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Let’s adapt the systematic approach to answering big questions using a data science perspective for marketing:
1. Define the Business Problem:
- Clearly articulate the significant question or challenge in your marketing strategy that you want to address with data science. Understand the specific goals and constraints related to your marketing objectives.
- Clearly outline the specific metrics and key performance indicators (KPIs) associated with the marketing problem. Understanding the desired outcomes provides a foundation for measuring the success of data-driven solutions.
2. Structuring the Problem with Data:
- Break down the big question into smaller, analyzable components. Create a structured framework, such as a hypothesis or decision tree, that represents the key data-driven elements of the problem. This helps organize your analysis and guides your data exploration.
- Utilize visualization tools such as mind maps or flowcharts to represent the structure of the problem. This visual aid can be valuable in conveying the interconnected components and dependencies within the marketing challenge.
