Your data estate is slowing you down.
Data-heavy enterprises face significant challenges, including:
- Bottlenecks: Overworked central data teams and brittle ETL jobs.
- Data Swamps: Poor data quality and governance leading to security risks and opportunity cost.
- Inertia: Accidental architectures that hinder rapid innovation.
Benefits
Agility & Scale: Data as a Product
Empower domain experts—not central IT—to manage their own data products, removing bottlenecks. A decentralised architecture allows your platform to flex and scale to accommodate new data requirements.
Operational Efficiency: Zero-ETL
Eliminate data silos with Zero-ETL Integration (consume in-place). Gain total visibility through integrated Observability metrics across your entire data estate.
Data Integrity: Provenance & Governance
Improve Model Quality with lineage tracking and expert-led publishing. Ensure robust Security via automated, central access policies that satisfy audit requirements.
AI Ready: Accurate, Accessible & Trusted
A pragmatic data strategy aligned to business goals and backed by the appropriate technology. Ensure the accuracy, consistency, and contextual relevance of data to enable machine learning, inference, and automation use cases.
Data Platform Accelerator
We leverage cloud-native data and AI services and architectures to accelerate your path to a self-service data platform.
- Rapid Pilot: Prove value quickly with our accelerator IaC components.
- Proven Templates: Pre-built modules for AWS data services.
- Expert Guidance: Leverage our deep expertise in AWS Data Services
Discover
We begin with a discovery workshop to understand the data landscape of your organization and identify pilot data products and business use cases.
Pilot
During the pilot phase, we deploy our IaC accelerator components to rapidly build out a self-service platform on top of AWS native data services. We work collaboratively with internal customer teams to define data contracts and enable the creation of the pilot data products
Plan
The learnings from the pilot phase are used to develop a full incremental rollout and adoption plan tailored to your organisation as a key deliverable from the accelerator.
Roll Out
Post the accelerator, we support the incremental rollout and wider organizational adoption of the platform through strategic consultancy and/or hands on implementation.
Case Study
Financial Services Customer
Problem: A data-heavy enterprise struggled with many disparate data sources spread across the organisation. Data was trapped in silos, and analytics workloads were running directly against operational tables — creating performance issues and limiting scalability.
Goals: The organisation needed a central, self-service data platform that could support its domain structure and devolve responsibility for data to the teams closest to it.
Outcome: The platform delivered increased data agility and a solid data foundation across the enterprise. Teams gained secure, democratised access to data, and Zero-ETL integrations eliminated the need to copy or move data between systems.
