Turn massive arrays of telecom data generated by your network infrastructure into actionable intelligence. Predict and prevent churn, create top-notch customer experiences, and offer the best-in-class service quality by dynamically streamlining your network throughput during peak loads. Harness the power of big data analytics in telecom to reliably secure your place in the future of the industry.
Today, the use of big data analytics in the telecom industry is a commonplace practice that is being adopted by all major telecommunications companies around the world. Intellias will help you gain full control over your diverse data environment and effectively orchestrate multiple data pipelines for the benefit of your business.
Achieve dramatic improvements in customer service quality and laser-sharp sales targeting through the use of such advanced telco analytics techniques as clickstream analysis, sentiment analysis, and detailed customer profiling. Boost the efficiency of customer retention activities and nip nascent churn trends in the bud by preemptively presenting deeply personalized and optimized service offers to individuals and entire subscriber cohorts.
Harness the vast potential of big data technologies for timely and accurate identification of local or network-wide bottlenecks, telecommunications network analysis and optimization, capacity adjustment based on AI-driven demand forecasts, and proactive customer care. Use inevident data insights derived automatically and with the help of your data scientists to further improve your customer applications and the entire telecommunication ecosystem.
Hire our versatile team of data scientists, DevOps engineers, and developers to turn their experience in the telecom domain and technical prowess into effective solutions ensuring the highest levels of security for your network and your customers’ data. Implement modern traffic analysis tools, perform real-time CRD analysis, and prevent intrusions and fraud attempts at multiple levels — all while remaining compliant with major security and personal data protection standards.
The advantages of using big data and data science in the telecommunications industry are multi-fold, spanning better marketing, sales, security, CX, and operational efficiency. The most notable trend is the growing reliance on verified data and data-based projections in making decisions from the lowest level (e.g. for preventive maintenance or automatic network load optimization) to the level where decisions have a profound effect on the entire business.
Absolutely. Data analytics for telecom can be effectively outsourced, especially if we are talking about non real-time data processing. Professional players in the big data market can work with any telecom remotely or by using a hybrid model involving relatively short on-site consultations and fully remote DevOps and development jobs. Intellias has successfully delivered end-to-end analytics platforms to large international telecoms with tens of millions of subscribers.
The process starts with an in-depth analysis of the client’s business needs and the expected outcomes. Our team of business analysts, data scientists, and cloud DevOps engineers hold workshops and multiple Q&A sessions with the client’s representatives to define the optimal process framework and technical approach to solving the matter at hand. Once done, the parties discuss and agree on the implementation timeline while paying utmost attention to the uninterrupted operation of the client’s network and data processing infrastructure. Throughout the implementation phase, our specialists remain a phone call away with the client’s team and plan each major feature/product release well in advance. Once delivered, our big data solutions for telecom can be supported and maintained by the Intellias team under a separate agreement.