Google Cloud
Data & Analytics

EDW Transformation for an Irish American Automotive Technology Supplier

Our client, an Irish American automotive technology supplier, was looking for an EDW transformation. LTM recommended a combination of Google Cloud Cloud Data Fusion for data ingestion and BigQuery SQL/Scripts for transformation orchestrated with Cloud composer to replace the current Informatica ETL. LTM also recommended a Wave-based Lift and Improve approach that will include refactoring of Teradata SQLs and implementing a metadata-driven ingestion framework for source integration using Google Cloud Cloud Data Fusion.

Built Serverless Data pipelines for an American Golf Cart Company

The client is a leading manufacturer of electric and gas-powered golf carts and small utility vehicles for personal and commercial use. LTM built Next Gen Data pipelines using Google Cloud serverless and managed services to make data ingestion pipelines scalable for high volume data feeds and to have zero operations with overall lower TCO.

Built Next Gen Data Pipelines for US-Based Media & Entertainment Group

The client, a leading global media company was looking to handle large data volumes with lower TCO, scalable data ingestion, and enable parallel processing. LTM helped implement scalable ingestion pipeline architecture on Google Cloud. LTM built next-generation data pipelines using Google Cloud serverless and managed services. It resulted in an improvement of the performance by 40-45% of workflows for processing data from API source feeds.

Data Warehouse Migration to the Cloud for a Danish Retail Company

Our client, a Danish retail company, was looking for cost-effective solution to host the current data warehouse on Google Cloud Platform, where lesser human resources are required. They also asked for better integration methods of the data from varied resources. LTM helped to re-engineer the data modeling layer for efficient query performance. LTM established patterns and identified the anomalies. They were able to detect a huge amount of POS fraud using pattern analysis. 30% increase in the business performance was achieved and a 40-50% cost reduction related to support and maintenance.

Migration & Modernization of Data Platforms for a US-Based Technology Conglomerate

The client is a US-based multinational technology conglomerate corporation. They were facing technical debt in the existing data and analytics landscape. LTM modernized data landscape platforms to Google Cloud. LTM helped to establish a multi-year transformation roadmap along to the cloud. LTM was able to eliminate redundant technologies and technical debt, also migration of more than 200 applications was achieved. There was around 40% cost reduction with faster time to insight with zero infrastructure management.

Cloud Data Platform Enabling Real-Time Data Ingestion for a European Cosmetic Company

Our client is one of the largest companies in France and the world's largest manufacturer of high-quality cosmetics. The client's requirement was integrated and advanced analytics with an idea to enable unified and self-service analytics across the globe. LTM designed and built a secure Google cloud data platform and take advantage of cloud-native services for near real-time integration of SaaS & API data sets, providing overall lower TCO with scalability and zero-touch operations.

Data Migration & Integration for a Leading Music Company

The world’s leading music company, our client was looking for Data Migration & Pipeline creation. LTM did the integration of various internal and external data sources into the Google Cloud Data Platform for downstream consumption. The cloud-native data services such as DataFlow and BigQuery are used. The orchestration was done using Apache Airflow.

On-Premise Data Migration for a US-Based Global CPG Company

Our client is a US-based multinational corporation founded in 1886 that develops medical devices, pharmaceuticals, and consumer packaged goods. Their data platform was migrated with Migration Pattern: Lift & Shift with no disruption to the business, reduced risk and achieve lower TCO. Migrate CDP on-prem to CDP on Google Cloud as is with lowest possible risk & harvest immediate benefits. Meaningful automation of all kinds of data workloads.

Data Modernization using Google Cloud Data Analytics for a Leading Investment Bank

The client is a multinational bank, one of the largest banking and financial services institutions in the world. The bank was looking for Google Cloud Analytics-led data modernization. LTM aligned the team of Google Cloud data specialists to co-design, and develop data pipelines that fit the customer environment and target state architecture. LTM built a secure and privacy layer on Google Cloud for payment data platform and golden payments information to serve advice, balances, and transaction events to downstream consuming services. LTM did downstream payments testing for archiving, reporting, copying, and status tracking.