- Removes the constraints created by data siloes
- Allows organizations to “experiment” more with the data, and to ask more intuitive questions
- Enables people to focus on creating value by letting computers take over much of the work done now
- Ensures subject matter experts can explore the data
- Cost considerations: these transition costs include how quickly agencies can close out legacy architecture and shift software and applications, as well as the extent to which data storage facilities and the IT workforce can be repurposed or retrained once the cloud has been introduced.
- Potential productivity benefits: productivity gains across disparate activities can be difficult to pin down, and even tougher to ascribe to a single investment. Including the potential for productivity gains in a calculation of return on investment begins with a study of current costs, analyzing whether or how those costs can be permanently reduced once in-house data management is replaced by a cloud system.
Also forthcoming in series:
- New Ways of Managing Big Data in the “Data Lake”: This effective and efficient way to load, store and access multiple data sources results in more expansive access to data, while providing a new way to manage data.
- Enabling Cloud Analytics with Data-Level Security
- Empowering the Government’s Digital Enterprise