Determine

For those master data processes not executed in the cloud, determine how the cloud master data process will be disabled to make sure it is not inadvertently used.

Establish rules

Create or reuse business rules and standards for creating, updating, and archiving master data fields in the cloud software solutions.

Ensure accuracy

Ensure data is current and accurate in cases where customers, suppliers, and employees can maintain their own contact data in the cloud. Self-service does not guarantee high data quality accuracy or timely updates. 

Data liability and risks

While cloud software environments often have stronger security and data protection than what is found on premise, there will still be risks the CDO must evaluate. In addition to defining the data lifecycle tasks to be performed by the cloud software provider, the CDO must also understand and clearly document the liability risk for data exposure and data risk mitigation obligations including:

• Privacy compliance responsibility

• Data physical location assessment

• Security and data transfer risk management (encryption and anonymization)

• A contingency plan to switch vendors if needed

• Identity management

• Data ethics

Managing cloud data warehouses

In the cloud data management scenario, a data repository is hosted in a cloud infrastructure environment, such as a data lake or a data warehouse as a service (DWaaS). New, fast cloud warehouses are rising in popularity and are replacing in-house warehouses for “fast path” business-led initiatives. A modern cloud data storage architecture offers both technical and business benefits. From a technical perspective, the cloud offers elasticity, efficiency, addressability, and query optimization. These translate into business value.

Improvements in total cost of ownership (TCO)

DWaaS pricing charges only for resources used. This means no forecasting or paying for long-term needs or up-front costs.

Increased flexibility and scalability  

With the cloud, an individual department can acquire nearly unlimited computing power and storage with just a few clicks.

Integrating new technologies

Machine learning, artificial intelligence, and analysis tools can easily be integrated.