big data strategies financial services & consumer products

LONDON, UK

Cutting Through The Hype On Big Data To Create Strategies And Actions On Implementing Quick Wins With Key Issues Being Discussed Including:

Expert Insights From 20+ Senior Financial Services, Retail, Digital Media and Telecommunications Representatives:

The Only Financial Services Focused Big Data Conference To Draw Benchmarks From Other Industries

Alex Sion President & Managing Director

Movenbank

Ian Worley Executive Director

Morgan Stanley

www.big-data-consumer-finance.com + 44 (0) 800 098 8489 [email protected]

EXAMINING BENCHMARKS WITHIN & OUTSIDE THE FINANCIAL INDUSTRY

HARNESSING THE GOLD MINE OF "UNTAPPED DATA"

TO ENRICH THE CUSTOMER EXPERIENCE,

GENERATE NEW REVENUE STREAMS AND

DELIVER KEY BUSINESS BENEFITS

P LEVERAGING INTERNAL DATA: Pinpointing Opportunities For Using Customer Data To Customise Products, Enrich Consumer Insights And Provide Overall Better Financial Services

P USE OF UNSTRUCTURED DATA: Turning Unstructured Data Into Meaningful Insights: How Can This Data Be Used And What Are The Tools Needed To Capture & Analyse It?

P REAL-TIME TARGETING OF CUSTOMER NEEDS: Understand How To Utilise Internal And Unstructured Data To Tailor And Target Highly Relevant Products And Services At Exactly The Right Time And Place

P CROSS-INDUSTRY CASE STUDIES: Demonstrating Where Brands Have Harnessed Big Data Strategies For Real Business Benefit

P COMBINING DATA SETS INTERNALLY AND EXTERNALLY: Developing Organisational Structures To Enable A Single View Of The Data And Opportunities For Combining Data Sets Across Industries

P MONETISING BIG DATA: Exploring The Potential For Monetising Big Data Externally And Managing Pitfalls, Privacy & Regulatory Concerns

P PRIVACY, SECURITY AND REGULATION: Understanding What Constitutes Responsible Use Of Data From The Customer Point Of View, Regulatory And Legal Perspectives

19th-20th JUNE 2013

Book before 19th April

And SAVE £200Off Standard Pricing!

Organised By:

Michael Muzio Enterprise Director

Towergate Insurance

Andrew Mantis SVP Group Head, Merchant Information Services

MasterCard

Crispin Rogers SVP Loyalty and Merchant Analytics

Visa Europe

Vic Moschitto Director Head of Decision Support & Management

Scotiabank

Matt McNeill Enterprise Solutions Lead EMEA

Google

Chris Gobby Head of mData

EE Everything Everywhere

Steve Martin Director of Insight

Nectar

Barry Panayi Head of Data & Analytics

Virgin

Plus Cross Industry Perspectives From:

Steven Pimblett General Manager Data

Moneysupermarket.com

What Our Past Attendees Said:

Dear Colleague,

Do You Want To Understand How To Cut Through The Hype On Big

Data To Implement Realistic Strategies That Deliver Real Business

Benefit?

If so, then you should join us at the debut Big Data Strategies For

Financial Services & Consumer Products 2013 where you will benefit from

content packed sessions with actionable take aways with insights

from both financial and non-financial service industries.

‘Big data’ presents an enormous opportunity to better target

consumers needs, improve customer communication and loyalty,

reduce risk, and ultimately target more profitable interactions in real

time, across multiple channels.

Although the financial sector has been leveraging internal insight

from transactional data for years, clearly they remain behind

the curve in comparison to their counterparts in the retail,

telecommunications and digital media industries.

This timely conference will bring together world leaders in consumer

insights, data analytics, and business intelligence to examine the

benchmarks within and outside the financial industry, showcasing

the cutting edge in big data strategies to enable you to formulate

pragmatic implementation upon return to your office.

Please take a look at the enclosed agenda and visit:

www.big-data-consumer-finance.com for the fastest way to register.

I look forward to welcoming you to London in June.

Kind regards,

Big Data Strategies Summit Team


Christine Warner, Advisor, IR & Marketing, Hunter Dickinson Inc.

@SocialMedia_CBC was a world class event. I enjoyed it with some inspiring and incredibly bright people. I can't wait until the next one!

Trevor Georgie, Marketing Manager, Maple Leaf Sports

Love when day 2 goes by quickly because of great presenters with relevant content @SocialMedia_CBC

Book before 19th April

And SAVE £200Off Standard Pricing!

London, UK19th-20th June 2013

1 Take away practical insights to help

you form innovative data strategies,

improved analytics, cut costs and drive

higher revenue

2 Tap into cross industry best

practices with case studies

from world leaders in consumer

insights, customer loyalty and data

analytics across Financial Services,

Retail, Telecommunications and

Digital Media, positioning you at the

forefront of innovation in big data

3 Benefit from a thoroughly

researched agenda that pinpoints

clear, actionable and simple strategies

for you to implement upon your return

to the office

4 Assess the scope of opportunities

for monetising big data

externally and combining data sets

with other industries to develop well

rounded insights into customers

needs and behaviours

5 Enjoy exclusive networking

opportunities, including a

networking drinks reception at the

end of Day One; the perfect setting to

intermingle with colleagues, peers

and new acquaintances alike

5 REASONSTO ATTEND

8.50 Chair’s Opening RemarksAlex Sion, President & Managing Director, Movenbank

Strategic Visions For Utilising Big Data: Asking The Right Questions To Define The Objectives, Understanding The

Opportunities And Managing Practical Implementation

CROSS SECTOR OPENING PANEL9.00 Demonstrating Business Benefits Relating To Improved Customer

Experience, Product Targeting And Customisation: Where Have Brands Been Able To Utilise Similar Data To Do Incredible Things?

•Getting a real picture about what you should be doing and how you should be doing it•Benchmarking cross industry successes in utilising data for improved customer

experience management and better targeting of products and services: What can be learnt from the leaders?•Creating clear, simple, actionable strategies that cut through the hype to focus efforts

on the most value-add areas: How do we turn big data into better information?•Deciding what to do with the data, and how this is going to help the business - How do

you ask the right question to get what you want from the data?•Identifying financial pioneers in the digital space to grasp the true value of ‘Big Data’

and how much you should be spending on itAndrew Mantis, SVP, Group Head, Merchant Information Services, MasterCardSteve Martin, Director of Insight, Aimia, NectarDan Bolland, Director Strategy, Business Performance & Analysis, Barclays Andrew McMullan, Head of Strategy & Business Architecture, Royal Bank of Scotland

9.30 Question & Answer Session

CASE STUDY: BEGINNING TO END9.40 From ‘Big Data’ Analysis To A Campaign That Has Made A Real

Difference: How Do We Harness The Information We Have?•Making a big data strategy a reality: Where do you start? How do you define the

objectives?•Identifying the major challenges initially faced and experiences on how to overcome

them?•What tools were most beneficial in supporting big data analytics? How can you identify

value in investment?•Evaluating success: How did the big data strategy improve customer experience,

bottom line profits or add value to products and services?Alex Sion, President & Managing Director, Movenbank


Best Practice Case Studies: How Can You Utilise Internal Data? Revealing Examples In Comparable Businesses Where People Have Been

Able To Harness Data For Real Business Benefit

10.20 – 2.20 Leveraging Internal Transactional Data To Target Customer Needs And Trigger More Profitable Customer Interactions

A) Targeting Customers Needs With Highly Relevant Products And Services

10.20 Harnessing The Power Of Real Time Big Data To Deliver Highly Relevant Products And Services To Customers

•Identifying what customer problems you are trying to solve to better match solutions•Using big data analytics to design bespoke customer loyalty programmes•Empowering customer facing employees with real time consumer insights and desktop

capability to enable them to provide time sensitive services and suggest relevant products•Aligning customer feedback and perspectives with internal matrix data to improve

products and enhance customer experience•Navigating internal data to get a pulse check on what consumers think about a

particular product or the launch of a new ad campaign•Providing customers with tailored suggestions online – how has this been implemented

on e-commerce sites to increase conversion?Steve Martin, Director of Insight, Aimia, Nectar


11.00 Morning Refreshments In Exhibition Showcase Area

B) Identifying New Revenue Streams11.30 Capitalising On Big Data To Detect Opportunities For New Revenue

Streams•Pinpointing opportunities for growth, diversification or general improvement of revenue

streams to increase the internal profitability of the organisation•Understanding what drives consumers to buy particular products to recognise why they

would purchase a particular product from your business compared to another•Identifying potential revenue generation opportunities from new customer segments•Discovering shared learnings from other industries who are creating new revenue

streams in an intelligent way via new digital engagementChris Gobby, Head of mData, EE Everything Everywhere


C) Providing Better Financial Services And Advice To Customers12.10 Practically Operationalising The Data And Leveraging The Weight Of The

Analytics To Provide Direct Day-To-Day Benefits To Customers•Exemplifying how to leverage analytics to give better informed advice to clients to save

them money, improve customer experience and promote life long relationships with the brand•Enabling customer service ground staff to gain a clear view of insights about customers to

provide personalised advice and service at every level of the business•Using historical data to prevent customers from making mistakes – how can this be

practically implemented and communicated?•Leveraging the whole weight of analytics to benefit both high level strategic marketing

drives as well as customer facing areas of the organisationEd Lecky-Thompson, Head of Digital, Charles Stanley


12.50 Networking Lunch In Exhibition Showcase Area

D) Managing Risk1.50 Integrating Traditional Customer Relationship Databases With Online

Behavioural Data To Build A More Robust Picture Of Customer Credit Risk•Harnessing the power of big data analytics to better understand potential clients and their

financial situation•Using digital methodologies to better manage risk and improve the profitability of the

company by reducing losses•Minimising the risk of lending to small-medium sized businesses by adopting improved

business loan models which take into account more factors than unconventional business models•Practical lessons to understand losses using economic input into forecasts and models:

Building economic models that react to current economic trendsMichael Muzio, Enterprise Director, Towergate Insurance


Organisational Structures To Support The Practical Implementation Of Big Data Strategies

COMBINING DATA SETS INTERNALLY2.30 Creating A Single View Of The Data To Enable Practical Implementation Of A

More Customer-Focussed Approach•Outlining the benefits of combining data sets internally: How will the company profit from

a single view of the data?•Practical explanations of how to break down department silos: What are the steps that

need to be taken to merge internal data?•Overcoming internal organisational cultures preventing data merging: How can you

encourage data sharing within the organisation for the greater good of the company?•Determining which data should not be shared: How to protect sensitive data while

promoting cohesion across the organisationBarry Panayi, Head of Data & Analytics, Virgin


3.10 Afternoon Refreshments In Exhibition Showcase Area

CROSS INDUSTRY PANEL: CUSTOMER CENTRIC ORGANISATIONAL STRUCTURES

3.40 Evaluating Organisational Structures That Support A Customer Centric View Of Data

•What organisational structure or business model will support big data as an asset?•Setting the record straight and answering the question: Who should own big data?•Outlining the benefits of remodelling organisational structures around big data to combine

data silos and merge information for the greater good of the business•Identifying business models in alternate industries which have succeeded in changing

their business model to reflect a more customer centric structureAlan Grogan, Director of Analytics & Value Optimisation, Royal Bank of Scotland


SEGMENTING DATA AND CUSTOMER PROFILES4.20 Driving Forward The Single Customer View Through Micro Segments,

Segment Based Pricing And Consumer Profiles•Examining ways to slice up the data to enhance marketing efforts and provide a more

tailored approach for the customer•What is the best way to segment consumer profiles into sections - transaction behaviour,

age, wealth or other characteristics?•Understanding how to generate trackable data sources to evaluate how micro segments of

customers wish to interact with the business•Exploring potential for micro segmenting to drive better propensity modelling

Vic Moschitto, Director Head of Decision Support & Management, Scotiabank4.50 Question & Answer Session

5.00 Chair’s Closing Remarks

5.10 – 6.10 Networking Drinks Reception In Exhibition Showcase Area

Day 1WEDNESDAY, 19th JUNE, 2013


UTILISING INTERNAL DATA FOR IMPROVED CUSTOMER EXPERIENCE MANAGEMENT AND BETTER TARGETING OF PRODUCTS AND SERVICES

Day 2


8.50 Chair’s Opening Remarks

Privacy And Regulation: Responsible Use Of Data From Customer, Legal And Regulatory Perspectives

CUSTOMER VIEW9.00 Understanding The Customer View On What Constitutes Responsible Use

Of Data: What Trade-Offs Are Likely To Be Acceptable To Customers?•Understanding the boundaries for consumer privacy in terms of specific types of

financial information: Where do you draw the line?•Evaluating customer receptivity to financial services accessing their personal non-

financial information: What is considered sacred ground? How are these views changing?•Ascertaining consumer opinion on financial services using the cloud to store data•Discovering the roadmap towards bringing together social media profiles with financial

profiles: How to provide the Facebook trade off?Steven Pimblett, General Manager, Data, Moneysupermarket.com


HOW TO EDUCATE CUSTOMERS9.40 Educating Customers On The Benefits Of Big Data Analytics In Terms Of

Anticipating Their Needs Quicker, Increasing Convenience, And Helping Them Improve Their Financial Situation

•Working with customers to make clear the difference between invasion of privacy and valuable knowledge that will benefit them directly•Promoting transparent communications and good practice with consumers on how

their information is being used and how it will improve their services•Redesigning a more positive marketing strategy and overcoming sensitivity around

spam and email marketing•Understanding learnings on how to educate customers in situations of disruptive

change to realise the benefit and detract from the negativeColin Gibson, Head of Data, Global Banking & Markets, Royal Bank of Scotland


LEGAL AND REGULATORY PERSPECTIVE10.20 Taking A Legal Perspective To Evaluate How The Regulatory Landscape

Is Likely To Develop With Respect To Big Data, Security And Privacy For Financial Services

•Benefits of taking a proactive approach to self regulating the limits of customer privacy in the financial services arena: Setting the guidelines for appropriate use of data•Understanding the legal limits to how far financial services can use consumer data:

What are the ‘watch outs’?•Legal views on how regulation may be formed around privacy and consent between the

UK and Europe as well as globally•Forecasting the potential for legislation requirements as big data becomes more prevalent•Identifying examples from other industries to understand how regulation may be

shaped with regards to big data security and privacyRepresentative from the FSA, speaker to be confirmed shortly…


11.00 Morning Refreshments In Exhibition Showcase Area

Capitalising On Opportunities With Unstructured Data And Understanding How To Practically Manage To Gain Useful Insights

USE OF UNSTRUCTURED DATA11.30 Turning Unstructured Data Into Useful Insights: How Can You

Meaningfully Use The Daily Expanse Of Social Media Interactions And Conversations To Drive Value?

•How to interpret big data to zero in on key pieces of information: What interpretive analysis techniques will make the salient pop out?•Understanding how your customers online likes and preferences will help improve

products, services and marketing efforts•Turning big data into better information by understanding how to drive value from

unstructured data•How to maintain context and sentiment of unstructured data to ensure meaningful use

of social media interactions and conversationsIan Worley, Executive Director, Morgan Stanley


CAPTURING & ANALYSING UNSTRUCTURED DATA12.10 What Tools Do You Need To Unleash The Potential Of Unstructured Data?

How Do You Maintain A Database With Every Piece Of Data, Analyse And Quantify It?

•Identifying what tools an analyst needs to collect, harvest and analyse unstructured data effectively: What is available? Who is using it? Why should I invest in it?•Planning effectively for the future by pinpointing what infrastructure is necessary to

provide a solid core system to support new data sources

•Forecasting potential complications transitioning from the current data infrastructure such as storage•What tools are used by non-financial industries to unleash the potential of unstructured

data?Andrew McMullan, Head of Strategy and Business Architecture, Royal Bank of Scotland


12.50 Networking Lunch In Exhibition Showcase Area

Blending Unstructured And Structured Data And Evaluating External Opportunities To Monetise Big Data

INTEGRATING STRUCTURED AND UNSTRUCTURED DATA1.50 Approaches For Joining Social Media Profiles With Financial Profiles: How

Can This Data Be Utilised While Maintaining Privacy?•Uncovering views on the roadmap for incorporating social media and matching up with

financial profiles•Practical demonstrations on how to marry structured data with unstructured data: How do

you tabulate unstructured data in a measurable way?•Outlining the benefits for merging structured data sources with unstructured data: In what

ways will an organisation benefit?•Identifying the quick win opportunities for blending structured and unstructured data: How

can I see the benefit with the least amount of investment?•Understanding how social media companies use customer information to identify

opportunities for joining data profilesCrispin Rogers, Senior VP Loyalty & Analytics, Visa


EXTERNALLY COMBINING DATA SETS2.30 Blending Data Sets With Other Industries To Develop Well Rounded Insights

Into Customer Needs And Behaviours: What Opportunities Are There For New Types Of Business Partnerships?

•Identifying potential industries it would be beneficial to merge with: What information would be valuable to know about consumers?•Showcasing the benefits of blending data with other industries: What are the business

opportunities, partnerships and overall benefits of accessing external data?•What customer information can we leverage to benefit other industries? How much

weighting does consumer financial information hold?•Troubleshooting the potential roadblocks: What are the restrictions for what data you can

match and what you can’t match?Matt McNeill, Enterprise Solutions Lead EMEA, Google


3.10 Afternoon Refreshments In Exhibition Showcase Area

DIGITAL CHANNELS AND THE CUSTOMER JOURNEY3.40 Using Big Data To Understand How Customers Interact Across Digital

Channels: How Much Should Be Invested In Each Channel And How Can We Drive Value Off The Back Of It?

•Understanding consumers digital channel choice for desktop, tablet and mobile device to decipher how much should be invested into each channel for which products•Optimising path to purchase for specific financial products on particular channels to

improve customer journeys and drive value to actual purchase•Uncovering how certain consumer groups research financial services and what their

channel choice is for actual purchase•Providing robust insight into how to use data to serve more relevant messages throughout

different stages: What information do consumers want to be provided with and when?•Taking shared learnings from digital companies to understand use of click stream data

and how to optimise digital services to improve the customer experience: What works and what doesn’t work?Damien Daly, Head of Marketing & Customer Analytics, Bank of Ireland


CROSS INDUSTRY PANEL: MONETISING BIG DATA4.20 Assessing The Scope Of Opportunities For Monetising Big Data Externally:

Managing The Pitfalls, Privacy Issues and Regulatory Concerns•How can we or should we monetise data externally?•Understanding the value of financial services data to external entities, how would other

businesses benefit from understanding financial services data?•Which elements of data would be acceptable to monetise? What are the limitations?•What would be the potential ramifications of externally monetising big data?•What is the regulatory situation on monetising big data? What are the legal limits?

Andrew Mantis, SVP Group Head, Merchant Information Services, MasterCardChris Gobby, Head of mData, Everything EverywhereVic Moschitto, Director Head of Decision Support & Management, Scotiabank


5.00 Chair’s Closing Remarks

5.10 End Of Conference

THURSDAY, 20th JUNE, 2013

MANAGING PRIVACY ISSUES, MEANINGFULLY USING UNSTRUCTURED DATA AND IDENTIFYING OPPORTUNITIES WITH EXTERNAL DATA

DEMONSTRATE THOUGHT LEADERSHIPFinancial service companies are actively evaluating their core data management systems and

are looking to invest in systems to store, interpret and analyse large amounts of structured

and unstructured data. You may be pioneering these advances, but do your customers know

what differentiates you from your competitors? Use targeted, editorially reviewed keynotes

and case studies to demonstrate thought leadership to your target audience.

RAISE BRAND AWARENESS AND INCREASE YOUR PROFILEAny solutions selected by financial service companies must be subjected to careful

comparative cost-benefit analysis. Of course they will take into account, profile, credibility

and market leadership when selecting suppliers to enable their big data strategy. Your

organisation must be at the forefront when these decisions are made. Cement your leadership

position with targeted branding and profiling campaigns directed at senior executives in the

financial sector.

MEET AND NETWORK WITH DECISION MAKERSThought leadership, branding and profiling are converted into contracts through extensive

face-to-face relationship building. As a dedicated event to the financial services industry, this

intimate forum enables you to meet specific job titles in one place at one time, giving you the

best possible chance of influencing key decision makers.

To secure your booth or discuss tailor-made sponsorship packages, contact:

Gerard Waldron+44 (0) 800 098 84 89+ 44(0) 208 886 4694

[email protected]

Big Data Strategies for Financial Services & Consumer Products 2013 offers a unique platform for you to deliver your message, raise awareness and network with industry leaders responsible for their company’s consumer insight, customer loyalty and data analytics strategy.

42% Financial Services (Banks, Credit Cards, Insurers, Online Banking)

ü Alex Sion, President & Managing Director, Movenbank

ü Ian Worley, Executive Director, Morgan Stanley

ü Andrew Mantis, SVP Group Head, Merchant Information Services, MasterCard

ü Crispin Rogers, SVP Loyalty and Merchant Analytics, Visa Europe

ü Vic Moschitto, Director Head of Decision Support & Management, Scotiabank

ü Andrew McMullan, Head of Strategy & Business Architecture, Royal Bank of Scotland

ü Steven Pimblett, General Manager Data, Moneysupermarket.com

ü Michael Muzio, Enterprise Director, Towergate Insurance

ü Dan Bolland, Director Strategy, Business Performance & Analysis, Barclays

ü Alan Grogan, Director of Analytics & Value Optimisation, Royal Bank of Scotland

ü Ed Lecky-Thompson, Head of Digital, Charles Stanley Direct

ü Damien Daly, Head of Marketing and Customer Analytics, Bank of Ireland

ü Marco Petranzan, Head of Data, Moneysupermarket.com

ü Colin Gibson, Head of Data, Global Banking & Markets, Royal Bank of Scotland

ü Matt McNeill, Enterprise Solutions Lead EMEA, Google

ü Chris Gobby, Head of mData, EE Everything Everywhere

ü Steve Martin, Director of Insight, Nectar

ü Barry Panayi, Head of Data & Analytics, Virgin


SPONSORSHIP OPPORTUNITIESAT THE BIG DATA STRATEGIES SUMMIT

Who Will You Meet?

Job Titles You Will Meet

Venue Information

Achieving Your Marketing And Business Objectives At The Summit:

FULL SPEAKER LIST:

15% Other Industries (Retail, Digital Media, Telecommunications)

36% Technology Providers

7% Regulators, Media, Associations

ü Consumer Insight

ü Digital Strategy

ü Customer Loyalty

ü Data Analytics

ü Customer Relationship Management (CRM)

ü Customer Engagement

ü Data Strategy

ü Customer Intelligence/Analytics

ü Marketing

ü Web Strategy/Online Strategy

ü Digital Channels

ü E-commerce, E-business, and E-marketing

ü Customer Experience

ü Web Analytics and Business Analytics

ü Content Strategy

The Summit Will Be Held In London.

I would like to register the delegate(s) below for the 2 day conferenceBIG DATA STRATEGIES - Financial Services & Consumer Products 2013

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DELEGATE RATES We have team discounts so you can involve your whole organisation or team

Guests are responsible for their own travel and accomodation arrangements.

Early Booking Discount Early Booking Discount Standard Rate Book and pay before 19th APRIL 2013 Book and pay before 17th MAY 2013 From 18th MAY 2013

2 Day Conference + Conference Audio Proceedings * £1,099 +VAT * £1,199 +VAT * £1,299 +VAT

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No Attendance - Presentations Materials inc. Conference Audio Materials * £399 +VAT

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Terms and ConditionsThe conference is being organised by London Business Conferences, a limited liability company formed under English company law and registered in the UK no. 5090859.Cancellations received one calendar month (or the previous working day whichever is the earliest) before the event will be eligible for a refund less £75 administration fee. Cancellations must be made in writing. After that point no refund can be made. If you are unable to attend, no refund can be given but you may nominate a colleague to take your place.

London Business Conferences reserves the right to alter or cancel the speakers or program.Receipt of this booking form, inclusive or exclusive of payment constitutes formal agreement to attend and acceptance of the terms and conditions stated.*If you are claiming the early booking discount this may not be used in conjunction with other discounts advertised elsewhere.We would like to keep you informed of other London Business Conferences products and services. This will be carried out in accordance with the Data Protection Act.

Please write to the Head of Marketing, London Business Conferences at the address below if you specifically do not want to receive this information.London Business Conferences.First Floor 44-46, New Inn Yard, London EC2A 3EY, UK.London Business Conferences will not accept liability for any individual transport delays and in such circumstances the normal cancellation restrictions apply.London Business Conferences Limited, Registered in England No. 5090859

HOW TO REGISTER

Please Return Your Completed Registration Form To Our Customer Service Team

Call + 44 (0) 800 098 8489

Fax + 44 (0) 845 8678109

Email [email protected]

Online www.big-data-consumer-finance.com

Address First floor, 44-46 New Inn Yard, London EC2A 3EY, UK


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