SCENARIO
Clean-Q is a company that offers house-hold and office cleaning services. The company receives requests from consumers via their website and telephone, to book cleaning services. Based on the type and size of service, Clean-Q then contracts individuals that are registered on its resource database - currently managed in- house by Clean-Q IT Support. Because of Clean-Q's business model, resources are contracted as needed instead of permanently employed.
The table below indicates some of the personal information Clean-Q requires as part of its business operations:
Clean-Q has an internal employee base of about 30 people. A recent privacy compliance exercise has been conducted to align employee data management and human resource functions with applicable data protection regulation. Therefore, the Clean-Q permanent employee base is not included as part of this scenario.
With an increase in construction work and housing developments, Clean-Q has had an influx of requests for cleaning services. The demand has overwhelmed Clean-Q's traditional supply and demand system that has caused some overlapping bookings.
Ina business strategy session held by senior management recently, Clear-Q invited vendors to present potential solutions to their current operational issues. These vendors included Application developers and Cloud-Q's solution providers, presenting their proposed solutions and platforms.
The Managing Director opted to initiate the process to integrate Clean-Q's operations with a cloud solution (LeadOps) that will provide the following solution one single online platform: A web interface that Clean-Q accesses for the purposes of resource and customer management. This would entail uploading resource and customer information.
* A customer facing web interface that enables customers to register, manage and submit cleaning service requests online.
* A resource facing web interface that enables resources to apply and manage their assigned jobs.
* An online payment facility for customers to pay for services.
Considering that LeadOps will host/process personal information on behalf of Clean-Q remotely, what is an appropriate next step for Clean-Q senior management to assess LeadOps' appropriateness?
Which of the following became a foundation for privacy principles and practices of countries and organizations across the globe?
In the realm of artificial intelligence, how has deep learning enabled greater implementation of machine learning?
Which is the most accurate type of biometrics?
