7 best practices for effective Data Management (Soffer, 2019)

7 best practices for effective Data Management (Soffer, 2019)

1. Data Quality

   • Data should be checked regularly for accuracy and outdated data should be deleted from the system.

2. Reduce duplicate data

   • Ensure company has a process in place to avoid duplicate data being added to system

3. Data recovery strategy

   • Regularly export data to another file and save on a hard-drive as back up in case of systems breakdown.

4. Outline Business Goals

   • Plan what you will do with the data before you collect in order to gather just the relevant information.
     • Examples of business goals: Improve decision making. 2.Find customer buying habits.

5. Data protection and secruity

   • Important to comply with GDPR and other regulations when collecting data

6. Ready accessible data

   • Have specific logins and access permissions for people based on their role/ data needs

7. Data management software

   • Investing in good quality software is vital for efficiency in data management.