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Data Science and Business Strategy: Turning Data into Strategic Decisions
Data Science and Business Strategy: Turning Data into Strategic Decisions
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In this course, students will understand the fundamentals of Data Science, including the triad of statistics, programming/technology, and business knowledge. The concepts of Big Data, Data Science, and Data Analytics will be differentiated, highlighting how each approach contributes to generating insights and supporting strategic decisions.
The module explores the four levels of analytics — descriptive, diagnostic, predictive, and prescriptive — showing how to turn data into answers about what happened, why it happened, what may happen, and what should be done. Market challenges, data culture, information integration, and the shortage of qualified professionals are also discussed, emphasizing the importance of aligning technical skills with organizational strategy.
Finally, students will study Business Intelligence (BI) and the tooling ecosystem, including Power BI, Google Looker Studio, Qlik Sense, IBM Watson, Oracle Analytics, BIRT, Pentaho, and Adobe Analytics. The module highlights Data Storytelling, democratizing insights, integrating generative AI, and emerging trends, reinforcing that leadership must place data culture at the center of strategy to generate sustainable competitive advantage.
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