How To Build A Sustainable Data Minimization Strategy
Sustainable energy
Climate is at the top of issues considered material to environmental, social and governance (ESG) sustainability. Cloud sustainability, carbon footprint measurement and advanced grid management software are the three emerging environmental sustainability technologies that will reach early mainstream adoption within one to three years, according to Gartner, Inc.
Sustainable energy is derived from resources that can maintain current operations without jeopardizing the energy needs or climate of future generations. The most popular sources of sustainable energy, including wind, solar and hydropower, are also renewable
Data Minimization
The principle of “data minimisation” means that a data controller should limit the collection of personal information to what is directly relevant and necessary to accomplish a specified purpose. They should also retain the data only for as long as is necessary to fulfil that purpose.
Store the absolute least information necessary and cut down on storage requirements
Reduce environemental costs of processing and storing data
Know your data footprint and Purge or compress and archive redundant, obsolete, or trivial data
Integrate data minimization principles into their operations
How To Build A Sustainable Data Minimization Strategy?
- Store the absolute least information necessary and cut down on storage requirements
- Reduce environemental costs of processing and storing data
- Know your data footprint and Purge or compress and archive redundant, obsolete, or trivial data.
- Integrate data minimization principles into their operations
