BigQuery is a completely serverless and cost-effective enterprise data warehouse with built-in ML and BI capabilities. It works across clouds and scales with your data.
Learn MoreThe Document AI solutions suite includes pre-trained models for data extraction and a document AI workbench to create custom models.
Learn MoreGoogle Cloud's native API management solution enables the operation of APIs with enhanced scale, security, and automation
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Data Modernization using Google Cloud Data Analytics for a Leading Investment Bank
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EDW Transformation for an Irish American Automotive Technology Supplier
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Built Serverless Data pipelines for an American Golf Cart Company
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Built Next Gen Data Pipelines for US-Based Media & Entertainment Group
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Data Warehouse Migration to the Cloud for a Danish Retail Company
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Migration & Modernization of Data Platforms for a US-Based Technology Conglomerate
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Migration & Modernization of Data Platforms for a US-Based Technology Conglomerate
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Cloud Data Platform Enabling Real-Time Data Ingestion for a European Cosmetic Company
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Data Migration & Integration for a Leading Music Company
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On-Premise Data Migration for a US-Based Global CPG Company
Read MoreData Modernization using Google Cloud Data Analytics for a Leading Investment Bank
Read MoreEDW Transformation for an Irish American Automotive Technology Supplier
Read MoreBuilt Serverless Data pipelines for an American Golf Cart Company
Read MoreBuilt Next Gen Data Pipelines for US-Based Media & Entertainment Group
Read MoreData Warehouse Migration to the Cloud for a Danish Retail Company
Read MoreMigration & Modernization of Data Platforms for a US-Based Technology Conglomerate
Read MoreMigration & Modernization of Data Platforms for a US-Based Technology Conglomerate
Read MoreCloud Data Platform Enabling Real-Time Data Ingestion for a European Cosmetic Company
Read MoreData Migration & Integration for a Leading Music Company
Read MoreOn-Premise Data Migration for a US-Based Global CPG Company
Read MoreData Modernization using Google Cloud Data Analytics for a Leading Investment Bank
Read MoreEDW Transformation for an Irish American Automotive Technology Supplier
Read MoreBuilt Serverless Data pipelines for an American Golf Cart Company
Read More
SAP Cloud Migration for a Global HVAC Major
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The client is a large CPG manufacturer, a giant in producing oral hygiene products. The client desired to migrate the on-premise web application to Google Cloud due to the increasing operational maintenance cost. LTIMindtree performed a detailed assessment and suggested microservices and Java-based architecture. A completely new user experience was designed and developed with enhanced security. The customer client benefitted by saving USD 45K per year and 100% performance improvement.
The client is India’s leading Bank, doing business in Indian regional as well as foreign languages. This is the first Indian bank partnered to partner with LTIMindtree for Google Cloud modernization. The client's current applications are hosted in on-premise data centers. LTI carried out a detailed assessment of existing infrastructure and proposed scalable and integrable architecture to support all future applications. The work that LTI did helped to achieve RTO and RPO of less than 2 hours for their key applications.
A US-based real estate company, respected for its master planning and environmental stewardship. The client company had over 800 applications. There was no uniform management and monitoring of these applications. LTI performed a detailed infrastructure and applications assessment and proposed a lift and shift migration and phase-wise Google Cloud modernization of potential candidates to Google Cloud. The work that LTIMindtree did help customer the client in identifying bottlenecks and infrastructure cost reduction.
The client is a US-based multinational tech company, which develops, manufactures, and sells networking hardware, software, and products. The client faced a limitation in current architecture and in- house application not connecting to cloud. LTIMindtree carried out detailed assessment of existing infrastructure and replicated their platform automation framework to Google Cloud for scalability and better analysis. The client was benefitted by receiving RTO and RPO of less than an hour for their key datasets.
A multinational bank, one of the largest banking and financial services institutions in the world was planning to migrate an on-premise application to Google Cloud . The project required migration to on-premise Oracle database to PostgreSQL on Google Cloud for 2 countries. LTIMindtree planned the scope of the project to proceed from database migration followed by CICD Pipeline modifications. Manual & Infrastructure Testing followed by Performance and DR testing will be carried out.
The client is an American US-based multinational giant in manufacturing home appliances. The client desired scalability, improved performance of large databases, and better security. LTIMindtree modernized the content management platform of the client by designing enterprise Google Cloud architecture, using micro-segmented security groups to provide tighter security, and implementing scalable VPC. The client’s operations got eased, administrative overhead was reduced, and availability improved. This resulted in a future-ready platform for business growth.
The client is a leader in open banking and is known for its best technology adoption and digitization experience. They desired to migrate their on-premise application to Google Cloud for scalability and to reduce expenses. LTIMindtree modernized its application by using microservice-based architecture and Google Cloud. LTIMindtree migrated the database to google cloud DB-native services. The client was able to achieve rapid scaling, reduce infrastructure cost, and increase uptime and operations eased.
Our client is a US-based multinational technology company that provides a huge suite of internet products and services. The client desired AdTech transformation for its clients. LTIMindtree created a detailed architecture and solution design for the requirements. LTIMindtree developed automated/customized solutions enabling various services through Google Cloud, Google Ad platforms, and integration. It is estimated that the client will save 4687.5 hrs, with a monetary value of USD 62500. Efficiency is expected to increase by 23%.
A US-based distributor of information technology products and services has operations around the world. The client's application lacked multiplatform interoperability and was unable to take advantage of Google Cloud's numerous services and needed modernization. LTI analysed flaws in various areas and proposed application modernization with Google Cloud. LTIMindtree created microservices-based architecture and defined a pipeline to make the system work efficiently and collaborate effectively across different cloud platforms. The client’s application achieved high performance and infrastructure cost got reduced.
The client is a UK-based multinational investment bank and financial services institution with a global presence. As the client was using a mainframe for application data with various types of data analysis, so maintaining data on the mainframe was a challenging and tedious task. As a result, the client faced data storage and analytics challenges for business purposes. LTIMindtree did application modernization with various Google Cloud services like cloud SQL cloud storage, BigQuery, and GKE. This resulted in cost reduction, 100% faster performance, and faster data retrieval.
The client is a Canada-based multinational property and casualty insurance company. They wanted to implement Apigee X as API Management as part of the Digital Transformation initiative. The client was looking for services for setting up Apigee X on Google Cloud and enabling their team on the Apigee platform by providing strategy and consulting on Apigee. LTIMindtree will set up Apigee X and provide consulting on API strategy and DevOps. LTIMindtree will do Apigee hybrid setup, develop Infra Automation scripts, and manage backups, logs, and clusters.
The client is one of the largest companies in France and the world's largest manufacturer of high-quality cosmetics. The client wanted static and dynamic content management and persona-based information. LTIMindtree designed and implemented a web application with persona-based access control, SSO login, and IAP. LTIMindtree deployed a web application on Google App Engine and did integration it with Google services like google storage, BigQuery, and Cloud Build. The client achieved faster onboarding and persona-based access with secured authentication and authorization.
The client is an American US-based distributor of information technology products and services. The requirement was to create a powerful notification engine that works as a central system to integrate all applications and users. LTIMindtree created the target date functional and technical design and implement the required notification engine using Google Cloud. LTIMindtree will also support integrations and testing to ensure end-to-end quality delivery. Customers would be benefitted from expansion in around 30 countries with a centralized managed system.
The client, a leading global media company was looking to handle large data volumes with lower TCO, scalable data ingestion, and enable parallel processing. LTIMindtree helped implement scalable ingestion pipeline architecture on Google Cloud. LTIMindtree 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.
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. LTIMindtree helped to re-engineer the data modeling layer for efficient query performance. LTIMindtree 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.
The client is a US-based multinational technology conglomerate corporation. They were facing technical debt in the existing data and analytics landscape. LTIMindtree modernized data landscape platforms to Google Cloud. LTIMindtree helped to establish a multi-year transformation roadmap along to the cloud. LTIMindtree 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.
The client is a private real estate investment company governed by an independent board of directors. The company was looking for total cost reduction of ownership and maintenance, to modernize the data storage and platform to a more efficient and scalable one. LTIMindtree united the unique capabilities across Cloud storage and serverless Data warehousing. We integrated data from SAP to Google Cloud bucket and snowflake. Improvement in visibility, monitoring, availability, and security of infrastructure was achieved. Also, there was an Infrastructure cost reduction and a 70% reduction in TCO.
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. LTIMindtree 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.
The world’s leading music company, our client was looking for Data Migration & Pipeline creation. LTIMindtree 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.
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.
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. LTIMindtree aligned the team of Google Cloud data specialists to co-design, and develop data pipelines that fit the customer environment and target state architecture. LTIMindtree 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. LTIMindtree did downstream payments testing for archiving, reporting, copying, and status tracking.
Our client, an Irish American automotive technology supplier, was looking for an EDW transformation. LTIMindtree 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. LTIMindtree 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.
The client is a leading manufacturer of electric and gas-powered golf carts and small utility vehicles for personal and commercial use. LTIMindtree 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.
The client is a leading manufacturer of electric and gas-powered golf carts and small utility vehicles for personal and commercial use. LTIMindtree 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.
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