The reality is that data governance is fundamentally a practice, not a technology you can buy. To be sure, there are great data governance tools that can help you with tasks like discovering your data, improving its quality, and protecting it from risks. But those tools only deliver value if you define clear data governance objectives, and then determine which tools you’ll need to achieve them.
In other words, while technology is part of the data governance equation, it’s only one part – and it’s not the most important one. You need to determine which data governance practices your business requires before you can deploy tools to support them. Tooling is simply an enabler of practices, not the practices themselves.
Mistake
Because part of the purpose of data governance is to mitigate data security risks, minimizing who can access data may seem like one way to achieve data governance.
The less access people have, the lower your risks
This is true to the extent that unnecessary access rights to hong kong whatsapp number data data assets should be revoked. However, this practice becomes a mistake when it blocks access to data that some of your users or employees legitimately require. Data security should never come at the expense of data usability and availability – which are, after all, equally important parts of data governance.
Mistake
Not Understanding Day-to-Day Data Requirements
At many companies, the people who actually choices restricting data access in ways that disrupt productivity about use data on a daily basis are often not at the center of conversations surrounding adb directory data governance policies. The result is policies that reflect what managers think employees do with data instead of what they actually do.
This is bad not just because it can restrict employees’ access to data. Even worse, it can breed situations where employees deploy unofficial tools to work with data without the organization’s knowledge, leading to shadow IT.