Question

Highlight the challenges in data analytic applications with sensitive data

Answer 1

Challenges in data analytic applications with sensitive data :

Data analytic applications are used to dropping the crime rates in a certain area. Many organizations had enough data in their hands so they require data analytics for security concerns.

Some organizations struggle with the analysis due to a lack of talent. Because for sensitive data following some rules or make our data secure with some points like;

• Make sure that encrypts all confidential information. Keeping sensitive information inaccessible from other users.
• Check every time that the software we are using is up to date or not, because new malware is being released all the way and that will affect our data.
• Always remember one thing is that prepare for disaster because if any problem occurs make sure that you have a backup plan is ready for it.
• And remember one thing is that never lock on all data, only apply on particular or sensitive data ao that if any employee wants that data there is no need to share password every time.
• Use a hard password so that no one can easily track or hack that password.
• Does not miss Audit because data security Audits help companies gain awareness of their security gaps.

These are some challenges with sensitive data, so make sure that keep your data safe.