Predictive Analytics Innovation

Gain greater insight with Predictive Analytics

March 27 & 28, 2014Intercontinental Grand Stanford, Hong Kong

Confirmed Speakers

Confirmed Speakers • Director, CRM Program, Estee Lauder • Area Change & OD Lead, British American

Tobacco • Director, Customer Analytics, Aegon• Head of Equity Quant Analytics, Nomura• Head of Customer Intelligence, Prudential• Head of Portfolio Management, Standard

Chartered Bank• Manager, Business Intelligence, A.S. Watson

• Head of Decision Science, China Construction Bank

• Director, Customer Value Management, AIA• Head of CRM, Asia, Aegas• Director, Business Intelligence, UBM• Head of Fraud & Information Security, Société

Générale• Chief Risk Officer, Haitong International

Securities

Who Will You Meet?There is no question that IE. provides the gold standard events in the industry and will connect you with decision makers within the analytics industry. You will be meeting senior level executives from major corporations and innovative small to medium size companies.

Job Title Of Attendees

President/Principal

SVP/VP

C-Level

Snr. Director/Director

Global Head/ Head

Snr. Manager/Manager

Academic (1%)

78%

1000+ Employees300-999 Employees50-299 EmployeesLess than 49 Employees

Company Size Of Attendees

8%

11%

25%56% 81%Attendees are

companies with at least 300

employees

3%

21%

12%

42%

13%

8%

Attendees are at Director level or above

Past Delegates include

• Director, Analytics, Ask.com

• Director, Insight, Red Bull

• Vice President, Google

• Senior Director, Starbucks

• Director, Analytics, Coca-Cola

• Director, Insight, EA Electronic Arts

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The Predictive Analytics Innovation Summit brings together thought-leaders from the industry for an event acclaimed for its interactive sessions and high-level speakers.As many organizations are now working with unmanageably large data sets, the importance of using and maintaining an analytics platform which can cope with this scale of information is essential. This presents both a challenge and opportunity as organizations must identify patterns and gain actionable results in order to gain a crucial advantage over competitors. Illustrated

intermittently with case studies, interactive panel sessions and deep-dive discussions, this summit offers solutions and insight from the leaders operating in the Predictive Analytics space. Predictive Analytics Innovation will help your business understand & utilize data-driven strategies and discover what disciplines will change because of the advent of data. With a vast amount of data now available, modern businesses are faced with the challenge of storage, management, analysis, visualization, security and disruptive tools & technologies.

About The Summit

Confirmed Speakers

Alex is currently the Director of Customer Intelligence Analytics at Prudential Regional Office in Hong Kong.  He specializes in transforming insights into revenue, with extensive experience in customer segmentation and profiling, propensity modeling, trigger event development, and next best offer to deliver the right solutions to customers at the right time and through the most effective communication channel. He has worked in a variety of industries including financial services, digital marketing, and advertising in multi national firms such as JP Morgan Chase, Citibank, and Ogilvy Mather. He is passionate about data and the hidden treasure behind it.

Alex ZhangHead of Customer IntelligencePrudential Corporation Asia

Applying Analytics to Improve Customer Persistency

According to a recent Harvard Business Review study, it costs three to five times more to acquire a new customer than to maintain an existing one.However, keeping existing customers has always been a daunting challenge for most financial service companies today. When product and service offering is increasingly becoming similar for the financial services industry in general,  analytics is the key differentiator that separatesout the leader and followers. We share our learning and experience in applying analytics to improve customer persistency at Prudential.

Chad is the Head of Fraud & Information Security for Asia, at Societe Generale, Corporate Investment Banking. Prior to that, he was the Head of Anti Fraud for Asia at Deutsche Bank.   He has prolific experience in handling white collar crime investigations across Asia and has been at the forefront of pioneering anti fraud platforms for various organisations.   His experience over the last 15 years has also seen him design and implement cutting edge fraud detection programs that combine both transaction related data with human behavioral metrics. Chad is a qualified Australian Chartered Accountant and a Certified Fraud Examiner. He currently is based in Hong

Kong, having worked and lived in China and Singapore previously.

Predictive Data Analytics – Has It Really Improved Fraud Detection?

- What is a good strategy for deployment - Scenario analysis – What exactly are we looking for - Measuring Human behaviour with Transaction related behaviour - What works and what doesn’t - Using it to maximum effect

Chad OlsenHead of Fraud & Information SecuritySociété Générale

Confirmed Speakers

Liwei MaSenior Director, Marketing AnalyticsExpedia

Predictive Modeling in CRM Operations

While predictive modeling in CRM operations has been a hot topic for a few years already, making your predictive modeling efforts truly effective requires a "modeling ready" data management practice upstream, as well as strong execution and measurement capabil it ies downstream.Presenting on the topic, Jean-David Slama of The Estēe Lauder Companies will focus on three core elements:- Structuring your practice of Consumer Data Integration and Management,- Building a "call to action" model,- Leveraging the propensity scores within a CRM execution framework, and measuring the results.Finally, even though Predictive Modeling seems to win over Business Rules and RFM segmentation just about every time, some of the reasons for choosing RFM along with Modeling rather than modeling alone will be discussed.

Jean-David currently leads the regional CRM Systems Program of The Estēe Lauder Companies in Asia Pacific. In this role, Jean-David is responsible for delivering technology solutions to support day-to-day business operations in an increasingly connected consumer-facing environment.  During his 15 year career in  CRM, Jean-David has designed, implemented and rolled out solutions covering Multi-Channel Consumers Data Integration, Call Center Operations, Campaign Management, Loyalty Schemes Management, Sales Force Automation, and Business Intelligence / Analytics. He has also helped companies around the world and across various industries ranging from Public Administrations to Luxury Retailers to optimize their CRM operations and business processes. He managed programs deployed across EMEA, North America and the APAC regions. Jean-David holds an M.B.A. from Tel-Aviv University.

Jean-David SlamaDirector, CRM ProgramEstee Lauder

Predictive Analytics & Beyond in Retail Banking

Predictive analytics has evolved over the last few decades in establishing its role within the business world. In particular, it has found wide applications within retail banking industry for both market ing and r isk management where credit scorecards and marketing propensity models have become a common practice. However, there are still challenges analytic practitioners encounter every day in their effort of developing and assessing predictive models or analytic solutions. In this presentation, the speaker will share his personal experience and views on some of the challenges together with the proposed solutions.

Edward joined SCB in 2009 and before taking up the current role, he had served as Group Head of Analytics for Premium & Private Banking, Group Head of Analytics for Personal Banking & Retail Products, and Regional Head of Decision Science for Northeast Asia.

Edward’s career spread across academic research & teaching at universities, health service management and retail banking. His research interests include simulation, statistics, optimization, artificial intelligence, data mining and their applications in retail banking and health services.

Edward HuangRegional Head of Portfolio ManagementStandard Chartered Bank

Liwei MaSenior Director, Marketing AnalyticsExpedia

and methodologies, team leadership and project management. Her core strength lies in the data area e.g. data integration (ETL - DataStage and Informatica), operational and master data management, data quality, data governance framework and my experience in these

Yoong Chung has close to 15 years of experience in the data warehousing and information management disciplines, including data solution architecture and detailed design as well as implementation, best practices

Yoong ChungDirector, Group TechnologyUBS

Confirmed Speakers

Liwei MaSenior Director, Marketing AnalyticsExpedia

Challenges and Innovation for Predictive Analytics

One of the biggest challenges for predictive analytics, in particular insurance industry, in Asia is the lack of data.  This is because insurance is not a high engagement product as compared to other financial services’ product such as credit card or banking products.   In contrast with Property & Casualty insurance, this problem is more actuate with life insurance industry. The emergence of digital world & new technology has provided a cost effective way of resolving this challenge. The high adoption of digital & mobile world provides great opportunity to understand customer behavior. New innovation such as telematic technology generates driving b e h a v i o r i n f o r m a t i o n . T h e emergence of self-quantification technology, such as Nike Fuel, Fitbit, Jawbone, gives valuable insight

Keet Peng is currently the Analytics Director of Aegon. Prior to join in Aegon, he helped to set up the regional analytics team for Prudential Corporation Asia. Keet Peng has over 20 years of online and offline analytics experience, he possesses exceptional expertise in segmentation, data mining, propensity modeling, cloning look- alike models, creating investment matrix and identifying opportunities for up-selling and cross-selling to solve business problems and maximize earnings through data.

Keet Peng OnnDirector, Customer AnalyticsAegon

Liwei MaSenior Director, Marketing AnalyticsExpedia

optimize business strategies, introducing a discipline of scientific and fact-based decision making process across the company, and with strong experience in executing direct marketing, portfolio management and cross-sell campaigns. Prior to China Construction Bank (Asia), Minda was with American International Group and has held various positions in AIG Consumer Finance Group and AIA.  

Minda is currently the Head of Business Analytics & Planning at China Construction Bank (Asia) in Hong Kong.  She has over 15 years of Analytics and Database Marketing experience in leading financial institutions and multiple markets.   She specializes in utilizing analytics tools to guide the formulation of marketing plans and

Minda LiuHead of Decision ScienceChina Construction Bank

BI and Change Management in a 6-company merger scenario – Experience sharing session

BI solution has organization change-related issues in addition to technology aspects. Addressing employee concerns on excessive reporting, data privacy, enabling a culture of prompt and accurate reporting, communication and winning agreement from senior management on the measures to focus upon are some of the key issues to be tackled successfully. In addition, creation of KPI library and templates in an environment subject to periodic audits places considerable stress on employees. Managing these aspects is often the key to successful implementation of BI and analytics solutions. The session focuses on lessons learnt during one such implementation in a large German MNC.

Bhaskar obtained MBA from a top 10 business school, and a Six Sigma Black Belt certification.   He has contributed in setting up business analytics for a large German company that covered KPI formulation, Reporting templates, Risk matrices, Oracle BI solution design and implementation of the BI solution including data transfer and replication through satellites.  This was in the context of a 6-company merger in a business with high regulatory and audit requirements. On a monthly basis, nearly 200 KPIs were reported, monitored and audited.   He currently works for a FTSE-100 company as Change Lead for Greater China. 

Bhaskar SambamurthyArea Change & OD Lead, Greater ChinaBritish American Tobacco

Confirmed Speakers

Liwei MaSenior Director, Marketing AnalyticsExpedia

Services Ltd in UK and Prudential Corporation Asia, based in Hong Kong.

Leveraging Predictive Analytics for Building up Lasting Customer Relationships

In this presentation, Juan will review usual methodologies and emerging trends of predicting a lasting customer relationships.

Dr. Hongjuan Liu (Juan) is currently Head of CRM, Asia for Ageas, responsible for developing and delivering the CRM strategy across Asia markets for Ageas. Juan has extensive experience in CRM analytics, pricing analytics, as well as multi-channel campaign management across life and non-life insurance lines. Prior to Ageas, Juan held dual roles as Head of the Global Modeling Team and the China CVM Team at Cigna Corporation based in Shenzhen/Hongkong. He also worked for Allianz Business

Hongjuan LiuHead of CRMAgeas

Liwei MaSenior Director, Marketing AnalyticsExpedia

processes to drive the profitability of the company.

Ms.Huang holds a master degree in MBA and Advanced business certificate in Business Analytic from the University of Connecticut. She received her B.A in Economics from National Taipei University and also attended University of Innsbruck, Austria. She was a charter member of Taiwan Toastmaster Speech club and a volunteer teacher of Mandarin Chinese for Urban Assembly. 

Ms. Huang has 7 years of experience in business development, predictive modeling, risk and portfolio management to solve tactical business challenges. She applied her strong data analytic skills to identify opportunities for business growth and ROI, and to enhance decision-making with quantifiable results. Her career is to focus on deepening the knowledge of customers via data/evidence while developing tactical

Catherine Meihuei HuangManager, Operation Research & Analytics, APACFedex Express

Where's My Crystal Ball? Going from Self-service BI to Self-service Predictive Analytics

The days of relying on a central IT organization for everything data are long gone. Today’s information workers are increasingly data literate and have come to expect more empowerment from the enterprise, and they need it quick, easy and accurate. Self-service Business Intelligence now takes the center-stage to close this gap, threading the intricate relationships between people, data, process and technology. Learning from self-service BI programme in the Asian context, we will predict the challenges and opportunities of putting predictive analyt ics into the hands of non-technologists.

Dave Chan, CBIP (Certified Business Intelligence Professional), is a business analytics practitioner with over a decade of experience implementing Business Intelligence programme for retail banking, media and healthcare organizations. Currently employed at UBM Asia, a UBM plc company, Dave is the Regional Director of Business Intelligence, leading the CRM programme and delivering self-service marketing analytics. Prior to UBM Asia, Dave was with HSBC and has held various positions in regional CRM, BI and strategic planning in retail banking. Dave is an Open-Data enthusiast and a speaker at Tableau Conference, the annual global meeting on visual analytics.

Dave ChanDirector, Business IntelligenceUBM

Schedule

Networking Drinks 17.00 - 19.00

March 28

Session One 09.00 - 10.00

Coffee Break 10.00 - 10.30

Session Two 10.30 - 12.00

Lunch 12.00 - 13.30

Session Three 13.30 - 15.00

Coffee Break 15.00 - 15.30

Session Four 15.30 - 17.00

Day Two

March 27Day One 09.00

10.30

11.00

12.30

14.00

15.30

16.00

17.00

19.00

09.00

10.30

11.00

12.30

14.00

15.30

16.00

17.00

Session Five 09.00 - 10.00

Coffee Break 10.00 - 10.30

Session Six 10.30 - 12.00

Lunch 12.00 - 13.30

Session Seven 13.30 - 15.00

Coffee Break 15.00 - 15.30

Session Eight 15.30 - 17.00

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The Information

Silver Pass

US$ 795Access to all sessions &

networking events

US$ 595 Early Bird Price

(Before January 31)

Gold Pass

US$ 1095Access to all sessions, networking

events & annual subscription to IE. membership

US$ 895 Early Bird Price

(Before January 31)

Registration Pricing

Predictive Analytics Innovation SummitDate: March 27 & 28, 2014 Location: Hong KongVenue: Intercontinental Grand Stanford HotelDetails: Click here

Ways to Register+852 8199 0121 +1 323 446 7673 Click here to register online

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Diamond Pass

US$ 1295Access to all sessions, networking events, annual subscription to IE.

membership & Strategic Analysis Report

US$ 1095Early Bird Price

(Before January 31)

For larger groups or special requests contact Ryan by calling +852 8199 0121 or email ryuan@theiegroup.com* Team discounts are applicable at the point of registration only.

Group Discount Offers (After January 31)

3 Silver Passes: US$ 1950 (US$ 650 per attendee)5 Silver Passes: US$ 3000 (US$ 600 per attendee)3 Gold Passes: US$ 2850 (US$ 950 per attendee)5 Gold Passes: US$ 4500 (US$ 900 per attendee)3 Diamond Passes: US$ 3450(US$ 1150 per attendee)5 Diamond Passes: US$ 5500(US$ 1100 per attendee)

1 Day Pass

$495Access to all sessions &

networking event on your chosen day30 days access to IE. Membership

US$ 395Early Bird Price

(Before January 31)

On-Demand

$600Full access to a live recording across

both days for the summit

US$ 600

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TITLE OF EACH ATTENDEE DEPARTMENT

COMPANY INDUSTRY

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EMAIL OF EACH ATTENDEE BUSINESS PHONE NUMBER

1. Delegate Information...

2. Pass Types...Group Discount Pass Options

3 Silver Passes US$ 1650 (US$ 550 per attendee) 5 Silver Passes US$ 2500 (US$ 500 per attendee) 3 Gold Passes US$ 2550 (US$ 850 per attendee) 5 Gold Passes US$ 3750 (US$ 750 per attendee)

For larger groups or special requests contact Ryan Yuan by calling +852 8199 0121 or email ryuan@theiegroup.com.Group passes only available when all participants register together.

Pass Descriptions:Silver Pass: Access to all sessions & networking eventsGold Pass: Access to all sessions, networking events & annual subscription to IE. membershipIE. Membership: 12 month access to over 500hrs of industry on-demand presentations. View IE. Membership details

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Prices are exclusive of VAT. Places are transferable without any charge to another Summit occurring within 12 months of the original purchase. Team discounts are applicable at the point of registration only. Any cancellations within a group registration will in turn incur an increase in registration fee for the remaining group participants. Cancellations before February 21, 2014 incur an administrative charge of 50%. If you cancel your registration after February 21, 2014 you will be charged the full fee. You must notify The Innovation Enterprise in writing of a cancellation, or you will be charged the full fee. The Innovation Enterprise reserve the right to make changes to the program without notice. NB: FULL PAYMENT MUST BE RECEIVED BEFORE THE EVENT.

Registration FormPredictive Analytics Innovation SummitMarch 27 & 28, 2014 | Intercontinental Grand Stanford Hotel, Hong Kong For registration or more information on the program, please call Ryan on +852 8199 0121, or fax this registration form to +1 (323) 446 7673

3. Payment Options...

2. Pass Types...

Regular Pass Options After January 31, 2014

Regular Silver: US$ 795 Attendees ____

Regular Gold: US$ 1095 Attendees ____

Diamond Pass: US$ 1295 Attendees ____

1 Day Pass: US$ 495 Attendees ____

Pass Descriptions:Silver Pass: Access to all sessions & networking eventsGold Pass: Access to all sessions, networking events & annual subscription to On-Demand MembershipDiamond Pass: Access to all sessions, networking events & annual subscription to On-Demand Membership & Strategic Analysis Report

Early Bird Pass Options until January 31, 2014

Early Bird Silver: US$ 595 Attendees ____

Early Bird Gold: US$ 895 Attendees ____

Early Bird Diamond: US$ 1095 Attendees ____

1 Day Pass: US$ 395 Attendees ____

Group Discount Pass Options 3 Silver Passes US$ 1950 (US$ 650 per attendee) 5 Silver Passes US$ 3000 (US$ 600 per attendee) 3 Gold Passes US$ 2850 (US$ 950 per attendee) 5 Gold Passes US$ 4500 (US$ 900 per attendee) 3 Diamond Passes US$ 3450 (US$ 1150 per attendee) 5 Diamond Passes US$ 5500 (US$ 1100 per attendee)

For larger groups or special requests contact Ryan Yuan by calling +852 8199 0121 or email ryuan@theiegroup.comGroup passes only available when all participants register together.

For sponsorship information contact Lin at lduan@theiegroup.com

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