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Keynote:
The
Business Case for Customer Information Governance Far from being impoverished most corporations exhibit signs of being overwhelmed and engulfed in data. From this Niagara cascades the conflicting, incomplete and fragmented reports that are the direct historical legacy of the functional stove-piping of operational information systems. This problem, the architectural miasma, is largely the result of the piecemeal automation of various business processes over four decades of computerization and now presents many organizations with an apparently insuperable obstacle to achieving any useful level of customer insight. At the same time the race is on to rapidly develop customer profiling and segmentation capabilities as more and more businesses are demonstrating the superiority of differentiated marketing over traditional mass marketing techniques. In this keynote presentation Sean Kelly presents the business case for achieving an integrated customer information governance capability in the enterprise. He will explore the business drivers as well as the organizational obstacles that will be encountered and will share his extensive experience of making this journey with many leading global enterprises. |
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| Wednesday 6 February 10:0010:30 |
Break & Exhibits |
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The
Benefits of Data Governance in Both Structured and Unstructured Data: A Practical Example Chris Saunders, Detica Limited & Olliver Robinson, Transport for London Much talk around data governance is focused on structured data. Getting this right is crucial, but this is often less than 10% of all data stored – and it’s the unstructured side, which is exploding in volume. This presentation will:
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A
Step-By-Step Approach to Data Governance Communications Gwen Thomas, The Data Governance Institute Data Governance requires constant communications between programme staff, executives, stakeholders, stewards, and members of cross-functional teams. Successful programmes employ a structured, methodical approach and easy-to-use tools. This session takes a step-by-step approach to governance communications. We show how to break communications into a series of manageable tasks. Then, for key tasks, participants see real-life examples of successful communication pieces and learn how to replicate them. Attendees will learn to:
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Data
Management and Data Governance: The Journey to High Performance Nick Millman, Senior Director, Accenture Information Management Services Effective data management and data governance go hand-in-hand as key enablers of high performance. High performing organizations understand the importance of data as the foundation of the insights that will support better decision making and enable them to comply with regulations, reduce risk, improve operational efficiency and increase customer satisfaction. Citing examples from Accenture's client work and recent global CIO survey, this session will discuss the real life implications of putting Data Management and Data Governance at the centre of a holistic Information Management approach. |
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| Wednesday
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The Impact of
Proper Data Governance: Organization, Data, and Metadata Data Governance is important - without the concept of a clear "owner" (or owners) of the data, decisions can rarely be made or enforced. At Wells Fargo, a series of committees was formed to define and enforce data governance, including stewardship of data elements, common business rules, and techniques for documentation and communication. In this presentation you will learn:
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The
Constant Gardener -- Growing a Data Governance Programme Nigel Turner & Dave Evans, BT This presentation explores what is really important to businesses in terms of data quality (DQ) and how the absence of any DQ improvement methodology or governance in the DQ space encouraged or even forced BT to develop its own. The presentation then explains this methodology and shows how it has generated over a billion US dollars of return on investment for BT and how BT is now deploying this for its enterprise customers. It also looks at the way that Governance was applied to both the business and IT functions to ensure that resources, financial, technical and people were deployed judicially. Lastly it considers what the data quality professional community can and should do to drive DQ improvement forward and higher up the corporate agenda. |
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Data
Governance: From Idea to Execution Colin Rickard, Managing Director, DataFlux UK Ltd Levels of data governance in today’s enterprises range from undisciplined through to governed, where does your organisation sit? The data management maturity of an organisation can be measured on the DataFlux Maturity Model. After initially identifying a place on the maturity model, this presentation will inform the audience about different pro-active steps to move forward with data governance and develop a clear framework appropriate to different levels of maturity. Attendees will receive practical ‘how to’ advice to ensure strategy is translated into effective action, and the major challenges of ‘doing data governance’ will be investigated. |
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| Wednesday 6 February 12:3013:45 |
Lunch & Exhibits | |||||
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Simple Data Stewardship
in a Complex Organization “Make everything as simple as possible, but not simpler” – Albert Einstein. How can we simplify Information Stewardship, but not too much? Based on his experience in a large, heterogeneous, multi-national, b2b corporation, Chris and Neil will present a stewardship model that
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Data Governance
at Nestlé Nestlé is beginning to provide worldwide visibility of its data quality and data management performance, and to provide tools to enable markets to take corrective measures and to drive continuous improvement. Thanks to the Data Quality Framework (DQF), Nestlé has established common methods, definitions, tools, processes, and roles and responsibilities to measure the ‘as is’ and monitor the evolution of data quality in the corporation, including SAP data. The DQF will be a key enabler for Nestlé to leverage information for decision support and to facilitate our transition from an implementation focus to a sustain and leverage organization. Six data dimensions have been defined within the DQF (uniqueness,completeness, accuracy, non-obsolescence, consistency, and timeliness). The key to these are the supporting Business Rules which have been defined in conjunction with the Functions and Process Teams, and derived from the Data Standards and the Data Management Best Practices. A subset of these KPIs and anomaly reports are calculated and published on the Nestlé’s intranet enabling an increasing degree of governance of our data. We still have a long way to go before we achieve our 100% data quality. However, the early trends are at least in the right direction, and to some extent what we have done already is ahead of the industry in general. |
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Utilizing an Effective Support Team
to Enhance Data Governance in an MDM Environment Support teams are often thought of as more or less of a break-fix operation. When something doesn’t go right, the support group is the one expected to correct the issue. While this indeed does occur, a properly established and trained support team can present much more value to an organization than simple break-fix. In an MDM environment, the support team can monitor and proactively enhance the governance guidelines that have (or maybe haven’t) been established. In this presentation, we will review and discuss the various methods that have proven to be successful in:
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From Principles to Reality: The Hard
Work of Data Governance in Practice Data Management principles like "accountability at the source" or "invest in data scrub projects only when you are able to protect clean data going forward" are common sense and well-known among data management professionals. But how can you make these and other principles work in practice? What kind of support do you need from senior management, from the IT Department, and from the subject matter experts to launch a data governance initiative? What do you need to give back to the business to build credibility and deliver on your mandate? Peter brings a theoretical framework for assessing data management maturity across of variety of institutions and businesses. Elizabeth is a practicing data management professional with the war stories and practical experience of building an "information quality" function from the ground up in a large, global financial institution over the last five years. Areas for discussion include:
Data governance as a function is never "done", it never gets easier, and it's always political. Learn how to work hard but smart to provide effective data governance in any organization. |
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| Wednesday 6 February 15:4516:15 |
Break & Exhibits | |||||
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Panel Discussion: This panel discussion will focus on real life experiences of practitioners in starting and deploying data governance and data stewardship programmes. Topics include:
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