The Future of Business is Data-Driven.
Harnessing the Power of Analytics to Drive Innovation and Growth.
The Future of Business is
Data-Driven.
Harnessing the Power of Analytics to
Drive Innovation and Growth.
The Future of Business is
Data-Driven.
Harnessing the Power of Analytics to Drive Innovation and Growth.
i-Penta's Analytics System
Analytics
Analytics is a critical component of modern manufacturing and factory operations. It involves collecting, processing, and analyzing data to gain insights into production processes, identify areas for improvement, and optimize performance.
By leveraging analytics, manufacturers can make data-driven decisions, improve quality, reduce costs, and increase overall efficiency. However, implementing an effective analytics system can be challenging, especially for small to medium-sized enterprises.
Therefore, i-Penta’s analytics system is here to provide a comprehensive solution that simplifies the analytics process and delivers valuable insights to businesses in the manufacturing and factory industry.
Introduction
i-Penta’s analytics system is a powerful tool that provides valuable insights into the manufacturing and factory operations. You can monitor production processes in real-time, collect data, and generate reports to make informed decisions.
Ultimately, the analytics system is an integral part of i-Penta’s platform, providing you with a complete suite of tools and solutions for your business needs.
i-Penta's Analytics System
Analytics
Analytics is a critical component of modern manufacturing and factory operations. It involves collecting, processing, and analyzing data to gain insights into production processes, identify areas for improvement, and optimize performance.
By leveraging analytics, manufacturers can make data-driven decisions, improve quality, reduce costs, and increase overall efficiency. However, implementing an effective analytics system can be challenging, especially for small to medium-sized enterprises.
Therefore, i-Penta’s analytics system is here to provide a comprehensive solution that simplifies the analytics process and delivers valuable insights to businesses in the manufacturing and factory industry.
Introduction
i-Penta’s analytics system is a powerful tool that provides valuable insights into the manufacturing and factory operations. You can monitor production processes in real-time, collect data, and generate reports to make informed decisions.
Ultimately, the analytics system is an integral part of i-Penta’s platform, providing you with a complete suite of tools and solutions for your business needs.
i-Penta's Analytics System
Analytics
Analytics is a critical component of modern manufacturing and factory operations. It involves collecting, processing, and analyzing data to gain insights into production processes, identify areas for improvement, and optimize performance.
By leveraging analytics, manufacturers can make data-driven decisions, improve quality, reduce costs, and increase overall efficiency. However, implementing an effective analytics system can be challenging, especially for small to medium-sized enterprises.
Therefore, i-Penta’s analytics system is here to provide a comprehensive solution that simplifies the analytics process and delivers valuable insights to businesses in the manufacturing and factory industry.
Introduction
i-Penta’s analytics system is a powerful tool that provides valuable insights into the manufacturing and factory operations. You can monitor production processes in real-time, collect data, and generate reports to make informed decisions.
Ultimately, the analytics system is an integral part of i-Penta’s platform, providing you with a complete suite of tools and solutions for your business needs.
Challenges on Analytics
Bad Quality Control
Unable to ensure products meet quality standards.
Resource Inefficiency
Result in wasteful resource consumption and inefficiency.
Poor Data Management
Large volumes of data generated, and it is not stored and categorized correctly.
High Insecurity
Unable to foresee the future of data to make preparation before system crashing.
Challenges on Analytics
Bad Quality Control
Unable to ensure products meet quality standards.
Resource Inefficiency
Result in wasteful resource consumption and inefficiency.
Poor Data Management
Large volumes of data generated, and it is not stored and categorized correctly.
High Insecurity
Unable to foresee the future of data to make preparation before system crashing.
Challenges on Analytics
Bad Quality Control
Unable to ensure products meet quality standards.
Resource Inefficiency
Result in wasteful resource consumption and inefficiency.
Poor Data Management
Large volumes of data generated, and it is not stored and categorized correctly.
High Insecurity
Unable to foresee the future of data to make preparation before system crashing.
Our Solutions
How i-Penta’s Analytics System Solves The Challenges
Data Source Selection
Provide data source from different systems or connect data, then analyze it based on user preference.
Various Analytic Tools
Provide tools on analyzing the data like anomalies and setting threshold to address the quality issues.
Resource Optimization
Data analyzed can be used for improvement and optimize resource consumption.
Predictive Analytics
Able to predict the trend of data to improve the performance and avoid any errors on the system.
Our Solutions
How i-Penta’s Analytics System Solves The Challenges
Data Source Selection
Provide data source from different systems or connect data, then analyze it based on user preference.
Various Analytic Tools
Provide tools on analyzing the data like anomalies and setting threshold to address the quality issues.
Resource Optimization
Data analyzed can be used for improvement and optimize resource consumption.
Predictive Analytics
Able to predict the trend of data to improve the performance and avoid any errors on the system.
Our Solutions
How i-Penta’s Analytics System Solves The Challenges
Data Source Selection
Provide data source from different systems or connect data, then analyze it based on user preference.
Various Analytic Tools
Provide tools on analyzing the data like anomalies and setting threshold to address the quality issues.
Resource Optimization
Data analyzed can be used for improvement and optimize resource consumption.
Predictive Analytics
Able to predict the trend of data to improve the performance and avoid any errors on the system.
Benefits of i-Penta's Analytics System
Improve Decision Making
Identify data trend and look for opportunities to improve, optimize operations and increase revenue.
Better Resource Allocation
Optimize product, target the most important segments, and reduce costs.
Increase Efficiency
Streamline operations, reduce waste, and increase productivity.
Better Risk Management
Provide insights into potential risks and make informed decisions to minimize the impact of risks.
Benefits of i-Penta's Analytics System
Increase Efficiency
Streamline operations, reduce waste, and increase productivity.
Improve Decision Making
Identify data trend and look for opportunities to improve, optimize operations and increase revenue.
Better Resource Allocation
Optimize product, target the most important segments, and reduce costs.
Better Risk Management
Provide insights into potential risks and make informed decisions to minimize the impact of risks.
Benefits of i-Penta's Analytics System
Improve Decision Making
Identify data trend and look for opportunities to improve, optimize operations and increase revenue.
Better Resource Allocation
Optimize product, target the most important segments, and reduce costs.
Increase Efficiency
Streamline operations, reduce waste, and increase productivity.
Better Risk Management
Provide insights into potential risks and make informed decisions to minimize the impact of risks.
Features
Data Source Selection
Users able to select and connect to various data sources like the data from i-Penta’s IIoT system or MES, importing Excel file, self-created dataset, and others.
Data Exploration
Users can explore trends and patterns in datasets to gain insights and ideas. Statistical functions and arithmetic calculations can be applied.
Data Preparation
The dataset can be prepped here and serve as data source for various processes. It can also be used for supervised machine learning by splitting.
Real-time Data Visualization
Real-time data is analyzed and displayed in different views like graph, dashboard, etc. To share, users can publish the views using a Uniform Resource Locator (URL).
Data Modeling
Users can select machine learning algorithms for datasets and get suggested interpretation based on results.
Data Solution Template
Provide pre-built templates for common use cases, making it easier to get started with analyzing data.
Report Module
Allows users to create reports and visualizations to better understand their data and share insights.
Schedule Module
Enables users to schedule and automate data processing and analysis. This saves time and increases efficiency.
Features
Data Exploration
Users can explore trends and patterns in datasets to gain insights and ideas. Statistical functions and arithmetic calculations can be applied.
Data Preparation
The dataset can be prepped here and serve as data source for various processes. It can also be used for supervised machine learning by splitting.
Data Modeling
Users can select machine learning algorithms for datasets and get suggested interpretation based on results.
Data Source
Selection
Users able to select and connect to various data sources like the data from i-Penta’s IIoT system or MES, importing Excel file, self-created dataset, and others.
Real-time Data Visualization
Real-time data is analyzed and displayed in different views like graph, dashboard, etc. To share, users can publish the views using a Uniform Resource Locator (URL).
Data Solution Template
Provide pre-built templates for common use cases, making it easier to get started with analyzing data.
Report Module
Allows users to create reports and visualizations to better understand their data and share insights.
Schedule Module
Enables users to schedule and automate data processing and analysis. This saves time and increases efficiency.
Features
Data Source Selection
Users able to select and connect to various data sources like the data from i-Penta’s IIoT system or MES, importing Excel file, self-created dataset, and others.
Data Exploration
Users can explore trends and patterns in datasets to gain insights and ideas. Statistical functions and arithmetic calculations can be applied.
Data Preparation
The dataset can be prepped here and serve as data source for various processes. It can also be used for supervised machine learning by splitting.
Real-time Data Visualization
Real-time data is analyzed and displayed in different views like graph, dashboard, etc. To share, users can publish the views using a Uniform Resource Locator (URL).
Data Modeling
Users can select machine learning algorithms for datasets and get suggested interpretation based on results.
Data Solution Template
Provide pre-built templates for common use cases, making it easier to get started with analyzing data.
Report Module
Allows users to create reports and visualizations to better understand their data and share insights.
Schedule Module
Enables users to schedule and automate data processing and analysis. This saves time and increases efficiency.
Transformation Process of
i-Penta’s Analytics System
01
Data Source Selection (Create, import and connect data)
02
Data Preparation
- Prepare Final Dataset
- Splitting of Dataset
Data Exploration
- Explore Trend and Pattern of Dataset
Data Modeling
- Machine Learning Algorithm
Data Visualization
- Data Presentation
Data Solution Template
- Data Package
Transformation Process of
i-Penta's Analytics System
01
Data Source Selection (Create, import and connect data)
02
Data Preparation
- Prepare Final Dataset
- Splitting of Dataset
Data Exploration
- Explore Trend and Pattern of Dataset
Data Modeling
- Machine Learning Algorithm
Data Visualization
- Data Presentation
Data Solution Template
- Data Package
Transformation Process of
i-Penta’s Analytics System
01
Data Source Selection (Create, import and connect data)
02
Data Preparation
- Prepare Final Dataset
- Splitting of Dataset
Data Exploration
- Explore Trend and Pattern of Dataset
Data Modeling
- Machine Learning Algorithm
Data Visualization
- Data Presentation
Data Solution Template
- Data Package
Automate your management today!
Take control of your system with our user-friendly
All-In-One platform.
Automate your management today!
Take control of your system with our user-friendly All-In-One platform.
Transform and automate your business with i-Penta today to add more value to your organisation.