Data Platform Accelerator
Rapidly pilot and explore the advantages of modern data mesh architecture within a risk-free environment.
What is a Data Mesh?
A Data Mesh is a decentralised architecture for managing analytical data at scale. It treats data as a product, with domain experts owning their data, federated governance, and shared infrastructure. This approach helps data-heavy organisations solve common problems: bottlenecks from overloaded central teams, performance issues from mixing analytics with operations, excessive ETL complexity, poor data quality, siloed data, and fragmented architecture.
Benefits
Remove Bottlenecks
From central data teams by devolving responsibility for data products to domain experts.
Evolutionary Architecture
Decoupled & decentralised architecture means that the platform can flex and scale with the business.
Zero-ETL Integration
Published data products can be consumed in-place without copying.
Improved Observability
The platform monitors data production and consumption metrics.
Increased Agility
Autonomous domains can run faster with higher agility.
Data Provenance
The platform can track lineage and improve auditability.
Improved Data Quality
Data is published and described by decentralised expert teams.
Governance & Security
The platform controls access policies and contracts centrally.
Data Platform Accelerator
Rapidly pilot and explore the benefits of a data mesh in a risk-free environment, effectively overcoming analysis paralysis.
Leverage our proven templates and expertise in leading data services—including AWS S3, AWS Glue, Athena, Redshift, AWS Lake Formation, Amazon DataZone, Dremio, Snowflake, Databricks, Power BI, and QuickSight. With support to incrementally roll out the Mesh across the enterprise.
Discover
The accelerator begins with an initial discovery workshop, which typically takes one day. Following this we work with you to understand the data landscape of your organisation and identify pilot data products and business use cases.
Pilot
During the pilot phase, we deploy our Mesh Accelerators 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 pilot data products. This is an iterative and transparent process that is focused on delivering the identified business use cases
Plan
The learnings from the pilot phase are used to develop a full incremental rollout and adoption plan for the Data Mesh tailored to your organisation as a key deliverable from the accelerator.
Roll Out
Post the accelerator, we support the incremental rollout and wider organisational adoption of the mesh through strategic consultancy and/or hands-on implementation.
Case Study
Financial Services Customer
The Problem: A data-heavy global financial services company faced numerous data challenges due to rapid business growth, hindering efficiency and agility. Additionally, there was a recognised need to modernise the application portfolio to adapt to evolving business requirements.
The Solution: Establish a central, self-service data platform that could accommodate the organisational domain structure and devolve responsibility for data to specific domains. Improve observability and data lineage, as well as democratise access to data across the organisation.
The Outcome: The creation of an evolutionary, event-driven platform maximised team autonomy, fostering innovation and agility within the organisation.
