This paper examines Nintendo's Wii strategy and the decisions that allowed the company to expand the video game market beyond traditional gamers. Rather than competing on technology alone, Nintendo focused on a different customer, accepted meaningful tradeoffs, and aligned every major business decision around that strategy. It also explores how those choices differentiated Nintendo from Sony and Microsoft and the risks Satoru Iwata accepted in launching the Wii.

This report combines MIMIC-III critical care data, SQL, Microsoft Excel, and published clinical evidence to evaluate the financial impact of early peptide-based enteral nutrition in ICU patients. Using evidence-based financial modeling, the analysis demonstrates how electronic health record data can support strategic purchasing decisions, improve resource utilization, and reduce the total cost of critical care.

This report examines how much sensitive information can be reconstructed from a single patient's electronic health record. Using the MIMIC-III database, it follows one ICU hospitalization to explore the balance between using healthcare data to improve care and protecting patient privacy, security, and trust.

Healthcare technology is intended to support clinicians, but inconsistent documentation and workflow challenges can limit its effectiveness. This report uses the MIMIC-III database to examine caregiver documentation and dietitian charting in the ICU, demonstrating how better documentation practices can strengthen clinical workflows, reporting, and future decision-support tools.

Healthcare organizations are surrounded by data, but meaningful insight often emerges only when information from different systems is connected. Using nutrition support, laboratory monitoring, and ICU data, this report demonstrates how integrating these data can enable earlier risk identification, better clinical decision-making, and improved patient care.

This report applies the concepts from DalleMule and Davenport's What Is Your Data Strategy? to the healthcare industry. Using data from the MIMIC-III critical care database, the analysis explores both offensive and defensive data strategies through nutrition-related patient risk identification and discharge care transitions. The findings highlight how healthcare organizations can improve decision-making, data quality, care coordination, and patient outcomes by balancing governance with analytics-driven action.