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Telecom Industry Analytics: Company Analysis and Solutions

Telecom Industry Analytics: Company Analysis and Solutions

Global telecommunication service providers have grown at a rapid pace during the past two decade, driven by private and government support and initiatives aimed at liberalization and privatization of the sector. This growth has been driven by various factors such as favorable economic development, rising disposable income, and a general global culture transformation to embrace a high tech lifestyle. The number of communication service providers has increased due to service opportunities, technology evolution, and related new business models related to the global telecom market introduced.

All of this has resulted in a data tsunami, which unlike those in nature, does not recede and instead continues to grow. Telecom service providers seek to leverage their data to improve business operations, minimize costs, optimize service delivery, and identify new service opportunities and even new lines of business.

This research evaluates the telecom industry analytics segment with a focus on companies whose solutions and service support telecom service. The report includes solutions, financial position, and SWOT analysis of leading companies including: Teradata, IBM, Oracle, SAP, SAS, Agilis International, Tableau, QuikTech, WeDo Technologies, Subex, TEOCO, and cVidya.

Report Benefits:

  • Understand telecom consumer and operational analytics and its significance for telecommunication service providers
  • Learn how to manage M&A, project finance, quality service, IT software & hardware, and customer relationship with telecom analytics
  • SWOT analysis, competition intelligence, telecom strategy, and emerging business models of telecom analytics solution providers
  • Learn about the latest developments from telecom analytics solution providers and how to derive greater business benefit for network operators, OSS/BSS companies, and others
Companies in Report:
  • Agilis International
  • cVidya.
  • Netezza / IBM
  • Oracle
  • QuikTech
  • SAP
  • SAS
  • Subex
  • Tableau
  • TEOCO
  • Teradata
  • WeDo Technologies
Target Audience:
  • Big Data and analytics companies
  • Data as a Service (DaaS) companies
  • Cloud-based service providers of all types
  • Telecom customer & operational analytics provider
  • Developers of content, commerce and applications
  • Telecommunication service providers including carriers and OSS/BSS providers
  • Investment institutions including hedge funds, pension funds, and private equity


General Methodology

Mind Commerce Publishing's research methodology encompasses input from a wide variety of sources.

We rely heavily upon our Subject Matter Experts (SME) in terms of their market knowledge, unique perspective, and vision. We utilize SME industry contacts as well as previous customers and participants in our market surveys and interactive interviews.

In addition, we rely upon our extensive internal database, which contains modeling, qualitative analysis, and quantitative data. We review secondary sources and compare to our primary sources to update previous findings (for prior version reports) and/or compile baseline information for technology and market modeling.

We share preliminary models with industry contacts (select previous clients, experts, and thought leaders) to verify the veracity of initial modeling. Prior to final report production (analysis, findings, and conclusions), we engage in an internal review with internal SMEs as well as cross-expertise, senior staff members to challenge results.

We believe that forecasts should be prepared as part of an integrated process which involves both quantitative as well as qualitative factors. We follow the following 3-step process for forecasting.

Forecasting Methodology

Step 1 - Forecasts Input: The inputs for the present and historical revenues are derived from industry players. Financial and other quantitative data for individual sub-market categories are derived from original research and tested with interviews with major industry constituents.

Step 2 - Forecasting of Future Years: Mind Commerce extends forecasts based on a variety of factors including demand drivers as well as supply side data. Key success factors and assumptions are considered.

Step 3 - Validation of Data: The final step is to validate projections, which is accomplished in consultation with both internal and external industry experts, including both topic and regional experts. Adjustments are made to the forecasts based on factors identified throughout this process.


1.0 Introduction
2.0 Telecom Industry Analytics Solutions Overview
3.0 Importance Of Analytics In 3g, Lte And Wifi
4.0 Role Of Operational Analytics For Telecom Companies
5.0 Company Analysis
5.1 Teradata
5.1.1 Company Overview & Subsidiaries
5.1.2 Financial Standings
5.1.3 Telecom Strategy Analysis
5.1.4 Teradata And Analytical Models
5.1.5 Teradata And Aperio Ci
5.1.6 Teradata And Clintworld And Guavus
5.1.7 Swot Analysis
5.2 Netezza / Ibm
5.2.1 Company Overview & Subsidiaries
5.2.2 Financial Standings
5.2.3 Telecom Strategy Analysis
5.2.4 Telecom Solution Or Services
5.2.5 Swot Analysis
5.3 Oracle
5.3.1 Company Overview & Subsidiaries
5.3.2 Financial Standings
5.3.3 Telecom Strategy Analysis
5.3.4 Telecom Solution Or Services
5.3.5 Swot Analysis
5.4 Sap
5.4.1 Company Overview & Subsidiaries
5.4.2 Financial Standings
5.4.3 Telecom Strategy Analysis
5.4.4 Telecom Solution Or Services
5.4.5 Swot Analysis
5.5 Sas
5.5.1 Company Overview & Subsidiaries
5.5.2 Financial Standings
5.5.3 Telecom Strategy Analysis
5.5.4 Telecom Solution Or Services
5.5.5 Swot Analysis
5.6 Agilis International
5.6.1 Company Overview & Subsidiaries
5.6.2 Telecom Strategy Analysis
5.6.3 Telecom Solution Or Services
5.6.4 Swot Analysis
5.7 Tableau
5.7.1 Company Overview & Subsidiaries
5.7.2 Financial Standings
5.7.3 Telecom Strategy Analysis
5.7.4 Telecom Solution Or Services
5.7.5 Swot Analysis
5.8 Quiktech
5.8.1 Company Overview & Subsidiaries
5.9 Wedo Technologies
5.9.1 Company Overview & Subsidiaries
5.9.2 Financial Standings
5.9.3 Telecom Strategy Analysis
5.9.4 Telecom Solution Or Services
5.9.5 Swot Analysis
5.10 Subex
5.10.1 Company Overview & Subsidiaries
5.10.2 Financial Standings
5.10.3 Telecom Strategy Analysis
5.10.4 Telecom Solution Or Services
5.10.5 Swot Analysis
5.11 Teoco
5.11.1 Company Overview & Subsidiaries
5.11.2 Telecom Strategy Analysis
5.11.3 Telecom Solution Or Services
5.11.4 Swot Analysis
5.12 Cvidya
5.12.1 Company Overview & Subsidiaries
5.12.2 Telecom Strategy Analysis
5.12.3 Telecom Solution Or Services
5.12.4 Swot Analysis
6.0 Conclusion& Recommendation
6.1 Recommendation For Telecom Companies
6.2 Recommendation For Operation Analytic Providers
List of Graphs
Figure 1: World Telecom Subscriptions 2005-2013
Figure 2: Active Mobile Broadband Subscriptions 2007-2016
Figure 3: TERADATA Subsidiaries Distribution
Figure 4: Financial Trends 2008 – 2012
Figure 5: Netezza Financial Trends
Figure 6: Oracle Subsidiaries
Figure 7: Revenue Trending
Figure 8: Oracle Performance Annually
Figure 9: Oracle Financial Trends
Figure 10 Oracle Interest Expenses
Figure 11: Oracle Worldwide Spending
Figure 12: SAP Subsidiaries Distribution
Figure 13: SAP Financial Trends 2008 – 2012
Figure 14: SAS Subsidiary Distribution
Figure 15: SAS Revenue by Region
Figure 16: SAS Revenue by Industry
Figure 17: Tableau Financial Trends
Figure 18: WeDo Financial Trends 2009 – 2012
Figure 19: Subex Financial Tends 2009-2012
Figure 20: Telecom Analytic Company: EBITDA Margin Comparison 2008-2013
Figure 21: Telecom Analytic Company: Sales/Revenue Comparison 2008 - 2013
List of Tables
Table 1: Financial Highlights of Teradata 2008 -2012
Table 2: Netezza Financial Data 2008 – 2010
Table 3: Oracle Financial Standings 2008 – 2013
Table 4: SAP Financial Standings 2008-2012
Table 5: SAS Financial Trends
Table 6: Tableau Financial Standsings 2010 – 2012
Table 7: WeDo Financials 2009 – 2012
Table 8: Subex Financials 2009 – 2012
Table 9: Telecom Analytic Company Profile (Part One)
Table 10: Telecom Analytic Company Profile (Part Two)
Table 11: Telecom Analytic Co: Segment, Target & Positioning Profile (Part one)
Table 12: Telecom Analytic Co: STP profile (Part Two)
Table 13: Telecom Analytic Company: SWOT Summarization Table - Part One
Table 14: Telecom Analytic Company: SWOT Summarization Table - Part Two
Table 15: Telecom Analytic Company: Competitors Summary

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