SlideShare ist ein Scribd-Unternehmen logo
1 von 4
Downloaden Sie, um offline zu lesen
Rorotika’s Self-Organizing Network
solution, with all the intelligence needed
to automate a radio network environment,
reduce faults and increase revenues.
Rorotika’s SON
                                                                                         Self-Organising Network Solution
                                                 Operators need to analyse data from several different network interfaces, systems and
                                                 departments in order to optimise their network infrastructure and expenditure, while
                                                 growing ARPU, profitability and market share. Such systems include Performance
                                                 Management, Configuration Management, Fault Management, Customer Experience
SON Features                                     Management and the Charging System.

                                                 Operators face the following challenges:
                                                     Isolation of network subsystems thwarts data analysis
Multi: Vendor, Technology, Node, Handset
                                                     Fault reporting is dispersed across systems, resulting in low visibility and accountability
Expert-driven inference engine
                                                     Root cause analysis requires manual data correlation efforts across multiple systems
Revenue-driven fault costing and ranking
                                                     Isolated systems have ineffective methods of prioritising faults and alarms
Discrepancy resolution or recommendation
reporting                                            Lack of revenue data correlation hides valuable information about the cost of faults
                                                     and hinders effective prioritisation.
Correlation of network-based (PM)          vs
handset-based (CEM) fault information                Lack of CEM data correlation hides valuable information about the problems being
                                                     experienced on the ground, and their exact locations.
Geo-accurate fault detection and root-cause
analysis                                         Rorotika’s SON is a centralised analytics and data correlation engine with the following key
                                                 components.
Route tracing, B-number analysis, policy
management, site value and upgrade /
downgrade reporting
Seamless integration between SON products
Cost-effective technologies                                   Netcm
Strategy-based BI & reporting (Revenue vs KPI)   In a complex multi-vendor and multi-technology environment, NetCM provides a brand
                                                 new, automated, repeatable and independent review of the status of network parameters.
GIS interface for easy navigation                This web-based product is unique in its ability to manage core parameters, analyse
                                                 B-numbers, identify routing problems, and determine BSS parameter faults. NetCM
Configuration of new and existing sites and
                                                 automatically processes the parameter information, highlights inconsistencies and
NodeBs
                                                 pinpoints key areas where settings do not conform to OEM best practice or to
Simultaneous node command execution              operator-specific policies. MML scripts are generated to fix inconsistencies, as well as
                                                 manage planned activities. NetCM works toward consolidating all vendor technologies on
                                                 one platform.
WWW
          MSC
        GGSN
      STP
     SGSN
                                                                      HANDSET
    HLR
   MGW
  BSC
  RNC      Netcm           CM                     Event
                          Data                    Data

                                        SON

                                                                                                                    SON Components
                            PM Data         CDR Data
                                                                                         Key components of Rorotika’s SON, a centralised
                                                                                                  analytics and data correlation engine
       BSC
        RNC           Netpm                   Netrevenue
           OMC                                                   IN
             MSC




             Netpm
NetPM is Rorotika’s multi-vendor, multi-technology performance management solution. Built on proven mission-critical ETL technology, NetPM
provides a powerful, web-based interface to your network performance. Built on a PostgreSQL database and OLAP processing engine, NetPM aims to
keep unnecessary costs down while providing an attractive web-based interface for effective reporting and analysis. NetPM leverages off Rorotika’s
wealth of knowledge and experience in the MNO performance and optimisation arena to bring expert driven reports and content to the user.




                                                                                            Netrevenue
The NetTrax CEM tool from RanWorx fully integrates with the Rorotika            NetRevenue is a bulk revenue data acquisition, summarisation and
SON solution to provide a comprehensive view of handset-based                   reporting solution.
events, recurring network faults and problematic routes with
pinpoint accuracy. NetTrax provides a feature-rich web-based                    NetRevenue is built on technology which has been vigorously
interface with powerful reporting, drill-down capabilities and                  load-tested and commercially proven in tier-1 networks in populous
subscriber event-tracking capabilities. NetTrax also supports Network           environments such as Nigeria and Bangladesh.
Initiated Logging (NIL) which allows an operator to analyse custom              NetRevenue provides an extremely robust interface to the IN CDR
test routes and interval reports for target handsets in a specified area.       platform, extracting valuable information about site value and revenue
Handset software resides on standard commercially available smart               trends at site level. This information allows for fault costing and
phones, running Windows Mobile OS, Android, Blackberry and                      cost-priority fault management.
Symbian.
Rorotika SON

Weitere ähnliche Inhalte

Andere mochten auch

Pattern of diffusion of the UNE 166002 innovation management standard: an exp...
Pattern of diffusion of the UNE 166002 innovation management standard: an exp...Pattern of diffusion of the UNE 166002 innovation management standard: an exp...
Pattern of diffusion of the UNE 166002 innovation management standard: an exp...Moises Mir
 
Rorotika VAS products
Rorotika VAS productsRorotika VAS products
Rorotika VAS productsFrans_Joubert
 
Sms country profile 1
Sms country profile 1Sms country profile 1
Sms country profile 1Manish Dubey
 
Rorotika son booklet - online
Rorotika   son booklet - onlineRorotika   son booklet - online
Rorotika son booklet - onlineFrans_Joubert
 
Rorotika Self-Organising Network Solution (SON)
Rorotika Self-Organising Network Solution (SON)Rorotika Self-Organising Network Solution (SON)
Rorotika Self-Organising Network Solution (SON)Frans_Joubert
 

Andere mochten auch (6)

Pattern of diffusion of the UNE 166002 innovation management standard: an exp...
Pattern of diffusion of the UNE 166002 innovation management standard: an exp...Pattern of diffusion of the UNE 166002 innovation management standard: an exp...
Pattern of diffusion of the UNE 166002 innovation management standard: an exp...
 
Rorotika VAS products
Rorotika VAS productsRorotika VAS products
Rorotika VAS products
 
Sms country profile 1
Sms country profile 1Sms country profile 1
Sms country profile 1
 
Rorotika son booklet - online
Rorotika   son booklet - onlineRorotika   son booklet - online
Rorotika son booklet - online
 
Rorotika Self-Organising Network Solution (SON)
Rorotika Self-Organising Network Solution (SON)Rorotika Self-Organising Network Solution (SON)
Rorotika Self-Organising Network Solution (SON)
 
IW:LEARN 7 Years of Plone
IW:LEARN 7 Years of PloneIW:LEARN 7 Years of Plone
IW:LEARN 7 Years of Plone
 

Ähnlich wie Rorotika SON

Whitepaper: Mobile Networks in a smart digital future - deploying a platform ...
Whitepaper: Mobile Networks in a smart digital future - deploying a platform ...Whitepaper: Mobile Networks in a smart digital future - deploying a platform ...
Whitepaper: Mobile Networks in a smart digital future - deploying a platform ...Petr Nemec
 
Mindtree's expertise in machine to machine (M2M).
Mindtree's expertise in machine to machine (M2M).Mindtree's expertise in machine to machine (M2M).
Mindtree's expertise in machine to machine (M2M).Mindtree Ltd.
 
5G Multi-Access Edge Compute
5G Multi-Access Edge Compute5G Multi-Access Edge Compute
5G Multi-Access Edge ComputeMichelle Holley
 
Addressing the Complexity and Risks of M2M Projects - M2M World Congress Apri...
Addressing the Complexity and Risks of M2M Projects - M2M World Congress Apri...Addressing the Complexity and Risks of M2M Projects - M2M World Congress Apri...
Addressing the Complexity and Risks of M2M Projects - M2M World Congress Apri...Eurotech
 
NMS Projects and POCs completed and ongoing for OSS NAM v 1.5 Linkedin
NMS Projects and POCs completed and ongoing for OSS NAM v 1.5 LinkedinNMS Projects and POCs completed and ongoing for OSS NAM v 1.5 Linkedin
NMS Projects and POCs completed and ongoing for OSS NAM v 1.5 LinkedinJavier Guillermo, MBA, MSc, PMP
 
IoT and the Oil & Gas industry at M2M Oil & Gas 2014 in London
IoT and the Oil & Gas industry at M2M Oil & Gas 2014 in LondonIoT and the Oil & Gas industry at M2M Oil & Gas 2014 in London
IoT and the Oil & Gas industry at M2M Oil & Gas 2014 in LondonEurotech
 
ioT and Machine 2 Machine Computing
ioT and Machine 2 Machine ComputingioT and Machine 2 Machine Computing
ioT and Machine 2 Machine ComputingVikram Nandini
 
Webinar: Synergy turbinado com o SSP1.4: criptografia elíptica, vídeo pela US...
Webinar: Synergy turbinado com o SSP1.4: criptografia elíptica, vídeo pela US...Webinar: Synergy turbinado com o SSP1.4: criptografia elíptica, vídeo pela US...
Webinar: Synergy turbinado com o SSP1.4: criptografia elíptica, vídeo pela US...Embarcados
 
ServicePilot NBA for z/OS Datasheet [EN]
ServicePilot NBA for z/OS Datasheet [EN]ServicePilot NBA for z/OS Datasheet [EN]
ServicePilot NBA for z/OS Datasheet [EN]ServicePilot
 
Cisco Multi Domain Service Optimization
Cisco Multi Domain Service Optimization Cisco Multi Domain Service Optimization
Cisco Multi Domain Service Optimization Dmitry Orzhehovsky
 
Software Defined Networking/ Networking/ Traditional Networking/ SDN Benefits
Software Defined Networking/ Networking/ Traditional Networking/ SDN BenefitsSoftware Defined Networking/ Networking/ Traditional Networking/ SDN Benefits
Software Defined Networking/ Networking/ Traditional Networking/ SDN BenefitsMehak Azeem
 
Work Experiences in ChinaTMN
Work Experiences in ChinaTMNWork Experiences in ChinaTMN
Work Experiences in ChinaTMNZhijie Li
 

Ähnlich wie Rorotika SON (20)

Rorotika Self Organising Network (SON) Solution
Rorotika Self Organising Network (SON) SolutionRorotika Self Organising Network (SON) Solution
Rorotika Self Organising Network (SON) Solution
 
Whitepaper: Mobile Networks in a smart digital future - deploying a platform ...
Whitepaper: Mobile Networks in a smart digital future - deploying a platform ...Whitepaper: Mobile Networks in a smart digital future - deploying a platform ...
Whitepaper: Mobile Networks in a smart digital future - deploying a platform ...
 
Mindtree's expertise in machine to machine (M2M).
Mindtree's expertise in machine to machine (M2M).Mindtree's expertise in machine to machine (M2M).
Mindtree's expertise in machine to machine (M2M).
 
5G Multi-Access Edge Compute
5G Multi-Access Edge Compute5G Multi-Access Edge Compute
5G Multi-Access Edge Compute
 
Software Defined Networking – Virtualization of Traffic Engineering
Software Defined Networking – Virtualization of Traffic EngineeringSoftware Defined Networking – Virtualization of Traffic Engineering
Software Defined Networking – Virtualization of Traffic Engineering
 
Programmable WAN Networking is SFW
Programmable WAN Networking is SFWProgrammable WAN Networking is SFW
Programmable WAN Networking is SFW
 
Addressing the Complexity and Risks of M2M Projects - M2M World Congress Apri...
Addressing the Complexity and Risks of M2M Projects - M2M World Congress Apri...Addressing the Complexity and Risks of M2M Projects - M2M World Congress Apri...
Addressing the Complexity and Risks of M2M Projects - M2M World Congress Apri...
 
Network Monitoring Tools
Network Monitoring ToolsNetwork Monitoring Tools
Network Monitoring Tools
 
NMS Projects and POCs completed and ongoing for OSS NAM v 1.5 Linkedin
NMS Projects and POCs completed and ongoing for OSS NAM v 1.5 LinkedinNMS Projects and POCs completed and ongoing for OSS NAM v 1.5 Linkedin
NMS Projects and POCs completed and ongoing for OSS NAM v 1.5 Linkedin
 
IoT and the Oil & Gas industry at M2M Oil & Gas 2014 in London
IoT and the Oil & Gas industry at M2M Oil & Gas 2014 in LondonIoT and the Oil & Gas industry at M2M Oil & Gas 2014 in London
IoT and the Oil & Gas industry at M2M Oil & Gas 2014 in London
 
Guard Era Corp Brochure 2008
Guard Era Corp Brochure 2008Guard Era Corp Brochure 2008
Guard Era Corp Brochure 2008
 
Champion Analytics Soln A4
Champion Analytics Soln A4Champion Analytics Soln A4
Champion Analytics Soln A4
 
ioT and Machine 2 Machine Computing
ioT and Machine 2 Machine ComputingioT and Machine 2 Machine Computing
ioT and Machine 2 Machine Computing
 
Webinar: Synergy turbinado com o SSP1.4: criptografia elíptica, vídeo pela US...
Webinar: Synergy turbinado com o SSP1.4: criptografia elíptica, vídeo pela US...Webinar: Synergy turbinado com o SSP1.4: criptografia elíptica, vídeo pela US...
Webinar: Synergy turbinado com o SSP1.4: criptografia elíptica, vídeo pela US...
 
ServicePilot NBA for z/OS Datasheet [EN]
ServicePilot NBA for z/OS Datasheet [EN]ServicePilot NBA for z/OS Datasheet [EN]
ServicePilot NBA for z/OS Datasheet [EN]
 
Cisco Multi Domain Service Optimization
Cisco Multi Domain Service Optimization Cisco Multi Domain Service Optimization
Cisco Multi Domain Service Optimization
 
NFV SDN for carriers
NFV SDN for carriersNFV SDN for carriers
NFV SDN for carriers
 
Tx broadnet pages
Tx broadnet pagesTx broadnet pages
Tx broadnet pages
 
Software Defined Networking/ Networking/ Traditional Networking/ SDN Benefits
Software Defined Networking/ Networking/ Traditional Networking/ SDN BenefitsSoftware Defined Networking/ Networking/ Traditional Networking/ SDN Benefits
Software Defined Networking/ Networking/ Traditional Networking/ SDN Benefits
 
Work Experiences in ChinaTMN
Work Experiences in ChinaTMNWork Experiences in ChinaTMN
Work Experiences in ChinaTMN
 

Kürzlich hochgeladen

GenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdfGenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdflior mazor
 
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProduct Anonymous
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processorsdebabhi2
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc
 
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsJoaquim Jorge
 
HTML Injection Attacks: Impact and Mitigation Strategies
HTML Injection Attacks: Impact and Mitigation StrategiesHTML Injection Attacks: Impact and Mitigation Strategies
HTML Injection Attacks: Impact and Mitigation StrategiesBoston Institute of Analytics
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FMESafe Software
 
Deploy with confidence: VMware Cloud Foundation 5.1 on next gen Dell PowerEdg...
Deploy with confidence: VMware Cloud Foundation 5.1 on next gen Dell PowerEdg...Deploy with confidence: VMware Cloud Foundation 5.1 on next gen Dell PowerEdg...
Deploy with confidence: VMware Cloud Foundation 5.1 on next gen Dell PowerEdg...Principled Technologies
 
presentation ICT roal in 21st century education
presentation ICT roal in 21st century educationpresentation ICT roal in 21st century education
presentation ICT roal in 21st century educationjfdjdjcjdnsjd
 
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...apidays
 
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...DianaGray10
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerThousandEyes
 
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, AdobeApidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobeapidays
 
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyKhushali Kathiriya
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationSafe Software
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationRadu Cotescu
 
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...apidays
 
Real Time Object Detection Using Open CV
Real Time Object Detection Using Open CVReal Time Object Detection Using Open CV
Real Time Object Detection Using Open CVKhem
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfsudhanshuwaghmare1
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024Rafal Los
 

Kürzlich hochgeladen (20)

GenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdfGenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdf
 
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
 
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
 
HTML Injection Attacks: Impact and Mitigation Strategies
HTML Injection Attacks: Impact and Mitigation StrategiesHTML Injection Attacks: Impact and Mitigation Strategies
HTML Injection Attacks: Impact and Mitigation Strategies
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 
Deploy with confidence: VMware Cloud Foundation 5.1 on next gen Dell PowerEdg...
Deploy with confidence: VMware Cloud Foundation 5.1 on next gen Dell PowerEdg...Deploy with confidence: VMware Cloud Foundation 5.1 on next gen Dell PowerEdg...
Deploy with confidence: VMware Cloud Foundation 5.1 on next gen Dell PowerEdg...
 
presentation ICT roal in 21st century education
presentation ICT roal in 21st century educationpresentation ICT roal in 21st century education
presentation ICT roal in 21st century education
 
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...
 
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, AdobeApidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
 
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organization
 
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
 
Real Time Object Detection Using Open CV
Real Time Object Detection Using Open CVReal Time Object Detection Using Open CV
Real Time Object Detection Using Open CV
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024
 

Rorotika SON

  • 1. Rorotika’s Self-Organizing Network solution, with all the intelligence needed to automate a radio network environment, reduce faults and increase revenues.
  • 2. Rorotika’s SON Self-Organising Network Solution Operators need to analyse data from several different network interfaces, systems and departments in order to optimise their network infrastructure and expenditure, while growing ARPU, profitability and market share. Such systems include Performance Management, Configuration Management, Fault Management, Customer Experience SON Features Management and the Charging System. Operators face the following challenges: Isolation of network subsystems thwarts data analysis Multi: Vendor, Technology, Node, Handset Fault reporting is dispersed across systems, resulting in low visibility and accountability Expert-driven inference engine Root cause analysis requires manual data correlation efforts across multiple systems Revenue-driven fault costing and ranking Isolated systems have ineffective methods of prioritising faults and alarms Discrepancy resolution or recommendation reporting Lack of revenue data correlation hides valuable information about the cost of faults and hinders effective prioritisation. Correlation of network-based (PM) vs handset-based (CEM) fault information Lack of CEM data correlation hides valuable information about the problems being experienced on the ground, and their exact locations. Geo-accurate fault detection and root-cause analysis Rorotika’s SON is a centralised analytics and data correlation engine with the following key components. Route tracing, B-number analysis, policy management, site value and upgrade / downgrade reporting Seamless integration between SON products Cost-effective technologies Netcm Strategy-based BI & reporting (Revenue vs KPI) In a complex multi-vendor and multi-technology environment, NetCM provides a brand new, automated, repeatable and independent review of the status of network parameters. GIS interface for easy navigation This web-based product is unique in its ability to manage core parameters, analyse B-numbers, identify routing problems, and determine BSS parameter faults. NetCM Configuration of new and existing sites and automatically processes the parameter information, highlights inconsistencies and NodeBs pinpoints key areas where settings do not conform to OEM best practice or to Simultaneous node command execution operator-specific policies. MML scripts are generated to fix inconsistencies, as well as manage planned activities. NetCM works toward consolidating all vendor technologies on one platform.
  • 3. WWW MSC GGSN STP SGSN HANDSET HLR MGW BSC RNC Netcm CM Event Data Data SON SON Components PM Data CDR Data Key components of Rorotika’s SON, a centralised analytics and data correlation engine BSC RNC Netpm Netrevenue OMC IN MSC Netpm NetPM is Rorotika’s multi-vendor, multi-technology performance management solution. Built on proven mission-critical ETL technology, NetPM provides a powerful, web-based interface to your network performance. Built on a PostgreSQL database and OLAP processing engine, NetPM aims to keep unnecessary costs down while providing an attractive web-based interface for effective reporting and analysis. NetPM leverages off Rorotika’s wealth of knowledge and experience in the MNO performance and optimisation arena to bring expert driven reports and content to the user. Netrevenue The NetTrax CEM tool from RanWorx fully integrates with the Rorotika NetRevenue is a bulk revenue data acquisition, summarisation and SON solution to provide a comprehensive view of handset-based reporting solution. events, recurring network faults and problematic routes with pinpoint accuracy. NetTrax provides a feature-rich web-based NetRevenue is built on technology which has been vigorously interface with powerful reporting, drill-down capabilities and load-tested and commercially proven in tier-1 networks in populous subscriber event-tracking capabilities. NetTrax also supports Network environments such as Nigeria and Bangladesh. Initiated Logging (NIL) which allows an operator to analyse custom NetRevenue provides an extremely robust interface to the IN CDR test routes and interval reports for target handsets in a specified area. platform, extracting valuable information about site value and revenue Handset software resides on standard commercially available smart trends at site level. This information allows for fault costing and phones, running Windows Mobile OS, Android, Blackberry and cost-priority fault management. Symbian.