Freeing projects from bad legacy data

Major network projects are stuck or delayed because of misaligned legacy data.

Major network projects, RAN share configurations, new OSS system roll-outs and entire transformations are often stuck or delayed because of the manual effort needed to find, analyse and fix misaligned legacy data.

It doesn't help that much of this data is in formats that vary from software APIs to Excel spreadsheets, or that after years of human editing, a large number of "special cases" and outrght errors stand in the way of anyone hoping to use the data.

In addition to the more usual planning and operations use cases, Ontology can help here too.

T-Mobile Case Study  |  Major South American Operator Case Study

T-Mobile

Case Study

 

Situation

In 2012 T-Mobile realised that parts of their strategic migration to NetCracker would have serious impacts on timeline and cost. This is because of the fact that legacy data sources a major COTS inventory system and (20,000 spreadsheets) would require far more manual effort than originally expected. In addition the risk of getting the migration wrong and needing to re-do manual tasks was very large.

 

Solution

In 12 weeks – over Christmas, 2 Ontology engineers, deployed Ontology Intelligent 360 for Network Operators Customer and Infrastructure Navigation with data from Cramer and 20,000 sheets to create a transmission network topology that could be easily loaded into any target inventory system. Many people had thought this impossible. The systems were developed in 2 week sprints, with incremental features, leading to on time/budget delivery.

 

Benefits

  • On time – on budget migrations are not often achieved – Ontology took on the hardest tasks in the migration programme and delivered them as promised. 
  • This year following LTE updates, Ontology Intelligent 360 for Network Operators was used to reload the data, with small tweaks to the model, and represent updates.
  • Data Quality plans have run smoothly.
  • Ontology has permitted parallel use of old and new systems and fulfilled Ontology’s promise that the cost of ownership is extraordinarily low.

"The solution allows our users to work with the transmission planning spread sheets uninterrupted, with zero or minimum downtime prior to final migration to the network inventory system. "

Pavel Stamenov, Head of Access Network Configuration Department at T-Mobile CZ

Major South American Operator

Case Study

 

Situation

This major South America Mobile and Fixed operator decided that consolidation of over 20 OSS sources was the key to meeting stringent cost and regulatory goals. It subsequently purchased a new Network Inventory product and it looked to the vendor to migrate all of the existing legacy data. After 2 years of delay the operator began to look for alternatives.

 

Solution

Realising that the key to how the data from these systems fits together is best understood by projecting the joined up network that they must describe, the operator chose to trial Ontology. They chose Ontology Intelligent 360 for Network Operators Customer and Infrastructure Navigation and maximised Ontology 4 Platform's ability to align data in a semantic graph.

 

Benefits

  • After just 2 weeks it became obvious that the agile configuration and delivery method of Ontology’s ontology could be used to investigate and realign the legacy data.
  • Although in early stages, Ontology could recover years of investment in the new Inventory program and help to overcome difficult challenges.