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DatabricksCustomer Story

FROM SILOS TO ONE PLATFORM

60% lower pipeline costs. Half the time to AI.

A global enterprise unified analytics, BI, and AI on the Databricks Lakehouse — retiring four disconnected systems and putting every team on one governed foundation.

Databricks Lakehouse unifying analytics, BI and AI

60%

reduction in data pipeline costs

2x

faster time to production AI

4→1

systems consolidated to one platform

THE TRANSFORMATION

Four disconnected systems, one governed source of truth

Analytics ran in one warehouse, BI in another, and every AI initiative began with weeks of data copying and reconciliation. Governance was stitched together by hand, and no team trusted the same numbers.

Consolidating onto the Lakehouse ended the copies. Data engineering, warehousing, BI, and production AI now run on one governed platform — with a single access model and one version of the truth.

WHAT CHANGED

One platform for every workload

Unified analytics dashboard on the Databricks Lakehouse✓

Analytics, BI, and AI on shared, governed data — no more copies

✓

One access and lineage model across every team and workspace

✓

Production-grade AI and agents built directly on trusted data

“

We stopped moving data between systems and started building on it. One governed platform gave every team the same trusted foundation — and cut our costs while we shipped AI faster.

Customer executive portraitVP, Data & Analytics

Global enterprise customer

Read the full case study

See the architecture, the migration path, and the full results behind the consolidation.

Read the case study

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