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Data Governance in Hong Kong

Data hk (data mining) is the practice of collecting and analysing information to inform business decisions. It can be applied in many different areas, from customer satisfaction research to market trends analysis and forecasting the future. It’s crucial that any data mining conducted adheres to ethical practices while complying with local regulations.

Hong Kong Personal Data Protection Policy (PDPO) contains six Data Protection Principles which outline how personal data must be collected, held, processed or used within Hong Kong territory. Any person collecting or holding personal data within Hong Kong – including those transferring it outside – must abide by these regulations. Furthermore, they impose strict obligations upon users regarding reporting breaches as well as fines and criminal sanctions for noncompliance.

Before beginning any data governance program, it’s essential that you understand its requirements and how they may impact your business. A skilled legal counsel or IT leader can assist in navigating through the intricate legislation involved, while helpful guides may be found online and are sometimes free for download.

As part of designing your data governance program, it’s crucial to outline your vision and business case. Your vision should include your overall strategic objective while the business case explains how the program will deliver a return on investment. A project manager can facilitate this process by assigning roles and responsibilities. A RACI matrix (Responsible Accountable Consulted and Informed) matrix provides a useful way of organizing these roles effectively.

An effective data governance program begins by gathering all of the individual information held within your organization, mapping data flows, and determining where gaps in compliance with PDPO exist. Furthermore, you should conduct Data Protection Impact Assessments (DPIAs) to ascertain if any new processes or technologies might increase privacy risks for individuals.

Data refers to any information that identifies an identifiable individual, such as their name, address, email or telephone number. Additionally, health records, financial or credit histories and social security numbers fall within this definition of personal data. The Personal Data Protection Order outlines its collection purposes and classification. Furthermore, an individual must be informed prior to the collection taking place as the goal must directly correlate to why personal information is being collected in the first place.