AWS Data & Analytics

Turn My Data Into Insight

AWS-powered analytics and business intelligence environments that turn data into decision-ready information.

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The challenge

Where organisations get stuck

Your organisation has data but decision-makers cannot easily turn it into actionable insight.

Manual spreadsheets
Delayed reports
Inconsistent metrics
Limited visibility

Data pipelines and analytics dashboards representing an AWS data platform

How Analytics Hive helps

AWS Business Intelligence & Analytics

Analytics Hive creates AWS-powered analytics and business intelligence environments that turn data into decision-ready information.

What the engagement includes

Executive dashboards
Operational dashboards
KPI reporting
Data visualisation
Self-service analytics
Governed reporting

AWS services we build on

Amazon QuickSight
Redshift
Athena
S3

Expected outcome

From data overload to faster, clearer business decisions.

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 metrics
02
Timely reporting
03
Self-service access for teams

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