Data is rapidly evolving and there’s a lot of it. EnigmaCG designed this event because more data does not necessarily mean better information. Knowing big data's potential and its importance in customer analytics is one thing — productively managing and leveraging it is another therefore your company needs to be able to interpret data and integrate predictive analytics to derive efficient insights.
With all this vast amount of data that is available, how can you ensure that your data is correct and therefore the analytical techniques used are being used accurately? With this conference covering topics such as how IFRS 9 is going to impact Malaysian banks, how data analytics is being used to internally increase morale and decrease retention within an organisation? And how to profile the best customers using predicting analytics this is another must attend event for you and your fellow colleagues in Malaysia.
Join us for 2 days of exclusive networking sessions, professional and interactive panel discussions as well as high level case studies combatting the challenges, success stories as well as lessons learnt from corporates using analytics on the 14th to 15th of March 2017.
We are also very excited to announce that this year we are offering you the opportunity to take part in a highly interactive pre-conference workshop day led by an expert in this field on the 13th of March 2017 on how to clean and prepare data as well as post conference workshop on the 16th of March 2016 on Machine Learning – what is it, why is it important and how can it help businesses.
WORKSHOP on "DATA CLEANING & PREPARATION" by Dr. Carol Hargreaves 13 MARCH 2017
08.30 - 09.00 Registration
09.00 - 09.30 Why should we clean data?
09.30 - 10.00 What is Data Cleaning?
10.00 - 10.30 Networking Tea Break
10.30 - 11.30 Types of Data Cleaning Approaches
11.30 - 12.30 Visual Analytics for Data Cleaning
12.30 - 01.30 Networking Luncheon
01.30 - 02.30 Data Summarization Techniques & for Data
02.30 - 03.30 How to Detect Quality Data Problems?
03.30 - 04.00 Networking Tea Break
04.00 - 05.00 Data Cleaning & Preparation for Machine Learning: An Example
05.00 Workshop ends
CONFERENCE DAY 1, 14 MARCH 2017
08.00 – 09.00 Breaking the Enigma: Networking Breakfast Registration
09.00 – 09.05 Introduction
09.05 – 09.15 Opening Remarks: Abeed Rhemtulla, Managing Director – Enigma Consulting Group
09.15 – 09.30 Welcome Speech by Conference Chairman: George Haylett - Industry Expert, Hong Kong
09.30 – 10.00 How to influence and change C-Level and stakeholders to adopt the power of analytics
• How to build and present a compelling business case to implement analytics
• How to formulate, plan and deliver analytics
• How to adapt the plan to get the results you require using analytics
George Haylett - Industry Expert, Hong Kong
10.00 - 10.30 Sponsor Slot ( Available for booking)
10.30 - 11.00 Networking Tea/Coffee Break
11.00 – 11.30 Delivering Customer Centricity through Data Analytics
Leveraging Data Analytics to deliver customer centricity will speak about the key tenets that are needed to cater to customer expectations, needs, and experiences and how data-driven insights and actions can engage with customers to enable the new mandate of customer centricity.
Deep Thomas - Chief Executive Officer at A Top 500 Fortune Company, India
11.30 – 12.00 How Air Asia is using analytics to predict customer behavior
Eu Jin Tay - Chief Analytics and Life-cycle Management Officer, Air Asia, Malaysia
12.00 – 12.15 Andrew Mckinley - Magic Show
12.15 – 12.45 Sponsor Slot( Available for booking)
12.45 – 13.15 Big Data Scoring: Leveraging Non-traditional Data Sources for Improved Risk Differentiation
Traditional banks and financial services companies are benefiting from the fintech revolution and the proliferation of big data by selectively embracing new techniques and data sources to improve conventional credit underwriting tools and processes.
• The business case for Big Data Scoring
• Financial inclusion and Big Data Scoring
• Which non-traditional data sources are most powerful?
• How to tap these data sources, and create effective analytical solutions?
• Big Data Scoring tools, resources, and service providers
Erik Kragas - EVP & Head Credit Risk Analytics, Siam Commercial Bank, Thailand
13.15 – 14.15 Networking Luncheon
14.15 – 14.45 Insurance Case Study: How To Be Right More Often Using Analytics
Avik Sarkar - Head of Global Marketing Analytics, CHUBB( previously known as Ace Group), Singapore
14.45 – 15.15 Event Based Marketing Analytics
Arif Setiawan - Head of CVM Analytics & Insights, Indosat Ooredoo, Indonesia
15.15 – 15.30 Andrew Mckinley - Magic Show
15.30 – 16.00 From Unseen to Seen - Graph Analytics for AML
Through the panama papers, the ICIJ exposed the highly connected networks of offshore tax structures exploited by the world’s richest elites. Graph analytics were used to discover the implicit links across organizations and people. The same kind of techniques are being employed to pick up on and prevent money laundering in wagering industry. For this session, Isaac Wong from HPE will share his experience operationalizing graph analytics, from piloting the project in R to articulating the results to C-suite with data visualization tools.
Isaac Wong - Principal Data Scientist, Hewlett-Packard, Hong Kong
16.00 – 16.30 Networking Tea/Coffee Break
16.30 – 17.00 How predictive analytics now has become the first thing many departments use from telco point of view
Bilal Farooq - Head of Data Science, Modelling & Analytics, DiGi Telecommunications, Malaysia
17.00 – 18.00 Risk Panel Discussion
Chair: George Haylett - Industry Expert, Hong Kong
• Erik Kragas - EVP & Head Credit Risk Analytics, Siam Commercial Bank, Thailand
• Dinesh Chawla - Managing Director, JPMorgan Chase & Co, India
• Wipaporn Techamaitrechit - Executive Director, Head of Portfolio & Regulatory Management UOB,Thailand
18.00 End of Day 1.
CONFERENCE DAY 2, 15 MARCH 2017
08.30 – 09.30 Breaking the Enigma: Networking Breakfast Registration
09.30 – 10.00 How to profile the best customer using predictive analytics
Dinesh Chawla - Managing Director, JPMorgan Chase & Co, India
10.00 – 10.30 Sponsor Slot( Available for booking)
10.30 – 11.00 Networking Tea/Coffee Break
11.00 – 11.30 Sponsor Slot
11.30 – 12.00 Increasing customer journey through strategic wealth
• Using data analytics to predict customer behavior
• The next best offer
• The customer engagement model
• The need for R.F.M
Banking Industry Expert
12.00 – 12.30 Presentation
Chris Walls – Head CRM, Sephora Digital South East Asia, Singapore
12.30 – 13.00 Sponsor Slot ( Available for booking)
13.0 – 13.15 Andrew Mckinley – Magic Show
13.15 - 14.15 Networking Luncheon
14.15 – 14.45 How UOB uses Risk Analytics across Customer Lifecycle
Wipaporn Techamaitrechit, Executive Director Portfolio & Regulatory Management - UOB Bank, Thailand
14.45 - 15.15 DBS journey in being more Contextual towards Customers
• How DBS Bank is using data, analytics and human centered design
• How they transform interaction from product- push to customer centric ‘pull’ interaction with a view to making banking joyful
• Building long term engagement with our customers
Fredric Fanthome, Head, Regional Analytics COE and Strategic Initiatives – DBS Bank, Singapore
15.15 – 15.45 Presentation
• Progression of Analytics: from Descriptive to Prescriptive and the business impact
• Strategy and Analytics: 2 sides of the same coin?
• Should we let the data speak for itself: when, why, and how?
Tibadee Suraswadi, Vice President, Customer Analytics & Intelligence – Siam Commercial Bank, Thailand
15.45 – 16.00 Andrew Mckinley - Magic Show
16.00 – 16.30 Networking Tea/Coffee Break
16.30 – 17.00 Customer First! Customer Centric Big Data Application for retailers
Nitin Sareen - Director Analytics, Walmart Technology, India
17.0 – 18.00 Cross Industry Panel Discussion
• Eu Jin Tay - Chief Analytics and Life-cycle Management Officer, Air Asia, Malaysia
• Isaac Wong - Principal Data Scientist, Hewlett-Packard, Hong Kong
• Laura Cao - Chief Analytics Officer, Manulife Asia, Hong Kong
• Bilal Farooq - Head of Data Science, Modelling & Analytics, DiGi Telecommunications, Malaysia
18.00 End of Day 2/ Closing Remarks
Abeed Rhemtulla, Managing Director – Enigma Consulting Group
‘Post-Event Workshop on Machine Learning by Dr. Carol Hargreaves – Thursday, 16th March, 2017’
About the Workshop
Machine learning a type of artiﬁcial intelligence provides computers with the ability to learn without having to be programmed. Machine learning focuses on the development of a series of programs that produces insight when exposed to new data.
The process of machine learning does not diﬀer too much to that of data mining. Both techniques are similar to each other that they both search through data ﬁnding patterns. The key fundamental diﬀerence being is that data mining is used for human comprehension whereas machine learning uses that data to improve its own understanding and then changes accordingly.
Course Outline and Agenda
08.30 - 09.00 Registration
09.00 - 10.30 Introduction to Machine Learning
• What is Machine Learning?
• Why is Machine Learning Important?
• How does Machine Learning help Businesses?
10.30 - 11.00 Networking Tea Break
11.00 - 01.00 Types of Machine Learning Techniques
• Regression Method
• Demonstration on the application of Regression Methods (Case Study)
• Hands-on Practice Example on the Application of Regression Method
01.00 - 02.30 Networking Luncheon
02.30 - 03.30 Types of Machine Learning Techniques
• Decision Trees
• Demonstration on the Application of Decision Trees (Case Study)
03.30 - 04.00 Networking Luncheon
04.00 - 05.00 Hands-on Practice Example on the Application of Decision Trees
You can contact me directly for more details on delegate registration and Sponsorship opportunities at email@example.com;+6016 6411 892