Look at your data right away. Take a good, hard look at it.

There are numerous alternatives available to businesses and organizations interested in data retention management, but no definite defining standard. That’s the kind of thing that makes data management specialists sympathetic to teams using their data to make judgments.

The difficulty there is that if something goes wrong you will need everything from your incorporation documents from the beginning of the business, which could be more than 20 years old, to your current contract, and what you [are] supposed to be working on, if something goes wrong, you’re going to need to have records plain in simple.

Divergent opinions. There is no set rule for how long to keep data or why to do so, and businesses and organizations may do so for a variety of reasons.

According to data managers, the retention problem is largely divided between operational and legal considerations. The latter includes a plethora of available signposting as to how long you should be keeping stuff that is unclear. But some fundamentals are included for a reason.

From a financial perspective, you can’t go wrong if you keep critical company data for seven years.

Although seven years isn’t a requirement, it’s a general suggestion that will keep you compliant enough to avoid problems on that side, and keep you on the right side of data risk on the other. Because there isn’t a universally applicable answer.

Because of the expansion of privacy laws and increased public knowledge of privacy issues,this is becoming a more and more complicated space.

Data retention management specialists, whether they are experts or merely employees of IT teams, face issues that are neither exciting nor seductive. They are just the end result of managing a company’s IT requirements on a daily basis. However, if you take a bigger picture into consideration, you’ll see a more complicated picture with multi-layered solutions. When you couple that with the generally lackadaisical attitude many employees have toward IT, disaster may be on the horizon.

Keeping privacy in mind, don’t submit your source code to ChatGPT to determine whether it’s acceptable. People will start providing more data, which will expose their businesses even more.


A higher level of data risk may be required by businesses and organizations with more complex and ambitious aims, which security teams are less likely to accept.


Depending on how product lines are developed or whatever product or service you provide, you might be able to mine that data for certain insights. This could be motivation on the business side of an organization to retain certain data types in the hope that it may serve them well in the future.

However, be cautioned that keeping sensitive data carries hazards. IT teams must categorize the data and weigh the advantages of retaining it against the retention policies. There must always be a balance between the amount of danger that may be accepted and the potential rewards.

Consider this as an opportunity that lies within the data that someone is in possession of. But that chance will always exist only in theory.

Looking to discuss your data management ? Contact the professional data management specialists at ETV Software, Inc. at 903-531-0377