No matter the technologies, Opisense can connect to your data
Most of the time, data exists, but in different silos and systems, or coming from different sources and in different formats. Opisense complies with a lot of different protocols, IoT devices and technologies to facilitate data ingestion:
- Rest API
- Or manual load
Opisense also expose set of public data such as official weather information, Entso-e Data, Energy Market Price, Energy Prices, Imbalance Data, etc.
Process data thanks to calculations
Through calculated variables, user can inject complex machine learning algorithm written in R or Python into the platform. Opisense executes these algorithms, maintains and stores the output results in new variables accessible for further interpretation in the analytics module.
Input for these algorithms can be set as other variables, properties (meta-data), or constant values.
Always full data
Data Quality is the core concept of good analytics. Opisense constantly browse your data to check for any data gaps or/and outliers that could point out issues in the data collection process. Through advanced filtering options, user can visualize data quality issues and apply existing or custom algorithms to reshape the data, and make them available and usable in further processing steps.
All data sets are versioned to make sure you can restore data in case of wrong reconstruction.
Opisense exposes a set of contextual information to describe and define the data source, such as site information, sources description and variables meta data. The definition of these sets are completely customizable within the platform. Properties of the different sets can be added on the fly and be used as an input for new analytics.
Opisense can easily be integrated with external Business Intelligence solutions.
Opinum and the extensive network of Integration Partners provide a wide range of professional services that can assist you with the design, development, and deployment of the Opisense solution. From setup within your own infrastructure to integration with market known solutions (Power BI, Tableau, Qlik and ERP systems).