNMENT: CAN INFORMATION MANAGEMENT
GUIDE THE WAY?
Peter
Hinssen, Porthus |
| 17:40-18:25
|
META DATA |
Meta-Data
Professional Organisation Meeting |
| Wednesday
1 November
09:00–10:00
 Back
to top
|
IQ
Keynote:
MATURING
FROM DATA QUALITY TO INFORMATION QUALITY TO BUSINESS QUALITY: Keys to
Enterprise Value Delivery
Larry
P English, INFORMATION IMPACT International
Few
organizations have the “luxury” of having their Information
Quality function driven by their top management that gives the function
an executive priority in the organization. The reality is most organizations
begin their data quality journey at the grass roots by those who feel the
pain of process failure due to defective information. And most often the
journey focuses on the data in the databases. But the real goal is business
performance excellence—not just fixing defects in databases.
In this presentation,
Mr. English describes the journey of maturing the Organization’s
Information Quality capability and with it the business results. 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.
- 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”
- Controlling processes
to “Hold the Gain”
- Moving to Certainty:
Counting the value you deliver
|
| Featured
Speaker:
|
| CONCURRENT
SESSIONS |
| Wednesday
1 November
10:30–11:30
META DATA
Back
to top |
| CASE
STUDY |
|
 |
Understanding
Your ERP System as a part of your Enterprise Information Model
Aija Palomaki,
Nokia
Peter Aiken, VCU/Data
Blueprint
So
your organization has taken the plunge and committed to the development
of an enterprise information model (EIM). A major component is the enormous
ERP system that runs many of the organizational functions. Obviously, it
has to play an important role in the EIM. The key question is - how does
one incorporate the ERP's valuable metadata into the EIM efforts? This presentation
describes the steps taken to address this question. These include determining
the physical and logical as-is ERP information components, harmonizing the
EIM structure to properly reflect the ERP, and determining what potential
impact the to-be EIM can have on the ERP system. Technologies applied include
data profiling, reverse engineering and repositories.
- The role of profiling,
reverse engineering, and repositories in the development of EIM components
- The utility of
various technologies employed
- Lessons learned
from the required metadata integration
- Non-technical
issues encountered along the way.
|
Featured
Speakers:
|
| Wednesday
1 November
10:30–11:30
Information
Quality
Track 1
Back
to top |
| CASE
STUDY |
|
|
From IT Integration through
Data Quality to Information Quality
Rafal Gulan,
Senior Consultant/Project Manager, Sofrecom Polska
This session summarises
a 3 years’ fight with an unmanaged data environment in an incumbent
fixed line telecom operator.
The presentation describes all the phases a fixed line telecom operator
has made to shorten service delivery time, increase profits and save costs.
This has been achieved through:
- Systems integration
- Data Quality fires
putting out
- Information Quality
Process implementation
- Organisational
Cultural change of the organization from single projects to common program
and standardised operations.
|
Featured
Speaker:
 |
|
Rafal
Gulan
Senior Consultant/Project Manager
Sofrecom Polska |
|
Wednesday
1 November
10:30–11:30
Information
Quality
Track 2
Back
to top |
| CASE
STUDY |
|
|
Information Transparency
Leads to Synergy at Raab Karcher
Jurgen
Broeren, Project Manager and Manager of DM Department, Raab
Karcher
Raab
Karcher grows by acquisition of competitors. In order to exploit the full
benefit and achieve synergy, RaabKarcher consolidated and improved product,
customer and supplier data. The presentation will explain how improving
the Data Quality affected the company’s efficiency, competitive edge
and bottom line results. The presentation covers the following topics:
- Business issues
– the original situation
- Finding the right
solution
- Lessons learned
- Benefits &
results
|
Featured
Speaker:
 |
|
Jurgen
Broeren
Project Manager and Manager of DM Department
Raab Karcher |
|
Wednesday
1 November
10:30–11:30
DW/BI
Back
to top |
Leveraging
Data Integration and BI Web Services in a Service Oriented Architecture
Mike
Ferguson, Managing Director, Intelligent Business Strategies
Ltd
Now
that popular Business Intelligence platforms and tools have been upgraded
to support web service interfaces, this session looks at how companies can
and are exploiting BI web services to make BI available to people in business
operations. It discusses how BI can be used to guide people in operations
to help contribute to performance targets and how BI web services can be
used in operational and performance management processes. It also looks
at how data integration and BI web services can be used to monitor business
operations and to help integrate performance management scorecards and planning
with multiple underlying BI systems
- What are BI and
data integration web services?
- How do they fit
in a service oriented architecture?
- What does it mean
for business? – opening up BI for use in business operations
- Integrating BI
with business processes, portals and applications
- Leveraging BI
without having to use BI tools
- On-demand intelligence
and recommendations
- Using data integration
and BI web services for business activity monitoring?
|
| Featured
Speaker:
 |
|
Mike
Ferguson
Managing Director
Intelligent Business Strategies Ltd |
|
| Wednesday
1 November
10:30–11:30
DAMA
Track 1
Back
to top |
| CASE
STUDY |
|
|
The Rise and Fall of
an Enterprise Semantic Model
John Schley,
Specialist, Data Administration, Nationwide and President DAMA International
Enterprise-wide
logical and conceptual data models, also called “semantic models”
have amazing power to align and focus the business, but efforts get bogged
down in the top-down vs. bottom-up debate. But without the common understanding
of the business, the enterprise continues building overlapping, conflicting
and wholly redundant systems. Developing an enterprise-wide conceptual and
logical model is the highest priority. This case study will recount the
creation of an enterprise-wide semantic model that was carried out with
speed and it will detail how initial successes turned into ultimate failure
of this worthy endeavor.
- How to combine
top-down and bottom-up
- How to integrate
semantic models into work processes
- Key success measures
and performance metrics
- What to do when
success turns to failure
|
Featured
Speaker:
 |
|
John
Schley
Specialist, Data Administration
Nationwide and President
DAMA International |
|
| Wednesday
1 November
10:30–11:30
DAMA
Track 2
Back
to top |
450
Data Modelers Can’t Be Wrong
Graeme
Simsion, University of Melbourne
Over the last four years,
Graeme Simsion has been undertaking research at the University of Melbourne,
looking at data modeling—and data modelers. Throughout, he has kept
the focus on practical issues, while maintaining a level of rigor appropriate
to academic research. The results have strong practical implications. Graeme
is uniquely placed to answer them from a background that now combines research
and practice. |
Featured
Speaker:
|
| Wednesday
1 November
10:30–11:30
DAMA
Track 3
Back
to top |
It’s
All About the Data!: Why the Lack of ‘Data Leadership’ is Diminishing
the Data Management Profession
Dan Paolini,
Director, Data Management Services, State of New Jersey
Data Administration,
Data Architecture, Data Integration, Data Management, Data Modeling, Data
Quality. What do all of these things have in common? Their first name is
“Data”, yet all are being “re-branded” with the
first name of “Information”. Our organizations want
“wisdom” – which comes from the application of experience
to knowledge. If data is not defined and managed properly, the downstream
products are suspect. Therefore, our organizations need
quality data. This presentation will discuss:
- How data professionals
are our own worst enemies.
- Why the profession
is under attack
- Other threats,
such as outsourcing and off-shoring.
- Leadership characteristics
that are required to properly balance data management against these
other factors.
|
Featured
Speaker:
 |
|
Dan
Paolini
Director, Data Management Services
State of New Jersey |
|
| CONCURRENT
SESSIONS |
| Wednesday
1 November
11:35–12:35
META DATA
Back
to top |
Enterprise
Information Integration on Steroids: accessing, structuring and combining
information from the Hidden Web
Justo Hidalgo,
Associate Director, R&D, Denodo Technologies
Real-time integration
of data from relational databases, XML files or Web Services is one of the
most important components for today's corporate data integration. While
these data sources are critical for a company to achieve a unified and multi-level
view of its information, current solutions are only solving one part of
the desired equation. EII technology has been raised to a higher level by
structuring web data accessible only after user authentication, form-filling
or link browsing in transactional web applications, and processing them
as if they were stored in a relational database.
- Why are current
data integration solutions not enough?
- The Web is so
close... but also so far...
- Denodo EII solution:
merging corporate information with web data
- Business solutions
that take advantage of advanced EII: yours
|
Featured
Speaker:
|
| Wednesday
1 November
11:35–12:35
Information
Quality
Track 1
Back
to top |
| CASE
STUDY |
|
|
Developing and Applying
Data Quality Standards
Ken Self,
Master Reference Data Strategy and Development Manager, Shell
Shell
Downstream is undertaking a global process and systems standardisation programme.
A significant part of benefits realisation is dependent on good quality
and standardised master data. Data quality standards and QA process were
developed based on established principles and applied to data migration
projects to assess and improve data quality. This presentation describes
our learnings for:
- Developing and
improving data quality standards
- Applying standards
to data cleansing projects
- Using the standards
to sustain data quality
|
Featured
Speaker:
 |
|
Ken
Self
Master Reference Data Strategy and Development Manager
Shell |
|
Wednesday
1 November
11:35–12:35
Information
Quality
Track 2
Back
to top |
Minimizing
Risk in IQ Spreadsheets
Patrick
O’Beirne, Consultant, Systems Modeling Ltd.
This
presentation describes the risk to organisations from the uncontrolled use
of spreadsheets.
- Surveys, research,
and news stories of occurrences of financial loss or embarrassment from
spreadsheet errors;
- Ways of assessing
and mitigating risk;
- Managing the spreadsheet
development process, using a maturity model;
- Advice on customer
[or] knowledge worker training, data quality control, testing, and model
audit
|
Featured
Speaker:
|
Wednesday
1 November
11:35–12:35
DW/BI
Back
to top |
| CASE
STUDY |
|
|
Benefits of Business Intelligence
David Evans,
Information Management Consultant, BT
Dave will talk the about benefits
of real time BI and predictive BI and will challenge the audience to consider
its' value in their business. Some brief case studies will demonstrate
how real time and predictive BI have improved both BT's fault management
systems and its mobile workforce management.
Consideration is also given
to the business drivers behind real time and predictive BI and the role
that data quality plays in ensuring real 'value add' to almost any organisation. |
Featured
Speaker:
|
Wednesday
1 November
11:35-12:35
DAMA
Track 1
Back
to top |
Semantics in
Data Modeling & ISO Standards
Bruce
Ottmann, Principal Consultant, Kalido
“The information
systems and interfaces often cost more than they should to build, operate
and maintain. They may also constrain the business rather than support it.
A major cause is that the quality of the data models implemented in systems
and interfaces is poor”. This finding by Shell resulted in a series
of initiatives including the development of 3 ISO standards and a prototype
software solution. Andrew Davis will explain:
- Theory behind
ISO 18876 and 15926
- How to critique
and design flexible data models
- Business approach
to data modelling
|
Featured
Speaker:
|
| Wednesday
1 November
11:35–12:35
DAMA
Track 2
Back
to top |
Does
Web 2.0 Show Us Anything About How Enterprise Information Architectures
will Evolve
Sam Lowe,
Sector CTO, Capgemini
The
emerging trends described as Web 2.0 (the patterns and models evolving in
the ‘second generation’ of the consumer internet) are being
discussed far and wide in what they will mean for the way that the public
interact with the web, with businesses and governments, and with each other.
There are parallels in the way that Service-Oriented trends are currently
affecting attitudes towards various aspects of Enterprise IT Architecture,
such as process management, applications, integration and infrastructure.
Looking at how Web 2.0 is changing the Web, and considering how SOA approaches
could play a role in similar changes, gives interesting principles to how
Information Architectures may need to evolve to improve their effectiveness
and value to the Enterprise and its employees. |
Featured
Speaker:
|
| Wednesday
1 November
11:35–12:35
DAMA
Track 3
Back
to top |
Enterprise
Data Model Flavours
Steve Hoberman,
Steve Hoberman & Associates
An
Enterprise Data Model (EDM) provides a single consistent view of an organization.
Depending on the purpose of the EDM and how much time is available towards
its construction, the EDM can take on different flavours. After working
on over 10 enterprise modeling efforts, I have come to the conclusion that
four dimensions lead to all the different flavours possible in an EDM. This
presentation will discuss these dimensions and illustrate them through actual
examples. We’ll conclude with an introspective look into what variations
are best for your organization. You will:
- Become aware of
the four dimensions which differentiate EDMs
- Understand the
choices that must be made within each dimension
- Learn which flavour
is best for your organization
|
Featured
Speaker:
|
| CONCURRENT
SESSIONS |
| Wednesday
1 November
14:00-15:00
META DATA
Back
to top |
Metadata Repositories:
Build or Buy?
Malcolm Chisholm,
President, AskGet.com
Repositories
are databases that store metadata and have specific functionality attached
to them. The question of whether they should be bought or built is often
based on the supposition that there is a finite, well-known set of metadata
that needs to be stored, which varies little from one enterprise to the
next. However, this supposition can lead to problems, such as the redundant
implementation of similar repository functionality. There are also a broad
range of general considerations about when to buy versus when to build.
This presentation examines how building versus buying can be decided based
on requirements, rather than on misunderstandings of what metadata is. Attendees
will learn the following:
- Myths about metadata
and repository design and how these affect a decision to build or buy
- Reasons to build
and reasons to buy.
- Developing use
cases for repository functionality to match to vendor products or a
development project
- Managing common
metadata without repository replication, and linking to vendor-supplied
solutions, or custom-built repository functionality.
|
Featured
Speaker:
|
| Wednesday
1 November
14:00-15:00
Information
Quality
Track 1
Back
to top |
Information
Quality for Risk Management
Kevin Allen,
Data Architect
The
presentation will look at a case study involving the work done by a Global
50 financial services company to improve information quality in support
of Enterprise Risk Management. It will follow the experience of defining
approximately 80 rules to detect quality problems with the source data,
which were ultimately condensed to around 30 and implemented. While the
focus is Risk, the discussion is equally relevant to Finance and Data Warehousing,
and will draw on common challenges such as ensuring Customer Information
Quality.
- Information Quality
for Risk Management
- Customer Information
Quality
- Specifying and
Implementing Data Rules
|
Featured
Speaker:
|
| Wednesday
1 November
14:00-15:00
Information
Quality
Track 2
Back
to top |
| CASE
STUDY |
|
|
Poor
IQ Can Get You Sued: IQ Implications in Common Law
Daragh O’Brien,
Eircom and Fergal
Crehan, Self-employed Practicing Barrister
This
presentation provides an overview of some real-world cases where poor IQ
has lead to liabilities in Common Law and highlights recent cases where
IQ principles have begun, by accident or design, to enter legal precedents.
Presentation also outlines the overlap in some legal and Information
concepts and outlines how a clear adoption of sound Information Quality
management principles can help avoid/manage liability in Common Law
- How legal requirements
and information principles overlap
- How Information
Quality Management principles and processes helps you avoid or minimize
risks of legal liability
|
Featured
Speakers:
|
Wednesday
1 November
14:00-15:00
DW/BI
Back
to top |
Business
Intelligence & Enterprise Information Management - Real-world Applications
Using Structured and Unstructured Data
Pieter den Hamer,
CIBIT
In
the last years there has been a growing tendency to combine structured and
unstructured sources for business intelligence applications. The majority
of data needed for truly complete business intelligence is spread over many
different sources, including data warehouses, document repositories, and
websites. The more organizations depend on true and complete intelligence,
the less they can ignore these heterogeneous internal and external sources.
In this session an architectural framework for BI and EIM (Enterprise Information
Management) will be discussed, including the following ‘chess pieces’:
- Data & document
warehousing
- Metadata management
- Enterprise information
integration
- Enterprise content
management & document management
- Enterprise (information)
portals
- Knowledge management
& collaboration
- Search technology
& text mining
- Topic maps and
automated classification
- OLAP for numbers
& text
- Unstructured Information
Management Architecture (UIMA)
|
|
Featured
Speaker:
|
| Wednesday
1 November
14:00-15:00
DAMA
Track 1
Back
to top |
The
Highs and Lows of Data Modelling in UML
Dagna Gaythorpe,
Consultant
UML is not designed for
data modelling. This doesn’t stop organisations wanting data models
in UML, and data modellers trying to design relational databases in a notation
that lacks the concept of identifiers. This session will cover the advantages
and impossibilities of data modelling in UML and give suggestions for alternative
approaches. Participants are invited to bring along their challenges and
successes to share during the session, and should take away some helpful
ideas. Topics include:
- What UML is for…
and what it is not
- The good and bad
news
- A brighter future?
- Exchanging problems
and ideas
|
Featured
Speaker:
|
| Wednesday
1 November
14:00-15:00
DAMA
Track 2
Back
to top |
| CASE
STUDY |
|
|
Data Architecture at Barclays
Bank
John Oxton,
Senior Data Architect, Barclays Bank
Barclays
is a federated organisation, so there will be a description of how DA can
operate in such an environment and some of the problems to be overcome.
The implementation of DA in the operational and warehouse spaces will be
discussed along with the hierarchy of models that underpin the architecture
and metadata at Barclays.
DA has a role to play in design governance, and the mechanics of the
process. This process in terms of key design directives and the dispensation
process will be described and the following topics discussed:
- Key design directives
- Implementing a
layered DA in a federated business environment
- Using DA to support
design governance
- Building a data
architecture in the data warehouse and operational world
|
Featured
Speaker:
|
| Wednesday
1 November
14:00–15:00
DAMA
Track 3
Back
to top |
| CASE
STUDY |
|
|
Developing Shell's Downstream
Data Model: Approach and Experiences
Matthew West,
Reference Data Architecture and Standards Manager, Shell
Shell in the Downstream
has been undertaking a major globalization programme. As part of this it
has made a major revision of its business processes and its Downstream Data
Model. The data model has used the ISO 15926 data model as its foundation
and has extended it to explicitly support the information requirements of
Shell's Downstream Business. The talk will cover:
- Project objectives
- Data modelling
approach
- Project management
in a creative environment
- Excerpts from
the model
- Lessons learned
|
Featured
Speaker:
 |
|
Matthew
West
Reference Data Architecture and Standards Manager
Shell |
|
| CONCURRENT
SESSIONS |
| Wednesday
1 November
15:30-16:30
META DATA
Back
to top |
| CASE
STUDY |
|
|
Experiences from Architecture
and Metadata work at TeliaSonera
Soren Alsmo,
Corporate Business Architect, TeliaSonero
TeliaSonera
is an enterprise that balances central control and standardisation with
fairly independent operations in the country organisations, aiming to get
the advantage of size without loosing the opportunities in local markets.
For long TeliaSonera has been working with concepts for Enterprise Architecture.
A major part in this is creating a consistent and understandable language
that brings the bits and pieces together – from business concepts
and requirements to implemented applications and systems. Handling metadata
is central in this effort.
The journey started
with usecases and UML to support projects and programs, got into more
complex descriptions and models for Enterprise Context with tools that
support the Zachman framework and now using tools with the user friendliness
of Powerpoint combined with advanced MetaData handling – the improvements
in tool support are significant.
Soren Alsmo’s
team is now implementing a standardised set of Products and Services on
Enterprise level that will guide and govern the local and global offerings.
During this presentation Soren will share his experiences of the multiple
approaches to MetaData handling and from this perspective describe the
challenges and rewards of Architectural work during a decade. The most
significant insight is that the struggle with compatilbility in tools
and initiatives and trying to get compromises and shared understanding
in competitive groups has learnt us that to establish Architecture the
major part is to Communicate – teach, explain, listen, coordinate,
- to enable a view that makes consistent business decisions possible from
within the organisation.
- MetaData Concepts
to enable an Enterprise View
- Tool support for
MetaData – from specialists detail to generalist’s context.
- Supporting human
limits - how can we support the “cause and effect” understanding
in architectural decisions
|
|
Featured Speaker:
|
| Wednesday
1 November
15:30-16:30
Information
Quality
Track 1
Back
to top |
| CASE
STUDY |
|
|
Information Quality as a Driver
of Elsevier’s Single Customer View
Susan Knight,
General Manager, Data Quality and Analytics, Elsevier
Elsevier faced a key
challenge in getting a single view of its customers because of a multitude
of systems and locations around the globe. This was business critical as
the value of the customer spend forms the basis of the contract for ScienceDirect,
our online product. Address data was inconsistent and of poor quality, making
it difficult to identify which records belong together to create a customer
hierarchy.
With the help of various
tools, we have been able to increase the match rate dramatically. We are
creating a “Data Quality Firewall” which is a central service
to control and cleanse the data. The value of this has helped create a
greater awareness of information quality within the company and commitment
from senior management.
Benefits include:
- Easy identification
of similar customer records
- Better structured
addresses
- Less duplication
of addresses
- More automation
in processes
|
Featured
Speaker:
 |
|
Susan
Knight
General Manager, Data Quality and Analytics
Elsevier |
|
| Wednesday
1 November
15:30-16:30
Information
Quality
Track 2
Back
to top |
Measuring and
Improving the Business Value of Information (and Getting Management sponsorship)
Alan Snow, Senior
Business Intelligence Consultant, Ordina Visionworks
This
presentation examines the relationship between 'Data Quality' as measured
within databases and 'Information Quality' measured in Business terms and
far more relevant and meaningful to Corporate Management. Once this relationship
is understood, the value of most Business Applications - especially Business
Intelligence and other information provided for decision support purposes
- can be truly evaluated. We will also discuss 'Perceptions and Interpretations'
and how they can impact the value of computer-generated Business Information.
This approach addresses hitherto un-examined aspects of measuring - and
therefore being in a position to manage - the VALUE of data and information.
- Understanding
the link between 'data' in computers and 'Information' used by humans
- When, where and
what to measure?
- Making the business
Case for Information Quality Management to Corporate Management
- Measure the data
quality, but don't forget Perception Analysis
|
Featured
Speaker:
 |
|
Alan
Snow
Senior Business Intelligence Consultant
Ordina Visionworks
|
|
Wednesday
1 November
15:30-16:30
DW/BI
Back
to top |
Integrating
Master Data Management and Data Warehousing
Mike Ferguson,
Managing Director, Intelligent Business Strategies Ltd
Master
data management (MDM) is a relatively new area of technology that is being
adopted by many companies to integrate core master data such as customer
data, product data and asset data. The question for BI professionals is
how does this impact data warehouses and data marts as well as ETL processing?
This session looks at how MDM and data warehousing systems can be integrated
to control the quality of data.
- What is MDM and
why is it different from data warehousing systems?
- Components of
a MDM solution
- Common metadata,
master data services, data integration services and data synchronisation
services
- The MDM marketplace
- How does MDM impact
on BI systems?
- Integrating MDM
and BI systems
- Version control
on dimensional data
|
Featured
Speaker:
|
|
Mike
Ferguson
Managing Director
Intelligent Business Strategies Ltd |
|
| Wednesday
1 November
15:30-16:30
DAMA
Track 1
Back
to top |
Controversial
Issues in Data Modeling
Tom Haughey,
InfoModel LLC
During
this one hour session, Tom Haughey will focus on the most controversial
issues discussed and debated by practicing data modelers including Conceptual
vs Logical vs Physical data models; modelling time and history; Data Modelling
for Packages and handling domains and codes tables and is ER modelling
dead? Also discussed are:
- Are Foreign Keys
Alien?
- Do Natural Keys
Really Exist?
- There is No Such
Thing as Dimensional Modelling?
- ROI and Justifying
Data Modelling
|
Featured
Speakers:
|
| Wednesday
1 November
15:30-16:30
DAMA
Track 2
Back
to top |
| CASE
STUDY |
|
|
CDI – Not a Technical
Solution but a Powerful Business Tool
Sue Turner,
Head of Data Management Centre, Vodacom South Africa
This
presentation will effectively cover the route taken by one of South Africa’s
major telecommunication organizations to resolve pressing business requirements
such as Government legislation and regulations, the need to segment and
profile, and the requirement to enable a single customer view with trusted
information. The presentation will also touch on the need for and the
identification of the Enterprise Data Model. The four bullet points below
will be the key topics.
- Telco Problem
- Business Value
in Resolving Problem
- How did we solve
the Problem?
- Learnings
|
Featured
Speaker:
 |
|
Sue
Turner
Head of Data Management Centre
Vodacom South Africa |
|
| Wednesday
1 November
15:30-16:30
DAMA
Track 3
|
