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Data Driven Decision Making Decision making has long been a subject of study and given the explosive growth of Big Data over the past decade, it’s not surprising that data-driven decision making is one of the most promising applications in the emerging discipline of data science. The practice of basing decisions on the analysis of data rather than purely on intuition – Foster Provost & Tom fawcett

Decision making spans across a broad spectrum : • Operational Decisions at one end of the spectrumHighly structured , routine , short term oriented . • Strategic Decisions on the other – These kind of decisions are taking by high levels of management as they set long term directions and policies.

Data driven decision making in schools . • Schools across the United states of America are implement D3M to improve college readiness of students.

Theory of action for data driven decision making : • The ultimate goal is the improvement of student achievement and college readiness . The general theory of action for D3M involves three sequential steps 1. Assemble high quality raw data : Data might be collected through formative , diagnostic and summative assessments , standardized tests and college and career readiness tests etc. 2. Conduct analysis that ensures resulting data are relevant and diagnostic : Data that are not relevant will not be used . 3. Use relevant and diagnostic data to inform

How Walmart implements D3M • A few years ago , as Hurricane Frances threatened to hit on Florida’s Atlantic coast , Wal-Mart stores executives were trying to predict what kinds of merchandise they should stock in their stores in the affected areas . • Based on analysis of past purchases in other Walmart stores under similar conditions , experts mined data and found that products beyond the usual flashlights , batteries and bottled water. • They found out that demand of Strawberry pop tarts were 7 times than usual. Also , beer was likely to be the top selling item .