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Successful data warehousing and mining can transform a business performance dramatically. This unique conference will explore the various ways that data can be organised in order to increase its value.

As a senior finance executive, you will be aware of the importance and potential of this field. We would therefore like to invite you to register for SMi’s Data Mining for Financial Services. As you will see from the brochure, it will address increasing competition in the financial service sector, both in terms of winning and retaining customers.

The conference offers you the opportunity to ensure that your company’s data is used effectively to reap financial rewards. Attend to discover the reality of designing a data warehouse and employing data management techniques.

Conference programme

8:30 Registration and Coffee

9:00 Chairman's Opening Remarks

Craig Wylie

Craig Wylie, UK Lead Data Warehousing, Pricewaterhouse Coopers

Martin Smith

Martin Smith, Principal Consultant, PA Consulting Group


Clifton Hughes

Clifton Hughes, Principle Consulting, Logica

  • What kind of people do data mining?
  • Technical or business oriented, individual or team effort
  • Who cares about history?
  • ‘History is mostly bunk’ v. history as the sole source of wisdom
  • How do you make it make a difference?
  • Feeding the insights back into the business processes

    Geoff Ables

    Geoff Ables, Vice President, First Union Corporation

  • Control your interests in the marketing intelligence system and database design
  • Use the company’s services to promote the sharing of marketing information within the group
  • The opportunity of data warehousing to ensure growing presence within the financial services arena
  • The importance of establishing a comprehensive and accessible data warehouse in order to identify and develop new markets
  • Some practical examples of the advantages that can be derived from a efficient and effective data warehouse
  • 10:20 CASE STUDY

    Doye Henri Yudowi

    Doye Henri Yudowi, Vice President and European Head of Data Management, JP Morgan Investment Management

  • What data warehousing is and what it is not
  • What differentiates a data warehouse from an operational datastore
  • Why you cannot use the old systems you already have
  • The difference between success and failure : a fine line
  • Developing data mining segmentation techniques to optimise the value of your data
  • 11:00 Morning Coffee


    Lynette Stassen

    Lynette Stassen, Client Relations Manager, Old Mutual Insurance

  • What data means in business terms
  • Uncover those hidden relationships in customer data
  • Use data mining results to enhance customer profitability and life time value
  • Automate the process of evaluating and managing campaigns through technology
  • Critical tools to dig through results and learn from them
  • 12:00 CASE STUDY

    Ian Wilson

    Ian Wilson, Head of Database Marketing, Royal Bank of Scotland

  • The use of data warehousing and data mining in creating customised marketing plans
  • The benefits of increasing the capacity of your data warehouse
  • The capabilities of data mining to help you focus on vital information that is contained within your data warehouse
  • Data mining as a potential pay-back for all the time and money invested in data warehousing
  • Using your data to understand individual customer needs, by creating customised sales proposals
  • Offer the appropriate products at the most opportune time
  • 12:40 Lunch


    Mike Blake

    Mike Blake, Data Marketing Consultant, Software Business N.Europe, IBM

  • Warehousing is all about data collection and making it available to corporate users
  • If it takes years and costs millions before getting results you are doing it wrong!
  • Your data is usually duplicated sometimes contradictory and often plain wrong, how do you fix it?
  • Capitalise on the value of the organisations data, all the data, in many forms on many systems
  • Use your data mining software to discover previously undetected facts about your customers
  • Build the data warehouse, integrate the technology components and create an operational system

    Mark McCluskey

    Mark McCluskey, Director, Knowledge Architecture

  • Knowledge has been described as the currency of the 21st Century. What part will data warehouses and data mining play in the global knowledge economy?
  • What are the implications for financial service companies turning to the Internet as the predominant channel for customer relationship activity?
  • How will the lessons learned from mining structured databases be applied to the explosion of unstructured knowledge sources in a global connected economy?
  • How will the emergence of corporate knowledge portals influence the traditional data warehouse, mining and visualisation strategies and processes?
  • Knowledge will both guide and differentiate Financial Services companies in the next century.
  • What lessons can be learned from successful knowledge-based organisations in terms of building more profitable customer relationships?
  • 15:00 CASE STUDY

    David Ramono

    David Ramono, Principal Data Mining Programme Manager, SAS Institute

  • Data mining to help allocate your advertising strategy
  • Using your data mining techniques to improve the effectiveness of your marketing campaigns
  • Create a bespoken marketing tool reflecting the demographics and lifestyle of your customers
  • Plan an effective media strategy via your data warehouse
  • Bear in mind that the process is on-going and it will be hard work and require much commitment
  • Create flexibility within your direct marketing campaigns using your data mining techniques
  • 15:40 Afternoon Tea

    16:00 CASE STUDY

    Jon Orme

    Jon Orme, Business Consultant, Intrinsic

  • A strategy for survival in the future
  • Customer relationship management is not a quick solution, it is a long term approach that must be adopted at a strategic level
  • Attain the potential to transform profitability and help the business to compete with new entrants
  • Technological initiatives to aid in strategies of customer relationship management
  • CRM can be seen as the catalyst to creating a customer-centric organisation

    Dennis Slattery

    Dennis Slattery, Head of Information Strategy and Database Design, I and O Systems Corporation

  • Managing change: challenges facing the asset management and investment banking sectors
  • Making business needs drive the development of a data warehouse
  • An architecture for collection, organisation and distribution of information
  • Core data designs for financial systems - people, accounts, positions and investments
  • Essential tools that are flexible and scaleable for the enterprise
  • Key Strategies and tactics for a successful implementation
  • 17:00 Chairman’s Closing Remarks and Close of Day One

    8:30 Re-registration and Coffee


    Jon Page

    Jon Page, Director of Business Information and Warehousing, Oracle

  • Justify the costs of this enormous outlay
  • Using a data warehouse for profitability metrics
  • An overview of how data warehousing can be employed for activity based costing and economic value added
  • How your data warehouse can solve problems of measuring customer profitability
  • Producing measurable returns on investment
  • Maximise your revenue spend by highly segmenting your market through highly targeted campaigns

    Mike Carroll

    Mike Carroll, Technical Manager, Barclays

  • Avoid the increasing risk of bad debts and gain new customers
  • Define the profiles of high-risk clients and use this knowledge when applications from potential clients are assessed
  • Data mining can leverage information from legacy systems to provide better assessments that ‘learn’ customer profiles
  • Data mining helps in not only rejecting bad debt clients but identifies ‘Rising Star’ clients and enables risk adjusted pricing policies
  • One stream or method projects pose a higher implementation risk than a ‘voting’ models methodology
  • Recent advances have shown the advantages of multiple models can outweigh the complexity issues raised

    Chris Nelson

    Chris Nelson, Business Development Manager, Quadstone

  • Effective exploitation of mining technology to enhance the marketing efforts
  • Evaluating patterns and relationships to achieve profitable direct marketing campaigns
  • Some practical examples and lessons learnt from present case studies
  • 11:00 Morning Coffee


    Neil Hutton

    Neil Hutton, European Product Manager, Ardent Software

  • 80% of the effort in Data Warehousing is the collecting, formatting and cleansing of the data. Yet this gets 2% of the attention
  • Learn to avoid the classical pitfalls along the way
  • Understand the types of software tools needed to automate these resource hungry processes
  • Build a data warehouse with less effort

    John Ozimek

    John Ozimek, Database and Targeting Consultant, Basix

  • Use your data to fuel growth and increase profits
  • Data mining to get a better return from your technology investments
  • Upgrade your tools and technology to analytical applications and business metrics to deal with future requirements for data mining
  • Future trends in the use of data warehouses and data mining in financial service strategy and marketing
  • The importance in the future of alliances and partnerships to succeed in data mining
  • 12:40 Lunch


    Craig Wylie

    Craig Wylie, UK Lead Data Warehousing and Business Intelligence, Pricewaterhouse Coopers

  • Understanding the family relationship within multiple products in a large Swiss Financial Institution
  • Data Warehousing as a feeder system
  • Information life cycles within the data warehousing and data mining environment
  • The choice of tools and technology available
  • The business implications
  • The privacy issues and ethical issues raised

    Dave Berry

    Dave Berry, Marketing Manager, Acta Technology

  • Clarifying how data warehousing and data visualisation can enhance business performance
  • An analysis of the data to keep and store and the data which should be destroyed
  • Evaluating patterns and relationships - determining whether something is co-incidental or fact
  • An overview of the potential costs and benefits of data warehousing
  • Some practical examples and lessons learnt from present case studies
  • Exploring the data warehousing techniques - examining the tools to fit the market place
  • 15:20 Afternoon Tea


    John MacGregor

    John MacGregor, Analytical Applications Manager, Seagate Software

  • Understand the benefits and problems associated with the use of data mining in financial service organisations
  • Identify the key factors for successful data mining
  • An overview of the 10 most frequent mistakes in developing and implementing data mining projects
  • Incorporate the long term view into your data mining strategies in the face of constant change
  • Understand the key business and technology issues in data mining construction and implementation

    John Matthews

    John Matthews, Editor, Customer Relationship Management Portal, Co-Editor, Customer Relationship Technology in Finance

  • The importance of customer, market and campaign data of excellent quality
  • Data challenges for marketers
  • The characteristics of the data warehouse
  • Building an in house data warehouse
  • Measuring total customer profitability with a unified view of the customer
  • Using the data warehouse for predictive marketing and customer retention
  • 17:00 Chairman's Closing Remarks and Close of Conference



    Data Quality: The CRM Initiative Killer

    Data Quality: The CRM Initiative Killer

    The Hatton, at etc. venues
    6th October 1999
    London, United Kingdom

    Data Quality: The CRM Initiative Killer

    Data Quality: The CRM Initiative Killer

    The Hatton, at etc. venues
    6th October 1999
    London, United Kingdom

    Data Mining for Financial Services

    Data Mining for Financial Services

    The Hatton, at etc. venues
    6th October 1999
    London, United Kingdom

    Data Mining for Financial Services

    Data Mining for Financial Services

    The Hatton, at etc. venues
    6th October 1999
    London, United Kingdom

    The Hatton, at etc. venues

    51/53 Hatton Garden
    London EC1N 8HN
    United Kingdom

    The Hatton, at etc. venues



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    CPD stands for Continuing Professional Development’. It is essentially a philosophy, which maintains that in order to be effective, learning should be organised and structured. The most common definition is:

    ‘A commitment to structured skills and knowledge enhancement for Personal or Professional competence’

    CPD is a common requirement of individual membership with professional bodies and Institutes. Increasingly, employers also expect their staff to undertake regular CPD activities.

    Undertaken over a period of time, CPD ensures that educational qualifications do not become obsolete, and allows for best practice and professional standards to be upheld.

    CPD can be undertaken through a variety of learning activities including instructor led training courses, seminars and conferences, e:learning modules or structured reading.


    There are approximately 470 institutes in the UK across all industry sectors, with a collective membership of circa 4 million professionals, and they all expect their members to undertake CPD.

    For some institutes undertaking CPD is mandatory e.g. accountancy and law, and linked to a licence to practice, for others it’s obligatory. By ensuring that their members undertake CPD, the professional bodies seek to ensure that professional standards, legislative awareness and ethical practices are maintained.

    CPD Schemes often run over the period of a year and the institutes generally provide online tools for their members to record and reflect on their CPD activities.


    Professional bodies and Institutes CPD schemes are either structured as ‘Input’ or ‘Output’ based.

    ‘Input’ based schemes list a precise number of CPD hours that individuals must achieve within a given time period. These schemes can also use different ‘currencies’ such as points, merits, units or credits, where an individual must accumulate the number required. These currencies are usually based on time i.e. 1 CPD point = 1 hour of learning.

    ‘Output’ based schemes are learner centred. They require individuals to set learning goals that align to professional competencies, or personal development objectives. These schemes also list different ways to achieve the learning goals e.g. training courses, seminars or e:learning, which enables an individual to complete their CPD through their preferred mode of learning.

    The majority of Input and Output based schemes actively encourage individuals to seek appropriate CPD activities independently.

    As a formal provider of CPD certified activities, SMI Group can provide an indication of the learning benefit gained and the typical completion. However, it is ultimately the responsibility of the delegate to evaluate their learning, and record it correctly in line with their professional body’s or employers requirements.


    Increasingly, international and emerging markets are ‘professionalising’ their workforces and looking to the UK to benchmark educational standards. The undertaking of CPD is now increasingly expected of any individual employed within today’s global marketplace.

    CPD Certificates

    We can provide a certificate for all our accredited events. To request a CPD certificate for a conference , workshop, master classes you have attended please email events@smi-online.co.uk

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