Our enterprise telecommunications company seeks to enhance customer experience by developing a robust real-time analytics platform. The project involves designing and implementing a scalable data architecture that leverages modern data engineering trends such as data mesh and event streaming. The goal is to enable real-time insights into customer interactions, network performance, and service usage, allowing for proactive customer support and personalized service offerings.
Telecommunications customers seeking reliable service and personalized offerings
The current static analytics approach limits our ability to deliver personalized and timely customer service, resulting in increased customer churn and reduced satisfaction.
Our customers are increasingly demanding real-time service adjustments and personalized offerings, creating a competitive pressure that drives willingness to invest in robust data solutions.
Failure to address this need may result in lost market share, decreased customer loyalty, and an inability to capitalize on new revenue opportunities.
Current solutions offer batch data processing and limited service personalization, with competitors gradually adopting similar real-time strategies.
Our platform will uniquely leverage data mesh principles to distribute ownership over data domains, enhancing agility and enabling faster insights and actions.
The go-to-market strategy involves leveraging existing customer touchpoints and channels to demonstrate enhanced service capabilities, driving adoption and retention through superior service offerings.