Tuesday
4 November
08:00–08:45
| CONFERENCE
- DAY 1 TUESDAY, 4 November 2008 |
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| 08:00–09:00 | Registration | |
| 08:00–8:45 | International Association for Information and Data Quality (IAIDQ) Meeting | |
| 09:00–09:30 | Joint
Chair Introduction: Rick van der Lans, R20 Consultancy Larry P English, President, INFORMATION IMPACT International John Schley, DAMA International |
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| 09:30–10:30 |
META
DATA KEYNOTE: |
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| 10:30–11:00 | Break and Exhibits | |
| 11:00–12:00 |
META DATA | Redefining
Meta Data Steve Hoberman, Data Modeller, Steve Hoberman & Associates |
| 11:00–12:00 |
Information Quality |
Implementing
a Data Quality Firewall |
| 11:00–12:00 | Information Quality Track 2 |
A
UK Local Government Perspective on How to Improve The Management and Quality
of your Customer Data Tony Ellis, Head of ICT, London Borough of Brent |
| 11:00–12:00 | DW/BI | Hi-Speed
Databases Jos van Dongen, Senior Consultant, Tholis Consulting |
| 11:00–12:00 | DAMA Track 1 |
Data
Management Implementation in the UK Utilities Retail Environment |
| 11:00–12:00 |
DAMA |
The
Hand Is Quicker than the Eye: The Cost of Compromised Information and
How to Protect Against it |
| 11:00–12:00 | DAMA Track 3 |
A
Methodology for Migrating Legacy Data Graham Witt, Lead Consultant, Ajilon |
| 12:00– 13:30 | Lunch and Exhibits | |
| 12:50–13:20 | Perspective Session | Session
1 - DataFlux: |
| Perspective Session | Session
2 - Business
Objects: Data Quality - Enabling better Business Intelligence Richard Neale, Product Marketing Director, Business Objects |
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| 13:30–14:30 | DW/BI
KEYNOTE: The Data Warehouse is Dead, Long Live the Virtual Data Warehouse Rick van der Lans, R20/Consultancy |
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| 14:35–15:35 |
META DATA |
Putting
Structured Business Vocabularies to Work |
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14:35–15:35 |
Information Quality |
How
to Maximize Benefits from Quality Assessment Milan Kucera, Certified TIQM Consultant, Data to Information |
| 14:35–15:35 | Information Quality Track 2 |
Challenges
in Matching International Customer Data Carsten Kraus, CEO, Omikron Data Quality GmbH |
| 14:35–15:35 | DW/BI | Using
Information Management to Sustain Data Warehouse John Ladley, President, IMCue Solutions |
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14:35–15:35 |
DAMA |
Zachman
Enterprise Framework 2™ |
| 14:35–15:35 | DAMA Track 2 |
Managing
Master Data, A Case Study |
| 14:35–15:35 | DAMA Track 3 |
Application
of the DAMA DMBoK in an Enterprise Data Architecture Glenn Thomas, Director Data Architecture, Kentucky Government |
| 15:35–16:05 | Break and Exhibits | |
| 16:05–17:05 | META DATA | Data
Governance for Business Leaders |
| 16:05–17:05 | Information Quality Track 1 |
Banker
IQ: Approaching Information Quality in CDI Solution |
| 16:05–17:05 | Information Quality Track 2 |
Simple
Data Stewardship in a Complex Organization Neil Harvey, Commercialization Manager, JohnsonDiversey Chris Maynard, Consultant, Transforming Information |
| 16:05–17:05 | DW/BI | Business
Insight is the Next Iteration of BI Barry Devlin, Founder and Principal, 9sight Consulting |
| 16:05–17:05 | DAMA Track 1 |
Establishing
Data Modelling as a Service at BP |
| 16:05–17:05 | DAMA Track 2 |
Panel
Discussion: Data Modelling Isn't Enough: |
| 16:05–17:05 | DAMA Track 3 |
The
Role of Master Data Management in an Enterprise Information Architecture Pascal Laik, VP MDM Strategy, Oracle |
| 17:05–18:45 | Drinks Reception Hosted by DAMA UK and Exhibits | |
| 17:15–17:45 | Perspective Session | Session
1 - Harte-Hanks Trillium Software:
Operational Data Quality: Building Reusable Processes Across Your Enterprise Ed Wrazen, VP Product Management & Strategy, Harte-Hanks Trillium Software |
| Perspective Session | Session
2 - Datactics:
Keep it Clean! DQ Firewalls for Product, Financial and Supplier Data Jon Brooks, CEO, Datactics |
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| 17:55–18:25 | Perspective Session | Session
1 - Embarcadero
Technologies: You want me to put WHAT in my data model? Effective data models for effective data management Jason Tiret, Director of Modeling and Design Solutions at Embarcadero Technologies |
| Perspective Session | Session 2 - To be Confirmed | |
| Tuesday |
International
Association for Information and Data Quality (IAIDQ) Meeting |
| Tuesday |
Joint
Chair Introduction Rick F. van der Lans, R20/Consultancy Larry P. English, President, INFORMATION IMPACT International John Schley, DAMA International |
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Featured
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| Tuesday META DATA
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META
DATA Keynote: Business enterprises readily recognize that their assets include money, facilities, employees, inventory, data, etc. For most of these assets they assign clear responsibilities, establish formal asset management processes, and build and operate application systems to help in managing the asset. Data management is different; it’s often treated as a technical issue and not a business issue. The term we use to describe information about this asset – metadata – contributes to this perception. In this opening keynote, we will break the technical mystique about metadata management and demonstrate how traditional asset management approaches can be applied to the management of the critical data assets. |
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| CONCURRENT SESSIONS | |||||||||
| Tuesday META DATA |
Redefining
Meta Data Steve Hoberman, Data Modeller, Steve Hoberman & Associates Where does data end and meta data begin? As our analysis and modelling incorporate more and more unstructured data, the line between data and meta data becomes difficult to distinguish. In modelling a photograph for example, would the subject of the photograph belong to the realm of data or meta data? Would the author’s name of a Microsoft Word document be considered data or meta data? How about the time duration of a song? This session will raise a number of issues around meta data terminology and stewardship, and propose “solutions”.You will learn how the current views of meta data may change, what the new meta data challenges are that we need to address as more and more unstructured data becomes the subject of business requirements, and finally, what the guidelines are to separate data from meta data. |
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| Tuesday Information Track 1 |
Implementing a Data Quality Firewall Pankaj Mistry, Head of Data Governance, Risk Fulfilment, Barclays Luke Thompson, Solution Consultant, DataFlux Corporation This presentation will cover several implementations of data quality firewalls, designed to provide a shield to prevent poor quality data entering the organisation from any touch point. Barclays will demonstrate the benefits of a full data monitoring deployment that allows the organisation to control and measure its data according to predefined business rules within its operational environment. Barclays will also detail how its data governance initiative will provide the policies, processes and technology needed to drive accountability and manageability across a range of systems and departments. Other projects referenced include work with a global publishing house to develop an enterprise wide real-time data quality firewall to improve the quality of data residing within the company’s fulfilment and operational systems.
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| Tuesday Information Track 2 |
A UK Local Government Perspective on How to Improve The Management and Quality of your Customer Data Tony Ellis, Head of ICT, London Borough of Brent Presentation will cover how one London council is tackling the data quality issue in terms of its customer data and the unstructured information it holds. Having built the UK’s largest Customer Data Integration (CDI) hub (comprised of 9 back office systems and containing over 1m records) you will hear how the hub was built, how data quality issues were addressed and what the ongoing information strategy is eg data quality enhancement, links with external data providers/partners. As Brent chairs a cross London council MDM best practice group the presentation will also cover the business benefits of implementing a CDI/MDM project. |
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Tuesday DW/BI |
Hi-Speed
Databases Jos van Dongen, Senior Consultant, Tholis Consulting Over the last two years a new generation of analytical databases hit the market that showed a radically different architecture and proved a better, (much) faster and cheaper answer to the ever increasing analytical workloads. We’re talking of products like Vertica, Paraccel, Exasol, Dataupia and InfoBright who mostly use a combination of column based storage, MPP hardware and aggressive compression to reach performance gains up to 200 times compared to a traditional RDBMS. This session is about a new generation of hi-speed databases, the reasons why only recently it became feasible to build such systems (i.e.: vast improvements and cost reductions in hardware components!), the way they achieve this spectacular performance gains and how fast they really are, both in real world and industry benchmarks such as TPC-H. And last but not least: how do they compare on pricing and licensing options? |
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| Tuesday DAMA Track 1 |
Data Management Implementation in the UK Utilities Retail Environment David Montgomery, Head of Data Management and Continuous Improvement, RWE npower This case study provides an insight into RWE npower’s approach to data management. The presentation covers the journey taken to implement a data management framework including the strategy development and the key steps for delivery. The presentation gives an overview of the key aspects of the framework including governance and toolkits and shares the lessons learned and next steps on the data management journey. Key Topics:
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| Tuesday
DAMA Track 2 |
The Hand
Is Quicker than the Eye: The Cost of Compromised Information and How to
Protect Against it Jean Paul Ballerini, Senior Technology Solutions Expert EMEA, IBM Internet Security Systems Have you ever seen an employee walk out with a mainframe computer? If not, better check again. With today’s multi-gig USB devices, iPods and Pocket PCs equaling the capacity of hard drives, organizations must start assigning value to assets based on the cost to business if the asset is compromised. This can only be accomplished through an integrated security strategy that incorporates people, process and technology. This session will address:
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| Tuesday
DAMA Track 3 |
A Methodology for Migrating
Legacy Data Graham Witt, Consultant, Ajilon The migration of legacy data to a modern database platform in which business rules and constraints have been properly modeled is a complex task with many traps for the unwary. Based on Graham's recent experience in migrating large government databases, this presentation proposes an approach to migration which enables many of these pitfalls to be avoided. It covers:
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| Tuesday 4 November 12:50–13:20 |
Perspective Perspective Session 1
- DataFlux: Data governance is a critical issue for any organisation preparing to compete in today’s global economic climate. Companies must be prepared to deal with unfamiliar languages, cultures, and standards – of both customer and non-customer data – to find a way to create an effective competitive advantage. This presentation will draw on DataFlux customer references from the world’s leading brands to help provide insight into best practices when implementing data quality programmes. It will look specifically at the reporting, measurement and ongoing monitoring of customer data and at real-time integration of non-customer data quality into business processes. The presentation will touch on governance models, processes and also include real-time demonstrations to showcase examples of valuable data projects. |
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Perspective Perspective Session 2 - Business
Objects: Data Quality is a vast topic and we can take you through best practice in starting the initiative and building a lasting framework. But once your data has good structure and quality processes are you truly covering the "information gap" for what the business needs versus what IT can supply. Join Business Objects at lunch to find out about -
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| Tuesday DW/BI |
DW/BI
Keynote: In the old days, data warehouses were rather static, they were designed for storing and retrieving internal and structured data. The users of the data warehouse were primarily decision makers of our own organisation. But the world has changed, and so has our data warehouse. Data warehouses of today have to be able to handle unstructured data and external data. New groups of users can be identified, and different forms of usage. In addition, the need for real time data warehouses is growing. The mistake we are making is that we think can handle all these new requirements using the old data warehouse architecture. In this session we propose the virtual data warehouse, an architecture based on sound software engineering practices, such as information hiding. To develop this new generation of data warehouse architectures we will need EII and SOA technology. |
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| CONCURRENT SESSIONS | ||||
| Tuesday META DATA |
Putting Structured Business
Vocabularies to Work Ian Davis, Global Project Delivery Manager, Dow Jones Client Solutions, Dow Jones To stay competitive, businesses need to locate and retrieve data, information and content in increasingly smarter and faster ways. Controlled (structured) vocabularies provide many benefits to the business, including improved efficiency and cost effectiveness of retrieval. However, there’s more to “taxonomy” than just building it. To be of any value, it must be implemented. This session will examine the benefits and challenges of using controlled vocabularies to enhance relevant searching and retrieval of data, information and content.
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| Tuesday Information Track 1 |
How
to Maximize Benefits from Quality Assessment Milan Kucera, Certified TIQM Consultant, Data to Information The presentation will focus on maximizing of information quality assessment. Typically quality assessment focuses on a separate database and system, and by using the quality technology it allows companies to “analyze” all the data stored in the system. I would like to propose a way of maximizing benefits of information quality assessment by:
The presentation is
based on the use of Deming, Kaizen principles, TIQM P1 and P2 processes,
and the use of mathematical statistics (comparison of two average values
– pair test), and business process modeling --> a way how to
present the relation between process steps and information – information
value chain. |
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| Tuesday Information Track 2 |
Challenges in Matching
International Customer Data Carsten Kraus, CEO, Omikron Data Quality GmbH Whilst in business the world unites, many countries demand to maintain or even strengthen their cultural identity – part of which are names conventions, addressing and different writing characters. Respecting those cultural identities requires clearly localized master data. This, on the other hand, leads to huge problems for organizations operating globally: Their international customer data is difficult to structure and compare, which seems to make matching and data cleansing almost impossible - leading to poor data quality.
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Tuesday DW/BI |
Using
Information Management to Sustain Data Warehouse John Ladley, President, IMCue Solutions Many organizations are still grappling with fundamental development challenges and growth issues for data warehouse. This session gives practical information-based techniques to Architect and Sustain the DW. Excellent for DW managers, business users, information managers and experienced DW professionals looking to advance their DW to the next level.
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| Tuesday
DAMA Track 1 |
Zachman Enterprise Framework
2™ John Zachman, President, Zachman International John Zachman is announcing a new version of the Zachman Framework graphic with major modifications that clarify the Framework logic and express it in terms appropriate for business understanding, not merely I/S understanding. This presentation introduces the changes that constitute the Zachman Framework2 for Enterprises. |
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| Tuesday
DAMA Track 2 |
Managing Master Data, A Case Study Mehmet Orun, Senior Manager & Principal Architect, Genentech Master Data Management became a part of any IT portfolio or roadmap, with conferences dedicated to it and workshops given on this topic. While there is plenty of material on MDM solution architectures, MDM's role in the Enterprise Architecture portfolio and how to truly manage the master data is discussed much less often. This presentation will focus on an MDM journey that started four years previously with the implementation of a customer-centric CDI solution and how it evolved into a broader, party-centric MDM hub along with associated SOA services, data warehousing tie-in, and data stewardship activities. |
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| Tuesday
DAMA Track 3 |
Application
of the DAMA DMBoK in an Enterprise Data Architecture Glenn Thomas, Director Data Architecture, Kentucky Government Historically, Kentucky government’s approach to data has had a narrow focus on traditional business needs in compliance with agency-level technology standards. The absence of an enterprise view has created a ‘spaghetti’ data environment, which is highly fragmented with significant duplication. To transition the Commonwealth from day-to-day tactical data usage to also include a more strategic environment where quality data is shared and accessible at all levels of state government, we are implementing the Kentucky Enterprise Data Architecture (KEDA). KEDA relies heavily upon the DAMA DMBOK functional framework and is vendor-neutral. The presentation will discuss:
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| Tuesday META DATA |
Data
Governance for Business Leaders John Ladley, President, IMCue Solutions Master Data Management , IM, DW etc. requires governance. Most of the burden for ensuring the success of governance falls on business users of information. They must learn to be stewards, owners, and change agents while still accomplishing their day-to-day responsibilities. Many information management and governance initiatives originate in business areas, but the mechanics and realities of “post governance design” need to be fully understood before real change occurs. A solid business case, on going measures, and a change management based sustaining strategy is called for. This session will cover the basic concepts and steps for business participants to understand how to make governance a successful business project.
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| Tuesday
Information Track 1 |
Banker
IQ: Approaching Information Quality in CDI Solution Simon Gratton, Managing Director, Adastra UK We will share the lessons learned from the implementation process of the Information Quality Management solution. The solution has been implemented in an undisclosed European Bank as a part of the overall CDI hub solution. This presentation will focus on the:
We will concentrate on how it impacts business and how the business users are involved in the overall Information Quality Management process. |
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| Tuesday
Information Track 2 |
Simple Data Stewardship in a Complex Organization Neil Harvey, Commercialization Manager, JohnsonDiversey Chris Maynard, Consultant, Transforming Information “Make everything as simple as possible, but not simpler” – Albert Einstein. How can we simplify Information Stewardship, but not too much? Based on their experience in a large, heterogeneous, multi-national, b2b corporation, Chris and Neil will present a stewardship model that
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Tuesday DW/BI |
Business
Insight is the Next Iteration of BI Barry Devlin, Founder and Principal, 9sight Consulting Twenty years of data warehousing and Business Intelligence has seen us cram ever more data into our warehouses and power into our processors. Software companies introduce increasingly sophisticated and integrated analytical tools. And yet… our underlying approach to supporting business decision-making remains much the same as it has always been. This session poses a number of key questions and explores some potential new directions:
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| Tuesday
DAMA Track 1 |
Establishing Data Modelling as a Service at BP Ken Dunn, Head of Information Architecture, BP Christopher Bradley, Head of Information Management Practices, IPL BP is a large federated organization with a diverse set of systems and data. This real-world case study describes the four-year journey BP embarked upon and describes how this major energy company established data modeling as a service aiding its data governance. With the pressure of regulatory compliance, a focus on data quality and a move to service-oriented architecture, “data” issues are once again coming to the forefront in BP. This presentation will illustrate topics such as:
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| Tuesday
DAMA Track 2 |
Panel
Discussion: Data Modelling Isn't Enough: Once it was enough to be proficient in data modelling. But that was long ago. As data management continues to evolve more skills and concerns face the data management professional. This panel session will focus on today's and future challenges facing data management professionals. Some of the topics discussed will include Data Mashups, Impact of Web 2.0, Unstructured Data, Master Data Management and Data Management and SOA. Join us for this interactive session and bring your issues and concerns to discuss. |
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| Tuesday
DAMA Track 3 |
The Role
of Master Data Management in an Enterprise Information Architecture Pascal Laik, VP MDM Strategy, Oracle Master Data Management (MDM) consolidates data from all operational applications, cleanses it, de-duplicates it, cross-references it, augments it, governs it, and shares it with the sourcing applications. It holds the key dimensions for customer, supplier, product, location, and account. MDM maintains the hierarchies and cross-references actually used to operate the business. MDM passes these entities to the Data Warehouse, Business Intelligence and Enterprise Performance Management applications. This puts MDM at the very center of an Information Architecture. People who attend this session will learn:
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| Tuesday 4 November 17:05–18:45 |
Drinks Reception
Hosted by DAMA UK and Exhibits |
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| Tuesday 4 November 17:15–17:45 |
Perspective Session 1
- Harte-Hanks
Trillium Software: Data quality management is never a one-off or one-time exercise. To ensure information remains consistent and accurate, data quality processes and capabilities must be deployed in a wide variety of contexts: batch and real-time, at the point of data capture and the point of data extraction, in data migrations and in on-going database maintenance operations. This session discusses the building blocks to implementing data quality processes across multiple operational systems and the solutions required to support data quality across your Enterprise. |
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Perspective
Session 2 - Datactics:
Immediate bottom-line benefits are achieved through creating accurate, consistent and standardised data companywide. However enterprise data is exposed to pollution on a daily basis such as human error and discontinued product lines. One off cleansing service only achieves limited and short term benefits. Data is a corporate asset and to ensure that it adds value to your business it is important to keep it clean! A Data Quality Firewall prevents the entry of erroneous, duplicated and poor data quality across your organisation. It ensures any type of data in any language is ‘fit for purpose’ at point of entry. Clean data is instrumental in driving revenue and cost reduction initiatives. For instance businesses can instantly identify substitute parts preventing stock outs, production delays and missed sales to name a few. Datactics will demonstrate a real world Data Quality Firewall application which has delivered immediate return on investment through increasing global purchasing leverage, optimising inventory management, accelerating product speed to market and streamlining order-to-cash process for a Fortune 500 Company. |
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| Tuesday 4 November 17:55–18:25 |
Perspective
Session 1 - Embarcadero
Technologies: Data volumes are increasing at enormous rates, but is knowledge increasing with it? In these days of data governance, web services, regulatory compliance and heightened information security, data architects are asked to build much more than the classic data dictionary. The traditional entity and attribute definitions are not cutting it when it comes to truly documenting the data and the processes/usage surrounding it. Your metadata and models have to keep up. They need to be as agile as ever and they have to evolve with the growing needs of your organization. This session will explore methods for capturing of a wider range of information in your models and communicating it to different audiences with different needs. It will demonstrate how data models can be leveraged to better assist projects related to data governance, XML management, web services, and regulatory compliance mandates. |
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Perspective Session 2 - To be Confirmed
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