Big Data represents a major inflection point for the ICT and Telecom sectors as it will transform business asset utility and value forever more. It isn’t a revolution or a replacement for the current technologies, but it is rather a valued extension of business assets. There is so much discussion about “Unstructured” Data (Big Data) that some people forget about Structured Data. Structured DB services in telecom are well established from an architecture and service model perspective. Telecom structured data sources are many and varied. Some sources are completely static or semi-static while others are very dynamic in nature.

This report provides the reader with a broad understanding of telecom data (structured and unstructured/big data) and related analytics. The report identifies market drivers and opportunities as well as forecasts for certain key growth areas such as deep packet inspection. The report also evaluates the relationship between Big Data and emerging telecom operational areas including NFV and telecom Cloud analytics. All purchases of Mind Commerce reports includes time with an expert analyst who will help you link key findings in the report to the business issues you're addressing. This needs to be used within three months of purchasing the report.

Target Audience:

  • Telecom network operators
  • Telecom infrastructure suppliers
  • Big Data and analytics companies
  • Data as a Service (DaaS) companies
  • Cloud-based service providers of all types
  • Data processing and management companies
  • Application Programmer Interface (API) companies
  • Public investment organizations including investment banks
  • Private investment including hedge funds and private equity

Report Benefits:

  • Telecom analytics forecast 2015 - 2020
  • Understand telecom data sources and mining
  • Understand telecom structured data services
  • Understand the role and importance of telecom DaaS
  • Identify opportunities for third-party telecom data services
  • Understand telecom data (structured and unstructured/big)
  • Identify opportunities derived from both network and user data
  • Recognize the role and importance of Deep Packet Inspection (DPI)