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