Table of Contents:

1.0 Executive Summary
1.1 Topics Covered
1.2 Key Findings
1.3 Target Audience
1.4 Companies Mentioned
2.0 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
2.2 Defining Big Data
2.3 Key Characteristics of Big Data
2.3.1 Volume
2.3.2 Variety
2.3.3 Velocity
2.3.4 Variability
2.3.5 Complexity
2.4 Capturing Data through Detection and Social Systems
2.4.1 Data in Social Systems
2.4.2 Detection and Sensors
2.4.3 Sensors in the Consumer Sector
2.4.4 Sensors in Industry
2.5 Big Data Technology
2.5.1 Hadoop
2.5.1.1 MapReduce
2.5.1.2 HDFS
2.5.1.3 Other Apache Projects
2.5.2 NoSQL
2.5.2.1 Hbase
2.5.2.2 Cassandra
2.5.2.3 Mongo DB
2.5.2.4 Riak
2.5.2.5 CouchDB
2.5.3 MPP Databases
2.5.4 Others and Emerging Technologies
2.5.4.1 Storm
2.5.4.2 Drill
2.5.4.3 Dremel
2.5.4.4 SAP HANA
2.5.4.5 Gremlin & Giraph
2.6 Business Drivers for Telecom Big Data and Analytics
2.6.1 Continued Growth of Mobile Broadband
2.6.2 Competition from New Types of Service Providers
2.6.3 New Technology Investment
2.6.4 Need for New KPIs
2.6.5 Artificial Intelligence and Machine Learning
2.7 Market Barriers
2.7.1 Privacy and Security: The ‘Big’ Barrier
2.7.2 Workforce Re-skilling and Organizational Resistance
2.7.3 Lack of Clear Big Data Strategies
2.7.4 Technical Challenges: Scalability and Maintenance
3.0 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
3.3.1 Social Media
3.3.2 Social Gaming Analytics
3.3.3 Usage of Social Media Analytics by Other Verticals
3.4 Utilities
3.4.1 Analysis of Operational Data
3.4.2 Application Areas for the Future
3.5 Financial Services
3.5.1 Fraud Analysis & Risk Profiling
3.5.2 Merchant-Funded Reward Programs
3.5.3 Customer Segmentation
3.5.4 Insurance Companies
3.6 Healthcare and Pharmaceutical
3.6.1 Drug Development
3.6.2 Medical Data Analytics
3.6.3 Case Study: Identifying Heartbeat Patterns
3.7 Telecom Companies
3.7.1 Telcom Analytics: Customer/Usage Profiling and Service Optimization
3.7.2 Speech Analytics
3.7.3 Other Use Cases
3.8 Government and Homeland Security
3.8.1 Developing New Applications for the Public
3.8.2 Tracking Crime
3.8.3 Intelligence Gathering
3.8.4 Fraud Detection and Revenue Generation
3.9 Other Sectors
3.9.1 Aviation: Air Traffic Control
3.9.2 Transportation and Logistics: Optimizing Fleet Usage
3.9.3 Sports: Real-Time Processing of Statistics
4.0 The Big Data Value Chain
4.1 Fragmentation in the Big Data Value Chain
4.2 Data Acquisitioning and Provisioning
4.3 Data Warehousing and Business Intelligence
4.4 Analytics and Virtualization
4.5 Actioning and Business Process Management (BPM)
4.6 Data Governance
5.0 Big Data in Telecom Analytics
5.1 Telecom Analytics Market
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
5.3 Building Smarter Networks
5.3.1 Understanding Network Utilization
5.3.2 Improving Network Quality and Coverage
5.3.3 Combining Telecom Data with Public Data Sets: Real-Time Event Management
5.3.4 Leveraging M2M for Telecom Analytics
5.3.5 M2M, Deep Packet Inspection and Big Data: Identifying & Fixing Network Defects
5.4 Churn/Risk Reduction and New Revenue Streams
5.4.1 Predictive Analytics
5.4.2 Identifying Fraud and Bandwidth Theft
5.4.3 Creating New Revenue Streams
5.5 Telecom Analytics Case Studies
5.5.1 T-Mobile USA: Churn Reduction by 50%
5.5.2 Vodafone: Using Telco Analytics to Enable Navigation
5.6 Carriers, Analytics, and Data as a Service (DaaS)
5.6.1 Carrier Data Management Operational Strategies
5.6.2 Network vs. Subscriber Analytics
5.6.3 Data and Analytics Opportunities to Third Parties
5.6.4 Carriers to offer Data as s Service (DaaS) on B2B Basis
5.6.5 DaaS Planning and Strategies
5.6.6 Carrier Monetization of Data with DaaS
5.7 Opportunities for Carriers in Cloud Analytics
5.7.1 Carrier NFV and Cloud Analytics
5.7.2 Carrier Cloud OSS/BSS Analytics
5.7.3 Carrier Cloud Services, Data, and Analytics
5.7.4 Carrier Performance Management and the Cloud Analytics
6.0 Structured Data in Telecom Analytics
6.1 Telecom Data Sources and Repositories
6.1.1 Subscriber Data
6.1.2 Subscriber Presence and Location Data
6.1.3 Business Data: Toll-free and other Directory Services
6.1.4 Network Data: Deriving Data from Network Operations
6.2 Telecom Data Mining
6.2.1 Data Sources: Rating, Charging, and Billing Examples
6.2.2 Privacy Issues
6.3 Telecom Database Services
6.3.1 Calling Name Identity
6.3.2 Subscriber Data Management (SDM) Services
6.3.3 Other Data-intensive Service Areas
6.3.4 Emerging Service Area: Identity Verification
6.4 Structured Telecom Data Analytics
6.4.1 Dealing with Telecom Data Fragmentation
6.4.2 Deep Packet Inspection
7.0 Analysis of Select Big Data Market Players
7.1 Vendor Assessment Matrix
7.2 Apache Software Foundation
7.3 Accenture
7.4 Amazon
7.5 APTEAN (Formerly CDC Software)
7.6 Cisco Systems
7.7 Cloudera
7.8 Dell EMC
7.9 Facebook
7.10 GoodData Corporation
7.11 Google (Alphabet)
7.12 Guavus (Thales Group)
7.13 Hitachi Data Systems
7.14 Hortonworks
7.15 HPE
7.16 IBM
7.17 Informatica
7.18 Intel
7.19 Jaspersoft (TIBCO)
7.20 Microsoft
7.21 MongoDB (Formerly 10Gen)
7.22 MU Sigma
7.23 Netapp
7.24 ElectrifAI (formerly Opera Solutions)
7.25 Oracle
7.26 Pentaho
7.27 Platfora (Workday)
7.28 Qliktech
7.29 Rackspace Technology
7.30 Revolution Analytics (Microsoft)
7.31 Salesforce
7.32 SAP
7.33 SAS Institute
7.34 Sisense
7.35 Splunk
7.36 Sqrrl Data
7.37 Supermicro
7.38 Tableau Software
7.39 Teradata
7.40 Tidemark (Insight Software)
7.41 VMware
8.0 Big Data in Telecom Analytics Forecast 2020 to 2027
8.1 Global Big Data in Telecom Analytics 2020 – 2025
8.2 Big Data in Telecom Analytics by Region 2020 – 2025
8.3 Big Data Products and Services in Telecom Analytics 2020 – 2025
8.4 Big Data Management Platform for Telecom 2020 – 2025
8.4.1 Big Data in Telecom Data Analytics by Compute Type 2020 – 2025
8.4.2 Big Data Compute in Telecom Data Analytics by Cloud Deployment Type 2020 – 2025
8.4.3 Big Data in Telecom Data Analytics by Storage Type 2020 – 2025
8.4.4 Big Data Storage in Telecom Data Analytics by Cloud Deployment Type 2020 – 2025
8.4.5 Big Data in Telecom Analytics by Functions 2020 – 2025
8.4.5.1 Big Data in Network Data Analytics by Functions 2020 – 2025
8.4.6 Big Data in Telecom Analytics by Application Type 2020 – 2025
8.4.6.1 Big Data in Business Specific Applications in Telecom Analytics 2020 – 2025
8.4.6.2 IoT in Telecom Analytics by Consumer, Enterprise, Industrial, and Government Sectors 2020 – 2025
8.5 Big Data Services for Telecom Analytics 2020 – 2025
8.5.1 Big Data Professional Services for Telecom Analytics 2020 – 2025
8.5.2 Big Data Managed Services for Telecom Analytics 2020 – 2025
8.6 Big Data Virtualization Platform Deployment in Telecom Analytics 2020 – 2025

Tables

Table 1: Global Big Data in Telecom Analytics 2020 – 2025
Table 2: Big Data in Telecom Analytics by Region 2020 – 2025
Table 3: Big Data Products and Services in Telecom Analytics 2020 – 2025
Table 4: Big Data Management Platform for Telecom 2020 – 2025
Table 5: Big Data in Telecom Data Analytics by Compute Type 2020 – 2025
Table 6: Big Data Compute in Telecom Data Analytics by Cloud Deployment Type 2020 – 2025
Table 7: Big Data in Telecom Data Analytics by Storage Type 2020 – 2025
Table 8: Big Data in Telecom Analytics by Functions 2020 – 2025
Table 9: Big Data in Network Data Analytics by Functions 2020 – 2025
Table 10: Big Data in Telecom Analytics by Application Type 2020 – 2025
Table 11: Big Data in Business Specific Applications in Telecom Analytics 2020 – 2025
Table 12: IoT in Telecom Analytics by Consumer, Enterprise, Industrial, and Government Sectors 2020 – 2025
Table 13: Big Data Services for Telecom Analytics 2020 – 2025
Table 14: Big Data Professional Services for Telecom Analytics 2020 – 2025
Table 15: Big Data Managed Services for Telecom Analytics 2020 – 2025
Table 16: Big Data Virtualization Platform Deployment in Telecom Analytics 2020 – 2025