{"product_id":"business-analytics-a-quickstudy-laminated-reference-guide-9781423250906","title":"Business Analytics: A Quickstudy Laminated Reference Guide","description":"Essential reference guide to the transformation of data into insights that will improve business decisions. Developed for business degree seekers and professionals who want to better their decision-making process, this six page laminated guide covers need-to-know facts designed for quick access in a bullet format with color coded sections. Succinctly written and organized by Dr. Kyle Allison a senior executive, professor of analytics, speaker, and author. Dr. Allison uses his multi-faceted knowledge plus real-world experience working with retailers like Best Buy, Dick's Sporting Goods, and VF Corporation to give you the most important facts from his 20 plus years of academic knowledge and business experience. With our famous QuickStudy format giving you more answers per page than any other source, and the value this tool holds to help boost your grades or your business, this inexpensive guide is a must-have. \u003cbr\u003e 6 page laminated guide includes: \u003cul\u003e\n\u003cli\u003e Introduction \u003c\/li\u003e\n\u003cli\u003e Business Data \u003cul\u003e\n\u003cli\u003e Data Types \u003c\/li\u003e\n\u003cli\u003e Data Source \u003c\/li\u003e\n\u003cli\u003e Data Integrity \u0026amp; Data Cleansing \u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e Data Collection \u003cul\u003e\n\u003cli\u003e Techniques \u003c\/li\u003e\n\u003cli\u003e Challenges \u0026amp; Mitigation \u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e Data Governance \u003cul\u003e\n\u003cli\u003e Key Steps \u003c\/li\u003e\n\u003cli\u003e Stakeholders \u003c\/li\u003e\n\u003cli\u003e Benefits \u0026amp; Challenges \u003c\/li\u003e\n\u003cli\u003e Limitations \u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e Data Mining \u003cul\u003e\n\u003cli\u003e Key Steps \u003c\/li\u003e\n\u003cli\u003e Stakeholders \u003c\/li\u003e\n\u003cli\u003e Benefits \u0026amp; Challenges \u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e Descriptive Analytics \u003cul\u003e\n\u003cli\u003e Methods \u003c\/li\u003e\n\u003cli\u003e Benefits \u003c\/li\u003e\n\u003cli\u003e Limitations \u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e Predictive Analytics \u003cul\u003e\n\u003cli\u003e Methods \u003c\/li\u003e\n\u003cli\u003e Benefits \u003c\/li\u003e\n\u003cli\u003e Limitations \u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e Confidence Levels \u0026amp; Significance \u003cul\u003e\n\u003cli\u003e Confidence Level \u003c\/li\u003e\n\u003cli\u003e P Value \u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e Prescriptive Analytics \u003cul\u003e\n\u003cli\u003e Methods \u003c\/li\u003e\n\u003cli\u003e Benefits \u003c\/li\u003e\n\u003cli\u003e Limitations \u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e Data Visualization \u003cul\u003e\n\u003cli\u003e Key Roles \u003c\/li\u003e\n\u003cli\u003e Data-Driven Decisions \u003c\/li\u003e\n\u003cli\u003e Choosing the Right Visualization \u003c\/li\u003e\n\u003cli\u003e Techniques \u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e Neural Networks \u003cul\u003e\u003cli\u003e Business Example \u003c\/li\u003e\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e Deep Learning \u003cul\u003e\u003cli\u003e Business Example \u003c\/li\u003e\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e Marketing Analytics \u003cul\u003e\n\u003cli\u003e Data Types \u003c\/li\u003e\n\u003cli\u003e Examples \u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e Financial Analytics \u003cul\u003e\n\u003cli\u003e Data Types \u003c\/li\u003e\n\u003cli\u003e Examples \u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e Supply Chain Analytics \u003cul\u003e\n\u003cli\u003e Data Types \u003c\/li\u003e\n\u003cli\u003e Examples \u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e Customer Service Analytics \u003cul\u003e\n\u003cli\u003e Data Types \u003c\/li\u003e\n\u003cli\u003e Examples \u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e Merchandising Analytics \u003cul\u003e\n\u003cli\u003e Data Types \u003c\/li\u003e\n\u003cli\u003e Examples \u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\u003cbr\u003e","brand":"Quickstudy Reference Guides","offers":[{"title":"Default Title","offer_id":50903354638610,"sku":"9781423250906","price":5.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0831\/4771\/8930\/files\/img_b366611a-cddc-4702-af70-f9d2c1cfdcc0.jpg?v=1738491137","url":"https:\/\/surprise-castle.myshopify.com\/products\/business-analytics-a-quickstudy-laminated-reference-guide-9781423250906","provider":"Surprise Castle","version":"1.0","type":"link"}