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Winning a public performance benchmark and cost efficiency can go together

Public performance benchmarks are a priority for many Communication Services Providers (CSPs) around the world, and an integral part of their business strategy every year. Preparing for them can be expensive, labor intensive and inefficient due to the need for extensive active testing (e.g. drive and walk tests) and the optimization process that will require improvements.

At Aspire we understand this process and have developed a solution to take it to another level. Our ‘Drive Test & Probe Analytics’ platform automates the collection, parsing, analysis and presentation of drive test and probe logs. We use Machine Learning assisted models to identify issues or abnormal behaviors and to fingerprint the entire network, allowing operators to scale and reduce the need for manual repetitive tasks and for continuous active testing.

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