Faster and more accurate network and revenue planning

Planning and revenue optimisation jobs are frustrated or delayed because of extensive effort and time needed to understand the network infrastructure.

A plan is only as good as the information on which it is based.  An accurate and dynamic understanding of the current (multi-technology and multi-vendor) network is a minimum prerequisite to any planning or optimisation goal in communications

Not having accurate, timely data will at the very least result in delayed and less than optimal results, in the worst case missing or incorrect network data can invalidate entire projects.

Global Crossing Case Study  |  H3G Case Study  |  Ericsson Case Study  |  Telkom South Africa Case Study

Global Crossing

Case Study

 

Situation

After 10 years of acquisitions, Global Crossing saw an opportunity to improve margins by linking network inventory and enterprise customers for faster revenue optimisation. But, with multiple poorly related inventories and CRMs, a cost effective solution seemed almost out of reach.

 

Solution

Global crossing recognised that the key to linking the data together was understanding the network topology, and they deployed Ontology Intelligent 360 for Network Operators Customer and Infrastructure Navigation to do just that. Combining over 6 legacy sources in a single topology in approximately 10 weeks.

 

Benefits

  • The solution was used as a service following the acquisition of Global Crossing by Level 3 Communication to complete data clean-up.

The team at Global Crossing were so impressed that they delivered a Case Study at TM Forum Management World 2011 in Dublin.

H3G

Case Study

 

Situation

In 2011, H3G UK realised that rapidly increasing BW and managing the rapid growth in data volumes due to smartphone adoption was flooding the IP core network. H3G also suspected that they had enough spare ATM and underutilised IP capacity to boost traffic capacity. However H3G lacked a joined up multi-vendor, multi-technology view to help planners find and visualise current infrastructure elements and validate completed changes.

 

Solution

H3G installed Ontology Intelligent 360 for Network Operators Customer and Infrastructure Navigation in 2012, deployment only took 30 days. The solution delivered dynamic topology and reports across Optical, ATM, IP networks as well as a large legacy inventory.

 

Benefits

  • The program finished successfully in only 5 months - ahead of schedule.
  • The capital saving was considerable, ROI was achieved in the first 3 weeks of operation.
  • H3G customers continued to see excellent BW performance – a Key USP for the company.

Ericsson

Case Study

 

Situation

When Ericsson was bidding for the contract for one of the Middle East and Africa’s largest subscriber networks, the need for better trouble-shooting became a matter of profit and loss. Intelligent operational automation was one of Ericsson's differentiators, but with 7 major OSS systems and thousands of configuration files, the question was “where do we start?”

 

Solution

In 4 months, 2 Ontology engineers deployed Ontology Intelligent 360 for Network Operators Network Troubleshooting to build an initial dynamic graphical view of the Client RAN, transmission and IP network. This dynamic topology allowed navigation of, and drill-down into, any network path and element.

The systems was developed in 2 week sprints, that responded to operators needs for functionality and specifically focused reports for network operations improvement.

 

Benefits

Ericsson remained clearly differentiated from the completion and won the contract. The use of a dynamic graphical topology reduced the time taken to troubleshoot faults. Specific issues have been dealt with via dynamic reports. For example: 

  • Microwave links with protection mismatches.
  • Transmission circuits with broken paths.
  • BTSs and Node Bs without cells.

" Ontology’s semantic search-led approach enabled Ericsson to quickly and relatively easily combine device and configuration data to provide a single, accurate view of network misalignments – something we believed was not achievable using traditional integration approaches. "

Paul Turner, Data Integrity Manager at Ericsson UK

Telkom South Africa

Case Study

 

Situation

Telkom, the leading multi-billion dollar communications services provider in South Africa, embarked on a substantial MDM program to increase customer satisfaction and strengthen their competitive position. In a nutshell - conventional approaches to MDM data load were not working.

  • Only ~60% of data aligned using full match keys.
  • Data Rules discovery took four (4) months for just one (of 8) Network data source.
  • Traditional approaches of modelling data couldn’t account for the real life variability of the network.
 

Solution

Telkom started with a short project to see if Ontology Intelligent 360 for Network Operators Customer and Infrastructure Navigation with the underlying Data Integrity Alignment capabilities built into the Ontology 4 platform could align the network data before loading it into the MDM.

 

Benefits

The trial proved Ontology’s capabilities and resulted in the deployment of Ontology for multiple uses within Telkom. Ontology achieved 93% of matches in just 2 months, specifically:

  • 100% cabinets. 
  • 97% nodes.
  • 91% of ports.
  • 91% service links, 85% of topology links.

"By correlating misaligned data from multiple data sources, Ontology enabled us to get value for our MDM solution and the results were immediate. "

Molefi Moeketsi, Enterprise Data Architect, Telkom SA