# Discovery Phase The goal was to develop a comprehensive end-to-end data analytics solution tailored for the telecom industry. The solution is designed to seamlessly integrate data from a wide range of telecom sources, including CRM systems, Contract and Subscribers, Service Request, MNP, and Product Data. #### Business Requirement To empower telecom operators to leverage their data effectively, driving informed decisions, reducing churn, optimizing network performance, and enhancing customer experience. #### Functional Requirements Advanced analytics features powered by AI and machine learning, such as: Churn Prediction & Prevention * Subscriber Lifetime Value (SLV) Analysis * Personalized Offer & Bundle Recommendation Engines * Anomaly Detection (fraud, unusual usage, revenue leakage) * Network Performance & Quality of Service (QoS) Analytics * Sentiment Analysis from customer interactions #### Technical Requirements **Ingestion of data from various sources, including:** * Customer Relationship Management (CRM) Systems * Billing & Revenue Management Systems * Recharge & Payment Systems * Subscription & Product Catalog * Order & Service Request Management * Call Detail Records (CDRs) – voice, SMS, data, roaming * Network Event & Usage Records * OSS Systems (network element data, alarms, faults) * Mobile Applications & Self-Care Portals * Campaign & Loyalty Management Systems * Social Media & Survey Feedback * Partner & Distributor Systems --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.bdb.ai/bdb-user-documentation/implementation-playbook/bdb-implementation-playbook/use-cases/telecom-use-case/discovery-phase.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.