Vertical 02 • Data engineering and analytics

A governed lakehouse above your ERP.

We consolidate fragmented ERP, warehouse and application data into a governed environment on Databricks and Microsoft Fabric, so reporting, BI and AI run on one clean copy of the data.

Why enterprise data does not turn into decisions

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Fragmented enterprise data

Limited management visibility

Legacy data infrastructure

Operational data is spread across ERP modules, databases, warehouses and applications, so no single view of the business exists.

Decision-makers lack consolidated operational, financial and market insight, and rely on manually assembled reports that are already stale.

Older warehouses, Hadoop and ETL environments increase reporting and analytics complexity and slow down every new question the business wants to ask.

What we deliver on Databricks

Governed lakehouse, applications and AI, above the ERP.

Unity Catalog

One governance layer for tables, models, files and dashboards, with column-level lineage, row and column access rules and audit.

Delta Sharing

Open, zero-copy sharing across clouds and platforms. SAP Business Data Cloud products mount into Unity Catalog with no ETL.

Lakebase

Serverless Postgres inside the lakehouse with autoscaling, branching and scale-to-zero, serving ERP data to applications at low latency.

Databricks Apps

Serverless hosting for Streamlit, Dash and Flask applications with built-in OAuth, giving plant and finance teams working tools, not just reports.

Lakehouse and AI

Delta and Iceberg tables, managed pipelines and MLflow models for predictive maintenance, quality deviation and demand forecasts.

What we deliver on Microsoft Fabric

Unified storage, reporting and agents.

OneLake

One logical lake in Delta Parquet that every workload reads. Shortcuts point at S3, ADLS and other stores without copying data.

Mirroring

Near real-time replication from SQL Server, Oracle, SAP Datasphere and Unity Catalog into OneLake, with no pipeline to maintain.

Power BI and Direct Lake

Governed semantic models and management dashboards reading OneLake directly, without a separate import or refresh cycle.

Real-Time Intelligence

Eventstreams, KQL databases and the Real-Time Hub, with Activator rules alerting on kiln, stock and dispatch thresholds.

Fabric Data Agent and IQ

Plain-language questions over lakehouse and warehouse data, on a shared semantic layer that agents can reason against.

How this fits with your existing stack

Positioning

Delivery model

Customer outcome

The analytics and AI layer above your ERP, not a replacement for it.

Sold alongside our SAP, cloud migration and enterprise data engagements, so one team owns the end-to-end path.

Governed reporting and prediction without needing an in-house data platform team.

Where we plug in

Platform setup and migration

Legacy warehouse, Hadoop and ETL migration onto Databricks or Fabric.

Data pipelines

Batch and streaming pipelines using Delta Lake and medallion architecture.

Lakehouse modernisation

Governed and unified enterprise data architecture, replacing brittle point-to-point flows.

BI enablement

Power BI, Tableau and Looker integrations, with semantic models designed for leadership reporting.

Managed services

Performance tuning, cost optimisation and ongoing platform administration.

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