Data Analytics & Business Intelligence
Spend Your Time on Decisions, Not on Building Reports
Our data analytics and business intelligence service brings the data scattered across your ERP, MES, CRM, spreadsheets and sensors into one structure and turns it into reports your managers open every morning and trust. We build BI dashboards, data warehouses, geographic information systems (GIS), precision agriculture IoT and drone data processing around your business.
When sales sit in the ERP, production in the MES, field records in spreadsheets and sensor readings on another server, month-end looks the same everywhere: someone spends days stitching tables together and the meeting is spent arguing about whose figure is right. We connect those sources, model the data once and deliver reports your managers can open every morning and trust. Where location matters, we also build geographic information systems (GIS), and where the same KPI is calculated differently in each department, we start with data governance and data quality.
BI Dashboards & Reporting
Sales, production, stock and finance KPIs on one screen, without anyone assembling spreadsheets by hand. Data is pulled from your ERP and other systems and refreshed on a fixed schedule.
Data Warehouse & Integration
One warehouse for ERP, CRM, e-commerce and production data. Each customer and product carries the same code in every report, and reporting no longer slows down your live systems.
Precision Agriculture IoT
Monitor soil moisture, temperature and pH remotely with in-field sensors. Readings travel over LoRa or NB-IoT, and irrigation can switch on and off based on the measurements.
Drone Data Processing
We turn drone imagery into orthophotos, 3D surface models, NDVI crop-health maps and damage reports, delivered in formats that open directly in standard GIS software.
Data Analytics by Sector: The Questions We Answer
Agriculture & Food
Which plots are short of water, where is yield dropping, where did the cold chain break?
Manufacturing
Which line missed target on which shift, and where is the scrap coming from?
Logistics
Where are deliveries running late, and which vehicles and routes are driving up cost?
Retail & E-Commerce
Which channels and campaigns actually make a margin, and which products sit in stock?
Real Estate & Retail Centres
Footfall, energy use and tenant performance in a single report.
Healthcare
When and where does patient demand peak, and how should capacity be planned?
Start by mapping the data you already have
We review your systems and the reports your team still builds by hand, then send a written proposal covering what can be automated, in what order and at what cost.
Frequently Asked Questions
What does a data analytics service actually do?
A data analytics service brings data scattered across your ERP, MES, CRM, spreadsheets and sensors into one structure and turns it into reports managers open every morning and trust. Instead of spending days at month-end stitching tables together and arguing about whose figure is right, the team can focus on decisions. We deliver this through BI dashboards, data warehousing, GIS, precision agriculture IoT and drone data processing.
Where should a data analytics project start?
We start by reviewing the systems you use and the reports your team still builds by hand. We then send a written proposal covering what can be automated, in what order and at what cost. If data is scattered, a data warehouse usually comes first; if departments calculate the same KPI differently, we begin with data governance and data quality; if the need is clear, a management dashboard can be built straight away.
Can data from different systems be combined in one report?
Yes. Data from ERP, CRM, e-commerce, production and field systems is brought into a single data warehouse through ETL pipelines. Each customer and product carries the same code in every report, so departments stop producing different figures. Because reports read from the warehouse, running them does not slow down your live ERP or production systems.
Which industries use business intelligence?
In agriculture and food it shows which plots are short of water or where the cold chain broke; in manufacturing, which line missed target and where scrap comes from; in logistics, where deliveries are delayed; in retail and e-commerce, which channel is actually profitable. Shopping centres see footfall, energy and tenant performance together, and hospitals use it to plan capacity around patient demand.
Can drone and sensor data be included in the analysis?
Yes. Soil moisture, temperature and pH readings from precision agriculture sensors are collected over LoRa or NB-IoT, and drone imagery is processed into NDVI maps, orthophotos and 3D models. These outputs can feed into a GIS application or a management dashboard and be used in the same report alongside ERP and production data.
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