Your data holds the answers — you just can't see them yet. Cambay builds unified Azure analytics platforms that connect every data source, automate transformation and deliver real-time dashboards and AI-powered insights to every decision-maker in your business.
Azure Analytics is Microsoft's unified data platform — combining Azure Synapse Analytics, Microsoft Fabric, Azure Data Factory, Azure Databricks and Power BI into a single, integrated ecosystem. It ingests data from any source, transforms it at any scale and delivers insights through world-class visualisation tools.
Cambay designs and builds modern data platforms that replace fragmented spreadsheet reporting, disconnected data warehouses and manual extract processes with an automated, governed and scalable analytics foundation — giving every team a single, trusted view of the truth.
Azure Analytics solves the data challenges that leave leadership teams making decisions on stale, incomplete or contradictory information.
Finance has one set of numbers, sales has another and operations has a third. Every board meeting starts with 30 minutes debating whose figures are right — trust in data is zero.
Cambay builds a centralised data warehouse on Azure Synapse that ingests, transforms and governs data from every system — ERP, CRM, IoT, finance — into a single, certified version of truth.
Analysts spend 80% of their time extracting, cleansing and reconciling data in Excel — leaving only 20% for the actual analysis and insight generation the business needs from them.
Azure Data Factory automates the entire data pipeline — extract, transform, load and refresh — so analysts work with clean, current data in Power BI every morning without lifting a finger.
Contracts, emails, call recordings, meeting notes and PDFs contain valuable intelligence — but your BI tools can only query structured database data, leaving the rest completely dark.
Azure AI and Cognitive Search extract, classify and index unstructured content — making the intelligence in documents, communications and recordings queryable alongside your structured data.
Every new report or dashboard requires an IT ticket, a backlog of weeks and a developer — meaning leadership never gets the ad-hoc analysis they need when they need it.
Power BI's drag-and-drop interface and natural language Q&A let business users build their own reports on governed, trusted data — freeing IT from report production and empowering every team.
You don't know where your data comes from, who owns it, whether it's accurate or what downstream reports it feeds into. Compliance teams can't evidence data handling for GDPR audits.
Azure Purview scans all data sources automatically — building a searchable data catalogue with lineage, ownership, classification and sensitivity labels that evidence GDPR compliance.
Your legacy data warehouse struggles with the data volumes you now generate — queries take hours, refreshes fail overnight and adding new data sources requires months of schema changes.
Azure Databricks and Synapse handle petabyte-scale data with serverless compute that scales instantly — cutting query times from hours to seconds and removing the ceiling on your data ambitions.
From data ingestion and transformation to real-time dashboards, big data processing and AI — Cambay delivers the complete Azure analytics stack.
The limitless analytics service that brings together enterprise data warehousing, big data analytics and data integration into a single unified platform — with built-in Apache Spark, serverless SQL and Power BI.
Enterprise data warehouse with columnar storage, massively parallel processing and workload management — for sub-second query performance at petabyte scale.
Query data in Azure Data Lake Storage directly with SQL — no provisioning, pay only per terabyte scanned — ideal for ad-hoc exploration.
Run PySpark, Scala and .NET workloads for data engineering, ML model training and large-scale data transformation on auto-scaling Spark clusters.
Built-in data integration with 90+ connectors for orchestrating complex ELT workflows — functionally equivalent to Azure Data Factory.
Build and publish Power BI reports directly from Synapse Studio — without leaving the analytics environment or moving data.
Row-level and column-level security policies ensure sensitive financial and personal data is only visible to authorised users.
The next-generation unified analytics platform — bringing data engineering, data science, real-time analytics, data warehousing and business intelligence into one SaaS experience with a shared OneLake data store.
A single logical data lake for the entire organisation — all Fabric workloads read from and write to OneLake, eliminating data copies and silos.
Collaborative Spark notebooks for data transformation, feature engineering and pipeline authoring — with built-in version control.
Kusto Query Language engine for streaming analytics — ideal for IoT telemetry, log analytics and operational dashboards requiring seconds-fresh data.
AI assistant that generates SQL queries, writes DAX measures, creates data pipelines and explains code in natural language — accelerating analyst productivity.
Choose the right storage pattern — warehouse for structured reporting, lakehouse for raw data exploration — sharing the same OneLake storage.
Shared workspaces with role-based access for data engineers, analysts and business users — with Git integration for CI/CD of data assets.
World-leading business intelligence and data visualisation — deployed for internal self-service reporting, embedded into customer portals and SharePoint, or published as branded applications to external audiences.
Stunning, interactive reports with drill-through, cross-filter and bookmarks — surfacing the right KPIs to the right people in seconds.
Business users ask questions in plain English — "What were our top 10 customers last quarter?" — and Power BI answers visually, instantly.
Embed branded, white-label analytics into your own web applications, customer portals and product UIs — with row-level security per customer.
Native Power BI mobile apps for iOS and Android, plus direct embedding in Microsoft Teams channels and tab applications.
AI-generated report summaries, anomaly narratives and DAX measure suggestions — reducing the time from data to insight for every analyst.
Define RLS rules so each business unit, region or customer segment only ever sees their own data — in the same shared report.
Cloud-scale data integration and ETL/ELT service — orchestrating data movement and transformation across 90+ on-premises and cloud connectors with a no-code visual pipeline designer.
Pre-built connectors for Business Central, Dynamics 365, Salesforce, SAP, SQL Server, Oracle, SharePoint, REST APIs and more.
Drag-and-drop pipeline authoring with 80+ transformation activities — joins, aggregations, pivots, lookups — without writing code.
Schedule pipelines on time, trigger on events (new file arrival, database change) or invoke via REST API — fully automated data flows.
Pipeline run history, duration metrics and failure alerts in Azure Monitor — with email and Teams notifications on pipeline errors.
Watermark and change data capture patterns ensure only new or changed records are processed — dramatically reducing pipeline runtime and cost.
Visual data flow engine transpiles transformations to Spark — giving big-data scale without writing a line of PySpark or SQL.
Discover, classify, govern and protect your entire data estate — on-premises, multi-cloud and SaaS. Azure Purview provides the data catalogue, lineage and compliance controls that enterprise analytics demands.
Purview scans Azure, on-premises SQL, SharePoint, SAP and Power BI automatically — building a complete map of every data asset in your organisation.
Automatically classify data as PII, financial, health or custom types — applying sensitivity labels that integrate with Microsoft 365 protection policies.
Trace exactly how data flows from source to report — through every pipeline, transformation and model — for impact analysis and GDPR compliance.
A searchable, business-friendly catalogue where data owners document datasets, certify quality and help analysts find the right data quickly.
Define access policies in Purview that are enforced across Azure Data Lake, Synapse and Fabric — ensuring least-privilege data access.
Evidence data handling, retention and access controls to auditors — with lineage and classification reports generated from Purview automatically.
The unified analytics platform built on Apache Spark — for large-scale data engineering, collaborative data science and ML model training that goes beyond what Synapse SQL alone can deliver.
Process terabytes of raw data with PySpark, Scala or SQL — with auto-scaling clusters that spin up in minutes and shut down to zero.
Shared notebooks for data engineers, scientists and analysts — with real-time co-authoring, version control and reproducible experiments.
Train and track machine learning experiments with MLflow integration — registering the best models for deployment to Azure ML endpoints.
ACID transactions on data lake storage — ensuring data reliability, schema enforcement and time-travel queries for audit and rollback.
Unified governance layer across Databricks workspaces — with fine-grained table and column access control and automated data lineage.
GPU compute clusters for deep learning and computer vision model training — with photon-accelerated SQL for interactive query performance.
Cambay's proven data platform methodology delivers a production-grade analytics environment in 8–14 weeks — with business users getting their first dashboards in week 4.
Audit of all data sources, quality assessment, use case prioritisation and KPI definition. Output: data platform architecture and phased delivery roadmap.
Deploy Azure Data Lake, Synapse or Fabric workspace, configure networking, security and governance. Establish medallion architecture (bronze, silver, gold).
Build ADF pipelines for each data source. Apply cleansing, transformation and business logic rules. Validate output against source systems with reconciliation sign-off.
Build Power BI data model, KPI dashboards and self-service reports. Iterative delivery with weekly stakeholder reviews and sign-off.
Deploy Azure Purview, implement RLS and data access policies, train business users and onboard additional data sources to the platform.
Before Cambay, our board pack took 3 days to compile from 12 different spreadsheets. Now it refreshes automatically every morning. We have one set of numbers everyone trusts, and our FD can drill into any line item in Power BI within seconds. The business impact has been transformational.CFO · $230M Retail Group
Have a data or analytics question? Our team are here to help you find the right approach.
Speak to a Data ExpertAzure Synapse Analytics is the established enterprise analytics service — combining dedicated SQL pools, serverless SQL and Spark in one workspace. Microsoft Fabric is the next-generation evolution — a unified SaaS platform that adds real-time analytics, data engineering and business intelligence into one experience with a shared OneLake storage layer. Cambay recommends Fabric for new builds and helps existing Synapse customers migrate progressively.
Power BI Pro licences ($9.40/user/month) give individuals full report creation and sharing capabilities. Power BI Premium (per-user or per-capacity) adds paginated reports, AI features, larger datasets and the ability to share with users who don't have a Pro licence. For most SMBs, Power BI Pro is sufficient. Cambay advises on the optimal licensing model for your specific use case and audience size.
A focused Phase 1 — connecting 3–5 key data sources and delivering a board-level Power BI dashboard — typically takes 8–12 weeks. Full enterprise data platform programmes with 10+ sources, complex transformations and self-service rollout typically take 4–6 months. Cambay delivers in two-week sprints, so business users get their first dashboards by week 4–6 in every project.
Yes. Cambay has pre-built connectors and transformation templates for Business Central, Dynamics 365, SAP, Salesforce, HubSpot, Sage and most major business applications. Azure Data Factory's 90+ connectors handle the connectivity layer. The more complex work is normalising the data models — which our data engineers have done dozens of times across these platforms.
The medallion architecture is an industry-standard pattern for organising data lake layers: Bronze (raw ingested data), Silver (cleansed and conformed data) and Gold (business-ready aggregations for reporting). This separation ensures raw data is never lost, transformation logic is transparent and testable, and reporting layers are optimised for Power BI query performance. Cambay implements this pattern on all data platform projects.
Azure Purview automatically scans all data sources — classifying personal data (names, emails, national insurance numbers) and mapping where it sits, how it moves through pipelines and who has access. This gives your DPO an auditable map of all personal data processing — evidencing GDPR Article 30 Record of Processing Activities (RoPA) requirements and supporting data subject access request (DSAR) responses.
A traditional data warehouse stores structured, processed data in schema-on-write format — fast for reporting, inflexible for new data types. A data lake stores raw data in any format (schema-on-read) — flexible but slower to query. A data lakehouse (Fabric or Synapse) combines both — providing the flexibility of a lake with the performance and governance of a warehouse. Cambay designs the right architecture for your specific data volumes, query patterns and team skills.
Book a free Data Assessment with a Cambay Azure analytics consultant. We'll audit your data sources, identify your highest-value use cases and show you exactly what's possible — at no cost.
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