The amount of data produced and acquired is often greater than what is actually needed for the analysis. Therefore, it’s important to decide which data is relevant to keep and how long to store it. With an infinite hoard of data, it’s much more difficult and less efficient to identify the useful part. Added security and regulatory measures for redundant data make efficient filtering even more crucial.
There is a need to collect and store accurate and consistent data: in other words, data integrity. A compelling amount of data can still be corrupt and useless for users, or dangerous for patients. This possibility cannot be neglected. For example, many users of fitness monitoring bracelets complain about inaccurate data output such as their heart rate measurement being off by tens of beats.