5 Tips for Mastering Data Governance in the Cloud
- Denisse Soker
- 2 minute read
It’s 2020, and pretty much all companies use some form of cloud infrastructure (91% public and 72% private). We have jumped on the cloud train because it gives us enormous benefits. However, in our complicated cyber-world, a cloud-first business is judged on its data; often sensitive, personal, and proprietary data. And so, along with cloud computing comes data governance. Risk management of data is a crucial part of the design of cloud infrastructures and their use. Here are five tips for making your data governance, work.
5 Tips for Data Governance
Best practice in data governance can be helped along by using our tips to de-risking your cloud-based data.
1. Knowledge is Powerful: A World of Data Discovery
Know your data, is a fundamental step in successful data governance using a process of location and classification. ‘Data Discovery’ involves mapping your data assets across the data lifecycle. Where is the data collected, where is it stored, who uses it and for what purpose, and so on? This part of the data governance process allows you to gather actionable insights into your entire data critical infrastructure. It is a way to organize your data and link it to business processes.
2. Feel the Quality: Data Quality
Data quality varies across organizations and even within departments. However, the quality of data, once established, gives you a measurement of its accuracy and if it is fit for purpose. Data quality is a key part of overall data management and knowing the quality of data informs data governance.
3. Keep on Tracking: Metadata Across an Organization
During the data discovery phase, you will have created a data catalog. This should also include metadata - this is basically data about data. Metadata can be used to give a wide-angle view of where data is in an extended enterprise.
4. Being Security Aware: Implement Data Training and Education
Data is at risk from many sources, not least from employees and other associates. Having a security awareness training program in place can help to prevent some of the major security attack types that cause data breaches. This includes phishing, password sharing and reuse, as well as accidental data exposure.
5. Setting the Controls: Data Protection
Setting the bar for data protection is encryption. However, your encryption choices need to reflect the lifecycle stage of the data; previous work in data discovery and quality, to identify, locate, and classify data, will help you make good encryption choices. Encryption should be applied for data that is stored, moved, and when that data is used. This means that encryption tools need to be designed specifically for that stage in the data lifecycle. For example, data at rest (stored) would need a different type of encryption solution than data during transit or data that is in use.
Make Data Governance Your Driver
Data is in the driving seat of our cloud infrastructure. But to drive safely, we need to ensure robust data governance. In doing so, an enterprise can build a robust security posture and keep the reins on corporate risk. By having a data governance process in place that uses best practices for delivery, you can become a data governance master.
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