by Angela Guess
Joey Jablonski of Cloud Technology Partners recently wrote, “As companies increasingly turn to data to influence their decisions, it is critical that data owners understand the rapidly evolving needs of risk management for data that crosses applications, on-premise facilities and clouds. Successful data governance can be achieved with applications that span private on-premise environments and public cloud resources, but governance must be a fundamental part of the design and implementation, not an after thought.” Jablonski writes that there are five steps to a complete data governance strategy. Those steps include: “Value– Know what value the data holds in terms of cost if lost, cost of generation and value derived through analysis. These metrics will be used to determine safeguards for protecting the data and relative costs for storing the data on different platforms.”
The list goes on, “Location– Know both where the data is created and where it is stored. This information leads to what safeguards are needed to protect the data at rest as well as in transit. This metric also helps determine the best methods for moving data between sites for analysis, transformation, and integration. Risk– Knowing what risk the data poses to your organization is key to ensuring it is appropriately protected. High-risk data includes social security numbers, addresses, and credit card information, all of which require alerting customers if they are lost or compromised.”
Jablonski goes on to list an additional seven steps for data best practices in a “cloud-first world.” Read on here.