From Data Silos to Strategic Assets
Your data is scattered across legacy systems, Excel files, and disconnected SaaS tools. We migrate it to a unified, modern Azure data platform — Microsoft Fabric, Azure Synapse, and Power BI — and deliver your first working dashboard in weeks, not months.
The real cost of data silos
Fragmented data is not just an IT problem — it is a business performance problem. Here is what data silos cost your organisation every day.
No single source of truth
Finance has one version of revenue. Sales has another. Operations has a third. Every meeting starts with 20 minutes debating whose numbers are right instead of making decisions.
Reporting takes days, not minutes
Monthly reports require analysts to manually extract, reconcile, and format data from five different systems. By the time the report is ready, the decisions have already been made.
Data too stale for operational use
Batch exports run at night. By morning, the data is 12+ hours old. Real-time operational decisions — inventory, pricing, routing — require data that is minutes old, not hours.
IT is the bottleneck
Every data request goes through IT. Analysts wait 2–3 weeks for a new report. Questions go unanswered because the technical queue is too long.
The modern Azure data stack, layer by layer
Each layer of the modern data stack solves a specific problem. We pick the right tools for your scale, team, and budget — not the most complex ones.
Connect to all your sources — databases, ERP, CRM, APIs, files — and land data in the lake automatically. Incremental loads only re-process what changed.
A single, governed data lake with ACID transaction support. All teams access the same data in the same place — no more fragmented copies.
Transform raw data into clean, business-ready tables using version-controlled, tested transformation logic. Data quality is enforced, not hoped for.
High-performance analytical query layer for your BI tools and data science workloads. Optimised for the specific query patterns of your business.
Self-service dashboards that connect directly to your semantic model. No more Excel exports. Analysts explore data themselves without involving IT.
See your data working in 4 weeks
Most data platform projects fail at the business case stage because stakeholders cannot imagine what the end result looks like. Dashboard in a Box solves this: we connect to your existing data sources and deliver working, interactive Power BI dashboards in four weeks — so your team can see real value before the full migration begins.
It also de-risks the larger project. By the time we start the full data platform build, everyone has seen what good looks like, and the data quality issues have already been surfaced.
- Connect to your existing data sources (database, ERP, Excel exports)
- Build a governed data model with defined KPIs and business logic
- Deliver 3–5 interactive Power BI dashboards to business stakeholders
- Train your team on self-service report creation
- Hand over the model and documentation — you own it
How a full migration works
A structured four-phase approach that delivers business value at each stage — not a six-month blackout before anything is usable.
Inventory all data sources, document current pain points, and identify the top three use cases that will deliver the most business value soonest.
Architecture design, tool selection, data model design, and security/governance framework. We agree the target state before writing a line of code.
Iterative delivery of ingestion pipelines, transformations, data model, and initial dashboards. Weekly releases keep stakeholders engaged and feedback loops short.
Training, documentation, handover, and monitoring setup. Your team can maintain and extend the platform without depending on IITS for every change.
Stop managing data chaos. Start making data-driven decisions.
Book a free 45-minute session — we will map your current data sources, identify the top three quick wins, and scope the effort required.
Book Free Strategy Session