Save money using Crowdsourced Data
Historically, Mobile Operators have been spending a lot of time and money on traditional drive testing to monitor and optimize the quality of their mobile networks.
Today, BI Nordic, with 20+ years of experience in the telecom industry, key competence within data analytics and with a close cooperation with the Canadian Crowdsourced Mobile Data provider, Tutela Technologies Ltd, is presenting a new way of thinking and a new way of working within this area.
Compared to other Crowdsourced Data providers on the market today, Tutela is unique when it comes to the amount of anonymous data that is daily being collected worldwide. To be able to give as accurate and statistically confident result as possible, the high volume of data is of key importance, and with the 1+ billion measurements collected daily, Tutela has proven to be a good partner to BI Nordic.
The Crowdsourced Data is being refined and cleaned in the BI Nordic solution. At this stage, more than 90% of the crowdsourced data is being excluded by not fulfilling the predefined criteria’s. The remaining, high-valuable data is then being carefully analyzed using novel Machine Learning techniques. The outcome will be a list of network issues as well as proposed solutions to those issues.
Time- and Cost-saving
If using Crowdsourced data, the operators would be able to notably cut down on the cost for their currently expensive investments of drive testing- as well as OSS-tools. The costs for well-educated drive testing teams collecting data in the dedicated drive testing vehicles could also be reduced.
High correlation to end user behavior
Crowdsourced data is collected when/where/how the user is using the network. This means that the collected data can reveal when during the day the users are mostly active on the network, what places/locations the users are visiting, what technologies and back-bone vendors are used.
Makes is possible to identify network issues such as coverage holes, interference, overshooting- or backloob- issues.
When commissioning new cells or technologies, verify coverage or parameter settings, expanding network (hot spot clusters, load density etc.), identifying busy hours etc.
Benchmarking and trend analysis of already deployed networks, features and/or operators. Cell density per operation or region etc.
If this is a topic you would like to discuss further, we would very much like to talk to you! Do not hesitate to contact us at email@example.com