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Monetising Big Data in Telecoms World Summit 2018

Monetising internal and external big data to drive brand loyalty and develop new revenue streams

Conference: 23 – 24 April 2018
Goodwood Park Hotel, Singapore

Conference Programme:

  • 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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