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1 .
Reflect on the role of big data. How has the use of data analysis tools and techniques improved market analysis dynamics? Discuss specific examples where interactions online produce data points of interest to marketing teams.
2 .
Provide an example from your own experience or knowledge of how predictive analytics and simple linear regression could be applied in a real-world scenario to make informed decisions or predictions.
3 .
Develop a presentation (three to five slides) describing ways in which organizations utilize forecasting to pursue their company’s goals. Describe the tools they would use and how to explain the results best visually.

4 .
Reflecting on your personal data and online interactions, what types of information about yourself would you feel comfortable sharing with organizations, and what boundaries or concerns do you have regarding the data you provide? Consider how your comfort levels may vary across different contexts, platforms, and purposes of data collection.
5 .
Develop a short (around three minutes) YouTube-like video explaining the best practices for search engine optimization.
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© Mar 11, 2025 OpenStax. Textbook content produced by OpenStax is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike License . The OpenStax name, OpenStax logo, OpenStax book covers, OpenStax CNX name, and OpenStax CNX logo are not subject to the Creative Commons license and may not be reproduced without the prior and express written consent of Rice University.