Telecommunications

Deliver on the promise of a perfect customer experience in the age of digital transformation

It's hard to differentiate yourself and be ahead of the competitors. Telcos must aggregate every piece of data to proactively predict problems, understand trends and be customer centric. Leveraging advanced analytics on data on the move and at rest will power your insight-driven initiatives.

You can create the perfect customer experience while simplifying your big data and analytics infrastructure. Smartly route your customers to the correct agent, leveraging real-time advanced analytics.

Optimize customer engagements based on their transactions, online and in-store activities and other business insights to predict and prevent churn and generate sales opportunities.

You can now take full advantage of the huge amounts of IoT data with an in-memory insight platform, unifying fast-data analytics, artificial intelligence and real-time applications to diminish complexity and scale to the real-time needs of your business.

Intelligent millisecond call-session routing
 
CDR Analytics for Fraud and Rating Scale-up
 
IoT data ingestion, aggregation and tranformation
 
Enhance customer experience (Customer-360)
 
Intelligent millisecond call-session routing
Gone are the days of re-stating your need over and over, and going in circles from one agent to the next. Now you can route calls to the correct agent via deep learning and predictive analytics, reducing customers' average waiting time and providing a seamless experience.
The unification of data science and real-time applications in a single platform lets you run advanced analytics on the massive amounts of data to effectively train your deep learning analytics to automatically route calls to the best suited agent.
CDR Analytics for Fraud and Rating Scale-up
You can identify key performance metrics through streaming analytics and machine learning, and be able to search and filter data found in every call detail or call management record.
Being able to analyze records in real time, you can detect call fraud which could be passed through to customer bills and have a detrimental impact on customer experience. Even in most cases where fraud is detected, it tends to be too late, resulting in direct revenue loss and additional OPEX expenditure to correct. Streaming analytics enables the immediate, real-time detection of suspect call activity based on data streams such as switch logins, IP spoofing events, unusual call destinations and unusual call usage patterns.
Scaling up your rating process will optimize your business process. Most rating engines the feed the billing process still operate in batch mode due to scalability, data integration and rapidly changing business requirements. Streaming CDR processing and analytics can deliver real-time rating at scale, while persisting aggregated rating information continuously through to the core billing platforms.
IoT data ingestion, aggregation and tranformation
IoT provides Telcos with a huge amount of data that when used correctly, can help improve prediction and proactive actions to improve every aspect of the business ranging from service to marketing and sales. The ability to harness data for information and insight is an opportunity for business growth and success. The information will give you the chance to identify new revenue streams, make improvements to existing ones and adjust products and services in line with customer demand.
As the data streams grow, you will require solutions for fast and smart Ingestion, aggregation and data transformation as you run advanced analytics for business insight.
A unified data science and application platform which can scale to your needs and run advanced analytics on both data on the move and at rest, can help you uncover the needed insights from the right data at the right time.

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Telecommunications