Big Data Analytics & Effective CEM Strategy in Financial Services World Summit 2017<br />

Symphony Global Event Highlight
  Big Data Analytics & Effective CEM Strategy in Financial Services
World Summit 2017

26-27 October 2017, Singapore

 

  – Increasing ROI through developing an effective Big Data & CEM Strategy for your business

    Encompassing:

  • Data Driven Business Transformation
  • Enhancing Your Customers’ Experience through Big Data Analytics
  • Data Analytics in the IoT Ecosystem – and Beyond!
  • Accelerating Innovation with Artificial Intelligence
  • Leveraging Big Data Technologies to Achieve Business Growth
  • Digitizing Customer Support with Machine Learning
  • Regulatory Risk and Remaining Compliant
  • Turning Data into Actionable Customer Insights
  • and many more!

Corporate Sponsor:

Associate Sponsor:

Big Data Analytics & Effective CEM Strategy in Financial Services World Summit 2017 draws together highly-regarded expert speakers from across the ecosystem of financial services industry and big data analytics solution providers to present to you the latest key trends and development in big data analytics and effective CEM strategy. The highlights of the summit will be Perspectives and Case Studies to be shared by senior professionals from financial services companies on their experience in implementing big data analytics and CEM strategy in their businesses.

Listen to Presentations and Case Studies for These Important Topics:

  • Harnessing the Power of Data Analytics in Financial Institutions to Achieve Competitive Advantage in the Digital Economy
  • Banker’s Keynote Address – Powering A Digital Customer Experience by Being A Data Driven Organization
  • Banker/Insurer’s Keynote Address – Optimizing the Customer Experience in the Digital Age
  • Enhancing Your Customers’ Experience through Big Data Analytics
  • Leverage Cloud, IoT & Big Data to Your Advantage
  • The Art of Making Big Data Relevant to Your Business
  • Understanding the Limitless Opportunities for Big Data to Improve Business Processes
  • Banker/Insurer’s Perspective – Staying Connected with Your Customers through Data
  • Banker/Insurer’s Perspective – Loyalty and Retention through Customer Analytics: Building Long Term Growth in Customer Engagement
  • Banker/Insurer’s Perspective – Unlocking As Much Information As Possible through Your Big Data whilst Ensuring Customer Privacy
  • How can you harness your Big Data to help make big decisions that result in big rewards?
    • Exploring how to use your Big Data effectively can improve your key decision-making process in the following areas:
    • Advertising and Marketing
    • Infrastructure
    • Retail
    • Identifying considerations that otherwise might have gone unnoticed through your Big Data
    • Understanding the different stages of data-processing and types of output created

 

  • Data Driven Business Transformation
  • Insurer’s Keynote Address – Accelerating Innovation with Artificial Intelligence
  • Banker/Insurer’s Keynote Address – Leveraging Big Data Technologies to Achieve Business Growth
  • Driving Your Business Strategies through An Effective Big Data Plan
  • Banker/Insurer’s Perspective – Broadening and Democratising the Use of Big Data across the Business to Achieve and Prove ROI Quickly
  • Monetizing Hybrid Data in Real-World Examples
  • Digitizing Customer Support with Machine Learning
  • Machine Learning: Delivering Accurate, Actionable, Predictive Information
  • Insurer’s Perspective – Data to Insight to Action- Driving Exceptional Customer Experience at A Global B2B Firm
  • Banker/Insurer’s Perspective – How Do We Build Financial Reporting Using Big Data Technologies?
  • Leveraging on Third Party Data as A Strategic Tool to Drive New Business and Sales Development
  • Banker/Insurer’s Perspective – Impact of Advanced Analytics on the Overall Banking Architecture
  • Banker/Insurer’s Perspective – Regulatory Risk and Remaining Compliant
  • Turning Data into Actionable Customer Insights
    • Designing your data roadmap: Deciding what to capture and how to capture it for greater customer insights
    • How can you leverage customer insights to differentiate service, empower front-line staff and create emotional royalty?
    • Measuring and evaluating the ROI of your data analytics program

 

Meet and Network with the following Prestigious and Highly Regarded Speakers & Panellists from:

  • David Oliver, Director of Client Insight, Aon, Singapore
  • Alex Kimura, Chief Strategy Officer, Asia, Aviva & Managing Director, FPIL Japan, Singapore
  • Harphajan Singh, Chief Data Officer, AXA, Malaysia
  • Handika Hakim, Advanced Analytics Head, Decision Management Group, Bank Danamon Indonesia, Indonesia
  • Gareth Nicholson, Head of Fixed Income (DPM), Bank of Singapore, Singapore
  • Dominic Ligot, Founder and Managing Director, CirroLytix Research Services, Philippines
  • Roberto Ramirez Pinson, Global Data Strategy & Credit Risk Regulatory Reporting Global Lead, Citi, Singapore
  • Shefali Gupta, Senior Vice President, Technology & Operations, Strategy & Planning Management Office, DBS Bank, Singapore
  • Dr. Yuhui Yao, Vice President, Group Customer Analytics and Behavioral Insights, FWD Singapore, Singapore
  • Rosnani Kamaruddin, Manager, Customer Experience & Analytics, Hong Leong Bank, Malaysia
  • Senior Director, Lynx Analytics, Singapore
  • Keith B Carter, Associate Professor, National University of Singapore School of Computing & Affiliate Professor, NUS Business Analytic Centre, Singapore
  • Stephanie Myers, VP, Customer Strategy, Experience & Loyalty, Prudential Assurance Company, Singapore
  • Kelvin Tan, Head, FinTech & Data, Singapore Exchange Limited (SGX), Singapore
  • Pradeep N, Head of Data Services, Standard Chartered Bank, Singapore
  • Terence Kong, Senior Industry Consultant, Teradata, Malaysia
  • Naris Sathapholdeja, SVP, Head of TMB Analytics, TMB Bank, Thailand
  • and many more…
 
  For more information, please visit event website or contact Phyllis Goh of Symphony Global at Email: Phyllis.goh@symphonyglobal.com