Data sources

The platform supports capturing and using data regarding grid topology, metering, and events on the infrastructure:

Efficient use

The data stored in Athena Analytics data warehouse can be used for:

Reports
Visualizations
Asset health index data (e.g. transformed load)
Web-service based access

Data export to external systems (e.g. ADMS)
Bulk data export (e.g. CSV)
Regulatory reporting
Self-service reporting

Advanced Analytics

Advanced analytics provides deeper and more detailed insights into all types of data and content, using advanced techniques and tools, that go beyond traditional analytical procedures. It includes areas such as data/text mining, machine learning, pattern matching, prediction, visualization, semantic analysis, sensory analysis, network and cluster analysis, multivariate statistics, graph analysis, simulation, complex event processing and neural networks.

The field of advanced analytics alone cannot be considered on its own, as the field is highly dependent on data collection and management, as well as on a specific industry. Within advanced analytics, several other areas and technologies are emerging, which also need to be considered in development. These areas are:

Data management with a full set of technologies for BigData management (NoSQL, BigData, Data Lake, ELT/ETL, IoT...),
Data visualization with the help of BI tools,
Data mining with advanced analysis techniques
Implementing advanced analytics using artificial intelligence and machine learning.