In order to acquire insights into their operations and make wise decisions, data analytics has become a crucial tool for businesses. However, as data analytics become more widespread, ensuring that data is kept private and secure becomes more important. In this blog post, we'll talk about some best practices for data security and privacy within the scope of data analytics.
Data analytics includes gathering, processing, and analysing huge data volumes to find patterns, trends, and insights. However, gathering and analysing data itself might provide security and privacy problems. It is crucial to adhere to best practices to keep the data secure during the entire process.
Implementing secure storage for detachable media is one of the best data security and privacy practices. This is crucial in the scope of data analytics, where significant amounts of data may be exchanged between various devices and places. Confidential information must be kept in a locked file cabinet and handled only by authorised staff members when saved on transportable media like CDs, DVDs, flash memory devices, or portable external drives.
Password protection is another crucial feature of data security and privacy within data analytics. Accessing data records requires a password, and bad password habits can rapidly render even the greatest storage and encryption methods useless. As a result, passwords should be challenging to crack and secure enough to protect sensitive information. They should never be exchanged or left on paper at workstations or desks.
The scope of data analytics also includes training and keeping track of study assistants. Research assistants who handle sensitive information should be aware of and adhere to all fundamental data security procedures. Human subject research training is the first step and can be finished online. Training and supervising project workers, as well as researchers who handle private data, falls under the direct jurisdiction of the principal investigators. If a researcher has any inquiries about training, they should contact the Office of Research Integrity and Assurance.
When logging on to the PC or laptop that gives them access to the data, anyone who works with confidential electronic data should identify oneself. Before anyone can access confidential data, project managers must ensure they have a special password that uniquely identifies them. Also not advised within the scope of data analytics are restricted use of shared accounts and group login IDs.
In conclusion, data analytics presents an enormous opportunity for firms to understand their operations and make wise decisions. Businesses can ensure that their data analytics initiatives are successful and secure within the scope of data analytics by adhering to best practices like using secure storage for detachable media, protecting passwords, training and supervising research assistants and avoiding restricted use of shared accounts or group login IDs. However, it is essential to guarantee that the data is kept private and secure during the procedure.
4/24/2023, 17:58:22 by Tech Tip 24
