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.