Data observability is an important term in the areas of big data and smart data, cybercrime and cybersecurity as well as digital transformation. It describes the ability to track the flow and status of data in digital systems at any time. This helps companies to quickly recognise and rectify faults and errors.
In the digital age, in which enormous amounts of data are processed, it is particularly important to maintain an overview at all times. Data observability makes it possible to see exactly where data is generated, how it moves through the systems and where there may be problems.
A simple example: In an online shop, customer data is collected and orders are processed. If a problem occurs during the process, for example during the payment process, data observability helps to quickly find the cause - it is possible to trace exactly where data has become "stuck" or an error has occurred.
Data observability ensures that digital processes are transparent and that companies can react more quickly to problems. This makes digital processes more secure and efficient.
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