KPI Partners
& AWS Partnership
KPI Partners is an AWS Select Tier partner helping enterprises modernize data and analytics platforms on AWS. We accelerate cloud adoption through proven migration frameworks, cloud analytics accelerators, and prebuilt solutions that integrate enterprise systems and enable scalable analytics environments.
We collaborate with enterprise technology and data leaders to modernize legacy platforms, migrate enterprise workloads, and build cloud data platforms that support analytics, AI, and machine learning initiatives. Across industries including healthcare, retail, energy and utilities, financial services, high tech, manufacturing, and higher education, KPI Partners helps organizations unlock the full value of their data on AWS.
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Why KPI Partners + AWS?

AWS Certified Expertise
AWS certified consultants delivering modern analytics platforms
Proven AWS Delivery
50+ AWS customers and extensive cloud analytics experience
Reference Architectures
Prebuilt AWS data architectures and Tableau utilities
Cloud Analytics Accelerators
KPI Partners Cloud Analytics integrates enterprise systems with AWS
Managed Data Services
Ongoing support for AWS data lakes, warehouses, and engineering
Our Offerings
for AWS Customers
Data Engineering
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Build scalable, modern data platforms on AWS to support analytics and AI
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Design cloud-native architectures using Amazon S3, AWS Lake Formation, and Amazon Redshift for secure data foundations
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Develop automated ingestion and transformation pipelines with AWS Glue, Amazon Kinesis, and Apache Airflow
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Enable real-time and batch processing using Amazon EMR and AWS Lambda
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Implement DataOps frameworks with monitoring and orchestration using Amazon CloudWatch and AWS Step Functions
Platform Migration & Modernization
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Accelerate legacy modernization by transforming data platforms, ETL pipelines, BI, and analytics into cloud-native AWS architectures
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KPI Partners enables enterprises to migrate from legacy data and BI systems to modern AWS platforms using automated assessment, transformation, validation, and operationalization frameworks
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Download the process flow diagram
Enterprise AI
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Unlock enterprise data value with scalable AI and GenAI solutions on AWS
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Assess AI readiness and define adoption roadmaps using Amazon SageMaker and Amazon Bedrock
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Build AI agents, copilots, and domain-specific applications using enterprise data and Bedrock foundation models
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Implement GenAI frameworks and LLMOps pipelines with SageMaker for model development and deployment
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Operationalize ML with scalable MLOps, monitoring, and automation using AWS AI and DevOps services
Our Accelerators
KPI Partners accelerators reduce deployment time, automate governance, and drive measurable ROI
KPI Partners Enterprise Data Products Accelerator
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Prebuilt connectors and ELT pipelines to integrate enterprise applications such as Oracle EBS, Salesforce, and other operational systems into AWS data platforms
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Reusable data models and analytics solutions across domains including finance, supply chain, HCM, sales, marketing, and operations
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Built on scalable AWS analytics architecture leveraging services such as Amazon Redshift and AWS Glue
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Enables faster deployment of governed, analytics-ready datasets and domain-driven insights for business users
Data Platform Accelerator
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Prebuilt frameworks for rapidly establishing modern data warehouse and analytics environments on AWS
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Scalable data ingestion and transformation frameworks designed to integrate with services like AWS Glue and cloud-native pipelines
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Prebuilt data warehouse frameworks, operational data stores, and data marts and data marts optimized for AWS analytics services such as Amazon Redshift
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Reporting tables and ETL frameworks designed for enterprise analytics
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Accelerated deployment of secure, scalable data platforms leveraging AWS-native architecture patterns
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Download the process flow diagram
BI Modernization Accelerator
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Prebuilt analytics frameworks that accelerate enterprise reporting and visualization
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Prebuilt analytics solutions supporting tools such as Amazon QuickSight, Tableau, Power BI, and Oracle BI
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Accelerates delivery of enterprise reporting and dashboard solutions
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Rapid development of scalable dashboards and reporting layers aligned with enterprise data platforms on AWS
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Download the process flow diagram
Our Approach to Enterprise AI on AWS
Generative AI
Artificial Intelligence and Machine Learning initiatives on AWS enable intelligent, data-driven solutions supported by enterprise data platforms for advanced analytics, while scalable analytics environments built on AWS services ensure flexibility, performance, and efficient handling of growing data needs .
Agentic AI
Agentic AI enables autonomous and intelligent decision-making systems, while event-driven data processing using AWS Lambda supports responsive and efficient execution of workflows. Real-time data streaming with Amazon Kinesis allows continuous data ingestion and analysis, and cloud-based automation using AWS services enhances operational efficiency and scalability.
Data Science & Machine Learning
Data Science and Machine Learning enable data-driven insights and predictive capabilities, with model development supported by Amazon SageMaker for efficient building and deployment. Advanced analytics on AWS data platforms enhance decision-making, while scalable machine learning environments on AWS ensure flexibility, performance, and the ability to handle growing workloads.
Case Studies & Insights
KPI Data Products on Any Cloud
Microsoft Fabric Migration Accelerators
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EDW (Snowflake, Redshift, Oracle/ADWC, Teradata, and Netezza) to Microsoft Fabric Migration Accelerator
Google Accelerators
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Marketing Analytics and AI/ML for GA
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Oracle to BigQuery Migration Utility
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Snowflake to BigQuery Migration Utility
