Consolidate data sources from billing, customer service, network performance, and other telecom systems into a unified platform for end-to-end visibility, real-time analytics, and data-driven decision-making.
Streamline telecom operational processes such as billing, provisioning, and customer support through automation, reducing manual efforts and errors. Utilize machine learning and analytics solutions to optimize service workflows and enhance operational productivity.
Leverage telecom analytics solutions to gain deeper insights into customer needs, enabling tailored offerings and targeted marketing campaigns. Utilize data visualization for telecom to make informed decisions and power targeted marketing campaigns through extracting valuable insights.
Enhance customer experience in telecom with Infoveave's real-time analytics. Gather insights, address issues proactively, and improve service quality to foster loyalty and drive long-term success in a competitive telecommunication industry.
Leverage Infoveave for customer segmentation in telecom using GenAI-powered analytics. By analyzing demographics and usage behavior, providers can deliver personalized services, dynamic pricing, and promotions to enhance customer satisfaction and loyalty.
Utilize Infoveave for price optimization in telecom. By leveraging machine learning and real-time data, and analytics in telecom industry, implement pricing strategies that boost profitability while maintaining service value.
Streamline invoice generation and validation with AI-driven analytics solutions tailored for the telecommunication industry. Improve accuracy, reduce billing errors, and enhance the overall billing experience with transparent processes.
Use data analytics in telecom to understand key financial metrics such as profit margins and ROI. Make informed investment decisions and allocate resources efficiently amid fluctuating telecom markets.
Telecom companies face complex billing reconciliation issues like overcharges and missed entries. Infoveave helps identify discrepancies using data-driven insights, improving revenue assurance and building customer trust through accurate billing.
Integrate all your data sources, map them to your KPIs, analyze your data and visualize insights.
This indicates the percentage of time a network remains operational and accessible to users over a specific period, typically measured in hours, days, or months.
Network Availability = (Time available / Operational time) x 100
Drop call rate refers to the percentage of mobile phone calls that are unintentionally terminated by the network before either party has ended the call.
Drop Call Rate = (Dropped calls / Number of calls) x 100
Bandwidth utilization refers to the percentage of available network bandwidth that is currently being used to carry data traffic.
Bandwidth Utilization = (Used bandwidth / Bandwidth) x 100
Network coverage refers to the geographic area where a telecom network provides reliable service to its users.
Network Coverage = Geographic area covered / Geographic area
Customer churn rate is the percentage of customers who stop using a company’s products or services within a specific period.
Customer Churn Rate = (Number of customer lost / Number of customers at the start) x 100
The packet loss rate is a metric that measures the percentage of data packets lost or discarded during transmission over a network.
Packet Loss Rate = (Number of lost packets / Number of Packets sent) x 100