As mobility becomes increasingly central to both business and personal lives, industries are being turned on their heads. Service Providers networks are the backbone of this innovation with data serving as the bedrock of new products and services. By delivering unique insights that help businesses spot valuable trends and create these new third party data services, Service Providers are evolving into much more dynamic value creators, enabling entirely new revenue opportunities for themselves and shaping business transformation across a range of industries.
Bringing together the best minds in data science with business analysts, Guavus works with customers to deliver actionable insights rapidly. Using the latest machine learning algorithms and technologies, our highly experienced labs team collaborates with your strategists, ecosystem partners and data architects to deliver complex analytics models in weeks not months, identify new business opportunities to extract value from your big data and augment your own analytics team for accelerated roadmap planning.
Guavus Analytics Labs supports an end-to-end journey enablement for maximum value, providing business-oriented analysis from implementation to on-going customer support and transference of knowledge.
CSPs are uniquely positioned to leverage the massive petabytes and disparate sources of network, machine, subscriber and sensor generated data to improve their core services, dynamically optimize their networks, and create better operating efficiencies, all while delivering a higher quality subscriber experience.
Use predictive analytics to quickly detect network problems such as bandwidth issues, traffic congestion, new device introduction & service outages before they impact subscribers
Leverage analytics to more effectively manage IT infrastructure, network capacity resources and enabling technologies, such as SDN & NFV, to deliver a better customer experience
Implement marketing analytics to identify sales prospects for revenue uplift, cross sell & upsell opportunities, create personalized services and deliver targeted advertising campaigns
In a hyper-competitive environment where cord cutting is becoming more prevalent, having a granular, 360 degree view of service delivery and customer experience is critical. With big data analytics, Cable & Media companies can improve the customer experience through proactive customer care, optimized network operations and better targeted marketing campaigns. With better customer insights, MSOs can target subscribers with relevant content packages, proactively identify subscribers who are more likely to churn, and develop more effective network planning strategies. Cable companies can also harness big data to understand customer preferences and negotiate better content licensing deals.
Enhance DOCSIS 3.0/3.1 management with IPDR data to better understand the relationship between network, subscribers, services & overall business objectives; deliver an improved subscriber experience with new services like usage-based billing
Proactively detect customer impacting network issues and deliver a better subscriber experience with anomaly detection & root cause analysis; examine specific metrics that are known to indicate subscriber churn or low NPS score
Identify subscriber segments to upsell & cross sell value-added services like premium packages, home automation, & online storage; conduct audience measurement for targeted advertising & programmatic buying
As sensors and M2M connections become more ubiquitous and prolific in devices, from everything from wearables to connected cars to farming equipment and shipping containers, the Internet of Things has the potential to create unprecedented economic value. The Industrial Internet of Things market opportunity alone is expected to generate more than $300 billion in the next 5 years. *
The Guavus Reflex operational intelligence platform is a common analytics framework that ingests and correlates a wide variety of data, regardless of source or type, across complex data ecosystem. Guavus then enriches that IOT data with analytics to provide a fine-grained view into business operations and processes.
Know where each and everyone of your critical assets are in real-time; end-to-end visibility into asset tracking, transport cost management and operations performance
Perform predictive maintenance on fixed and mobile equipment by applying high-performance machine learning algorithms to detect subtle trends that indicate impending failures.
Optimize drilling procedures by collecting sensor data from drill bits, chassis, and drive systems; identify key attributes of optimal machine operation to reduce wear and tear, maximize asset life, & increase drill performance
Improve miner safety by collecting and analyzing tag data on machines, people, & small assets enabling mine operator’s to ensure site safety, reduce asset loss, and stay in compliance with contracts and regulators
Shape the cities of tomorrow by using advanced algorithms to maximize the effectiveness of smart devices, ensuring they are always connected to the network and providing real-time insights to the city, utility provider, customer, & network provider
Enable data driven farming by correlating and fusing diverse data sources including tractor data, seeds, soil conditions, weather, and location data to create valuable insights to increase crop yields, enhance soil production, & improve profit margins