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Data foundation on the cloud for performance enhancement
Sigmoid’s cloud transformation services accelerate and modernize data foundations by implementing, migrating, and optimizing cloud performance. We offer one-stop solution to implement advanced data warehouse platform, modernize cloud data warehouse, migrate data, and build robust data pipelines. We enable organizations to build robust cloud data pipelines at up to 40% lower costs than on-premise data warehouses. Our cloud data management, data lake and cloud data warehouse services help enterprises to capture, store and analyze large volumes of data with scalable systems delivering a high performance of real-time analytics workloads. This helps businesses increase performance, scalability, and security with high uptime and secure, seamless access to quality data.
A guide to cloud data warehousing
Find out how enterprises can reap multiple benefits from cloud data warehouse, transform to a cloud-first data strategy and drive successful analytics initiatives.Download eBook
Strengthen analytics infrastructure with cloud data warehouse services
Build a cloud data warehouse to enable faster, flexible and self-service BI reporting.
Cloud Data Migration
Migrate all data seamlessly from legacy on-premise systems or one cloud platform to another.
Data Monetization Strategies
Develop robust solutions on cloud data lake to solve diverse use cases enabling data monetization.
Evaluate various cloud and open-source technologies through benchmarking and consulting.
Reckitt's cloud optimization journey with Sigmoid
“Sigmoid has been a vital part of our success story. They are highly skilled and knowledgeable in managing data in multi-cloud environments and with their expertise we have been able to achieve cloud cost visibility at an appropriate level across our cloud infrastructure.”
IT&D Senior Data Engineering Manager, Reckitt
Our framework for cloud data warehouse solution to accelerate your digital journey
Sigmoid’s cloud migration process enables organizations to assess cloud maturity, design robust adoption strategy, migrate from on-premise to cloud as well as optimize costs and resources in the long run.
Customer success stories
End-to-end Google cloud monitoring solution optimizes the infrastructure cost by 54% for a health and nutrition MNC
- 97% improvement in data query performance
- 54% reduction in cloud costs
- Enabled daily reporting to enhance visibility and flag anomalies
$2.5 MN annual cost savings with low maintenance and better fault tolerance for the world’s largest advertising exchange
- 150 BN rows of data ingested daily from 120+ feeds
- 15x faster data processing and 2.4x improved data accuracy
- 65% cost savings
2x faster web analytics with automated data ingestion to Snowflake and reporting on DOMO for a Fortune 500 personal care company
- 45% reduction in reports generation time
- 80% reduction in analysis time
- Real-time campaign reporting, optimization and analysis
Our other offerings in data engineering
Build robust automated pipelines to streamline huge volumes of data and optimize query performance to generate faster insights.
Strengthen ML model lifecycle management and accelerate the time to business value for AI projects with robust ML engineering services.
Managed services to help automate end-to-end enterprise data infrastructures for agility, high availability, better monitoring, and support.