Data integration and preparation
Move and consolidate data from many sources, then transform, check and prepare it for analytics.
Bring your data to life.
We consolidate data from many sources, prepare it for analysis and turn it into dashboards, forecasts and AI that people can act on.
Problems we address
Data in silos
Information lives in separate systems, in different formats, with no single view.
Reports built by hand
Analysts spend their time collecting and cleaning, not analysing.
Insight that arrives too late
Time-critical decisions cannot wait for overnight reports.
AI without a data foundation
Models are only as good as the data behind them, and Gartner has cited poor data quality among the main reasons AI projects are abandoned.
Capabilities
Data lakes and warehouses
A governed store of analytics-ready data for reporting, analysis and machine learning.
Business intelligence and visualisation
Reporting, dashboards and data visualisation that people use daily.
Real-time analytics
Ingest streaming data and support time-critical decisions.
Machine learning
Build, train and deploy predictive models, from prototype to production.
Data governance
Ownership, quality, access and lineage, so people trust the numbers.
Typical use cases
- Energy data pipelines combining market, meter, inverter and weather feeds
- Operational dashboards across sites and assets
- Demand, generation and failure forecasting
- Customer and financial analytics
How we deliver
Understand the questions
Start from the decisions the business needs to make.
Map the sources
Identify the data, its quality and who owns it.
Build the pipeline
Automate ingestion, cleansing, alignment and aggregation.
Deliver the first insights
Release dashboards or models early and refine them with users.
Operate and extend
Monitor data quality and add sources and use cases over time.
Technical foundations on AWS
Built on AWS data and machine learning services.
- Amazon S3
- AWS Glue
- AWS Lake Formation
- Amazon Athena
- Amazon Redshift
- Amazon Kinesis Data Streams
- Amazon SageMaker AI
- Amazon Bedrock
Security, governance and operations
Access control
Fine-grained permissions on datasets and columns.
Data quality
Automated checks catch problems before they reach reports.
Lineage and ownership
Know where data came from and who is responsible for it.
Privacy
Personal and sensitive data is protected and handled by policy.
Where we apply it
- ManufacturingPredictive maintenance, connected operations and digital twins on AWS that help manufacturers reduce downtime and improve efficiency.
- Retail & E-commerceE-shops and websites that launch fast, scale for peaks, stay secure and convert, with analytics and AI to understand customers.
- Energy & Critical InfrastructureData, forecasting and AI for energy operators, from live market and meter data to asset performance and storage optimisation.
Related services
- Generative AI & RAGGenerative AI applications grounded in your own knowledge with retrieval-augmented generation, evaluated, guarded and operated on AWS.
- AI Strategy & DiscoveryFind the AI opportunities bringing maximum business value, check your data and systems are ready, and agree a roadmap from first use case to production.
- Security & ResilienceCloud security, backup and disaster recovery on AWS, designed to your recovery objectives and audit needs.
Related insights
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