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Introduction

DataSpark is a standalone business that was established in 2014 to develop and commercialize Singtel’s data assets and analytics capabilities.

Highlights

  • DataSpark moved early to specialize in geolocation data and analytics that are a critical component in supporting smart-city initiatives. This was a shrewd move that has helped grow the business in Singapore. It can leverage this expertise and apply it to other markets.

Features and Benefits

  • Learn how DataSpark is developing and commercializing Singtel’s data assets and analytics capabilities with third parties.
  • Discover which industry sectors DataSpark targets, with examples of its strategy and capabilities
  • Understand the business models employed by DataSpark.

Key questions answered

  • What can other service providers learn from DataSpark's strategy?
  • How successful has DataSpark been, and which industry sectors does it target and why?
  • Why did SingTel decide to establish DataSpark as a standalone business?

Table of contents

Summary

  • In brief
  • Ovum view
  • Recommendations for service providers

DataSpark in context

  • Data monetization as a standalone business

Data insights and platform capabilities

  • Majoring on location data assets
  • The GeoAnalytics platform

Business models and customers

  • Flexible business models
  • Target customers

Appendix

  • Methodology
  • Further reading
  • Author

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