The importance of data management in the IoT era
The complexity of an IoT integration project resides in several key aspects: device selection, integration of these devices for data collection and remote control, raw data processing, as well as the creation and development of business applications to leverage and monetize relevant data. Each device must be configured and monitored to ensure smooth and reliable communication. Data collection requires robust protocols to ensure the integrity and security of transmitted information. Data processing involves sophisticated algorithms to transform raw data into actionable information. The utility of data management becomes evident, as it enables collecting data from different protocols, applying an initial process and enriching useful data for business applications. Thanks to a unique GetWay portal, all these operations can be monitored and optimized from an intuitive interface, making decision-making and innovation easier to achieve within the organization.
At the SIDO fair in Lyon, Objenious showcased a demo illustrating the “simple” journey of IoT data through an aquarium equipped with sensors measuring various parameters such as temperature, water level, pH, and CO₂ levels. This data, collected in real-time via Bouygues Telecom’s NB-IoT network, is transmitted to Objenious’ GetWay IoT platform. This platform converts the raw data into actionable information presented in the form of numeric values and graphs, allowing for proactive monitoring and alerts in case of anomalies.
Customized solutions for simplified data management
Through its Data Management offering, Objenious offers complete support for data management, facilitating its collection, initial processing, and data enrichment according to specific customer demands. This allows companies to focus on their specific business applications, receiving relevant information ready to be exploited without worrying about the complexity of data management. This approach includes sensor parameterization according to the organization’s strategic needs, allowing for real-time data transmission at regular intervals or only when predefined thresholds are exceeded. For example, in a classroom equipped with CO₂ detectors, an alert can be triggered to ventilate the room when the CO₂ level reaches a certain threshold, ensuring a healthy environment for the occupants.
Towards optimal data exploitation for a competitive advantage
Efficient integration of analytical data within the company not only improves the customer experience but also saves time and accelerates time-to-market.
Data management is emerging as an essential tool for companies looking to optimize the use of their IoT data. With appropriate solutions, it is possible to transform raw data into strategic information, making decision-making and innovation easier within the organization.
