Partners · AWS · Data & Analytics

Data & Analytics

Modernize data platforms, connect fragmented sources and make governed information available for analytics, Machine Learning and operational decisions.

Assess your data foundation

Operating problem

Build a data foundation people and AI systems can trust.

Data distributed across applications, databases, documents and operational systems is difficult to trust, govern and use consistently. A cloud destination alone does not solve that problem.

Upvantix approach

Work backwards from the information outcome.

Upvantix starts with the decisions, reports, workflows and AI use cases the data must support, then designs the AWS ingestion, storage, transformation, governance and consumption layers.

Data and analytics on AWS

Data strategy and readiness assessment
Data platform, lake and lakehouse architecture
Batch, event-driven and streaming pipelines
Data warehouse and database modernization
Data quality, cataloguing and governance controls
Operational analytics and business intelligence
DataOps, observability and pipeline reliability
Data foundations for Machine Learning and Generative AI

Expected outcomes

Make the result clear before the work begins.

A target AWS data architecture connected to priority use cases
More reliable, observable and governed data pipelines
Trusted datasets for reporting, analytics and AI
A sequenced delivery roadmap balancing value, cost and complexity

Typical engagements

Start at the point that matches your environment.

Data readiness assessment

Review priority sources, quality, access, ownership, governance and target use cases.

AWS data platform design

Define the target ingestion, storage, processing, security and consumption architecture.

Pipeline and platform implementation

Build and validate approved data products, integrations and controls.

Analytics enablement

Deliver governed reporting, operational analytics or self-service consumption patterns.

Related capabilities

Continue through the capability that matches the next decision.

Data & Analytics solution

Start with business outcomes, use cases and the data operating problem.

AI/ML & Agentic AI

Use the data foundation in governed production AI systems.

Migration & Modernization

Coordinate data change with application and platform modernization.

AWS technology context

Use the AWS services that fit the data architecture.

Amazon S3, AWS Glue, Amazon Redshift, Amazon Aurora, Amazon RDS, Amazon DynamoDB, Amazon Kinesis, Amazon Athena, Amazon OpenSearch Service and Amazon QuickSight may be used where appropriate.

Plan the next step

Connect your data strategy to the decisions it needs to improve.

Bring the workflow, architecture and operating requirements into one focused conversation.

Assess your data foundation Explore solutions