Big data and analytics: Telco strategies, investments and use cases

Big data and analytics: Telco strategies, investments and use cases

Code: PYR-TC0061IR | Published: May-2016 | Pages: 39 | Pyramid Research
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As the volume of data being created has grown exponentially in the past decade new technologies have emerged and been embraced by organizations in all industry sectors for a number of use cases. The amount of data being generated in the telecoms sector is colossal and there is a clear opportunity for communications service providers (CSPs) to analyze this data themselves and also, subject to legal and regulatory conductions, to sell it to other organizations. Telecoms operators are embracing big data analytics (BDA) with enthusiasm, but while many report that BDA is fully operational and already contributing benefit to their organizations others are still at the exploratory stage of addressing its potential. The key challenges operators face are a lack of BDA skills, organizational issues and siloed data.


Key Findings
- In the past few years CSPs across the world have been working with technology providers and consulting firms on a range of BDA projects. While there are strong indications that virtually every CSP has a BDA initiative, it is still early days for BDA in the telecoms sector.

- Improved customer satisfaction is key driver. Customer satisfaction / churn reduction is the most important driver of BDA implementations among the firms surveyed for the purposes of this report. The ability to personalize services for individual customers is the next highest and also linked to revenue generation. Of importance too as a driver but less so is network optimization, which is focused on cost savings.

- No pattern to how BDA is structured within organizations. A total of 40% of the organizations surveyed opted for a centralized approach when setting up the BDA function in their organization. A third opted for a decentralised approach while just 20% set up a separate business unit.

- The main challenge for telecoms operators nowadays who seek to implement BDA within their organisations is to make important changes to the "culture" of the organization to allow this to work. These changes may not be the same for every organization but there will be some common themes. Telecoms firms tend to be large organizations with traditional hierarchical structures that present a challenge to any new initiative to be deployed across the organization.

- A key factor in a successful implementation is to demonstrate success at an early stage. With this is mind it is essential that the organization does not fall into the trap of setting too many goals and trying to please everyone at once. Even with senior level support for the initiative and a senior person leading the project it is important to be able to show positive results in order to fully demonstrate the benefits of the process. Conversely, by taking the analytical process in small steps it allows the team the flexibility to change direction if any early objective isnt achieved


Synopsis
"Big data and analytics: Telco strategies, investments and use cases" examines the current situation with regard to big data and analytics among communications service providers, the use cases these organizations are harnessing the technology for and to what extent they are being successful. The Report provides an analysis of the industry survey results that obtained insights from service providers and their technology partners on their experiences with BDA implementations. Built around numerous telco case studies from across the world, this report sheds light on best practices for effective use of BDA that may soon mean the difference between winners and losers in the CSP market.

The Report is structured as follows:

- Section 1: Big data / analytics market context

- Section 2: Industry survey results and analysis

- Section 3: Telco BDA strategies, investments and use cases

- Section 4: Key findings and recommendations.


Reasons To Buy
- Explore key drivers and challenges to telco big data and analytics implementations

- Assess big data and analytics adoption

- Examine telco strategies and best practices for commercializing big data and analytics solutions

- Gain insights on telco investment plans for big data and analytics implementations over the next 2-3 years

- Identify the main use cases for current and emerging big data and analytics implementations


Table of Contents

Table of Contents
Executive Summary
Section 1 - Big data / analytics market context Report scope and definitions
Global market context 7 Participants in big data / analytics in the telecoms market
Legal and regulatory framework

Section 2 - Industry survey results and analysis Status of service provider implementation of big data/analytics
Drivers of big data / analytics strategy
Level of financial investment in BDA and operational structure
Perceived challenges to BDA implementation 14 Perceived benefits of BDA implementation
Extent to which perceived benefits have been realized 16 BDA operator / suppliers survey - key insights
BDA operator / supplier survey - challenges to BDA implementation
Recommendations on how to address BDA implementation challenges

Section 3 - Telco BDA strategies, investments and use cases Telco BDA case studies
ATandT
Orange
SingTel
Telefonica 26 BDA use cases in telecom environment
Network optimization use cases: bell mobility, sprint
Fraud detection use cases: vodafone and argyle data
Churn reduction /customer experience management - MTS India, XO communications
BDA as a service to customers / data monetization use cases: Pinsight Media+, Telefonica Dynamic Insights
Use cases: Key insights

Section 4 - Key findings and recommendations Key findings
Recommendations
Appendices
Companies mentioned About Pyramid Research Pyramid Research contact information

List of Tables


Exhibit 1: Key definitions
Exhibit 2: Mobile and Internet penetration, 2015-2020
Exhibit 3: Global ARPS, 2015-2020 7 Exhibit 4: Leading BDA vendors
Exhibit 5: Players in BDA in telecoms
Exhibit 6: Status of big data analytics implementation
Exhibit 7: Drivers of big data/ analytics implementation
Exhibit 8: Extent of financial investment in BDA
Exhibit 9: BDA structure within organizations
Exhibit 10: Challenges to BDA implementation
Exhibit 11: Perceived benefits of BDA implementation
Exhibit 12: Extent of delivery of benefits
Exhibit 13: BDA in telco sector schematic

List of Figures


Exhibit 1: Key definitions
Exhibit 2: Mobile and Internet penetration, 2015-2020
Exhibit 3: Global ARPS, 2015-2020 7 Exhibit 4: Leading BDA vendors
Exhibit 5: Players in BDA in telecoms
Exhibit 6: Status of big data analytics implementation
Exhibit 7: Drivers of big data/ analytics implementation
Exhibit 8: Extent of financial investment in BDA
Exhibit 9: BDA structure within organizations
Exhibit 10: Challenges to BDA implementation
Exhibit 11: Perceived benefits of BDA implementation
Exhibit 12: Extent of delivery of benefits
Exhibit 13: BDA in telco sector schematic
Accenture
Amazon
Amdocs
Argyle Data
ATandT
Bell Mobility
China Unicom
Cisco
Coral Group
DataSpark
Dell
EMC
Facebook
Global Communications Fraud Association
Google
Hewlett-Packard Enterprise
HP Vertica
IBM
KAI Square Pte Ltd
MTS India
Oracle
Orange Business Services
Palantir
Pinsight Media+
PWC
SAP
SAS
SingTel
Sprint
Synergic
Tableau
TelefOnica
Teradata
Vodafone
XO Communications

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