Estel - AI Driven Analytics
Propel Your Telecom Business with AI-Powered Analytics
For prepaid services, our enhancements consume data from a MNOs existing solutions like consume data from our products like e-Top Up, EVD, and voucher systems. The Data analytics platform integrates seamlessly with the Estel prepaid recharge product stack, offering insights into operations, customer behaviour, revenue leakage, and fraud management, areas that have been obscure until now. Simultaneously, the platform enables you to capitalize on emerging opportunities that remained hidden previously due to insufficient data or insights to act upon.
We utilize the transformative power of Artificial Intelligence and Machine Learning (AI/ML) to transition telecom analytics from basic, reactive operations to proactive, strategic, and predictive methodologies. Our platform offers a suite of features that enable you to harness the full potential of your data:
Estel Telecom Data Analytics lays the groundwork for anticipatory actions and strategic foresight. This empowers the telecom operator to consistently offer efficient and uninterrupted connectivity, Launch new services, reduce churn, and optimise operations, ensuring a competitive edge in the dynamic digital arena and deliver superior customer experience.
AI & Machine Learning
Tap into advanced algorithms that unearth hidden insights and opportunities within your data, offering a competitive edge.
Real-time Data Processing
Manage and analyze vast volumes of data instantaneously, ensuring rapid and informed decision-making.
Anomaly Detection
Employ machine learning algorithms to identify and alert on unusual data patterns, safeguarding your operations.
Seamless Integration
Integrate Estel Data Analytics seamlessly into your existing infrastructure, enhancing your systems and processes without disruption.
Benefits
Optimize Business Performance
Streamline operations, reduce costs, and boost revenue through data-driven decisions.
Enhance Customer Experience
Tailor products and support to individual needs, improving subscriber satisfaction.
Use Cases
Estel Data Analytics offers tailored use cases to address the unique needs and opportunities of the telecom industry's Prepaid business segments. where, we optimize e-Top Up, EVD, and voucher management systems. Other immediate use cases are
Personalized Recharge Recommendations
Retailer Dormancy Prediction
Fraud Detection and Prevention
AI-Powered Customer Support
Predictive analytics to reduce subscriber churn: Foresees customer attrition, enabling timely retention strategies for loyalty.
Supply chain optimization using data analysis: Balances inventory levels and streamlines supply chain processes based on demand forecasts.
The strategic application of AI and data analytics in the telecom industry is instrumental in delivering operational excellence, competitive superiority, and heightened customer satisfaction.
World view
The telecom sector is constantly adapting to shifts like evolving customer expectations, smarter devices, a digital-first supply chain, and significant business deals. This changing landscape offers both challenges and massive opportunities for telecom operators. They must innovate and be cautious to stay ahead. In numbers: the market for telecom analytics was $6.19 billion in 2022 and is predicted to grow to about $23.66 billion by 2032. This is a big growth rate of 14.35% from 2023 to 2032. Looking ahead in telecom, we see big things like:
5G networks
Devices connected on the Internet of Things (IoT)
Use of artificial intelligence (AI)
Cloud storage and processing
Strong cybersecurity measures
Telecom Transformation
New billing systems using cloud technology.
So, what's the key to success? Talk to us and find out more
What is telecom analytics?
Telecom analytics utilize cutting-edge business intelligence (BI) solutions & platforms tailored for telecom sector demands. By integrating these analytics, the goal is to sharpen insights into core functions, streamline processes, and understand market shifts. Over the recent years telecom has been the backbone of internet revolution and innovations we see all around. All these have served almost all humanity affecting billions of people. With rising costs of operations and to cater to vast expectations of digital customers for superior online experiences, there's a shift in the telecom sector. Known as “telecom transformation”
Telecom Analytics is the back bone of this new age Telecom Transformation that help companies pivots from traditional services to more dynamic, customer-focused models. Telecom Analytics uses Artificial intelligence & Machine learning to process huge amount of data to bring insights which leads to better Telecom operations, new services, better customer experiences and so on.
