Data Collection and Analysis in Hong Kong
A major financial and international trading and logistics hub, Hong Kong is home to the regional offices and headquarter of many global corporations. This creates great demand for secure data centre facilities. Hong Kong’s economic freedom, free flow of information, non-censorship of content and simple tax regime make it an attractive place for companies to host their data centres.
Data collection is the process of importing and gathering information from various resources. This can be done via primary and secondary sources. Primary sources include official government and business statistics, published research papers and industry reports. Secondary sources include the internet, social media and other publicly available information. The collected information can be used for a variety of purposes. These can be used to identify trends and patterns, or for predictive analytics.
The governance of data involves a lot of people. Even if your actual data governance team is small, you’ll have to engage a large number of employees, partners and customers. All of these people will have opinions. You’ll need to organize the conversation around those opinions using a responsibility assignment matrix like RACI (responsible, accountable, consulted and informed). This will help ensure that you get the right people involved at the right times and in the right roles to build a strong data governance program.
A key role in any data governance program is the data steward. This person is the bridge between business and IT. A successful steward is an experienced business analyst or senior business system analyst who has good knowledge of the business processes and information systems that support those processes. The steward also understands how the data governance framework will impact those processes, decisions and interactions. They can act as the primary point of escalation for the program’s executive sponsor and steering committee. Moreover, they can drive ongoing data audits and metrics that assess data governance program success and ROI. This is particularly important if the data governance program spans multiple departments and geographies.