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Monetising internal and external big data to drive brand loyalty and develop new revenue streams
Conference: 23 – 24 April 2018
Goodwood Park Hotel, Singapore
- 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 – 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
- Operator Case Study – Privacy Marketing with the Support of Big Data Analytics
- 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
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