Data Acquisition and Reporting

Implement a FAIR Data System

The industrial sector is one of the top 10 sectors with a higher potential to use data analytics to increase its competitiveness. Data is collected on a large scale due to the increasing number of data sources and the use of advanced technologies such as the IoT, as almost all factory devices with internet access are permanently collecting information.


Although this data is crucial for companies, so far, the focus has only been on its collection – without any processing or direct use – of industrial big data. This vast amount of information becomes more relevant the more efficiently and assertively it is collected, prepared, stored and analyzed.


The data used by the company must clearly demonstrate four characteristics: Findability (data is easy to locate), Accessibility (data is stored and qualified users know how to access it), Interoperability (data can be used in multiple systems and be integrated with other data), Reusability (data is correct, reliable and can be replicated in different scenarios).

KAIZEN™ Solution

A solution that combines best-in-class lean principles with digital tools

Data Collection

Smart sensors, actuators, or machine vision systems to collect data from machines

AIDC Devices

Assets management and tracking parts/ products throughout the value chain with AIDC devices

Data Integration

Vertical and horizontal data integration in Manufacturing Operations Management (MOM) and Business Applications (ERP, CRM)

Cloud Computing

Cloud storing and computing

Data Mining

Data mining techniques to get knowledge from big data

Business Intelligence

Reporting and dynamic dashboards to analyze, extract and visualize data to provide business intelligence (BI)

Smart sensors, actuators, or machine vision systems to collect data from machines

Assets management and tracking parts/products throughout the value chain with AIDC devices

Vertical and horizontal data integration in Manufacturing Operations Management (MOM) and Business Applications (ERP, CRM)

Cloud storing and computing

Data mining techniques to get knowledge from big data

Reporting and dynamic dashboards to analyze, extract and visualize data to provide business intelligence (BI)

Ready to start?

Find out what are the key opportunities in your processes by conducting a diagnosis workshop

Key Outcomes

Data availability