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Executive Management: Team C

This report, crafted by the executive management team, delves into effective strategies for improving customer satisfaction and profit margins through data analytics. It emphasizes the importance of understanding customer needs, accurate forecasting, and maintaining raw data integrity. The document explores key statistical concepts such as frequency distribution, normal distribution, and measures of central tendency and dispersion. Additionally, it offers practical insights for applying these methods to enhance inventory control and operational efficiency, drawing on relevant literature and case studies.

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Executive Management: Team C

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  1. Executive Management: Team C Cherelle Smith, Heather Krawinkel, Ritu Jain, Scott Hrovat and Vickie Dufault QRB/501 July 8, 2013 Terrance Feravich

  2. University of Phoenix Summer Historical Data - Heather • Customer Needs • Increase Profits • Forecasting • Keep Track

  3. Raw Data Used - Heather

  4. Frequency Distribution - Vickie

  5. Normal Distribution - Vickie

  6. Mode, Median and Mean - Cherelle

  7. Range and Standard Deviation - Cherelle

  8. Improving Using Frequency Distribution - Scott

  9. Improving Using Normal Distribution - Scott

  10. Central Tendency - Ritu

  11. Dispersion - Ritu

  12. References • Teeboom, L. (2013). How to Design an Inventory Control System. Retrieved July 6, 2013 from http://smallbusiness.chron.com/design-inventory-control-system-40910.html • University of Phoenix Summer Inventory Data. (2011). Retrieved from https://portal.phoenix.edu/classroom/coursematerials/qrb_501/20130528/OSIRIS:44702195

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