SlideShare a Scribd company logo
By
Vineeth Menon
BITS Pilani
 The project is to compile the customer
location details analysis of authentic mobile
customer based on which further l-commerce
activities can be pursued.
 The profiling of customers can be done in
terms of location, customer behavior
 Here in the initial phases we are focused on
location based analysis where this would
enable us to give patterns or most possible
locations for commerce from location data
 Call Detail Records
Records consisting of caller’s data like time,
incoming, outgoing calls further the SMS,GPRS
data needs to analyzed(based on L-commerce
approach)
(a data file consisting of all these parameters is
reqd.)
 TRx configurations of sites and site locations
These TRx additions actually done after the
higher cell usages are identified. So these data
are relevant to us.
 Call detail records pattern analysis needs to
analyzed day to day.
 R-tool scenarios needs to be automated for
this purpose
 TRx additions are basically done on monthly
basis , hence monthly analysis is perfect ,
exact location data are obtained from this
reports.
Thank you

More Related Content

PPTX
Big Data use cases in telcos
PDF
A Big Data Telco Solution by Dr. Laura Wynter
PDF
Banalytics - Monetizing corporate big data | Instarea
PPTX
Customer insights from telecom data using deep learning
PPTX
Monitizing Big Data at Telecom Service Providers
PDF
Big data analytics for telecom operators final use cases 0712-2014_prof_m erdas
PPTX
WSO2Con - Integrating Telecom Big Data: Challenges and Lessons Learned
PPTX
Meetup prague 201811_v01
Big Data use cases in telcos
A Big Data Telco Solution by Dr. Laura Wynter
Banalytics - Monetizing corporate big data | Instarea
Customer insights from telecom data using deep learning
Monitizing Big Data at Telecom Service Providers
Big data analytics for telecom operators final use cases 0712-2014_prof_m erdas
WSO2Con - Integrating Telecom Big Data: Challenges and Lessons Learned
Meetup prague 201811_v01

What's hot (20)

PDF
Predictive Analytics in Telecommunication
PPTX
Why Analytics is key for Telecoms - you snooze you lose!
PPTX
Hadoop Boosts Profits in Media and Telecom Industry
PDF
Big data & advanced analytics in Telecom: A multi-billion-dollar revenue oppo...
PDF
Benefiting from Big Data - A New Approach for the Telecom Industry
PPTX
Big data in telecom
PDF
Monetizing Big Data with Streaming Analytics for Telecoms Service Providers
PDF
Big Data and OSS at IBM
PDF
Wireless communication in big data era vfinal upload
PDF
SmartCity StreamApp Platform: Real-time Information for Smart Cities and Tran...
PDF
Gis for-telecomm
PPTX
Requirements document for big data use cases
PPTX
Mastering MapReduce: MapReduce for Big Data Management and Analysis
PDF
TigerGraph UI Toolkits Financial Crimes
PDF
Cloudera Enterprise_Data Hub in Telecom
PDF
Big data for Telco: opportunity or threat?
PDF
DataScienceLab2017_Data Sciences и Big Data в Телекоме_Александр Саенко
PDF
The Role of the Logical Data Fabric in a Unified Platform for Modern Analytics
PDF
Predictive Analytics in Telecommunication
Why Analytics is key for Telecoms - you snooze you lose!
Hadoop Boosts Profits in Media and Telecom Industry
Big data & advanced analytics in Telecom: A multi-billion-dollar revenue oppo...
Benefiting from Big Data - A New Approach for the Telecom Industry
Big data in telecom
Monetizing Big Data with Streaming Analytics for Telecoms Service Providers
Big Data and OSS at IBM
Wireless communication in big data era vfinal upload
SmartCity StreamApp Platform: Real-time Information for Smart Cities and Tran...
Gis for-telecomm
Requirements document for big data use cases
Mastering MapReduce: MapReduce for Big Data Management and Analysis
TigerGraph UI Toolkits Financial Crimes
Cloudera Enterprise_Data Hub in Telecom
Big data for Telco: opportunity or threat?
DataScienceLab2017_Data Sciences и Big Data в Телекоме_Александр Саенко
The Role of the Logical Data Fabric in a Unified Platform for Modern Analytics
Ad

Viewers also liked (20)

PDF
Big Data Telecom
PPTX
Monetizing Big Data at Telecom Service Providers
PDF
CDR-Stats : VoIP Analytics Solution for Asterisk and FreeSWITCH with MongoDB
PPTX
Big Data CDR Analyzer - Kanthaka
PPTX
Data analytics telecom churn final ppt
PPT
Ativ1 4 rafaelaam
PPTX
Telecom Analytics
PDF
Kanthaka - High Volume CDR Analyzer
PPTX
Data Science Strategy
PPTX
Open data quality
PDF
Smart Analytics For The Utility Sector
PPTX
Data mining in Telecommunications
PPTX
Big Data Use Cases
PPTX
Deutsche Telekom on Big Data
PPT
Telecom ppt
PPTX
Deep Learning for Fraud Detection
PDF
PayPal's Fraud Detection with Deep Learning in H2O World 2014
PPTX
What is big data?
PPT
Big Data
PDF
Big Data Analytics in Energy & Utilities
Big Data Telecom
Monetizing Big Data at Telecom Service Providers
CDR-Stats : VoIP Analytics Solution for Asterisk and FreeSWITCH with MongoDB
Big Data CDR Analyzer - Kanthaka
Data analytics telecom churn final ppt
Ativ1 4 rafaelaam
Telecom Analytics
Kanthaka - High Volume CDR Analyzer
Data Science Strategy
Open data quality
Smart Analytics For The Utility Sector
Data mining in Telecommunications
Big Data Use Cases
Deutsche Telekom on Big Data
Telecom ppt
Deep Learning for Fraud Detection
PayPal's Fraud Detection with Deep Learning in H2O World 2014
What is big data?
Big Data
Big Data Analytics in Energy & Utilities
Ad

Similar to telecom analytics ppt (20)

PDF
driving_business_value_from_real_time_streaming_analytics
PPTX
Guideline for Call Data Record Analysis by Raghu Khimani
PDF
Demystifying location data accuracy
PDF
5733 a deep dive into IBM Watson Foundation for CSP (WFC)
PDF
Big Data Analytics for Contact Centers
PDF
Forrester Wave - Big data streaming analytics platforms
PDF
Data Centric Transformation in Telecom
PDF
proposal.compressed
PPTX
Big data analytics
PPT
Orbis Product Overview And Utility
PDF
Innovaccer service capabilities with case studies
PPTX
Big Data use cases in telcos
DOCX
Resume_Indrani Banerjee
DOCX
Mike Settino Resume & Work History
PDF
Big Data Analytics Summit - April, 2014
PPTX
[Big] Data For Marketers: Targeting the Right Market
DOCX
Metadata
PDF
Large Scale Data Analytics
PPTX
Improving Organizational Decision Making Using a SAF-T based Business Intelli...
PDF
Three-S Retail Automation (AcilimSoft Product)
driving_business_value_from_real_time_streaming_analytics
Guideline for Call Data Record Analysis by Raghu Khimani
Demystifying location data accuracy
5733 a deep dive into IBM Watson Foundation for CSP (WFC)
Big Data Analytics for Contact Centers
Forrester Wave - Big data streaming analytics platforms
Data Centric Transformation in Telecom
proposal.compressed
Big data analytics
Orbis Product Overview And Utility
Innovaccer service capabilities with case studies
Big Data use cases in telcos
Resume_Indrani Banerjee
Mike Settino Resume & Work History
Big Data Analytics Summit - April, 2014
[Big] Data For Marketers: Targeting the Right Market
Metadata
Large Scale Data Analytics
Improving Organizational Decision Making Using a SAF-T based Business Intelli...
Three-S Retail Automation (AcilimSoft Product)

Recently uploaded (20)

PDF
Approach and Philosophy of On baking technology
PDF
cuic standard and advanced reporting.pdf
PDF
Diabetes mellitus diagnosis method based random forest with bat algorithm
PDF
Profit Center Accounting in SAP S/4HANA, S4F28 Col11
PPT
Teaching material agriculture food technology
PPT
“AI and Expert System Decision Support & Business Intelligence Systems”
PPTX
Machine Learning_overview_presentation.pptx
PDF
Peak of Data & AI Encore- AI for Metadata and Smarter Workflows
PDF
Chapter 3 Spatial Domain Image Processing.pdf
PDF
Electronic commerce courselecture one. Pdf
PDF
Reach Out and Touch Someone: Haptics and Empathic Computing
PDF
The Rise and Fall of 3GPP – Time for a Sabbatical?
PDF
Empathic Computing: Creating Shared Understanding
PDF
TokAI - TikTok AI Agent : The First AI Application That Analyzes 10,000+ Vira...
PPTX
Big Data Technologies - Introduction.pptx
PDF
MIND Revenue Release Quarter 2 2025 Press Release
PDF
Mobile App Security Testing_ A Comprehensive Guide.pdf
PDF
Building Integrated photovoltaic BIPV_UPV.pdf
PPTX
A Presentation on Artificial Intelligence
PDF
Assigned Numbers - 2025 - Bluetooth® Document
Approach and Philosophy of On baking technology
cuic standard and advanced reporting.pdf
Diabetes mellitus diagnosis method based random forest with bat algorithm
Profit Center Accounting in SAP S/4HANA, S4F28 Col11
Teaching material agriculture food technology
“AI and Expert System Decision Support & Business Intelligence Systems”
Machine Learning_overview_presentation.pptx
Peak of Data & AI Encore- AI for Metadata and Smarter Workflows
Chapter 3 Spatial Domain Image Processing.pdf
Electronic commerce courselecture one. Pdf
Reach Out and Touch Someone: Haptics and Empathic Computing
The Rise and Fall of 3GPP – Time for a Sabbatical?
Empathic Computing: Creating Shared Understanding
TokAI - TikTok AI Agent : The First AI Application That Analyzes 10,000+ Vira...
Big Data Technologies - Introduction.pptx
MIND Revenue Release Quarter 2 2025 Press Release
Mobile App Security Testing_ A Comprehensive Guide.pdf
Building Integrated photovoltaic BIPV_UPV.pdf
A Presentation on Artificial Intelligence
Assigned Numbers - 2025 - Bluetooth® Document

telecom analytics ppt

  • 2.  The project is to compile the customer location details analysis of authentic mobile customer based on which further l-commerce activities can be pursued.
  • 3.  The profiling of customers can be done in terms of location, customer behavior  Here in the initial phases we are focused on location based analysis where this would enable us to give patterns or most possible locations for commerce from location data
  • 4.  Call Detail Records Records consisting of caller’s data like time, incoming, outgoing calls further the SMS,GPRS data needs to analyzed(based on L-commerce approach) (a data file consisting of all these parameters is reqd.)  TRx configurations of sites and site locations These TRx additions actually done after the higher cell usages are identified. So these data are relevant to us.
  • 5.  Call detail records pattern analysis needs to analyzed day to day.  R-tool scenarios needs to be automated for this purpose  TRx additions are basically done on monthly basis , hence monthly analysis is perfect , exact location data are obtained from this reports.