Manufacturing Analytics: the revolution that starts with data

Business area
Data Analytics
Manufacturing Analytics: the revolution that starts with data

Get up-to-date real-time insights from systems capable of aggregating data collected from both traditional IT sources and industrial machinery to ensure increased and optimized performance.

Manufacturing Analytics solutions aim to use data collected from factory processes to ensure higher quality, performance and yields, reducing and optimizing costs and supply chains.

The manufacturer thus has broad visibility into every single aspect of the plant and production processes, achieving an unprecedented level of optimization and efficiency.

This is all part of a larger revolution known as Industry 4.0, which is still ongoing and will evolve as technologies evolve.

The benefits of analytics for the manufacturing industry

Now you can be more aware of what is happening in the factory!


Increase line and plant productivity by identifying improvement points in your supply chain.


Better understand your all-around costs of labor, materials, overhead and abnormal.


Achieve your success metrics more easily and keep an eye on them at all times in dedicated dashboards.


Analyze supply chain performance and find out where you can optimize it.


Immediately identify the line or machinery causing the defects to decrease complaints and retain your customers.


Identify stressed, unsafe, or unsaturated labor areas and find the balance that works for your factory.

What problems do Manufacturing Analytics solutions solve? Many. Let's look at the ones most valued:



Measures OEE (Operational Equipment Effectiveness) for a machine, plant or the factory as a whole by collecting data from operators and/or machines through sensors already placed in the devices. It identifies and measures the times of least activity, interruptions and slowdowns and evaluates the performance of the industrial process.



Collect data directly from gauges or other tools to automate the process of identifying rejects. Through the use of algorithms in the system, deviation trends from set quality specifications can be identified, alert the quality team and correct the error even preemptively.



Get information on each production station or the line as a whole within a single dashboard in order to improve operations, identify downtime, track units produced.



Alleviate The costs associated with machinery maintenance costs by analyzing parameters such as: uptime and downtime, frequency in which failures occur, mean time between failure (MTBF) and repair (MTTR), stock of spare parts in inventory, and repair success rate.



Collecting data is simple, but how do you make sense of it? You can consolidate and synthesize huge amounts of data into easy-to-understand, real-time metrics by combining them into standard dashboard components to help you understand what’s going on. Dashboards provide role-based access to data so that users see only what is important to them and are not distracted by other unhelpful metrics.

Artificial Intelligence in the service of factory analytics

The evolution of Big Data Analytics and Industrial IoT solutions and the advent of Artificial Intelligence have caused Manufacturing Analytics to evolve quickly. It is now possible, through the use of Machine Learning algorithms, to produce reports that automatically highlight parameters and anomalies to stakeholders, facilitating action and information sharing.

This new way of interacting with factory data, helps the manufacturer to change paradigm; moving from anurgent management to a proactive and preventive one.

Our experience through success stories:

Production Data Analysis: Manufacturing Analytics for Brovedani
Real-time Analysis of the Production Process for Breton-Lapitec
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