AWS Data & Analytics
Operate My Data Platform
Ongoing AWS data platform management, monitoring and optimisation.
The challenge
Where organisations get stuck
Your data platform is becoming business-critical, but maintaining pipelines, governance and performance consumes internal resources.
- Pipelines fail
- Data quality declines
- Costs increase
- Performance deteriorates
- Analytics becomes unreliable
How Analytics Hive helps
Managed AWS Data & Analytics
What the engagement includes
- Platform monitoring
- Pipeline monitoring
- Data quality support
- Performance optimisation
- Cost optimisation
- Governance
- Platform maintenance
- Continuous improvement
Expected outcome
From data-platform operational burden to reliable managed analytics infrastructure.
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
- 01
Dependable pipelines
- 02
Maintained data quality
- 03
Controlled platform cost
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
Manage My Data Platform
Related services
More data & analytics services
Discover how cloud, AI, and data can revolutionize your business
Tell us about your goals and we will come back to you with a practical next step, whether that is a discovery workshop, an architecture review, or a detailed proposal.
ROI-driven solutions