Performance Accelerator
Ensure seamless data integration, improved performance and cost-efficiency. Optimise your data stack performance with our proven 5-step delivery framework.




























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Outcomes
Unlock the power of a Modern Data Stack —fully automated, scalable, and built for speed, efficiency, and AI-readiness.
How it works
Cost Optimisation
Optimise scaling and compute resources and implement best practices for data storage and cost management.
Outcomes:
- Reduced operational costs through efficient resource management
- Strategic plan for ongoing cost control
Performance Tuning
Optimise SQL & dbt transformations and streamlining data flows and reducing latency.
Outcomes:
- Faster query responses and improved user experience
- Higher throughput and better resource utilization
Scalability and Security
Optimisation of RBAC settings and implementation of advanced security features alongside scalability testing.
Outcomes:
- A scalable, secure environment capable of supporting growth
- Compliance with industry security standards
Why customers love it
Faster time to value
See real performance and cost improvements within weeks — faster queries, lower compute bills, and smoother dashboards.
Gain clarity and control
Gain full visibility into what’s slowing you down and driving costs. Get clear, actionable fixes, and ways to maintain control of performance and spend.
Continuous support
Stay continuously optimised — with proactive monitoring, governance, and training to scale securely and efficiently over time.
Everything you need to know about
the Data Stack Performance Accelerator
The Data Stack Performance Accelerator is a 5-stage design sprint that helps you optimize the speed, scalability, and cost-efficiency of your Modern Data Stack. It identifies performance bottlenecks, reduces compute waste, and strengthens your data governance — ensuring your data platform runs faster, smarter, and leaner.
It’s built for mid-sized to enterprise organizations already using cloud data platforms like Snowflake or a modern data stack (e.g., Snowflake + dbt + Fivetran + Tableau/Sigma).
Typically, clients experience rising Snowflake costs, slow query performance, or scalability challenges and want expert guidance to regain control of performance and spend.
Most clients achieve faster query performance and lower computing costs within the first month. Beyond that, you’ll gain a future-proof architecture with stronger security, automated cost governance, and ongoing performance monitoring through our Managed MDS service.
The initial optimization sprint takes 6–8 weeks depending on the complexity of your data environment. The Managed MDS service can then extend this engagement with continuous governance, monitoring, and performance tuning to maintain peak efficiency over time.
Almost any, really. Final scoping will depend on your use case and current tech stack infrastructure.
Most common data platforms we support are: Snowflake, Databricks, and Google BigQuery.

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Get started with the accelerator?
Want to get started with this accelerator? Or want to know what it would look like for your project? Let's talk.
