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Monday, 2 December 2013

Market Overview: Global Big Data And Telecom Analytics Market: Business Case, Market Analysis & Forecasts 2014 - 2019: Now at Market Research Reports.Biz

Market Research On: Big Data refers to a massive volume of both structured and unstructured data that is so large that it is difficult to process using traditional database and software techniques. While the presence of such datasets is not something new, the past few years have witnessed immense commercial investments in solutions that address the processing and analysis of Big Data.

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Big Data opens a vast array of applications and opportunities in multiple vertical sectors including, but not limited to, retail and hospitality, media, utilities, financial services, healthcare and pharmaceutical, telecommunications, government, homeland security, and the emerging industrial Internet vertical.

With access to vast amounts of data sets, telecommunications companies are emerging as major proponents of the Big Data movement. Big Data technologies, and in particular their analytics abilities, offer a multitude of benefits to telecom companies including improved subscriber experience, building and maintaining smarter networks, reducing churn, and generation of new revenue streams.

Mind commerce, thus expects the Big Data driven telecom analytics market to grow at a CAGR of nearly 50% between 2014 and 2019. By the end of 2019, the market will eventually account for $5.4 Billion in annual revenue.

Topics covered in the report include:

The Business Case for Big Data: An assessment of the business case, growth drivers and barriers for Big Data
Big Data Technology: A review of the underlying technologies that resolve big data complexities
Big Data Use Cases: A review of investments sectors and specific use cases for the Big Data market
The Big Data Value Chain: An analysis of the value chain of Big Data and the major players involved within it
Big Data in Telco Analytics: How telecom can utilize Big Data technology to reduce churn, optimize their networks, reduce risks and create new revenue streams
Telco Case Studies: Case Studies of two major wireless telecom capitalizing on Big Data to reduce churn and improve revenue

Target Audience: 

Investment Firms
Media Companies
Utilities Companies
Financial Institutions
Application Developers
Government Organizations
Retail & Hospitality Companies

Companies in Report: 

Apache Software Foundation
APTEAN (Formerly CDC Software)
Bristol Myers Squibb
Brooks Brothers

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Table of Contents: 

1 Chapter 1: Introduction 
1.1 Executive Summary
1.2 Topics Covered
1.3 Key Findings
1.4 Target Audience
1.5 Companies Mentioned

2 Chapter 2: Big Data Technology & Business Case 
2.1 Defining Big Data
2.2 Key Characteristics of Big Data
2.2.1 Volume
2.2.2 Variety
2.2.3 Velocity
2.2.4 Variability
2.2.5 Complexity

3 Chapter 3: Key Investment Sectors for Big Data 
3.1 Industrial Internet & M2M
3.1.1 Big Data in M2M
3.1.2 Vertical Opportunities
3.2 Retail & Hospitality
3.2.1 Improving Accuracy of Forecasts & Stock Management
3.2.2 Determining Buying Patterns
3.2.3 Hospitality Use Cases
3.3 Media

4 Chapter 4: The Big Data Value Chain 
4.1 How Fragmented is the Big Data Value Chain?
4.2 Data Acquisitioning & Provisioning
4.3 Data Warehousing & Business Intelligence
4.4 Analytics & Virtualization

5 Chapter 5: Big Data in Telco Analytics 
5.1 How Big is the Market for Telco Analytics?
5.2 Improving Subscriber Experience
5.2.1 Generating a Full Spectrum View of the Subscriber
5.2.2 Creating Customized Experiences and Targeted Promotions
5.2.3 Central ‘Big Data’ Repository: Key to Customer Satisfaction
5.2.4 Reduce Costs and Increase Market Share

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