When choosing a data classification solution as a foundation for improved data security and data management, there are some key considerations when comparing a 'one size fits all’ approach with a best-of-breed solution.
The challenge is to successfully negotiate complexity with a classification policy that is incredibly flexible and configurable, but is still easy to use and fits seamlessly into end users work on a day-to-day basis.
A major constraint with a ‘one size fits all’ approach is that any classification functionality will be at a very basic level and as a result creates a weak foundation for such a fundamental security component. This approach causes more pain downstream as your business grows and evolves, and more granular classification requirements emerge.
Whether it is roadmap flexibility, technology integration and interoperability or support for non-standard applications and file types, your classification vendor choice has to support the needs of your organisation not just now, but well into the future.
“...the need for a more sophisticated data classification functionality is a business necessity: one size doesn’t necessarily fit all situations.”