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Market Research Report for Telecom Structured Data, Big Data, and Analytics: Business Case, Analysis and Forecasts 2015-2020

The Report Market for Telecom Structured Data, Big Data, and Analytics: Business Case, Analysis and Forecasts 2015 - 2020 provides information on pricing, market analysis, shares, forecast, and company profiles for key industry participants. - MarketResearchReports.biz

 

Albany, NY -- (SBWIRE) -- 03/18/2015 -- 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.

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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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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

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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

Table of Contents

1 Introduction 11
1.1 Executive Summary 11
1.2 Topics Covered 13
1.3 Key Findings 14
1.4 Target Audience 15
1.5 Companies Mentioned 16

2 Big Data Technology and Business Case 19
2.1 Structured vs. Unstructured Data 19
2.1.1 Structured Database Services in Telecom 20
2.1.2 Unstructured Data from Apps and Databases in Telecom 21
2.1.3 Emerging Hybrid (Structured/Unstructured) Database Services 22
2.2 Defining Big Data 25
2.3 Key Characteristics of Big Data 25
2.3.1 Volume 26
2.3.2 Variety 26
2.3.3 Velocity 26
2.3.4 Variability 26
2.3.5 Complexity 27
2.4 Capturing Data through Detection and Social Systems 27
2.4.1 Data in Social Systems 29
2.4.2 Detection and Sensors 31
2.4.3 Sensors in the Consumer Sector 33
2.4.4 Sensors in Industry 34
2.5 Big Data Technology 34
2.5.1 Hadoop 35
2.5.1.1 MapReduce 35

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