Sold by: DataEconomy Inc
DataEconomy helps organizations modernize, govern, and optimize enterprise data platforms on AWS through data engineering, analytics modernization, data governance, observability, and data integration services. Leveraging AWS-native services and modern data architectures, we enable scalable data lakes, governed analytics platforms, metadata-driven data management, real-time operational visibility, and advanced reporting to improve business outcomes, operational efficiency, and data-driven decision making.
Overview
DataEconomy Data & Analytics Modernization on AWS helps organizations build, modernize, govern, and optimize enterprise data platforms to support analytics, reporting, operational visibility, and data-driven decision making. Our services cover data engineering, data integration, data lake modernization, analytics platform modernization, metadata management, data governance, data quality, observability, and operational monitoring. We work with customers to consolidate fragmented data environments, establish scalable data architectures, improve data accessibility, and enable trusted analytics across business and operational workloads.
Leveraging AWS-native services and modern data platform technologies, DataEconomy designs and implements solutions that support data ingestion, transformation, storage, governance, monitoring, and consumption at enterprise scale. Our experience includes modern data lake architectures, metadata-driven processing frameworks, data catalogs, lineage and governance solutions, regulatory reporting platforms, reconciliation frameworks, enterprise data hubs, data observability platforms, and operational analytics environments. These solutions help organizations improve data quality, increase operational transparency, strengthen governance controls, accelerate reporting, and reduce platform complexity.
This offering relates to AWS Data & Analytics services including Amazon S3, Amazon Redshift, Amazon EMR, Amazon EMR Serverless, AWS Glue, AWS Lambda, Amazon RDS, Amazon CloudWatch, Amazon Managed Grafana, AWS Identity and Access Management (IAM), AWS Step Functions, Amazon EventBridge, and other AWS-native services used to build scalable, secure, and governed data platforms. Depending on customer requirements, DataEconomy also supports integration with modern analytics and data ecosystem technologies such as Apache Iceberg, Databricks, Snowflake, Grafana, and related data engineering and observability frameworks.
Highlights
- Modernize and optimize enterprise data platforms on AWS through data engineering, data integration, analytics modernization, and scalable data lake architectures that improve reporting, governance, and business decision-making.
- Implement governed data platforms with metadata management, data cataloging, data lineage, data quality controls, and operational transparency to support trusted analytics and regulatory requirements.
- Enable real-time operational visibility through data observability, monitoring, alerting, and automated incident management across AWS data workloads, helping improve reliability, SLA performance, and operational efficiency.
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Support
Vendor support
Contact us:
info@dataeconomy.ai
https://dataeconomy.ai/contact/
Availability:
Business hours support with escalation for critical issues via email and remote assistance.
Support Scope:
Provides support for implementation guidance, platform configuration, deployment assistance, issue resolution, and operational best practices related to Data & Analytics solutions on AWS. Support includes troubleshooting, monitoring recommendations, governance guidance, and optimization assistance for data engineering, integration, analytics, and observability workloads.