[email protected] +44 20 8123 2220 (UK) +1 732 587 5005 (US) Contact Us | FAQ |

Global Telcos and Big Data: Exploring opportunities by leveraging untapped Big Data, BI and Analytics potential - April 2018

April 2018 | 132 pages | ID: G87A3987DAFEN
Westward Research LLP

US$ 1,500.00

E-mail Delivery (PDF)

Download PDF Leaflet

Wire Transfer
Checkout Later
Need Help? Ask a Question
“Global Telcos and Big Data: Exploring opportunities by leveraging untapped Big Data, BI and Analytics potential” – April 2018 edition report provides an overview of the challenges being faced by the global telcos and highlights the potential revenue and business growth opportunities which can be pursued by leveraging the capabilities and features offered by Big Data, BI and Analytics. It also highlights of the Big Data application areas in various functions and processes of the telcos. It provides a detailed overview of the capabilities of leading/niche vendors operating in the CME vertical and also the contracts/deal trends across various regions. The report also highlights the market overview wrt leading vendor strategic and corporate initiatives since 2017.
1. BIG DATA, BI AND ANALYTICS IN TELCOS: OVERVIEW, ADOPTION, USAGE AREAS AND BENEFITS

Usage of Big Data, BI and Analytics by Telcos
Timeframe for using Big Data, BI and Analytics
Usage areas of Big Data/BI and Analytics amongst telcos
Usage of Big Data, BI and Analytics across various functions in telcos
Potential Usage of Big Data across various processes in telcos
Usage of Big Data, BI and Analytics by Telcos for various services
Usage of Big Data, BI and Analytics by Telcos for Predictive Analytics during Customer Lifecycle Management
Big Data, BI and Analytics by Telcos Customer Lifecycle Analytics
Mobile App and Analytics
Challenges faced in the Telecom industry
Benefits of Big Data

2. KEY BIG DATA, BI AND ANALYTICS COMPETITIVE COMPARATOR MATRIX

Leading Data and Analytics Service providers across different industry verticals
Product Functionalities of Leading Vendors for Customer Lifecycle Analytics
Mobile App Analytics Behavioral Capabilities of leading Vendors
Mobile App Analytics Operational Capabilities of leading Vendors
Leading Data and Analytics Service providers by Business Process Domain Analytics capabilities
Leading Data and Analytics Service providers by Type of Data Source and Analytics Methods

3. BIG DATA, BI AND ANALYTICS CONTRACT TREND ANALYSIS, 2011-2017

Global Big Data, BI and Analytics deals trend (by Contract Value and Count), 2011-2017
Global Big Data, BI and Analytics deals trend (by Average Contract Value and Contract duration), 2011-2017
Big Data, BI and Analytics deal trends in Asia-Pacific region (by Contract Value and Count), 2011-2017
Big Data, BI and Analytics deal trends in Europe region (by Contract Value and Count), 2011-2017
Big Data, BI and Analytics deal trends in North America region (by Contract Value and Count), 2011-2017
Big Data, BI and Analytics deal trends in Middle East & Africa region (by Contract Value and Count), 2011-2017
Leading Vendors in terms of Contract Value and Number of contracts for Big Data, BI and Analytics globally, 2011-2017
Leading Clients in terms of Contract Value and Number of contracts for Big Data, BI and Analytics globally, 2011-2017

4. KEY MARKET DEVELOPMENTS IN 2017 & Q1-2018

Product Initiatives
Partnerships & Alliances
Contract Wins
Mergers & Acquisitions
Company/Corporate announcements

5. PROFILE SNAPSHOT OF LEADING BIG DATA, BI AND ANALYTICS VENDORS

6. CASE STUDIES

Zain Group and Flytxt
Etisalat Misr and IBM
Telstra
Telstra and SAS
BICS and Informatica
Telefonica and Cloudera
SFR and Cloudera
Orange and Trifacta
Comcast and Informatica
Telkomsel Selular and Informatica
A Leading African operator and Mahindra Comviva
Cricket and Splunk
Vodafone New Zealand and Teradata
Telenor and Splunk

7. KEY FORECAST IN BIG DATA, BI AND ANALYTICS ACROSS VARIOUS PRODUCT/OFFERING MARKETS

Global Spending on Business Intelligence and Analytics, 2016-2021
Global Spending on Database Management Systems, 2016-2021
Global Spending on Data Integration Tools and Data Quality Tools, 2016-2021


More Publications