Post by account_disabled on Dec 3, 2023 22:32:02 GMT -5
Without a doubt, the answer is “yes”. First of all, failure to manage dark data creates legal, security and compliance risks. The situation could become complex, for example, if a company, subject to legal proceedings, must access this data as part of an exchange of elements and evidence with all parties.
Furthermore, not having access to dark data can lead decision-makers and members of the management committee to make bad decisions for the company. Another element to take into Country Email List account is that there may be a significant waste of resources. This can effectively result in a loss of employee productivity (search time to obtain the necessary information) or increasing storage costs for hidden and therefore unused data. The final problem is that dark data contributes to maintaining corporate data silos.
In this regard, the major objective must be to discover dark data so that it can be classified and managed appropriately, and potentially analyzed to serve the company's business intelligence. One of the key things to look at is knowing where each dark data silo comes from, and identifying the processes and tools that can help prevent this from happening again.
Companies can take a proactive approach to reduce the expansion of this type of data , by creating safeguard policies for employees, training them regularly on these policies – especially when there are developments or new recruits. Audits can also be carried out to ensure that data (and changes to it) are synchronized between individual workstations and central repositories.
Furthermore, not having access to dark data can lead decision-makers and members of the management committee to make bad decisions for the company. Another element to take into Country Email List account is that there may be a significant waste of resources. This can effectively result in a loss of employee productivity (search time to obtain the necessary information) or increasing storage costs for hidden and therefore unused data. The final problem is that dark data contributes to maintaining corporate data silos.
In this regard, the major objective must be to discover dark data so that it can be classified and managed appropriately, and potentially analyzed to serve the company's business intelligence. One of the key things to look at is knowing where each dark data silo comes from, and identifying the processes and tools that can help prevent this from happening again.
Companies can take a proactive approach to reduce the expansion of this type of data , by creating safeguard policies for employees, training them regularly on these policies – especially when there are developments or new recruits. Audits can also be carried out to ensure that data (and changes to it) are synchronized between individual workstations and central repositories.