We work at Fryqua to gain better control over the data lifecycle.
We are storing increasing amounts of data. Files are created, modified, shared, and archived. Sometimes for years without anyone knowing exactly why a file exists, how current the information is, or how long it actually needs to be kept.
Our software focuses on areas such as file monitoring and data integrity. We aim to help organizations gain insight into their files, track changes, and safeguard data reliability. Yet, once you have insight into what data exists and how it is being used, the next question naturally arises: how long does that information remain relevant, and when should it be reviewed?
Not all data remains relevant for the same length of time
A file that is indispensable today might be obsolete in a few years. Conversely, another file may need to be retained for a specific period due to legal or organizational requirements.
In practice, however, a great deal of attention is often paid to data security and storage, while the question of how long information remains relevant is not always given the same emphasis. This represents an interesting next step for us.
We are currently working internally to expand our data classification capabilities. Through this initiative, we aim not only to provide insight into the importance or sensitivity of files this year but also to support the management of their lifecycles.
Moving from classification to more conscious data management
A key part of this development is the introduction of two concepts: retention periods and information aging.
A retention period refers to the legally mandated or organizationally determined timeframe during which data must or may be kept. Once this period expires, it signals the time to assess whether the information still needs to be retained or, for instance, archived. The software does not delete files automatically; the assessment and any subsequent action remain the responsibility of the organization, a necessary step for business documents, privacy regulations (GDPR), and tax records, among other things.
Information aging is the process by which data becomes less relevant or inaccurate over time—for example, authorization data that is not immediately cleaned up after an employee leaves the company. Such data is a prime target for hackers.
This distinction is important. After all, a file may still need to be retained even if the information within it has become outdated. Factoring in both aspects provides a clearer picture of how the data should be handled.
Changes must also remain transparent
We are also working on an audit trail for changes to data classifications and labels. This records who made a change, when it occurred, and what the original and new values were.
That may sound like a technical detail, but it touches on a fundamental principle: effective data management requires insight not only into the current situation but also into how that situation came about.
When settings change, you want to be able to trace exactly what was modified and by whom. This assists organizations with internal audits and helps them demonstrate the validity of their management processes.
We are also exploring ways to better tailor classification settings to individual customer needs. This is particularly relevant for environments where multiple clients are managed from a single server.
A development that goes beyond mere storage
For us, this is a logical evolution of our existing activities. Insight into files and their integrity forms a crucial foundation. The next step is to provide organizations with better support regarding questions about the meaning, currency, and retention periods of that data.
After all, maintaining a grip on data ultimately involves more than just knowing which files exist.
It is also about understanding the importance of the information, how long it remains relevant, what changes have occurred, and when it is time to re-evaluate the situation.
That is what we are working on. Step by step, based on real-world practice, and with the aim of giving organizations greater insight into and control over their data.