There are 2.5 quintillion bytes of data that are created every day, but making sense of all this data is difficult. Business leaders need the right tools to make informed decisions that will lead to growth and success. Sharing data can help to reduce silos, boost productivity and speed up time to insight.
It’s not enough to have a solid purpose for sharing data. You must also know what you’re looking to accomplish. According to the Sixth Annual Gartner Chief Data Officer Survey companies that have succeeded in encouraging data sharing deliver 1.7 times more value than their peers.
The second meta-dimension is interpretability. This refers to how well a piece of information can be understood. This varies based on a particular theme or pattern of B2G data sharing. For example when working with sensitive data, it’s important to have a high level of interpretation than when trying to monitor a phenomenon in time where accuracy may be more important than timeliness.
Continuity refers specifically to a B2G data-sharing system’s ability to ensure that information flows continuously. It can be of different importance based on the theme or nature of the situation. For instance continuity is a crucial factor in the case where you are observing a phenomenon for a long time. However, it’s not as crucial in research. In both cases it is recommended to include a metric on this aspect when building the taxonomy.