Data filters are low-code tools that can be used to create segments based on criteria applied to data extensions.
They can be used to filter subscribers by age, opt-in status, or any other attribute. Filtering the .csv file before import is not a low-code option, and writing a query is a code-based option.

To easily segment the data extension into 10 separate segments, you should use the random data extension feature. This feature allows you to create a new data extension with a random sample of records from an existing data extension. You can specify the number of records or the percentage of records to include in the random data extension.

File Transfer Activity in Automation Studio is the method that meets their needs. File Transfer Activity is an activity that allows you to move files from one location to another, such as from Marketing Cloud to an SFTP server or an AWS S3 bucket. You can use this activity to schedule automatic delivery of pivot table data to an AWS S3 bucket every Monday at 6:00 a.m. Report Scheduling in Datorama Reports is a feature that allows you to schedule reports to be sent via email or Slack, but not to an AWS S3 bucket. Report Definition Activity in Automation Studio is an activity that allows you to create and run reports based on data views, but not to deliver them to an AWS S3 bucket.

An Interactive Email Form is a type of content block that allows marketers to create and embed a form within an email. The form can collect information from subscribers, such as feedback, preferences, ratings, etc., without requiring them to leave their inbox. The form can also link to a confirmation page or another email after submission. An Interactive Email Form can increase the response rate by making it easy and convenient for subscribers to provide feedback.

An automation that imports subscriber data regularly and updates key data extensions is what NTO should create as a good first step to add automation to its email marketing. This automation will help NTO keep its subscriber data up-to-date and consistent across different data extensions. It will also enable NTO to use this data for segmentation, personalization, reporting, etc. An automation that deletes old data extensions, emails, and reports may be useful for cleaning up unused assets, but it is not directly related to email marketing. An automation that contains several recurring emails and decisioning points may be too complex for a first step and may require more planning and testing.