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.
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:
Netezza / IBM
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
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.
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.