Analytics Enablers

Customer Sentiment Analysis Platform

T-Mobile, USA · Telecommunications

T-Mobile, USA logo

Telecommunications

T-Mobile, USA

Established a unified customer sentiment platform that integrates social listening, CRM interactions, and network performance signals into a governed lakehouse for enterprise reporting.

Key outcomes

  • Optimized pipeline performance
  • Single trusted KPI source

Scope of work

Lakehouse architecture, pipeline engineering, and executive analytics delivery

Business challenge

Customer feedback was fragmented across high-volume, heterogeneous sources with no common data model. Batch-oriented processing introduced latency, and leadership lacked a validated layer for sentiment KPIs.

Our approach

Designed and implemented scalable Databricks and PySpark pipelines integrating Sprinklr, LinkedIn, CRM, network telemetry, and external APIs into a centralized lakehouse. Delivered curated semantic models, Power BI executive dashboards, and automated pipeline monitoring for ongoing reliability.

Technology stack

SprinklrAzure DatabricksPySparkDatabricks SQLAzure Data LakePower BI

Capabilities delivered

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