Monetising Big Data in Telecoms World Summit 2018

Monetising Big Data in Telecoms World Summit 2018 draws together highly-regarded expert speakers from across the ecosystem of telecommunications industry and big data analytics solution providers to present to you the latest key trends and development in monetising internal and external big data.
The highlights of the summit will be Case Studies and Perspectives to be shared by telecoms operators on their experience in implementing big data strategy in their businesses.

Listen to Presentations and Case Studies for These Important Topics:

Successful Digital Transformation through Your Effective Big Data Strategy

Operator Keynote Address – Creating a Sustainable Analytics Culture

Enhancing Your Customers’ Experience & Reducing Churn through Big Data Analytics

Letting Your Data Talk and Realising Its Potential

Operator Case Study – Maximizing MTRASS as Single Source of Truth to Drive Data Monetisation in Smartfren

Operator Case Study
Optimizing Quality of Experience through Analytics

Compatibility of Legacy Systems with a Real-Time Analytics Approach

Operator Case Study – Efficient Data Governance with Machine Learning Data Integration

Operator Case Study – Making the Right Decisions to Transform your Data Management

Operator Case Study
How Chatbot Implementation in Telenor helps in Maximising Customer Experience?

Big Data for Customer Good?

What do we want to achieve from our use of customer mobile data?

How do we shift from asking what big data can do for us, to what it can do for our customers?

What types of information will help our customers reduce their costs or risks?

What type of information is currently widely dispersed, but would benefit the customer if brought together?

Maximising Revenue through Big Data: The Do’s and Don’ts for Becoming a Data-Driven Organisation

Operator Keynote – Maximising Business Value through Effective Big Data Strategy
From A Marketing Perspective

Exploring Innovative Data Analytics

IoT Data Analytics Challenges in Mobile Networks

Machine Learning & AI on Fast Big Data: Challenges and Perspective

Operator Case Study – Maximizing the Business Impact of Insights

Operator Case Study
Leveraging Marketing Science to Gain Competitive Advantage

Monetising Your Big Data Strategy

Integrating Multiple Data Sources to Drive Data Monetisation

Operator Case Study
Business Value Creation with an Integrated Data Analysis Platform

Generating New Revenue Streams & Identifying Revenue Risk with Data Analytics

Identifying the potential value of the problems you’re trying to resolve

Selling analytics and insights as opposed to raw anonymized data

Creating an improved revenue administration and revenue model

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

George Chua, Director of Data Science & Systems Engineering, Axiata Digital Advertising, Malaysia

Myk Ogbinar, Head of Data Mining & Agile Analytics, Advanced Analytics, Enterprise Data Office, Globe Telecom, Philippines

• Ragunathan Gopalakrishnan, Head of Data Architect (Consumer Bis -Customer Management), Maxis Mobile Services, Malaysia

Tarikul Islam, General Manager, EDW & Analytics, Information Technology, Robi Axiata, Bangladesh

Cahyo Widiyanto, GM/Head of Reporting & MIS Department, Finance Group, Smartfren Telecom, Indonesia

Dr Winn Voravuthikunchai, Group Data Scientist, Applied Analytics, Telenor Group, Thailand

Dr Rujikorn Pavasuthipaisit, Director of Data Analytics and Research, True Corporation, Thailand

Amit Panda, Head of Analytics COE (Center of Experience), XL Axiata, Indonesia

• and many more’.