Revolutionizing Workflow Orchestration
With Maestro, you unlock
Reduced manual effort
Automates processes to minimize human effort, enhancing efficiency and reducing errors.
Aligned teams & tools
Support for almost all known data-sources ,storage, AIML models
Adaptive to business needs
Microservices for all data consumption and update function
Streamline Performance Monitoring with Cutting-Edge Visualization Dashboards
With 1600+ connectors and operators, Maestro offers
everything the enterprises need to orchestrate
Build, validate & deploy workflows 10X faster with
Maestro’s no-code UI
•Build
•Auto Generate code & validation DAG
•Deploy & Run DAG
•Monitor
Maestro works with all major Security, Access &
Governance platforms
Maestro works on all Cloud , On-Premise & Hybrid Infrastructure.
One deployment strategy supports ALL cloud/hybrid combinations
Cloud
Hybrid
On-Premise
Cloud Source Systems
NuoData Installed on customer’s VPC AWS, GCP, Azure
Cloud Destination Systems
NuoData seamlessly operates across Cloud, Hybrid, and On-Premises environments, supporting any compute and storage.
Industry leaders are choosing NuoData - MaestroAchieve breakthroughs, innovate faster, and cut costs. See how you can too.
Enhancing Data Discovery and Governance for a Big Credit Card Company
Outcomes:
- Reduced time spent searching for relevant data by 70%.
- Enhanced data context and understanding across the organization.
- Increased collaboration between technical and non-technical users.
- Streamlined data operations with a single source of truth for all data assets.
Implementing Efficient and Collaborative Data Quality Management for a Retail Giant
Outcomes:
- Reduced time to create and run data validations by 80% (from hours to minutes)
- Democratized data quality management, involving both technical and business users
- Improved debugging and resolution of data quality issues through centralized metadata and lineage information.
- Decreased number of data quality incidents by 40% within six months
- Cost savings by eliminating the need for separate data quality tools
Modernizing Financial Reporting for a Multi-National Corporation
Outcomes:
- Reduced monthly financial close process from 10 days to 3 days
- Improved data quality, with a 95% reduction in data discrepancies
- Automated 80% of data transformation tasks, reducing manual effort by 60%
- Achieved compliance with regulatory reporting deadlines, avoiding potential fines
- Enabled self-service analytics for finance teams, reducing IT dependency by 70%
Trusted by Partners and Customers
Trusted by
Partners and Customers
