Final answer:
Justification of business decisions using data involves documenting the scientific and mathematical basis behind the choices made, ensuring compliance with regulations and effectively addressing client needs.
Step-by-step explanation:
The creation of documentation to justify business decisions based on data collection and storage systems within an organization involves presenting a clear rationale for why certain decisions were made. This process is closely bound up with the application of data science and business intelligence. It requires a scientific approach in selecting and interpreting the types of data necessary to address specific business questions or solve problems.
For instance, when designing a new product or service, the science behind the chosen solution should be articulated, factoring in the needs and constraints as they relate to the problem at hand. Mathematical models may be employed to demonstrate the performance and effectiveness of the design, ensuring that it meets the client's needs.
Clear documentation and justification are also critical in the context of regulatory compliance, such as adhering to the definitions provided by the Personal Data Notification & Protection Act of 2017, which gives precise meaning to what constitutes a security breach. Businesses must use documented evidence rooted in facts to demonstrate the validity of their decisions.