Consumer intelligence
A reproducible data platform for global trend intelligence
After a discovery phase, we designed and built WGSN's new data platform on AWS and Snowflake and proved it end to end with a social-media trend product.
WGSN
Case studies
A national-security data platform, built in six weeks
We built a platform to ingest, model and search petabytes of investigation data, cutting lead times from weeks to hours.
- to build the platform
- 6 weeks
- to go live
- 6 months
- to get data ready for investigation, down from weeks
- 2–12 hrs
The client
A UK government agency working on national security needed a data platform for its investigators. For security reasons we don’t publish the client’s name or the architecture.
The challenge
Getting data onto an investigator’s machine and ready for analysis took several weeks. The agency needed a platform that could ingest, model and visualise petabytes of data, keep running costs down, stay easy to maintain and give officers a simple interface.
What we did
- Built an event-driven data pipeline on AWS ECS, SQS and S3, keeping running costs low.
- Used Amazon OpenSearch to store, query and visualise processed data.
- Added Amazon SageMaker for machine learning modelling.
- Wrapped the platform in a bespoke Python front end with Okta single sign-on, so officers could work with it safely.
- Automated and standardised the process end to end.
The result
The platform was built in six weeks and live within six months. Investigation lead times fell from weeks to between two and twelve hours, depending on the size of the data, while data quality, audit and provenance all improved.
More case studies
All case studies-
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DLT Ledgers and R3
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A multi-tenant data ingestion and streaming framework on AWS
We rebuilt NewDay's infrastructure code as reusable modules and delivered an event-driven service that loads data into Snowflake.
NewDay
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