Telecom Industry: Big Data Analytics Adoption / Usage Trends 2016–2018

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Published: November 01, 2016 Report Code: TC5680PR-ST

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Pyramid Research’s Big Data Analytics Adoption / Usage Trends 2016–2018 report examines the overall spend on BDA, market opportunities influencing communication service providers to invest in BDA, the best practices for maximizing BDA opportunities and the critical aspects to maintain strong BDA vendor relationship within the organization. Additionally, the report provides information about the spending pattern of BDA budget and indicates challenges which are expected to inhibit the adoption of BDA within the organizations.

Scope

– Most telecom companies are in the process of developing Big Data Analytics (BDA) within their organizations.

– Customer segmentation and network optimization are considered important predictive analytics models to register growth within the telecom industry.

– Effective collaboration between data teams and business units is considered one of the best practices for maximizing BDA opportunities within telecom companies.

– Telecom operators are more attentive towards making BDA vendor partnerships related to software/hardware and analytics over the next two years.

– Despite challenges such as a lack of skill set and the integration of huge data, telecom companies expect to bring in additional skills to exploit BDA opportunities.

Reasons to Buy

– Assists telecom companies to take faster, better decision making by understanding the benefits of adopting big data solutions

– Telecom companies can gain a competitive advantage by examining the prominence of various BDA models which in turn helps to create new products and services for their customers

– Organizations will be supported in strengthening their BDA vendor partnerships by understanding the critical factors influencing the vendor relationships

Table of Contents

Introduction

Methodology, sample size and key points

Profile of respondents

Implementation, significance, and adoption of BDA

Level of implementation of BDA

Projected market opportunities supporting deployment of BDA

Significant drivers sustaining prominence of BDA within organizations

Preferred BDA offerings in the next 24 months

Predictive analytics models favored by organizations during 2016–2018

Procurement budget and expenditure outlook

Investment allocation towards BDA during 2016 and 2018

Enterprises expected revenue from investment in BDA during 2016–2018

BDA vendor partnerships/alliances and implementation concerns within the organizations

Prominent BDA vendor partnerships/alliances over the next two years

Potential strategies to maintain strong BDA vendor relationship

Challenges encountered in implementation of BDA

Forthcoming organizational strategies

Organizational prospects towards BDA

Foremost assistance towards implementing BDA

Acronyms and definitions

Appendix

Table

Exhibit 1: Status of implementing BDA within companies

Exhibit 2: Status of implementing BDA within companies, by region

Exhibit 3: Projected market opportunities highly influencing CSPs to invest in BDA, by region and globally

Exhibit 4: Revenue and profit impact vs. enhanced marketing and customer experience matrix, selected regions, 2016

Exhibit 5: Best practices for maximizing BDA opportunities within organizations

Exhibit 6: Top four best practices for maximizing BDA opportunities within organizations, by region – A

Exhibit 7: Top four best practices for maximizing BDA opportunities within organizations, by region – B

Exhibit 8: Preferred BDA offerings over the next two years

Exhibit 9: Preferred BDA offerings over the next two years, by region – A

Exhibit 10: Preferred BDA offerings over the next two years, by region – B

Exhibit 11: Predictive analytics models favored by organizations during 2016–2018

Exhibit 12: Top four predictive analytics models favored by organizations during 2016–2018, by region – A

Exhibit 13: Top four predictive analytics models favored by organizations during 2016–2018, by region – B

Exhibit 14: Budget allocation towards BDA during 2016 and 2018

Exhibit 15: Budget allocation towards BDA during 2016 and 2018, by region – A

Exhibit 16: Budget allocation towards BDA during 2016 and 2018, by region – B

Exhibit 17: Expected revenue from investment in BDA during 2016–2018

Exhibit 18: Expected revenue from investment in BDA during 2016–2018, by region – A

Exhibit 19: Expected revenue from investment in BDA during 2016–2018, by region – B

Exhibit 20: Prominent BDA vendor partnerships/alliances over the next two years

Exhibit 21: Prominent BDA vendor partnerships/alliances over the next two years, by region – A

Exhibit 22: Prominent BDA vendor partnerships/alliances over the next two years, by region – B

Exhibit 23: Potential strategies to maintain strong BDA vendor relationship

Exhibit 24: Potential strategies to maintain strong BDA vendor relationship, by region

Exhibit 25: Major challenges encountered in implementation of BDA

Exhibit 26: Top five major challenges encountered in implementation of BDA, by region – A

Exhibit 27: Top five major challenges encountered in implementation of BDA, by region – B

Exhibit 28: Organizational prospects towards BDA

Exhibit 29: Top five organizational prospects towards BDA, by region – A

Exhibit 30: Top five organizational prospects towards BDA, by region – B

Figures

Exhibit 1: Status of implementing BDA within companies

Exhibit 2: Status of implementing BDA within companies, by region

Exhibit 3: Projected market opportunities highly influencing CSPs to invest in BDA, by region and globally

Exhibit 4: Revenue and profit impact vs. enhanced marketing and customer experience matrix, selected regions, 2016

Exhibit 5: Best practices for maximizing BDA opportunities within organizations

Exhibit 6: Top four best practices for maximizing BDA opportunities within organizations, by region – A

Exhibit 7: Top four best practices for maximizing BDA opportunities within organizations, by region – B

Exhibit 8: Preferred BDA offerings over the next two years

Exhibit 9: Preferred BDA offerings over the next two years, by region – A

Exhibit 10: Preferred BDA offerings over the next two years, by region – B

Exhibit 11: Predictive analytics models favored by organizations during 2016–2018

Exhibit 12: Top four predictive analytics models favored by organizations during 2016–2018, by region – A

Exhibit 13: Top four predictive analytics models favored by organizations during 2016–2018, by region – B

Exhibit 14: Budget allocation towards BDA during 2016 and 2018

Exhibit 15: Budget allocation towards BDA during 2016 and 2018, by region – A

Exhibit 16: Budget allocation towards BDA during 2016 and 2018, by region – B

Exhibit 17: Expected revenue from investment in BDA during 2016–2018

Exhibit 18: Expected revenue from investment in BDA during 2016–2018, by region – A

Exhibit 19: Expected revenue from investment in BDA during 2016–2018, by region – B

Exhibit 20: Prominent BDA vendor partnerships/alliances over the next two years

Exhibit 21: Prominent BDA vendor partnerships/alliances over the next two years, by region – A

Exhibit 22: Prominent BDA vendor partnerships/alliances over the next two years, by region – B

Exhibit 23: Potential strategies to maintain strong BDA vendor relationship

Exhibit 24: Potential strategies to maintain strong BDA vendor relationship, by region

Exhibit 25: Major challenges encountered in implementation of BDA

Exhibit 26: Top five major challenges encountered in implementation of BDA, by region – A

Exhibit 27: Top five major challenges encountered in implementation of BDA, by region – B

Exhibit 28: Organizational prospects towards BDA

Exhibit 29: Top five organizational prospects towards BDA, by region – A

Exhibit 30: Top five organizational prospects towards BDA, by region – B

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