Data analysis is defined by a set of actions that involve inspecting, cleaning and transforming data into useful, actionable and understandable information, with the objective of reaching valuable conclusions to make better decisions.
Business activity never stops, the volume of new processes and data is exponential and it can be difficult to visualize trends or identify points of improvement without an effective system.
For this reason, the application of Big Data technologies is of vital importance, since they allow monitoring and managing large amounts of data in an optimal way, reducing efforts for those responsible for dealing with the information within the company.
The goal, therefore, lies in efficiently maximizing industrial processes in order to capture and process valuable information and achieve a "Smart" industry.
Why is data analysis key for a company?
Currently, a continuous flow of data is generated from all the machines, processes and people that make up the production process of any company. It is a challenge to be able to channel, manage and understand all this crossed information. The key to understanding the reality of what is happening is to have digital solutions that analyze this data.
We already know that data analysis gives you objective information about how a company works. This is probably the most obvious explanation, but there is still a lack of knowledge on the part of industrial companies about the advantages and capabilities of good data control and analysis.
Data brings to the table the reality of what is happening in a business, and having this clear information is the first step to be able to act and optimize what is necessary. You cannot improve what you do not understand, and for this it is necessary to understand the different types of data analysis that can be used in any company.
Types of data analysis
We can divide data analysis into four types:
How data improves industrial performance
Data analytics can help you redefine priorities that will make your business more efficient. Today, companies are embracing digitization as new technologies enable automation and process control in a much more accurate way.
The main benefits of using data analytics in industrial performance are:
Process optimization.
Artificial Intelligence (AI) applied to industry provides much more accurate quality controls. A data analysis in the manufacturing process, allows to identify areas for improvement in a comprehensive way. For this, analytics must be transversal to everyone in the organization. Better production means a higher quality end product and optimized costs.
Reducing waste
By applying Machine Learning (a part of Artificial Intelligence), we can control manufacturing outputs, increasing quality standards and detecting errors quickly, which will have an impact on reducing waste and costs.
Avoid operational paralysis and/or downtime.
In relation to the above, data analysis through an Intelligent SCADA system, allows to control the continuous work flow of each machine, knowing the efficiency of the assets in real time, so it will be very easy from a global perspective to control downtime, as well as optimal performance.
Supply chain automation
Implementing automation solutions and digital procedures in the supply chain is beneficial to increase warehouse productivity, increase visibility of supply chain participants and ensure constant and real-time inventory control during logistics operations.
Predictive maintenance
Predictive maintenance allows non-destructive measurements to understand the performance of machines and equipment in order to predict potential failures and optimize their operation. This increases the useful life of machines by detecting potential incidents before they occur, reducing repair or replacement costs and optimizing production performance. Thus, identifying deviations in the process that may alter the performance of the machinery.
Constant monitoring through KPIs or key indicators.
All of the above would be meaningless without the measurement through KPIs or key indicators previously set by the company's management. Performance metrics are much easier to monitor with a 360º analysis tool. Digitization makes it possible to accurately track the performance of human resources, assets, quantity and quality of outputs employed, operations, inventory, etc. Even interact with the different parts of the manufacturing process.
Nexus Integra: the platform that turns data into decision making power
Nexus Integra is an integrated operations platform that will allow you to optimize your industrial processes and increase the profitability of your business.
It features direct management capabilities against plant assets and real-time data processing and analysis from a single interface.
The platform is built to adapt to the specific needs of each environment so it can be implemented in any sector and environment.
What makes Nexus Integra unique?
Business activity never stops, the volume of new processes and data is exponential and it can be difficult to visualize trends or identify points of improvement without an effective system.
For this reason, the application of Big Data technologies is of vital importance, since they allow monitoring and managing large amounts of data in an optimal way, reducing efforts for those responsible for dealing with the information within the company.
The goal, therefore, lies in efficiently maximizing industrial processes in order to capture and process valuable information and achieve a "Smart" industry.
Why is data analysis key for a company?
Currently, a continuous flow of data is generated from all the machines, processes and people that make up the production process of any company. It is a challenge to be able to channel, manage and understand all this crossed information. The key to understanding the reality of what is happening is to have digital solutions that analyze this data.
We already know that data analysis gives you objective information about how a company works. This is probably the most obvious explanation, but there is still a lack of knowledge on the part of industrial companies about the advantages and capabilities of good data control and analysis.
Data brings to the table the reality of what is happening in a business, and having this clear information is the first step to be able to act and optimize what is necessary. You cannot improve what you do not understand, and for this it is necessary to understand the different types of data analysis that can be used in any company.
Types of data analysis
We can divide data analysis into four types:
- Descriptive analysis, which focuses on describing what has happened in a given period.
- Diagnostic analysis, which focuses more on the reason why something happened.
- Predictive analytics which focuses on what is likely to happen in the short term.
- Finally, prescriptive analytics that suggests a course of action by making use of deeper artificial intelligence and manages to suggest actions to take before events occur.
How data improves industrial performance
Data analytics can help you redefine priorities that will make your business more efficient. Today, companies are embracing digitization as new technologies enable automation and process control in a much more accurate way.
The main benefits of using data analytics in industrial performance are:
Process optimization.
Artificial Intelligence (AI) applied to industry provides much more accurate quality controls. A data analysis in the manufacturing process, allows to identify areas for improvement in a comprehensive way. For this, analytics must be transversal to everyone in the organization. Better production means a higher quality end product and optimized costs.
Reducing waste
By applying Machine Learning (a part of Artificial Intelligence), we can control manufacturing outputs, increasing quality standards and detecting errors quickly, which will have an impact on reducing waste and costs.
Avoid operational paralysis and/or downtime.
In relation to the above, data analysis through an Intelligent SCADA system, allows to control the continuous work flow of each machine, knowing the efficiency of the assets in real time, so it will be very easy from a global perspective to control downtime, as well as optimal performance.
Supply chain automation
Implementing automation solutions and digital procedures in the supply chain is beneficial to increase warehouse productivity, increase visibility of supply chain participants and ensure constant and real-time inventory control during logistics operations.
Predictive maintenance
Predictive maintenance allows non-destructive measurements to understand the performance of machines and equipment in order to predict potential failures and optimize their operation. This increases the useful life of machines by detecting potential incidents before they occur, reducing repair or replacement costs and optimizing production performance. Thus, identifying deviations in the process that may alter the performance of the machinery.
Constant monitoring through KPIs or key indicators.
All of the above would be meaningless without the measurement through KPIs or key indicators previously set by the company's management. Performance metrics are much easier to monitor with a 360º analysis tool. Digitization makes it possible to accurately track the performance of human resources, assets, quantity and quality of outputs employed, operations, inventory, etc. Even interact with the different parts of the manufacturing process.
Nexus Integra: the platform that turns data into decision making power
Nexus Integra is an integrated operations platform that will allow you to optimize your industrial processes and increase the profitability of your business.
It features direct management capabilities against plant assets and real-time data processing and analysis from a single interface.
The platform is built to adapt to the specific needs of each environment so it can be implemented in any sector and environment.
What makes Nexus Integra unique?
- Interoperable with equipment, sensors and applications.
- 100% customizable by the client, a solution tailored to your company and according to the sector.
- Unify and standardize your business information.
- Reduced maintenance and production costs.
- Scalable: facilities, data and users.
- Global: control of dispersed installations.
- Real-time and historical visualization.
- Versatile: applicable in any sector.