FOR IMMEDIATE RELEASE
T-Mobile Czech Republic Deploys Ontology for Network Inventory Migration
London, UK – March 7, 2013: Ontology Systems, the semantic search company for structured enterprise application data, announce T-Mobile Czech Republic, the largest mobile operator in the Czech Republic and a pioneer in telecommunications, has deployed Ontology to collect, align and consolidate transmission network data from multiple existing information sources ready to migrate into an interim database and ultimately into Amdocs OSS network inventory management (NIM) system.
Using its ground breaking semantic search capability, Ontology has collected the often conflicting and inaccurate disparate network data from a vast number of complex spreadsheets and other information sources by inferring, matching, merging and aligning the data to provide a highly accurate consolidated interim database. This staging database enables the migration of the unified data into the Amdocs OSS NIM system.
“One of the main benefits of using Ontology’s solution is the flexibility to deal with the on-going changes in the source data,” said Pavel Stamenov, Head of Access Network Configuration Department at T-Mobile CZ. “The solution allows our users to work with the transmission planning spread sheets uninterrupted, with zero or minimum downtime prior its final migration to the network inventory system.”
The solution also allows parallel running of the transmission planning spread sheets and Amdocs OSS system.
Ontology Systems’ CEO and founder, Benedict Enweani, concluded: “We are delighted that T-Mobile chose Ontology for this strategic project. Migration of transmission network data represents a significant challenge for mobile operators. Ontology’s semantic search capability is perfectly suited to lowering the risks, cost and time normally associated with complex data migrations”
On-going, Ontology will regularly provide data quality views and reports to identify inconsistencies in data between the spread sheets to facilitate data cleansing and the quality of the spread sheets as the migration progresses.