Damien Jap
May 214 min
Do you know more than 90% of organisations face challenges of extracting value from IoT Data?
Data is all around us, regardless of whether we are aware of it or not. From familiar concepts like the weather (temperature data) to more abstract concepts such as turbidity, the sea of raw IoT data serves as the foundation of practical analysis for boosting the industrial operations across the globals, orchestrating the remote monitoring systems across critical applications such as:
Performance monitoring: the sensor data can reveal and identify bottlenecks in a system, which organisations can act on to improve operational efficiency.
Quality control: the real-time monitoring feature of the sensors mean any unexpected behaviour of the readings can be identified by organisations and prompt corrective actions to ensure quality is up to standard
Safety and compliance: automatic data collection without human operation means not only can costs be reduced but also environmental conditions can be constantly monitored to prevent accidents, mitigate risks and maintain a safe workplace.
Predictive maintenance: by analysing IoT sensor data, we can identify trends indicating equipment degradation or near end-of-life. This facilitates proactive maintenance to reduce downtime and improve productivity.
Valuable for all industrial applications: including agriculture, mining and construction, water and wastewater, etc
When it comes to IoT sensors, data is the essence of its functionality and everywhere, data is constantly being sensed and transmitted as readings, allowing decisions to be made on them. This is the key to improving cost savings for businesses. The ability of these IoT devices to have 24/7 operation in the background means we can be confident that we will not miss critical information that requires action and the data will be easily accessible at your fingertips.
The market for IoT solutions are growing quicker than anyone could image, rising to an estimated economic value between $2.8 trillion to $6.3 trillion by the year of 2025. For every second, 127 new IoT devices are connected to the Internet, joining billions of devices that are commanded to benefit our societies.
In this era of data collection, the real challenge then becomes how to convert this data into insightful and valuable decision making for different industrial processes. A staggering 97% of organisations encounter challenges in effectively leveraging IoT-generated data to create value.
This wealth of data often overwhelms organisations, leaving them in need of assistance to decipher it and extract actionable insights. Alarmingly, a significant portion (39%) of businesses struggle to extract or analyse data within their own networks, overlooking valuable opportunities to enhance their decision-making processes.
Data Variety and Complexity: IoT data can come in various technical parameters (e.g., pressure, level, temperature, flow metering, distance, water quality, moisture, load and strain) from different sensors, making it challenging to create a unified picture that integrates these different data types effectively.
Large Volumes of Data: The sheer volume of data generated by countless IoT devices can overwhelm traditional visualisation tools, potentially losing insights in the overwhelming data stream.
Oversimplification of Data: Simplifying complex IoT data for visualisation can distort the bigger picture if crucial details are omitted. Striking the right balance between conciseness and accuracy is crucial to avoid misleading interpretations.
Differences in Network Connectivity: Different types of internet connectivity, such as LPWAN, WiFi, and cellular networks, present specific challenges for processing and deriving insights from IoT data, requiring extensive interoperability to combine the results of reliable and efficient data transmission and analysis in IoT applications.
Lack of Real-Time Monitoring and Analysis: The ability to visualise IoT data in real-time is crucial for identifying patterns, trends, and anomalies quickly. However, this requires sophisticated tools and techniques that can handle the complexity and volume of data in real-time
At Ellenex, we emphasis on the value conversions for our end-to-end IoT solutions across all major industries, serving products and software platforms that are customer-centric, benefiting our end users with true scalability and profitability.
Valuing your modularity and integratability, we differentiate our IoT solutions in the realm of Low Power Wide Area Network (LPWAN) technologies, channeling your reliable and technical parameters into our software products. Pre-configuring and customise your raw data into valuable insights, providing clear visualisations that are user-friendly to our industrial end clients.
You can view different parameters against time on the graph by selecting the parameter you want in the filter section and applying your selections. Useful features included are:
Granularity - the date selection for your data allows you to be as specific or as broad as you want with the data visualisation
Customisation - you can choose what type of data you want displayed, i.e. calculated parameters such as mean, max, min for a specified regular time interval.
Multi-parameters - display multiple graphs simultaneously, on top of each other to easily compare and get a sense of the data the way you want.
Self-defined Calculated Parameters - We support calibration of your technical datas that is suitable to your own business operations, providing insights that are valuable towards your decision-makings.
Experience the full power of your IoT data with Ellenex's cutting-edge software platform, seamlessly integrated with our high-performance IoT products. Unlock economic value and automotive efficiency for your business through our API Integration service, ensuring secure data integration with customisable technical readings in both raw and aggregated formats, supported by robust API key-based authentication.
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