Aerospace and defense
IND: +91 73387 73388
USA: +1 512 375 4345
UAE: +971 55 818 7507
Consumer behaviour analytics tool & Master data visualization tool
Python, NodeJs, Angular, Java/Kotlin for Android & Swift for iOS, Greenplum, AWS
52+ Weeks and ongoing
A leading player in the telecom industry with hundreds of thousands of subscribers, our client has changed the modes of communication forever. Providing a wide range of communication services, our client provides quality Voice and Data services for individuals, businesses, and organizations, empowering them to connect with each other.
Our client needed a data analytics system to leverage data from multiple data sources across countries to help the service providers cross-sell and up-sell. They also needed a customized visualization tool that gives a 360-degree view of the data at hand. Using this data, our clients can categorize their subscriber's base, allowing them to identify subscribers with more data plans and pitch the adequate plan to them.
One of the most critical challenges in the industry is customer retainment. Finding long-term subscribers is the primary goal of the client.
Quality insights and data of subscribers are not easy to obtain. Our client has to get more creative and efficient to stay relevant in the market.
Not all subscribers have the same usage pattern. The challenge is to devise models that attract maximum subscribers.
To imagine and access the extracted data under different contexts can be challenging.
Understanding the nature of the data and the context involved to build a responsive visualization tool
Optimizing the data pipeline to identify and leverage first-hand data and insights
Organizing the data according to various categories for easy access and interpretation
Building a responsive front-end structure for easy management and organization
The team is built in such a way that it's inclusive of diverse skills and shares the ability to deconstruct a problem into fragments logically.
Front End Developer
Leveraging first-hand data is hard, but efficient extraction and visualization allow businesses to leverage such key resources.
The first-hand data that is converted to insights allows businesses to tap into advanced consumer behavior, ultimately enabling them to cross-sell and up-sell.
Simplifying the overall process allows the client to bring a higher context into the picture. This helps the business to achieve a greater level of optimization and widen its customer base.
Frequently Asked Questions
By integrating network optimization with big data, telecom operators can improve the quality of their services. For example, using data collected from users in a particular area, companies can find solutions to issues such as improved connectivity.
Big data can help telecom operators improve the quality of their services by integrating network optimisation. For example, companies can record and collect issues raised by users in a specific area and look for solutions to these issues, such as improving connectivity.
It's time we embrace the tech disruption to maximize your ROI!