In every organization, it is vital that data is properly managed. If this is not so, the organization could be at a risk. These issues can arise in any organization no matter what the size, but before you can actually deal with them, you should be aware of their existence. So how do you analyze if your data governance methods are apt or not? Here are some indications that can help you in this regard.
When you consider data and the ways in which it can be accessed, the adoption pockets probably might not be of any help. If the situation is this or something similar, remember one thing that a data handling issue can be created with only a single spot. If you want to adopt data governance, you will have to consider the entire cycle along with the scope of your business. If even a single system is not efficient, and handles sensitive data in an appropriate manner, an issue can easily occur.
The concept of data dictionary is often utilized when implementing database systems and other enterprise applications. As you keep involving more and more systems in your IT infrastructure, it becomes vital that all the data dictionaries and glossaries which you use are absolutely the same throughout. Thus, your organization should have just one data dictionary and you should model all your data profiles around it.
If there is no individual or team in your organization whose sole responsibility is to administer the data and ensure that the quality is correct, then you have a huge data govern issue. This duty cannot be assigned to an individual who is already responsible for purchasing the hardware or perform backup. It has to be assigned to someone who has no other task within your organization other than ensuring that the correct data is provided in the correct places, that all information is accurate and that the entire data life cycle is managed effectively.
While you should definitely have a data steward, you just cannot have two groups who are claiming to perform the same tasks. This is more of an organizational issue rather than a data governance problem, but it can still increase the risks associated with data being governed incorrectly or things being handled the wrong way.
If your company has issues with file sharing, storage systems, encryption methods and other related technologies, you may also have problems with your data governance system. As an example, there may be stored sessions or logs that contain private and confidential systems, which will then have to be protected and included in your data governance system as well.
If you cannot fix any of your data issues and instead prefer working around it, you may have to change your mindset completely. Situations like these can be really bad for your business, particularly if you are interested in expanding it.