Every day, 2.5 quintillion bits of data are created. Making sense of the data is a big challenge. Business leaders must have the right tools in order to make informed decisions that will result in success and growth. Sharing data can help reduce silos, boost productivity, speed up time to insight, and cut down the time required to analyze.
However, it isn’t enough to just have a reason to share data: you must also have a clear concept of the outcomes you want to achieve. According to the Gartner Sixth Annual Chief Data Officer Survey (PDF) the companies who are successful in promoting sharing data can provide 1.7 times the value of their competitors.
The second meta-dimension is interpretability. It refers to how easily a piece of information can be understood. This may vary based on the theme or pattern of B2G data-sharing. For instance when working with sensitive data, it’s more crucial to have a high level of interpretation than when trying to monitor an event in the present and accuracy could take priority over timeliness.
Continuity refers to a data-sharing system’s ability to ensure that information flows uninterrupted. Depending on the theme and pattern of a particular scenario it can be of varying levels of importance. For instance, in the context Dataroom opzetten of monitoring a phenomenon for a long period of time, continuity is essential for monitoring, while in research it may not be as important. In both instances, it is advisable to include an indicator on this aspect in the creation of the taxonomy.
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