- Engineering Projects
Data Management / Business Intelligence
We transform data into strategic information through interactive dashboards with KPIs, streamlining and facilitating decision-making.
Applications
Production
- Real-time monitoring of plant status by line and machine OEE.
- Profitability Dashboard by project: income and expenses.
- Predictive demand and maintenance analysis.
Quality
- Prediction of production failures and process improvement and optimization.
- Defect analysis and response times.
- Deviation of Measurements by OF.
- Real-time visualization of the status of industrial machinery
Commercial
- Dashboard Lead and Sales Conversion.
- Data-driven customer segmentation.
- Market trend prediction.
- Visualization of the Status of each Business, with respect to objectives.
Finance
- Real-time P&L. Income and expenses.
- Analysis of the Treasury Situation.
- Financial projections for future years.
- Identification of fraud patterns and cost optimization.
HR
- Business Absenteeism Reports.
- Impact of Hours on Projects.
- Overtime, Night Work and Holidays Worked.
- Work environment assessment using AI.
Sources we work with
A dashboard can connect to virtually any system that generates data. These are the main categories of data sources we work with:
BUSINESS MANAGEMENT SYSTEMS (ERP / CRM)
ERP
SAP, Navision, Odoo, Sage, A3, Dynamics 365, Epicor…
CRM
Salesforce, HubSpot, Dynamics CRM, Zoho…
MES / SCADA
Manufacturing execution and industrial control systems.
CMMS
Computer-aided maintenance management.
DATABASES AND FILES
SQL / NoSQL
MySQL, PostgreSQL, SQL Server, MongoDB, Oracle…
Excel / CSV
Spreadsheets, exports, manual reports.
SharePoint / Drive
Corporate documents and folders in the cloud.
Data Warehouse
Azure Synapse, Snowflake, BigQuery, Redshift…
INDUSTRIAL AND PLANT DATA
OPC UA / OPC DA
Standard protocol for industrial machinery data.
CODESYS / PLC
Data from PLCs and plant controllers.
IoT Sensors
Temperature, pressure, vibration, energy consumption…
MQTT / Modbus
Industrial communication protocols and IoT.
CLOUD APPLICATIONS AND SERVICES
REST APIs
Any application with an API: e-commerce, logistics, or consumer goods.
Google Analytics
Web traffic, conversions, user behavior.
ERP cloud
Business Central, SAP Cloud, Oracle Fusion…
Marketing / Email
Mailchimp, HubSpot, ActiveCampaign, Meta Ads…
External sources and open data
Meteorological data
Impact of climate on production, logistics or consumption.
Market prices
Commodities, currencies, sector indices.
Public data
INE, Eurostat, CNAE, official records…
Social networks
Brand mentions, trends, online reputation.
The most common approach is to combine several sources in the same dashboard: for example, production data from the ERP + machine times via OPC UA + quality data from the MES, to have a 360º view of the process in real time.
Key stages of the process
- Definition of objectives
- Access to data
- Information processing
- Analysis and modeling
- Maintenance and optimization
Technologies we work with
Success story
Discover how we have helped our clients achieve their digital goals with effective, customized, and results-oriented solutions.