The data stream can come from a relational SQL database, which is still frequently used in production plants, and be fed into the analysis database. However, the ideal - and technically possible - is a database platform that combines the capabilities of SQL, NoSQL and cloud databases under one roof, has the necessary extensions for edge computing and in which the analysis functions are seamlessly integrated. This minimizes interfaces, latencies and possible transfer errors.
This does not make traditional BI tools or big data platforms such as Tableau , MicroStrategy , Qlik Sense or Splunk redundant. In their function as query layers, with Continuous Intelligence, the SQL queries generated in the respective tool are no longer sent to a data warehouse, but rather as select statements directly to the database and executed there. As visualization layers, they austria telegram screening also continue to provide the graphical representation of the data that was also analyzed directly in the database and is supplied from there. This greatly simplifies and speeds up the process of analysis and its implementation into decision-supporting information. The BI highway becomes a CI highway.
In addition to this acceleration of data stream analysis, artificial intelligence enriches the existing capabilities and possibilities of BI processes. While real-time analytics expands the analytical view back to historical data in real time to include a view of current data, AI can provide a look ahead to the expected future and derived forecasts of future behavior. Predictive analytics is therefore the second important building block of continuous intelligence.