Data analytics and ML for communication service providers
Leading communication providers are using Databricks to innovate faster
Why Databricks for CSPs
Real time + batch
Make better decisions with real-time data. Buffering, pixelation and latency can lead to lower levels of customer satisfaction and, in turn, churn. Quickly identify and remediate issues affecting your subscriber base in near real time. Drive media consumption by subscribers to increase monetization.
Data team collaboration
Enable data teams to collaborate. Data silos and non-shareable data ools make it difficult for data scientists, engineers and analysts to work together, resulting in slower speed to market for innovation. Databricks’ collaborative workspace for data and AI means continuous, fast innovation.
Scale up or down
Scale based on network demand. Resize your computing resources on-demand and in the cloud, to match the data processing needs of your network. Save costs by no longer needing to overprovision based on spike projections and mitigate the need for capital investment in on-prem hardware.
From driving subscriber acquisition and predicting churn to making smarter production and content acquisition decisions, Databricks helps media companies understand their audience and content better than ever.
Create a personalized, frictionless journey for prospects and drive ARPU.
Subscriber churn prediction
Customer lifetime value
Next best action/offer
Understand network usage, track anomalies and automate network optimization to deliver reliable service.
Network operations monitoring
QoS speed and reset analysis
Capacity and predictive usage
Trouble ticket resolution
IoT and M2M
Leverage big data to optimize project schedules and asset deployment to maximize cost.
Equipment fault detection
Real-time resource management
Engineering deployment prediction
Security and compliance
Optimize threat and risk management.
Brute force attacks