Latest Report Available at Analytical Research Cognizance, “Big Data and Analytics Market” provides pin-point analysis for changing competitive dynamics and a forward looking perspective on different factors driving or restraining industry growth.
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.
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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 isn’t achieved
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.
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Companies mentioned
Accenture
Amazon
Amdocs
Argyle Data
AT&T
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
Telefónica
Teradata
Vodafone
XO Communications
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Some Points from Toc:
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
AT&T
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
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
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