At Velrada, we turn data into decisions and AI into outcomes.
Recognised by Microsoft for our proven capability in implementing Microsoft Fabric and helping organisations unlock greater value from their data, analytics, and AI investments.
We design, build, and scale modern Microsoft data estates with Microsoft Fabric, Azure, and Power BI. Enabling leaders to get trusted insights faster, operations running smarter, and AI working safely on governed data.
It is easy to get caught up with technology and architecture to approach data projects bottom-up. Our experience has shown that this approach often leads to limited ROI and misalignment to business strategy and tactical objectives.
Therefore, we differentiate with the following principles:
Start with analysis to discover the business process, decision, KPI, opportunity or pain point then map the data needed to enable.
Constrain scope to one use case and one metric; prove the business case before scaling.
Domain owned data products with clear SLAs, quality, lineage, and cost transparency.
Policy as code, lineage, and sensitivity labels embedded from the start.
Frequent “show & tell”, production capable increments, and a clear conversion path from pilot to program.
We are proud to offer services across the entire data and analytics lifecycle.
Enterprise-wide platforms need to address challenges at every layer from raw data to prescriptive intelligence. Our team understands when and how to bring in Microsoft offerings:
OneLake metadata-driven medallion architecture, Lakehouse and Warehouse endpoints facilitating Direct Lake ingestion, Real Time Intelligence (RTI), and pipelines to orchestrate Notebook and Dataflow transformations within the unified data & AI platform.
Enterprise semantic models and governed self-service for decision making at scale.
Catalogue, lineage, classification, sensitivity labels, and policy enforcement across the estate. Purview Hub within MS Fabric.
Storage, compute, and advanced AI (including vector/RAG) where needed.
Last mile apps and automation to close the loop from insight to action.
Shortcuts/mirroring with ADLS/S3 and interoperability with Databricks/Snowflake to avoid heavy migrations.
We specialise in asset heavy and regulated sectors where reliability, safety, and compliance matter. Typical outcomes include reduced downtime, faster time to insight, improved access/flow, and lower run cost through consolidation.
Bring us one high-impact decision or operational challenge. We’ll identify the data, land a governed pattern in Fabric, and evidence impact within weeks. Then, scale it confidently across your organisation.
