WEDNESDAY, 4 November 2009
| Wednesday |
DAMA International Meeting If you want to learn about DAMA, come to our meeting this morning and find out how you can join or start a new chapter. DAMA International is a not-for-profit, vendor independent association of technical and business professionals dedicated to advancing the concepts and practices for data resource management and enterprise information. The primary purpose of DAMA International is to promote the understanding, development, and practice of managing data and information to support business strategies. DAMA International has chapters and members throughout the world. |
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Wednesday |
KEYNOTE:
Managing Information Quality Throughout The Information Value Circles In this keynote presentation, Mr. English introduces the concept of Information Value Circles as a Business Management tool, for managing Information as a resource and Information Quality as a product of Information Processes. You learn fundamental Information Quality principles and processes that lead to Business Effectiveness by improving Information Process Quality across the Value Circles. With illustrations from organizations around the world that have implemented successful information quality processes, Mr. English describes the techniques and cultural transformation required for an effective and sustainable Information Quality across all Information Value Circles.
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| CONFERENCE TRACKS | ||||||||||||||||
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INFORMATION QUALITY | |||||||||||||||
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DAMA | |||||||||||||||
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DATA WAREHOUSE & BUSINESS INTELLIGENCE | |||||||||||||||
| CASE STUDIES, TOOLS & TECHNIQUES | ||||||||||||||||
| 10:30 – 11:30 CONCURRENT SESSIONS | ||||||||||||||||
| Wednesday
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Information Quality 2.0: What
Can We Learn from the Open Source Movement and Web 2.0? Gary Palmer, Chief Alchemist, Information Alchemy Ltd This presentation is a thought piece on the radical approaches to Information Quality and Information Management that might harness the technological and social changes that are coming through 2.0 thinking. Why old organisation structures are no longer adequate and getting the buy-in of the board no longer matters as much as getting engagement form the people
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| Wednesday
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Metadata - Its Registration
and Its Support for Interoperability Keith Gordon, Principal , Gordon Blain Associates Working Group 2 of ISO/IEC JTC1 Subcommittee 32 (Data Management and Interchange) is responsible for developing international standards for metadata, principally ISO/IEC 11179 (Metadata Registries) and ISO/IEC 19763 (Metamodel Framework for Interoperability). Edition 3 of ISO/IEC 11179 is currently under development. This revised standard will specify the requirements to register metadata covering very abstract concepts through to physical data elements. ISO/IEC 19763 is a new standard that is still under development. It will specify the requirements to register the metadata for a number of different types of model (such as ontologies and process models) and to map between them. This presentation will describe these two standards and discuss the benefits that can be gained by implementing them. |
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| Wednesday
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Data Governance at British Airways: “The
Good Times & the Bad”, or “How We Saved Data Governance
from the Credit Crunch” Paul Woodward, Enterprise Data Architect, British Airways For British Airways, a full service global airline, the corporate goal of “One Destination” has seen a number of recent challenges – with a particular challenge this past year being the credit crunch. This session chronicles how BA’s data team established Data Governance at BA and then changed their approach to ensure data governance continues whilst money is in short supply. The goal of a “customer-enabled British Airways” has been underway for the past five year with the purpose of better servicing Executive Club members, online budget travelers, etc. as well as other valued business and leisure travelers, in the market-appropriate manner. Knitting together these numerous data sources (Teradata, SAS, Oracle, SAP, Business Objects etc.) across multiple business units in normal times would constitute a challenge. Despite a recessionary economy and respective travel market issues, British Airways has implemented data governance within the organisation albeit with changes made to the program as a result of the credit crunch. This session will provide insights into the rolling out of the data governance processes and organizational structures by discussing:
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| Wednesday
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Business Integrated Insight
(BI2) – A New Architecture for More Than Business
Intelligence (session 1) Barry Devlin, Founder & Principal, 9sight Consulting Today’s data warehouse architecture dates back 20 years to much simpler times. Business needs and technology have advanced dramatically since then, and the current architecture is at its limits. This new BI2 architecture explicitly extends business intelligence to address both strategic and operational decision making, collaborative working and the widespread use of information from beyond the enterprise. It incorporates new developments in SOA, databases, distributed access and web technologies to create a fully integrated architectural platform for all business decisions.
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| Wednesday
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A Decision Centric Future for BI
Neil Raden, Founder and CEO, Hired Brains While BI professionals must deliver the reporting and documentation of data their organizations need, the future lies in using BI to make better decisions. To maximize the value of their data, organizations need to understand the decisions they make - from board-level strategic decisions to low-level customer treatment decisions for specific customers - and optimize those decisions. New skills and technologies must be brought to bear, from experimental design to adaptive control to business rules and executable analytics. BI's future lies in fact-based decisioning at every level and this requires BI professionals to lead the change to a more decision-centric approach. Topics covered:
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| Wednesday
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Process Quality – What Really Matters in a Tough Economy. Hear about a real-life-scenario on how to gain operational value in an airline Navin Sharma, Director of Global Product Strategy - Data Quality, Pitney Bowes Business Insight Nick Ward, Senior Consultant & Product Manager, Optimised Systems & Solutions, OSyS UK As Data Management Professionals, it’s important for us to bridge the gap in understanding that exists between business and IT. But, what really matters are not conversations around data management best practices, or data governance or data quality score-cards, but conversations and strategies around business process optimization as it directly co-relates to the quality of the underlying data. Hear about a real-life-scenario on how to gain operational value in an airline. |
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| 11:35– 12:35 CONCURRENT SESSIONS | ||||||||||||||||
| Wednesday
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Software Assurance Using Structured
Assurance Case Models Elizabeth Fong, Computer Scientist, National Institute of Standards and Technology In this presentation, we examine a methodology known as a structured assurance case model, which has been widely used for assuring system safety, for its potential application to software assurance. We first describe the structured assurance case model, and then examine its application and use for software assurance. Software assurance is an important part of the software development process to reduce risks and ensure that the software is trustworthy. Software defects and weaknesses can often lead to system errors and failures and to exploitation by hackers and criminals who attempt to exploit vulnerabilities. Testing, certification and accreditation have been traditionally used in the software assurance process. Delegates will learn the following:
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| Wednesday
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Putting The Information Puzzle
Together Inna Kogan, Principal Enterprise Data Architect, Iron Mountain Iron Mountain is working to make Enterprise Information Management come alive through Data Modelling and Metadata which will help them to better share information across all of their systems and be able to document them for subsequent use for data warehousing. The project includes understanding of data assets across the enterprise. This presentation will demonstrate how the data modelling and metadata was used to assist in this valuable corporate initiative, including:
The Presentation includes a demo of the Metadata Web Site |
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| Wednesday
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End User Computing, Risks, Solutions and
Prevention Rik van der Schalie, BI Architect, Capgemini Nederland End User Computing is all IT use that is not governed by official IT departments and processes. It comprises the use of spreadsheets, local databases and user-built systems to support personal or departmental IT needs. Due to the fact that this use of IT is not governed by IT processes (or often any process at all) it directly affects the security and quality of information, business continuity etc. These risks can cause financial damages, sometimes running into millions of Euros and, in extreme cases, claim human lives. This presentation aims to clarify why End User Computing exists, which risks are involved, why End user Computing exists, why it won’t go away and how to mitigate and minimize the risks of End User Computing.
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| Wednesday
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Seven Steps to BI2–
Reintegrating the Data Warehouse into the Full Business Cycle (session
2) Barry Devlin, Founder & Principal, 9sight Consulting The previous session described a new architecture—Business Integrated Insight (BI2)—that reintegrates decision making in all its forms into the overall processes of the business and builds upon a variety of technological advances of the past few years, such as SOA, distributed access, web technologies and specialised relational databases. Any new architecture today has to support a relatively easy transition
from as-is reality to the desired to-be state. This second session
describes seven steps you can take to move from your current data
warehouse implementation to the new BI2 architecture
and benefit from a more integrated and process-oriented approach
to running your business.
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| Wednesday
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Introducing the Strategy-to-Success Management
Process Framework, a 100% Business Presentation Frank Buytendijk, VP and Fellow, Oracle No one in their right mind would start implementing an ERP, CRM, HCM, SCM system or any other business application without having a solid understanding of the business processes that need to be supported. However, when it comes to BI and Enterprise Performance Management, projects are routinely started and completed without any understanding of management processes at all. "Users will start making better decisions" is the closest thing to a business case. Unbelievable. In his usual humorous, out-of-the-box and provocative way, Buytendijk will share his view on management processes and how to support them in a better way. Learn how Shopping in Germany, Utrecht Central Station, and Celebrity CEOs relate to scenario analysis, rolling forecasts and other management techniques. |
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| Wednesday
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Using Real-Time Dashboards for Governance,
Risk & Compliance Steve Tuck, Chief Strategy Officer, Datanomic Governance, Risk & Compliance (GRC) issues create the must-do projects for any enterprise. Learn how organisations can use data-driven dashboards to adopt an integrated approach to GRC spanning multiple overlapping and related activities, including Anti-Money Laundering, Finance, Marketing, Internal Audit, Operational Risk, SOX, Enterprise Risk Management, Basel II & Solvency II as well as Data Governance. The session will provide case studies and examples from the worlds of Financial Services, Utilities, Manufacturing and Retail. |
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| 13:15– 13:55 PERSPECTIVE SESSIONS | ||||||||||||||||
| Wednesday |
Session 1: Change is here
to stay, so how can it be managed? Constantly changing business requirements have become a way of life for most BI departments. The challenge lies in balancing the constantly changing demands for new, better information with the basic needs of the 'day job'. In this session, we will show a hands-on, practical interactive demonstration ( NO POWERPOINT) of how to effectively capture new requirements, plan and implement the change, and deliver on-time analytics to the business. |
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| Wednesday |
Session 2: How to reach Data Quality Nirvana One of the key reasons for project delays and failures is often poor Data Quality. In this short sharp session you will see how with SAP NetWeaver and BusinessObjects Information Management Software, SAP provides an extensive solution portfolio to understand, integrate, cleanse and govern your data enterprise-wide. It will include a practical demonstration of the software showing how data quality issues can easily be addressed with SAP software. |
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Wednesday |
KEYNOTE:
Managing the Cloud - The Impact of Cloud Computing for Data Management
Professionals There has been much discussion about the potential opportunities for globalized cloud computing . However very little has focused on the impact it will have on data management and data management professionals. In this keynote presentation, Reuven Cohen thought leader in the emerging cloud computing industry will address the challenges cloud computing brings to data management. Topics he will address include:
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| 15:30– 16:30 CONCURRENT SESSIONS | ||||||||||||||||
| Wednesday
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Applying a Target Business
Model for Improving Data Quality Volker Würthele, Director, Global Projects - Target Business Model, UBS Data quality is widely defined as a fitness-for-use kind of quality. Using data is an information process - and data managers are well aware that processes need correct data. But unsuitable processes are sometimes worse than wrong data, as they even fail if data is right. A strategic approach is applying a Target Business Model. The presentation will explain:
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| Wednesday
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More Than Just Models - Developing
and Delivering a Working Data Management Service Dagna Gaythorpe, Data Architect, Independent/DAMA Data models are part of a successful data management service. But they are not the whole picture - a lot of the value comes from the context, cross-references, and understanding of where the data is used, how and for what. Dagna has been developing a structured approach to this for the last fifteen years, and in this presentation she describes a component-based approach to developing a data management service, shows how the components fit together, and reviews the services that are supported by each component. This is not just theory - most of the examples are from real-world experience. But there will be some theory covering how data management can work with, and provide useful services to, modern bespoke and package-based development teams, and how UML could be used to build bridges. This presentation covers:
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| Wednesday
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When Algorithms Aren’t Enough. How
“Crowdsourcing” Can Solve Data Problems that Drive Your
Business Performance Sharon Chiarella, VP Mechanical Turk, Amazon Your business demands accurate data, but your algorithms and technology only get you part of the way there. How can you close the gap in a way that is cost effective, scalable and fast? In this session, you’ll learn how others, including Amazon, use crowdsourcing to collect, cleanse and optimize the data that drives the business. The talk will focus on trends in crowdsourcing including Amazon Mechanical Turk, which enables access to an on-demand Internet-scale workforce. Hear how companies are using the “crowd” as an innovative way to staff projects and improve business results. Regardless of whether your data is a catalog of products, a listing of houses for sale or an endless supply of “user generated content” posted to your web site. |
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| Wednesday
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Data Warehouse Governance
– How to Get Organised Jo Franssen, Sr. Data Warehouse Analyst, ABN Amro Bank Managing a Data Warehouse in a large organisation often is a challenge considering the diversity of data, systems, definitions, models and the number of owners, stakeholders and departments involved. Governance on data, processes, people and technology has become one of the critical success factors. This case study shows how ABN AMRO Bank N.V. deals with this issue by taking a look at the organisational side of data warehousing.
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| Wednesday
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Panel Discussion: Will New Technologies
Change the BI Market? Moderator: Neil Raden, Founder and CEO, Hired Brains Panellists: Frank Buytendijk, VP and Fellow, Oracle Tom Cahill, Director EMEA, Jaspersoft Ron Macdonald, Head of Business Intelligence, aap3 Bob Pearson, Europe Area Director, Aster Data Systems More and more open source BI products are appearing on the market, analytical database servers have become available, mashup technology and Software as a Service are entering the BI space. But what will all these technologies do? Will market shares change? Will organizations start to outsource their data warehouse environments? This panel discussion will address these and other questions. |
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| Wednesday
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Thanks To Open Source Data Integration, Vodafone Provides Required Call Data To Law Enforcement Without Breaking The Bank Al Chester, Portfolio Manager, Vodafone UK By law*, all telecom providers in the UK must be able to provide call data information to law enforcement agencies whenever it is requested. For Vodafone, this requirement implies maintaining a huge data warehouse of historical call information, from which they can service requests quickly, without having to dig into terabytes of call logs or other extremely technical data. However, because this project is a regulatory requirement and does not generate revenue, it was important for Vodafone to implement it at the lowest possible cost. The cost for additional licenses of the data integration technology then-used at Vodafone would have been prohibitive. Vodafone turned to Talend's open source data integration solutions for processing very complex call record data and other technical information – and the results are impressive. * EU DRD (EU Data Retention Directive) |
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| 16:30– 17:30 CONCURRENT SESSIONS | ||||||||||||||||
| Wednesday
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Achieving IQ Maturity: Lessons
Learned and Best Practices C. Lwanga Yonke, Independent Analyst As the Information Quality discipline matures through a turbulent adolescence, many organizations find themselves unable to successfully tackle the high costs of low quality data. However, a small but growing number of organizations seem to have gotten it right and are enjoying sustained superior Information Quality, which they leverage into improved business results. What are they doing and how are they doing it? This presentation describes lessons learned and best practices developed in organizations that have achieved IQ maturity and success. |
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| Wednesday
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Panel Discussion: New and
Future Trends in Data Management: What Data Professionals Need to
Consider Moderator: Cliff Longman, Independent Consultant, AdaptableData Panellists: Reuven Cohen, President, Enomaly Inc. Simon Slocombe, Director of Consulting, Evaxyx (UK) Limited Dylan Jones, Founder/Editor, Data Quality Pro Martin James, UK Sales Director, Talend This panel will discuss new and future trends that information management professionals will need to address, topics will include:
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| Wednesday
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Data Management - Just Get It Done!
Hugh Potter, BP Oil International Niko Papadakos, Sapient This session provides an overview of how the Data Management Framework helped the business address Data Management in a pragmatic low cost fashion whilst providing immediate business value. It will show how we formulated a method of assessment and prioritisation of our data classes based on our ability to manage our data, rather than on Data Quality. By producing measurement gauged against our Data Management capability, Data Governance is assured of sustainable improvement in data quality, in a controlled – not endless - journey. |
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| Wednesday
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Delivering BI in Half the
Time with Higher Quality Nigel Dowden, Managing Director, Anari here is growing pressure to drastically reduce the delivery time for Business Intelligence projects, from requirements capture to delivered product. Anari has found that using tools (to bring together conceptual, logical and physical modelling) and technology which enable high-speed analytics helps us to deliver proven BI projects in 50% less time than traditional approaches. We have found that we can produce high-quality documentation on the fly, as well as building an infrastructure that enables end-to-end traceability, impact analysis for change management and road-mapping for project scheduling. Nigel has a number of interesting projects that he has undertaken with customers, including Aeroflot, United Utilities and Confused.com that he will use as the basis for the presentation. |
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| Wednesday
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Leveraging Open Source Business Intelligence
in the Gas and Oil Industry Gas and oil field operators must track and optimize production from various wells in a field and allocate produced quantities across various shared assets, such as pipeline. Until recently, operators and asset owners responsible for managing these processes were forced to develop and maintain complex, in-house software solutions which typically take months or years to build and are costly to maintain. Join Peter Black from Energysys, a provider of on-premise and SaaS hydrocarbon allocation and production software solutions, as s/he talks about designing and deploying an open source business intelligence suite to provide on-demand solution with predictable costs and low maintenance requirements. |
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| Wednesday
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Product Data Quality, A Roadmap
Yossi Rissin, CEO, InQuera Product data is the lifeblood of any organization that purchases, produces and sells products. Making product data a useful resource is a complex challenge that requires profound knowledge, taxonomy skills and sophisticated software tools. Learn what is 'dirty' product data and why it is so common, why good taxonomy is essential, what is good taxonomy, how to automatically transform raw 'dirty' product descriptions in any language or format into a usable, classified and normalized table of attributes and values – 'a single version of the truth', how to consolidate products according to their functionality, how to, automatically, enforce standards and regulations and protect your product data quality, and what the advantages of machine learning based technology are. |
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| Wednesday |
META-DATA Professional Organisation (MPO) Meeting Get to Know Us-The Metadata Professional Organization |
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