Which of the following is crucial for maintaining low maintenance effort in data analytics solutions?

Leveraging low-code tools is a pivotal strategy for maintaining low maintenance effort in data analytics solutions. Low-code platforms enable users to create applications with minimal coding, which streamlines the development process. This accessibility allows a broader range of users, including those with limited technical skills, to participate in the creation and adjustment of analytics solutions. As a result, solutions can be modified and maintained more efficiently, reducing reliance on specialized developers and decreasing the overall maintenance burden.

Utilizing low-code tools promotes faster iteration and adaptation to changing business needs, leading to quicker updates and less time spent on maintenance tasks. Furthermore, these tools often come with pre-built components and templates that minimize the need for ongoing custom coding, which can often become a maintenance headache.

Other approaches, such as manual data entry processes or high-code solutions, typically introduce complexities that can increase maintenance efforts. Manual entry is error-prone and requires continuous human oversight, while high-code solutions are more rigid and demand specialized programming knowledge for updates and maintenance. Restricting user access to data is more about security and governance rather than maintenance efficiency, and while it may serve a purpose, it does not directly contribute to low maintenance efforts in the analytics context.