Final answer:
To build an effective data governance strategy, one must initially focus on a few critical areas to avoid being overwhelmed and ensure each step is manageable. It involves goal setting, brainstorming, and considering multiple perspectives including scientific, ethical, economic, and legal aspects, especially in complex fields such as engineering.
Step-by-step explanation:
When building your data governance strategy, it is essential to establish the two or three areas that you want to focus on first. Starting with a narrower scope allows you to concentrate on the most critical aspects of your initiative, ensuring that each step is manageable and improving the chances of success. It helps prevent being overwhelmed by the sheer range of potential issues and maintains the clarity of your strategy. As you develop your approach, incorporating new ideas and expanding your scope should be done carefully and only after the initial goals are well underway.
Additionally, keeping track of each step towards meeting your goal (goal setting) will provide clarity, maintain focus, and keep you motivated.
When considering how to tackle broad problems, like the example of data breaches, identifying subtopics through brainstorming and categorization can zero in on feasible solutions. It's also crucial to address multiple perspectives, especially cultural, language, and social issues, to understand the needs of the community you are advocating for. In engineering and other fields, considering the scientific, ethical, economic, and legal aspects of problems is vital when looking at large-scale challenges.