AWS Data & Analytics

Build My Data Foundation

Governed AWS data foundations that make organisational data accessible, reliable and ready for analytics and AI.

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The challenge

Where organisations get stuck

Your organisation has data, but it is fragmented across systems and difficult to manage.

Inconsistent information
Slow reporting
Data silos
Poor data quality
Limited AI readiness

Data pipelines and analytics dashboards representing an AWS data platform

How Analytics Hive helps

AWS Data Strategy & Readiness

Analytics Hive builds governed AWS data foundations that make organisational data accessible, reliable and ready for analytics and AI.

What the engagement includes

Data assessment
Data architecture
Data governance
Data ownership
Data quality strategy
AWS data roadmap
AI/data readiness

Expected outcome

From fragmented data to a structured foundation for analytics and AI.

What we deliver

Tangible outputs, not slideware

Typical artefacts from a data & analytics engagement, tailored to the scope we agree with you.

Data strategy, maturity assessment and roadmap
AWS lakehouse and data warehouse architecture
Automated ingestion and transformation pipelines
Data quality, cataloguing and lineage controls
Executive and operational dashboards
Predictive analytics models tied to business decisions
Data governance and ownership model

Our approach

How the work runs

01
Assess
Understand your business objectives, current environment, risks and opportunities.
02
Architect
Design the right AWS target architecture and transformation roadmap.
03
Build
Implement the cloud, data, AI and security capabilities required.
04
Secure
Embed security, governance, resilience and compliance into the environment.

Business outcomes

What the business gains

Technical work only matters when it changes how the organisation performs.

01
Consistent information
02
Clear data ownership
03
Readiness for AI initiatives

AWS context

Built on AWS-native capability

Data & Analytics work at Analytics Hive is delivered on AWS and aligned to the AWS Well-Architected Framework.

Amazon S3 data lake with AWS Lake Formation
Amazon Redshift and Amazon Athena
AWS Glue, DMS and Amazon Kinesis
Amazon QuickSight for business intelligence
Amazon EMR for large-scale processing
AWS Glue Data Catalog and Data Quality
Amazon SageMaker for predictive analytics

Built around enterprise priorities

Security-first
Protect workloads, identities and data with controls designed in from the start.
Scalable
Architect AWS environments that grow with demand instead of constraining it.
Resilient
Design for availability, continuity and tested recovery, not best-effort uptime.
Cost-conscious
Optimise infrastructure spend without compromising performance or resilience.

Next step