Last updated on May 24th, 2022 at 10:59 am
These days, analytics and reasonable insights are the bread and butter of running a successful organization. They bridge the gap between trying to find out what your customers want and giving it to them. In that respect, analytics and data can inform virtually any aspect of your business plan. So, why, then, is data integrity and governance performed in such a sloppy manner at some organizations? With the rise of AI, data-driven decisions, and high technology Obtaining a reasonable assessment of any of your data can only be accomplished when it’s usable, reliable, and has a high level of integrity. Without these parameters in full force, your data can be compromised or even useless depending on what sort of insights you’re trying to acquire. In this article, we’ll go over five steps that are crucial to reinforcing data integrity in your organization. Keep reading to learn more.
Auditing
Never underestimate the power of auditing your data. Although it sounds like a terrifying concept to most people, auditing your data and data processes is a very useful tool for ensuring data integrity across your business. When you’re auditing, you’re looking for any weak points in the system or other possible problems that could lead to data being compromised in some form or another. Human error—like someone accidentally putting the wrong numbers into a spreadsheet—is only one of many problems that an audit can catch. Sometimes there’s a programming or software error that might need to be fixed or addressed to bolster data integrity. Regular, comprehensive audits and keeping an audit trail can help you keep data consistent, quality, and ready to use. It’s also the best way to catch errors before they become bigger problems. An annual audit of your company’s finances will help ensure that nothing is amiss and that you stay compliant with various laws and regulations, too, making it a fantastic method for maintaining data integrity across the board.
Risk Assessment
Establishing strong risk assessment protocols is quite important for robust data integrity protocols. Dealing with data regularly means assessing and handling risks as they come up. Part of any comprehensive data Integrity process involves this activity. To ensure the safety and security of your information, you need to find ways to protect your data. There are many challenges here. These might be related to data recovery, data loss, quality issues, or potential cybersecurity problems. You want to ideally prevent them from happening in the first place. Start by determining who is responsible for the data. Afterward, performing comprehensive risk assessments should occur to identify any possible threats. Once threats are identified, it’s time to take action. Use the information to create a data government and integrity plan, outlining exactly what you’ll do when threats happen. By reinforcing and bolstering your security methods along with risk assessment, you can keep your data safe and ready to use at any time
Appointing A Data Manager
Having a data manager can also help you with your data Integrity plans. The real question is: what type of manager will your company use? A human manager offers some advantages over an automated manager. A human manager can review integrity issues on a case-by-case basis, updating records appropriately and keeping things up-to-date. Human data managers need to have strong communication skills so they can provide timely updates about any changes within an organization and avoid confusing staff. Sometimes, however, going with an automated data manager can work more advantageously instead. If you use a large amount of data, and automated data manager is a good choice. It can handle large workloads and can usually track real-time changes (such as customers altering their information) and manage it with the remainder of your data. The choice will ultimately depend on the quantity of data you use and the size of your organization, so weigh your options and choose accordingly.
Hardware And Physical Data Storage
The actual physical storage of your data is also important. If the hardware or servers you’re using are compromised, your data can be damaged. To prevent this, you need to safeguard them against potential intrusion from hackers, viruses, or malware. Ransomware is also a significant threat to data integrity in the modern world, so protocols for preventing attacks (including general safety, authentication, and best practices) are vital. To start, be sure that the physical location where you store data is safe and secure. That means locking doors, keeping data safe from wandering eyes/unauthorized users, and finding locations that offer minimal chances for natural disasters (floods or fires, among other things) to destroy your equipment.
Use Backups
In any type of computing, designing, or dealing with data, backups are important. Data is easy to lose if you don’t take certain precautions. It can be damaged or stolen in a variety of ways, often without users even realizing it has happened until it is too late! The loss of data is serious. It can hurt your customers, your employees, and your bottom line. Backing up your data is just as important as securing it properly. Most operating systems make it very easy to back up specific files, but there are also third-party backup software applications that can help. It just depends on if you require additional features. The best way to make sure that you’re protected against hardware or system failure is by keeping adequate backups of your data at all times. You can use the 3-2-1 method: keep three copies of your data on two different types of media, with one copy stored offsite. This will come in handy and keep your data safe.
