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Data Processing

Add capacity,
not headcount.

Elastic data engineering & analysis on your tech — or as your first data team — for agile growth.

We understand your pain points (and what good looks like):

Backlog and ad-hoc asks keep piling up
Borrow a squad to clear the pressing tasks; we work from your backlog in your repos.

Fragile pipelines and breakages
Harden the data with pipeline rebuilds, lineage and observability so incidents drop and trust rises.

Warehouse/BI costs creeping up
Tune cost/performance to keep freshness while cutting waste.

No data/insight team yet (post-raise/pre-hire)
Stand up the function in 2–6 weeks: connectors, models and an exec KPI page leaders actually use.

Fear of vendor lock-in
Open components, code and data you own; we commit to your repos and hand over with docs and SLAs.

How we can help

Initial call - Technical discovery
Scope your environment, tech stack, orchestration, BI, access, and the outcomes you need by which critical dates.

Next steps

"One Truth" Audit
KPI contract, model/semantic review, data quality tests, lineage, and a prioritised burndown plan.
Result: standards agreed, risks known, and the shortest path to trust identified.


Elastic Data and Insight capability
Your leadership page + role based dashboards (Sales/Ops/Marketing); enablement & handover so teams self-serve.

Stand up your first data function
For pre-team orgs: stand up connectors (Meltano/Fivetran), warehouse layers, exec leadership page + one role dashboard, enablement and handover.

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