Six Steps to Continuous Intelligence

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Mitu9900
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Joined: Thu Dec 26, 2024 9:19 am

Six Steps to Continuous Intelligence

Post by Mitu9900 »

A typical implementation process for Continuous Intelligence might consist of six steps and look like this:

Data generation: A JSON generator is used to create JSON documents for typical database transactions.
Import into the database: These JSON documents are loaded into the database cluster.
Generation and testing of the dataset: The JSON documents are tested with a replica of the dataset defined there.
Setting up the connection with the BI or Big Data tool: When configuring the connection between the database and the BI tool, it is essential that the tool correctly understands the database's REST calls.
Importing data from the database into the tool: The BI tool interacts with the database via the corresponding standard driver and takes over austria telegram screening the data input.
Setting up the dashboards and ML support in the tool: In the last step, the dashboards are created and the ML models are defined.
From this point on, the BI/analytics engine and the database platform jointly analyze the data streams and generate real-time analyses with predictive capabilities. The advantages for decision-making and support resulting from this analytical overview of historical, current and future data allow the justified conclusion that the Gartner forecast will not only be met, but will probably even be exceeded. A forecast updated with the help of Continuous Intelligence would confirm this with a high degree of probability.
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