Heavy Development for Telecom Structured Big Data Market, Analytics: Forecasts 2015-2020

Big Market Research, Telecom Structured Big Analytics Data Market Size, Share, Global Trends, Company Profiles, Demand, Analysis, Research, Report, Opportunities, Segmentation and Forecast, 2015-2020

Overview

The telecommunications industry is investing heavily in developing the analytical tools and services to take advantage of both their traditional structured data and unstructured (big) data resources. The goals of each carrier program vary, but share some commonalities including the desire to improve business intelligence gathering, customer care and operations. Carriers are also working diligently to better understand how to monetize data assets, which is often manifest in new products and services at the business-to-business (B2B) level.

This report provides an in-depth assessment of the global Big Data and telecom analytics markets, including a study of the business case, application use cases, vendor landscape, value chain analysis, case studies and a quantitative assessment of the industry from 2015 to 2020. 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.

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Table of Contents

1 Introduction

1.1 Executive Summary

1.2 Topics Covered

1.3 Key Findings

1.4 Target Audience

1.5 Companies Mentioned

2 Big Data Technology and Business Case

2.1 Structured vs. Unstructured Data

2.1.1 Structured Database Services in Telecom

2.1.2 Unstructured Data from Apps and Databases in Telecom

2.1.3 Emerging Hybrid (Structured/Unstructured) Database Services

3 Key Big Data Investment Sectors

3.1 Industrial Internet and M2M

3.1.1 Big Data in M2M

3.1.2 Vertical Opportunities

3.2 Retail and Hospitality

3.2.1 Improving Accuracy of Forecasts and Stock Management

3.2.2 Determining Buying Patterns

3.2.3 Hospitality Use Cases

3.3 Media

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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

• Forecasts telecom related Big Data from 2015 to 2020
• Understand the emerging need for Big Data mediation
• Identify telecom structured data services and solutions
• Identify sources of data from next generation applications
• Understand unstructured (Big) data systems and solutions
• Learn about sources of data in telecom systems and processes
• Understand the role and importance of deep packet inspection

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