Tech companies have long struggled to compete with data analytics firms who provide data that can be used to understand the behavior of consumers, track spending, and improve customer service.
Now that data analytics is part of the core of every business, it’s important for companies to understand what data-management practices they can adopt.
In this article, we’ll cover some of the best practices that can help keep data-driven data from creeping into your company’s data center.
Use « zero » data 1.1.
Get your data from a trusted source The data that is currently in your company data center is likely to be extremely valuable to you and the business, and if you are using it for a long time, it might be worthwhile to transfer that data to another location where it’s more likely to remain secure.
That’s why it’s so important to have a trusted third party with whom you can work securely.
A data center that has been audited regularly can provide this assurance.
A « zero-day » vulnerability in a company’s system can be exploited by hackers, which could then spread the vulnerability to other data centers, potentially causing data loss or even data breaches.
You can use an auditing company’s audit report to determine which data centers are in need of upgrades.
If you want to save your company money on costs, use a data center auditing service that only offers zero-day vulnerabilities.
It’s a good idea to also have an external data center auditor who is trained to review data-center audit reports.
You may need to pay a small fee to hire an external auditor.
Don’t leave sensitive data to hackers 3.
Use a standard backup strategy This means using a standard archive backup strategy.
An archive backup will not only protect data from loss or tampering, it will also protect against data loss and tampering in the event of a data loss.
This is because the archive will be backed up on a different hard drive.
If the data isn’t backed up to the same hard drive, a hacker could use the information to steal the hard drive and steal the data from your company.
If data is encrypted, a data recovery solution may be needed. 3. Don