What Is Big Data? The 5 Vs, Business Use Cases and Where Your Company Should Start
What is big data and what do the 5 Vs mean? A practical guide to whether your company needs big data tools or simply a well-built data warehouse.
9 min read
Data Analytics & Business Intelligence
Data & Analytics
Spend Your Time on Decisions, Not on Building Reports
Data analytics and business intelligence (BI) means bringing the data scattered across your ERP, MES, CRM, spreadsheets and sensors into one structure and turning it into reports and KPIs your managers open every morning and trust. Digital Bridge builds 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. Once we connect those sources, the month-end report is ready on its own, and the meeting is spent deciding what to do about the figures rather than debating whether they are right. 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.
01
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.
KPI Tracking
Drill-Down Reports
ERP Integration
Mobile Access
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02
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.
ETL Pipelines
Central Data Model
Multi-Source
Data Quality
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03
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.
Soil Sensors
LoRa / NB-IoT
Irrigation Control
Mobile Monitoring
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04
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.
NDVI Analysis
Orthophotos
3D Models & Volumes
Damage Assessment
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Why Digital Bridge?
- We have been building bespoke software and hardware for businesses since 2013.
- Software and hardware in one team: from the sensor in the field to the management dashboard, you deal with a single contact.
- No off-the-shelf package forced on you; after a needs analysis, scope, phases and cost are set out in a written proposal.
- Systems we put live are backed by 24/7 technical support.
Common Concerns
- "Will we have to replace our ERP?" No. Data is read from your existing systems, and with system integration and a data warehouse, reporting does not slow down your live systems.
- "Our data is messy." That is the case in most businesses. KPI definitions and data quality are dealt with in the first step.
- "Can we go beyond reporting?" Yes. The data you consolidate is also the foundation for next steps such as demand forecasting and AI integration.
Guides worth reading before a data project: moving from Excel reports to BI, how a data warehouse and ETL work, which KPIs belong on a BI dashboard and building a data governance framework. All articles are listed under data and analytics guides.
Sectors
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.
Questions we hear most often
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.
What is the difference between a BI dashboard and a data warehouse?
A BI dashboard is the reporting layer where managers see sales, production, stock and finance KPIs on one screen. A data warehouse is the foundation behind it: data from your ERP, CRM, e-commerce and production systems is cleaned and held in one structure. With few sources a dashboard can be built directly; when data is spread across many systems, a warehouse keeps the figures consistent.
Do we need to replace our ERP to use data analytics?
No. Data is read from the ERP, MES, CRM and spreadsheets you already use, and your teams keep working in the software they know. Sources are connected through system integration and ETL pipelines, and because reports read from the data warehouse, your live systems do not slow down. What changes is that hand-built month-end spreadsheets give way to reports refreshed by the same rules every day.
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