ai data analytics
We build the centralised data layer that unifies every source your business runs on — so anyone can ask a business question and get a trusted answer in seconds.
For mid-to-large enterprises running Power BI, SAP, Salesforce, Snowflake, Azure, or Microsoft Fabric.
No commitment. We'll map your current stack in the first call.
Every ad-hoc question needs a ticket. Your BI team is overwhelmed while the business waits days for a number that should take seconds.
Pre-built Power BI reports answer yesterday's questions. Any new question requires a new build, a new sprint, and another wait.
Every team pulls from different models with conflicting DAX logic. The same metric means something different depending on which report you open.
When it takes 3 days to get a verified number, decisions are made on gut feel — not governed, trusted data.
Type your question the way you'd ask a colleague. No SQL, no DAX, no tickets to the BI team.
Governed Power BI metric definitions are retrieved and a precise, business-aware query is generated automatically.
Results render instantly as the right visualisation — bar chart, trend line, map, or table — consistent with your Power BI design standards.
A plain-language summary highlights trends, anomalies, and actionable takeaways — safe to present to leadership without analyst review.
Every question travels through five layers before becoming a trusted, governed answer your business can act on — built around a Power BI-first approach.
ERP, CRM, Microsoft platforms, and spreadsheets — each speaks its own language. Without unification, conflicting numbers erode trust across your Power BI reports.
Pull data from all sources on a schedule that matches your needs — leveraging Microsoft-native connectors first to minimise friction and maximise your existing Azure investment.
We default to Microsoft Fabric's OneLake for seamless Power BI integration — with Snowflake or BigQuery as cloud-agnostic alternatives where your infrastructure demands it.
Raw data is cleaned and structured into three tiers — Raw → Staging → Business Marts — using Power Query and Dataflows Gen2 natively within Fabric, with dbt for complex cross-platform scenarios.
This is where your data gets a business vocabulary — and where Power BI does its most powerful work. The Power BI Semantic Model defines exactly what "Revenue," "Active Customer," and every KPI means according to your rules, enforced in DAX. Without a governed semantic layer, your AI is guessing with business data. We mine your existing Power BI reports and PBIX files to seed this layer with validated definitions from day one.
Native DAX measures, row-level security, and Direct Lake mode in Fabric. The natural home for Power BI-first organisations — no extra tooling, no duplication.
Ideal when your transformation logic already lives in dbt. Centralises metric definitions across Power BI and other BI consumers in one codebase.
Best for organisations needing a warehouse-agnostic API layer on top of Power BI — unlocking natural language querying for custom applications.
No SQL, no DAX, no ticket to the BI team. Just a question typed directly into the interface.
Using RAG, it searches the semantic layer for the exact DAX measure definitions and validated business logic that apply — no hallucinated metrics.
The AI constructs a query that respects your company's specific Power BI rules and DAX logic — not a generic guess that ignores your model's definitions.
A validation layer checks for unauthorised access, missing Power BI RLS filters, and query errors before anything reaches your data warehouse.
Power BI Row-Level Security carries through — the CFO sees company-wide numbers, a regional manager sees their territory only, enforced at the model level.
Results are narrated in plain language and rendered as the right chart type based on the intent of the question — consistent with your existing Power BI visual standards.
We'll map your current Power BI environment and show you exactly what's needed — in one 30-minute call.
No commitment. No sales pitch. Just a practical roadmap.
Contact our team of experts today!
Most organizations are sitting on 3–4 use cases that…
Microsoft isn't just adding AI features to Power Automate.…
The 45% gap between what's automatable and what's actually…
In 2026, your automation platform is no longer a…
We've been implementing these architectures for mid-market enterprises across…