Predictive Analytics Innovation

Gain greater insight with Predictive Analytics !

April 21 & 22, 2015 Hong Kong

Previous Speakers

Previous 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

Global Head / Head

Snr. Manager /ManagerAcademic (1%)

78%

Company Size Of Attendees

8%

11%

25%56%

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

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

F TI L

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

Previous 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 Zhang Head of Customer Intelligence Prudential 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 separates out 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 Olsen Head of Fraud & Information Security Société Générale

Previous SpeakersLiwei Ma Senior Director, Marketing Analytics Expedia

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 capabilities 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 Slama Director, CRM Program Estee 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 marketing and risk 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 Huang Regional Head of Portfolio Management Standard Chartered Bank

Liwei Ma Senior Director, Marketing Analytics Expedia

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 data areas covers several verticals including banking and finance, insurance, government and airlines.  !

!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 Chung Director, Group Technology UBS

Previous Speakers

Liwei Ma Senior Director, Marketing Analytics Expedia

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 behavior information. The emergence of self-quantification technology, such as Nike Fuel, Fitbit, Jawbone, gives valuable insight into the consumers’ health.

!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 Onn Director, Customer Analytics Aegon

Liwei Ma Senior Director, Marketing Analytics Expedia

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

Minda Liu Head of Decision Science China Construction Bank

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

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 Sambamurthy Area Change & OD Lead, Greater China British American Tobacco

Previous Speakers

Liwei Ma Senior Director, Marketing Analytics Expedia

Business 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

Hongjuan Liu Head of CRM Ageas

Liwei Ma Senior Director, Marketing Analytics Expedia

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 Huang Manager, Operation Research & Analytics, APAC Fedex 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 analytics 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 Chan Director, Business Intelligence UBM

Schedule

Networking Drinks 17.00 - 19.00

April 22

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

April 21Day 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

F TI L

The Information

!Silver Pass

US$ 795 !Access to all sessions &

networking events 7 days access to presentations from

the summit via ieOnDemand ! US$ 595

Early Bird Price (Before February 20) !

!Gold Pass

US$ 1095 !Access to all sessions &

networking events Unlimited access to presentations from the summit via ieOnDemand !

US$ 895 Early Bird Price

(Before February 20) !

Registration Pricing

Predictive Analytics Innovation Summit Date: April 21 & 22, 2015 Location: Hong Kong

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

F TI L

!Diamond Pass US$ 1295 !

Access to 2 summits, networking events & annual subscription to all

content on Analytics & Big Data channels via ieOnDemand

US$ 1095 Early Bird Price

(Before February 20) !!

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 (Before February 20) !3 Silver Passes: US$ 1500 (US$ 500 per attendee) 5 Silver Passes: US$ 2250 (US$ 450 per attendee) 3 Gold Passes: US$ 2400 (US$ 800 per attendee) 5 Gold Passes: US$ 3500 (US$ 700 per attendee) 3 Diamond Passes: US$ 3000(US$1000 per attendee) 5 Diamond Passes: US$ 4500(US$900 per attendee)

!1 Day Pass

$495 !Access to all sessions & networking event on the chosen day 7 days access to presentations from

the summit via ieOnDemand ! US$ 395

Early Bird Price (Before February 20) !!

!On-Demand

$600 !Unlimited access to presentations from the summit via ieOnDemand.

Including presentations, interviews & the ability to contact speakers !!

Unlimited access

to ieOnDemand !

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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.

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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 March 20, 2015 incur an administrative charge of 50%. If you cancel your registration after March 20, 2015 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 Summit April 21 & 22, 2015 | 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 February 20, 2015 Regular Silver: US$ 795 Attendees ____ Regular Gold: US$ 1095 Attendees ____ Diamond Pass: US$ 1295 Attendees ____ 1 Day Pass: US$ 495 Attendees ____

Early Bird Pass Options until February 20, 2015 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$ 1500 (US$ 500 per attendee) 5 Silver Passes US$ 2250 (US$ 450 per attendee) 3 Gold Passes US$ 2400 (US$ 800 per attendee) 5 Gold Passes US$ 3500 (US$ 700 per attendee) 3 Diamond Passes US$3000 (US$1000 per attendee) 5 Diamond Passes US$4500 (US$ 900 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.

For sponsorship information contact Lin at lduan@theiegroup.com

Silver Sponsor

Previous Sponsor

Exhibitor

News Distribution Partner

Previous Sponsors

MarchSports Analytics Innovation Summit March 4 & 5Melbourne

Big Data & Analytics Innovation Summit March 11 & 12Singapore

September Big Data & Analytics Innovation Summit September 17 & 18Sydney

Chief Strategy Officer SummitSeptember 17 & 18Sydney

Chief Innovation Officer SummitSeptember 17 & 18Sydney

April Chief Strategy Officer SummitApril 23 & 24Hong Kong

FP&A Innovation Summit April 23 & 24Hong Kong

Big Data Innovation Summit April 23 & 24Hong Kong

Predictive Analytics Innovation SummitApril 23 & 24Hong Kong

Partnership Opportunities: Lin Duan | lduan@theiegroup.com | +852 8124 1228Attendee Invitation: Ryan Yuan | ryuan@theiegroup.com | +852 8199 0121

October Sales & Operations Planning InnovationSummitOctober 21 & 22Shanghai

Digital Strategy InnovationSummitOctober 21 & 22Shanghai

Chief Strategy Officer SummitOctober 21 & 22Shanghai

FP&A Innovation Summit October 21 & 22Shanghai

November Big Data & Analytics Innovation Summit November 25 & 26Beijing

Web Innovation SummitNovember 25 & 26Beijing

Expected Attendees

Flagship Summit

2015 Calendar

AugustBig Data & Analytics Innovation SummitAugust 5 & 6Kuala Lumpur

Digital Publishing Innovation SummitAugust 20 & 21Singapore

June Sales & Operations PlanningInnovation SummitJune 17 & 18Singapore

FP&A Innovation Summit June 17 & 18Singapore

Chief Innovation Officer SummitJune 17 & 18Singapore

Sports

CXO

FebruaryChief Strategy Officer Summit February 11 & 12Melbourne

Big Data & Analytics Innovation Summit February 11 & 12Melbourne