Structured and Unstructured (Big) Data in Telecom Analytics

Transcription

1 Brochure More information from Structured and Unstructured (Big) Data in Telecom Analytics Description: 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 this report 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 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) Contents: 1 Executive Summary 2 Big Data in Telecom Analytics 2.1 Telecom Analytics Market Improving Subscriber Experience Generating a Full Spectrum View of the Subscriber Creating Customized Experiences and Targeted Promotions Central Big Data Repository: Key to Customer Satisfaction Reduce Costs and Increase Market Share 2.3 Building Smarter Networks Understanding Network Utilization Improving Network Quality and Coverage Combining Telecom Data with Public Data Sets: Real-Time Event Management Leveraging M2M for Telecom Analytics M2M, Deep Packet Inspection and Big Data: Identifying & Fixing Network Defects 2.4 Churn/Risk Reduction and New Revenue Streams

2 2.4.1 Predictive Analytics Identifying Fraud and Bandwidth Theft Creating New Revenue Streams 2.5 Telecom Analytics Case Studies T-Mobile USA: Churn Reduction by 50% Vodafone: Using Telco Analytics to Enable Navigation 2.6 Carriers, Analytics, and Data as a Service (DaaS) Carrier Data Management Operational Strategies Network vs. Subscriber Analytics Data and Analytics Opportunities to Third Parties Carriers to offer Data as s Service (DaaS) on B2B Basis DaaS Planning and Strategies Carrier Monetization of Data with DaaS 2.7 Opportunities for Carriers in Cloud Analytics Carrier NFV and Cloud Analytics Carrier Cloud OSS/BSS Analytics Carrier Cloud Services, Data, and Analytics Carrier Performance Management and the Cloud Analytics 3 Structured Data in Telecom Analytics 3.1 Telecom Data Sources and Repositories Subscriber Data Subscriber Presence and Location Data Business Data: Toll-free and other Directory Services Network Data: Deriving Data from Network Operations 3.2 Telecom Data Mining Data Sources: Rating, Charging, and Billing Examples Privacy Issues 3.3 Telecom Database Services Calling Name Identity Subscriber Data Management (SDM) Services Other Data-intensive Service Areas Emerging Service Area: Identity Verification 3.4 Structured Telecom Data Analytics Dealing with Telecom Data Fragmentation Deep Packet Inspection 4 Summary and Recommendations List of Figures: Figure 1: Telco Analytics Investments Driven by Big Data: Figure 2: Different Data Types within Telco Environment Figure 3: Presence-enabled Application Figure 4: Calling Name (CNAM) Service Operation Figure 5: Subscriber Data Management (SDM) Ecosystem Figure 6: Data Fragmented across Telecom Databases Figure 7: Telecom Deep Packet Inspection Revenue Figure 8: Telecom Data and Third-party Applications Figure 9: Telecom Data, Cloud, and Third-party Applications Ordering: Order Online - Order by Fax - using the form below Order by Post - print the order form below and send to Research and Markets, Guinness Centre, Taylors Lane, Dublin 8,

3

4 Page 1 of 2 Fax Order Form To place an order via fax simply print this form, fill in the information below and fax the completed form to (from USA) or (from Rest of World). If you have any questions please visit Order Information Please verify that the product information is correct and select the format(s) you require. Product Name: Web Address: Office Code: Structured and Unstructured (Big) Data in Telecom Analytics SC Product Formats Please select the product formats and quantity you require: Single User: 1-5 Users: Enterprisewide: Quantity USD 495 USD 995 USD 1995 Contact Information Please enter all the information below in BLOCK CAPITALS Title: Mr Mrs Dr Miss Ms Prof First Name: Last Name: Address: * Job Title: Organisation: Address: City: Postal / Zip Code: Country: Phone Number: Fax Number: * Please refrain from using free accounts when ordering (e.g. Yahoo, Hotmail, AOL)

5 Page 2 of 2 Payment Information Please indicate the payment method you would like to use by selecting the appropriate box. Pay by credit card: You will receive an with a link to a secure webpage to enter your credit card details. Pay by check: Please post the check, accompanied by this form, to: Research and Markets, Guinness Center, Taylors Lane, Dublin 8, Pay by wire transfer: Please transfer funds to: Account number Sort code Swift code IBAN number Bank Address ULSBIE2D IE78ULSB Ulster Bank, Main Street, Blackrock, Co. Dublin, If you have a Marketing Code please enter it below: Marketing Code: Please note that by ordering from Research and Markets you are agreeing to our Terms and Conditions at Please fax this form to: (646) or (646) From USA or From Rest of World