To collect data from a variety of IoT devices, sensors, and enterprise applications. Our Delpheon based solutions are scalable and capable of handling large volumes of structured and unstructured data in real-time.
A wide range of industrial equipment, sensors, and systems, collecting data from multiple sources in real time.
Integration of legacy machines, modern smart machines & devices - Our platform ensures smooth and reliable integration of heterogenic machines and devices for data acquisition.
We can collect data from multiple sources - Sensors, Devices, Machines, PLCs, SCADA systems, Enterprise application, HMI devices so on.
The process of collecting and consolidating data from multiple sources into a centralized cloud environment.
With Enterprise applications and systems for data gathering.
We create customizable dashboards to provide a unified view of your data, empowering decision-makers with visualizations & insights tailored to their specific needs.
Facilitate real-time monitoring, historical trend analysis, or predictive insights through tailored display of most relevant metrics and KPIs.
They are accessible from anywhere, anytime through the companion cloud and Mobile apps.
The immediate representation of data as it is collected, allowing users to monitor and analyze dynamic information in real-time by transforming raw data into interactive graphs, charts, and dashboards that update continuously, offering actionable insights as events unfold.
These technologies enable automated data analysis without manual intervention, identifying patterns, trends, and correlations that might be too complex for traditional methods.
User role-based permissions to access the data and receive automated alerts.
We enhance your dashboarding experience by integrating predictive analytics tools. These insights help you anticipate future outcomes, optimize operations, and improve strategic planning.
A proactive approach that uses data-driven techniques to monitor equipment performance and predict potential failures before they occur, allowing companies to perform maintenance only when needed, minimizing downtime and reducing maintenance costs.
The identification of unusual patterns or behaviors in data that do not conform to expected norms, and is widely used in areas like cybersecurity, manufacturing, healthcare, and finance.
The process of generating reports with minimal human intervention using software tools and data-driven technologies to automate the collection, analysis, and presentation of data, transforming it into structured reports, charts, or dashboards.
Involve examining historical data to identify patterns and predict future outcomes by combining statistical methods, data analytics, and often machine learning algorithms to project future scenarios based on the observed patterns.
Typical industry Use cases for dashboarding solution are:
Monitor production lines, track machine health, and optimize resources with real-time operational data.
Collect patient data from connected devices and visualize key health metrics for better clinical decision-making.
Monitor energy consumption, detect faults, and manage infrastructure with data-driven insights.
Track environmental conditions, optimize traffic flow, and manage smart grids through real-time dashboards.
Enable real-time tracking of shipments and monitor fleet performance to streamline logistics operations.
Unlock real-time insights with seamless data aggregation and data analyis, where Gadgeon
empowers you to make smarter, faster decisions with clear and intuitive dashboards!
For writing scripts to automate data collection, integration, and transformation processes.
Essential for querying and aggregating data from databases, both relational (like MySQL or PostgreSQL) and non-relational (like MongoDB).
Used in creating dynamic web-based dashboards using frameworks such as React.js or Vue.js for front-end data visualization.
For statistical analysis and data aggregation, especially when performing advanced analytics.
Utilized for server-side data collection, enabling smooth interaction between data sources and dashboard interfaces.
A widely used tool for building interactive dashboards and aggregating data from multiple sources (e.g., cloud, databases, and APIs).
Known for its strong data visualization capabilities and easy integration with numerous data sources.
Gadgeon's own IIoT platform has built-in libraries and wizards to create dashboards quickly and efficiently using drag and drop.
Ensure data from different sources is normalized and standardized during the aggregation process.
Use tools like Talend or ETL scripts to clean and preprocess raw data before aggregation, removing redundancies and inaccuracies.
Implement cloud-based solutions such as Delpheon, or AWS or Azure to manage growing data volumes.
Ensure that data aggregation follows GDPR or other relevant regulations.
For dashboards, it's crucial to integrate real-time data streams.
Focus on clarity and simplicity when creating dashboards, ensuring that users can quickly derive insights with minimal effort.
Empower your business to gain a competitive edge with
insights that drive smarter decisions.