Unified data estates on Microsoft Fabric — with AI-enriched Power BI dashboards, real-time pipelines, and semantic models that executives actually use and trust.
Most enterprises have data — they just can't use it. Silos, manual processes, and untrusted numbers mean leadership is flying on old information.
ERP, CRM, spreadsheets, and on-premises databases — each holding a different slice of the truth with no unified view. Cross-system analysis requires weeks of manual work.
Monthly reports built on data extracts from the previous week tell you what happened, not what's happening. Decisions get made on information that's already out of date.
When the numbers in Tableau don't match the numbers in the spreadsheet, analysts spend more time reconciling data than analysing it. Trust is the hardest thing to rebuild.
AI and machine learning need clean, unified, well-governed data. Without a proper data platform, AI projects start with faulty inputs and produce unreliable outputs.
We map every data source, assess quality and lineage, and design a medallion architecture (bronze, silver, gold) that fits your workload — before building anything.
Microsoft Fabric lakehouse ingesting from your ERP, CRM, databases, and third-party feeds. Real-time and batch pipelines built with Data Factory, Spark, and Fabric notebooks.
Certified semantic model with row-level security, AI-enriched Power BI dashboards, and self-serve analytics — so executives and analysts work from the same trusted source of truth.
Unified data estate on Microsoft Fabric with medallion architecture — bronze ingestion, silver transformation, gold analytical layer — processing millions of records daily in production.
Azure Data Factory, Fabric Data Pipeline, and Event Stream for real-time ingestion from ERP, POS, IoT, and third-party feeds — updated in near real-time rather than nightly batch.
Certified semantic models with row-level security, AI-enriched dashboards for executives, and self-serve analytics for business users — all backed by a single source of truth.
Azure OpenAI document summarisation layered on top of structured data — turning hours of manual document review into AI-assisted summaries for loan officers, analysts, and operations teams.
Data lineage, quality monitoring, sensitivity labels, and Microsoft Purview integration — so your data estate is auditable, compliant, and trustworthy at enterprise scale.
For workloads that require heavy Spark compute, ML feature engineering, or large-scale transformations beyond Fabric — Azure Synapse Analytics and Azure Databricks integrated into your platform.