The client’s data operations were fragmented, relying on manual processes and siloed systems to manage marketing, product, and operational data. This led to delays in generating insights, inconsistent reporting, and limited ability to scale analytics across teams.

With growing data volumes and increasing demand for real-time insights, the organization needed a robust, intelligent solution that could unify data sources, automate workflows, and empower business users with timely, actionable information.

Key challenges included:

To streamline and scale the client’s data capabilities, HCLTech implemented a comprehensive solution leveraging Azure and Databricks. This platform was designed to automate data ingestion, improve data quality, and deliver real-time insights through advanced reporting and predictive analytics.

At the core of the implementation was a cloud-native data lakehouse architecture, supported by automated pipelines and modern reporting tools.

Key features of the solution included:

The solution transformed the client’s data operations by accelerating insight generation, improving reporting consistency, and enabling data-driven decision-making across the enterprise.

By combining cloud-native engineering with advanced analytics, HCLTech helped the client overcome data silos and manual bottlenecks, thereby setting a new standard for agility, accuracy, and insight-driven growth.