TUESDAY, 3 November 2009
| Tuesday |
International Association for Information and Data Quality (IAIDQ) Meeting Join us for a Springboard Story session that will set you up for a day of learning as we share with you information about the IAIDQ, details of what we have been working on in 2009 (our Anniversary Year) and an update on what we have planned for 2010, including an update on the Certified Information Quality Professional qualification. Join us for our Early Bird session, come and meet us on our stand and listen out for an invitation to dinner and drink with your fellow professionals. |
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Tuesday |
Joint
Conference Chair Introductions |
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Tuesday |
KEYNOTE:
Data Management As Applied To Churchill's Adaptive Enterprise Many business people today are grappling with an unprecedented level of change adversely impacting their organizations. They need to make robust decisions quickly but are struggling to make use of data locked up at the enterprise, business unit, and project levels. Similarly to its application in business today was the management of data required for Churchill’s decision making environment. This historical analysis is done through a modern business and information technology lens, describing Churchill's actions and strategy using modern business tools and techniques. As a result, you will learn how Churchill:
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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 | ||||||||||
| 11:00 – 12:00 CONCURRENT SESSIONS | ||||||||||
| Tuesday
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Sustaining Information Quality:
Lessons from the Field Tony O’Brien, Finance Manager, Remploy This study identifies that lasting information quality improvements result from enhanced business processes and the training and development of people, therefore gaining an understanding of the reasons behind issues and problems and their ultimate resolution, and thereby learning from the corrective actions, to aid future progress. In this way any initiative becomes self-sustaining rather than a continual clean-up exercise.
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| Tuesday
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Adventures in Reverse Engineering
– What You’ve Got, and Why You Don’t Like It Alec Sharp, Senior Consultant, Clariteq Systems Consulting In the business process improvement field, a standard practice is to build “as-is” process models. We depict how things actually work – not how people think they work – and then laugh, cry, and otherwise analyse the situation. This practice illuminates what works well, what doesn’t, and builds support for change. Although it isn’t done as often, the practice of building “as-is” data models by reverse-engineering physical data structures can be an invaluable tool for the data management professional. When used, it has been a great attention-getter, leading to reactions of shock, dismay, sometimes delight, and almost always new insight into the situation. This presentation will illustrate successful techniques by reviewing several real-life examples. Topics include:
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| Tuesday
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Principles Based Metrics for Data Management
Mary Kotch, AVP, MetLife Metrics represent the only approach that can provide an objective means by which to gauge the success of any engineering effort, and data management is no exception. This presentation outlines a framework of data-centric principles that is designed to organize a wealth of potential metrics and measures. With this approach it is possible to assess the level of data management maturity in an enterprise. The presentation also covers the need for careful attention not just to the selection of metrics, but also to the relevant units and value ranges for the selected metrics. The application of the framework in an insurance industry environment is discussed.
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| Tuesday
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The Data Delivery Platform
– A New Architecture for Data Warehouses Rick van der Lans, Managing Director, R20/Consultancy Classic data warehouse architectures have served as well the last 20 years. But if we look at the latest available technologies and if we consider the new user requirements, we should ask ourselves the question whether it isn’t time for a new architecture; an architecture which allows us to adopt new technology more easily, that supports operational BI, that reduces costs, and so on. In this session, we propose a new architecture called the Data Delivery Platform. An architecture where data consumers and data providers are decoupled. It is an architecture where Enterprise Information Integration and SOA play a crucial role. It also allows us to simplify warehouse architectures. |
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| Tuesday
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Data Search: Searching and Finding information
in Unstructured and Structured Data Sources Erik Fransen, Senior Business Consultant, Centennium There is an increasing need within the Business Intelligence user community for searching and finding information in unstructured data sources. In this presentation the speaker will discuss the business case for data search, he will give an overview of typical data search applications and techniques(including text, voice and video mining) and he will discuss two typical scenarios for implementing a data search solution as part of a datawarehouse environment. An overview of data search tools complements the presentation. The participant will learn:
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| Tuesday
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The Transition to Enterprise Data Quality The audience will learn what Enterprise Data Quality really means and where the market sits today. Many companies have adopted data quality in a disjointed fashion in various departments and have not yet seen the full return from their early investment. We will describe the key characteristics of an organisation that should consider this transition and articulate the value proposition. |
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| 12:40 – 13:20 PERSPECTIVE SESSIONS | ||||||||||
| Tuesday |
Session 1: Modeling Agility
and Vitality for Data Governance Programs Now more than ever, you and your models need to speak many languages and talk to many audiences to properly support your organization’s data governance initiatives. Throw in master data management, service-oriented architecture, data integration, data quality projects and compliance laws and the scope of the program can get out of control very quickly. The simple answer is you and your models need to evolve to support a data governance program. You need to capture much more than just data definitions. You need to service more than just the data architects, DBAs and developers. Metadata related to stewardship, organizational structure, data quality, privacy and information security, system of record, and much more needs to find its way into your models and communicated to the appropriate audiences in a timely manner. This session discusses how architects can use their models in new agile ways to support data governance programs in their organizations. |
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| Tuesday |
Session 2: Case Studies in Data Virtualization v Physical Replication/Consolidation Data virtualization integrates data from disparate, heterogeneous sources regardless of the location of the data source, creating logical, unified, virtual views for consumption by any front-end solution such as applications, dashboards, portals, intranet, search etc. Why is this important? Because, with exploding volumes of data, and a growing number of fragmented data sources, organizations are realizing that physical consolidation of data is not the solution of choice for all data integration needs. While physical consolidation of data has its place, it also involves higher storage and license costs, higher response time to changes, latency in data delivery, more maintenance effort and more staff resources making it a less-than-ideal solution for many critical projects. Denodo believes that organizations do not have to be siloed into one integration type or another. There are projects for which physical consolidation of data is necessary, but there are several key projects for which data virtualization is the right solution. This session explores this topic through the use of customer case studies. |
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Tuesday |
KEYNOTE:
DW 2.0™ - Architecture for the Next Generation of Data Warehousing DW 2.0™ - architecture for the next generation of data warehousing© – has its roots in classical data warehousing. But some important new architectural features are intertwined – the life cycle of data, the need to connect unstructured data with structured data, the need to tightly intertwine metadata with the warehouse, the need for an enterprise metadata repository – all these features are vitally important for the next generation of data warehousing. This keynote presentation by Bill Inmon describes what you need to know about DW 2.0™ to get started. In addition, this keynote address will point you to where you can go for further in depth material. Some of the topics include –
This keynote presentation is designed for the data architect, the systems manager, the application developer, and the data warehouse professional who have to get the most out of today’s environment and who have to prepare for tomorrow. What the attendee will learn –
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| 14:35– 15:35 CONCURRENT SESSIONS | ||||||||||
| Tuesday
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A Successful Case Study –
Alliander: How to Implement Information Ownership’ this is different
from Stewardship Werner Wiggers, Director, Effectual Development method will be delivered in a new book based on a very practical approach, the Deming Wheel (Plan-Do-Study-Act)), which is not theoretical.
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| Tuesday
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How EA is Transforming the
UK Government's Approach to Information Sharing Anthony Golledge, Head of Enterprise Architecture, Detica UK Kevin Mclean, Director Magee Review (former), Home Office As a large information-driven enterprise, UK Government handles huge quantities of data, from processing benefits payments to protecting our national security. However, data losses, spending cuts and green computing mean Government is increasingly looking for better ways to share information – without building more big databases. Using the example of the Public Protection Network (PPN), a concept developed by the Magee review on criminality information, Detica and the former Director of the review will explain how an EA approach is helping this new enterprise gather and share information securely. With relevance to any organization needing to share information, this presentation will:
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| Tuesday
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Avoiding Project Disasters - Titanic Lessons
for IT Projects Mark Kozak-Holland, Business Architect, HP Services, Consulting and Integration Every year we experience IT projects from "hell" that we know will turn into an operational disaster. But do any come close to R.M.S. Titanic's track-record of four years in development (1909-1912) and 4 days in operation? This topic probes in detail Titanic's construction project that designed, built, and launched the ship. It reviews the background as to how White Star developed a strategy to outpace its competition with 3 super liners, using the latest in emerging technologies. It then analyzes each of the project stages and shows how compromises were made by the designers and builders in pursuit of the project mantra “to create the ultimate passenger (first class) experience.” This led to serious flaws in a supposedly "perfect ship" considered so safe that it did not even need a full complement of lifeboats. With the safety systems compromised the probability of a disaster increased substantially with the pomp and grandeur of a maiden voyage. You will learn how the lessons from Titanic’s project and disaster can be applied to IT projects today. The session juxtaposes the Titanic story and modern IT projects so that we can learn from the disaster how:
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| Tuesday
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Data Warehousing Lifecycle
Management (DWLM) - The New Approach Steve Hitchman, Operations Director, WhereScape Europe Data Warehousing has recently gone through a paradigm shift in both agility and cost. Current data warehousing development styles and techniques still adopted by the majority of organisations are now outdated, time consuming and expensive.
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| Tuesday
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Process Intelligence: It’s Not BI
Neil Raden, Founder and CEO, Hired Brains Not all operations require real-time processing, though many do, but all demand nearly zero-latency when something happens, such as a fault, a new event or even just someone looking at the state of the operation. Our existing "business" intelligence architectures are not designed for this and are not capable of it. Some reputable DW/BI thought leaders have begun to question the whole orientation of ETL and data warehouses, arguing that the time has come to move to persistent master data and transient transaction data capture. These are radical ideas and they will be explored in this session, as well as other alternatives. Also covered in this session:
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| Tuesday
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Building Data Quality Scorecards for Data
Governance Ed Wrazen, VP Product Management & Strategy, Trillium Software Getting business ownership and sponsorship in any data intensive initiative is hard. However, to drive business improvement from data quality, governance and compliance initiatives, a culture of collaboration is required between data management and business teams. Increasingly, organisations are turning to data quality scorecards and dashboards to enable business and data professionals to define and monitor KPIs (Key Performance Indicators) for data quality. In this presentation, we will discuss how to align data quality KPIs to data governance initiatives in order to get the support of business teams and sponsors. This presentation includes the following:
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| 16:05– 17:05 CONCURRENT SESSIONS | ||||||||||
| Tuesday
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Make Every Record Count: Building
a Single Customer View to Provide a 360 degree View of Your Customers
Kathy Hunter, Information Quality Consultant In today's tough times, it's great to know that one thing is even more valuable than ever - your customer data. This session will explain how to make the most of it all by building a single customer view that meets the needs of both your customers and your organisation. Topics include”
As always, there will be plenty of practical advice and useful
hints and tips. |
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| Tuesday
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Data Categorization Malcolm Chisholm, President, AskGet.com Data is not just a homogenous resource where each piece of data is the same as every other piece in terms of its management needs. There are in fact many different kinds of data each with its own properties, behaviour, and management needs. This presentation describes some of the more important categories, and their implications for data management. Also, some of the better-known data governance requirements are analyzed to show how they too require data to be classified across many different dimensions. The approaches to building independent taxonomies of data are described from a theoretical and practical viewpoints. Care is needed to ensure these taxonomies are workable as well as internally consistent. Infrastructure for recording categorizations is also discussed. Attendees will learn:
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| Tuesday
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The Eternal Triangle– DG-MDM-MI
Julie Radcliffe, Senior Analyst, Standard Life Distinct but linked - can you get one without the other? Julie will supply an overview of how the 3 are inextricably linked. Where do you start? - adopt terrier traits - seize the moment. The frustrations encountered will be discussed and how they were surmounted. How do you progress - start small - hear hints and tips of what helped and what hindered. As Standard Life’s first MDM initiative begins Julie will update the progress to date .
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| Tuesday
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Novo Nordisk Case Study –
Local BI Strategy – Does it Make Sense? Kasper Damsø, System Manager (BSC-system) Novo Nordisk Jørgen Steines, Practice Director, BI, Platon Product Supply in Novo Nordisk – a world leading Danish healthcare corporation and world leader in diabetes - has a very strong Performance Management (PM) culture and around 15 years of experience with PM applications. To get a more holistic view on reporting and analysis Novo Nordisk launched a BI strategy project in 2009. Some of the interesting issues addressed in the strategy work and in this presentation are:
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| Tuesday
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Open Source Tools & Technologies
- a Market Overview Every day a growing number of organizations are attracted by the promise of Open Source software: low cost full featured solutions that will help drive down the total cost of ownership of an IT infrastructure. Software like Linux, OpenOffice, MySQL and Firefox are considered mainstream solutions nowadays and are being widely adopted. But how about solutions for Business Intelligence: are BI Suites like Pentaho or Jaspersoft already mature enough to compete with the established proprietary vendors? Can MySQL serve not only as a transactional, but also as an analytical or a data warehouse database? This session provides a birds eye overview of the tools and technologies available for BI & Data warehousing and points out the relative strengths and weaknesses of the different solutions.
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| Tuesday
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Embedding Applications with Data for Ultra-Fast Insights on Big Data Data warehousing has changed. Learn how Aster Data has innovated on Google’s MapReduce framework, integrating MapReduce and SQL to create a new breed of “Big Data” analytics. Aster Data provides the first MPP data warehouse that allows applications to be fully embedded within the database engine for ultra-fast, rich analysis of massive data sets. This next-generation data warehouse is built on commodity hardware, providing rich analytics at a fraction of the cost of traditional data warehouses. See examples from MySpace, Full Tilt Poker, LinkedIn, and more. |
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| Tuesday |
Drinks Reception Hosted
by DAMA UK |
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