Data Analytics Services & BI Dashboards
Data analytics services and BI dashboard development for clearer business decisions
We build real-time BI dashboards, business intelligence reporting systems, automated data pipelines, and AI analytics tools that give leadership reliable visibility across operations, finance, sales, and customer activity.
The data analytics problem most growing businesses face
Business data often sits across ERP, e-commerce, CRM, accounting, and operational systems. By the time reports are consolidated manually, leadership is working from delayed information. We unify those sources, automate the data pipelines, and present decision-ready insights in real-time BI dashboards.
Single source of truth
We aggregate data from your ERP, CRM, sales tools, and databases into one clean data warehouse — eliminating the "which report is correct?" problem.
Real-time BI dashboards
Live KPI screens refreshed every few seconds. Drill down from company-level to branch, team, or individual — all without waiting for someone to run a query.
Business intelligence reporting automation
Daily, weekly, and monthly reports delivered to the right inboxes automatically, reducing manual exports, missed deadlines, and reporting errors.
Predictive forecasting
ML models trained on your historical data to forecast demand, predict churn, flag slow-moving inventory, and surface sales opportunities before they expire.
AI analytics and assisted workflows
LLM-powered features inside your internal tools — auto-summarise customer notes, classify tickets, extract data from documents, draft personalised communications.
Anomaly detection
Automatic alerts when metrics deviate from expected ranges — unusual spikes in returns, drops in conversion, cost overruns — before they become crises.
Data analytics and business intelligence solutions we build
- Executive KPI dashboards for revenue, margins, and operational metrics
- Sales pipeline analytics and predictive forecasting
- Inventory & supply chain analytics
- Customer behaviour & cohort analysis
- Fleet & logistics performance dashboards
- Financial business intelligence reporting for P&L, cash flow, and budget vs actuals
- HR & workforce analytics
- Marketing attribution & campaign performance tracking
- ETL pipelines & data warehouse setup
- AI document processing (invoices, purchase orders, contracts)
- Chatbot & NLP-powered internal tools
- Custom ML model development & deployment
Common dashboard starting points
Start with the report your leadership asks for every week.
Most dashboard builds begin by automating one painful report: sales pipeline, stock aging, branch profitability, dispatch performance, finance summary, or customer follow-up health.
Technology & tools we use
Data visualisation
Custom React dashboards with Recharts, D3.js, or Apache ECharts — or Metabase / Grafana for teams that prefer no-code dashboards.
Data engineering
Python (Pandas, SQLAlchemy), Apache Airflow for pipeline orchestration, PostgreSQL & MySQL as data warehouses, Redis for real-time caching.
Machine learning
Scikit-learn, XGBoost, TensorFlow, and PyTorch for predictive models. MLflow for experiment tracking and model versioning.
AI & LLM Integration
OpenAI GPT, Anthropic Claude, and open-source LLMs (Mistral, LLaMA) via API — embedded into your workflows, not bolted on as a chatbot nobody uses.
Our engagement process
- Data audit — we map every data source, its format, quality, and access method
- KPI workshop — we work with leadership to define what success metrics matter most
- Pipeline architecture — design the ETL flow from sources to clean, queryable data
- Dashboard & report prototyping — Figma mockups reviewed before any coding
- Build & integrate — connect all data sources, build the visualisation layer
- Training & handover — your team knows how to use and extend everything we build
Make decisions from current data
What could you do with clearer visibility into your operations?
Tell us what questions you can't answer today. We'll design a data solution that puts those answers in front of your team every morning.