Business Analytics : A QuickStudy Laminated Reference Guide
Business Analytics : A QuickStudy Laminated Reference Guide
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Author(s): Allison, Kyle
ISBN No.: 9781423250906
Pages: 6
Year: 202405
Format: Book, Other
Price: $ 10.97
Dispatch delay: Dispatched between 7 to 15 days
Status: Available

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. 6 page laminated guide includes: Introduction Business Data Data Types Data Source Data Integrity & Data Cleansing Data Collection Techniques Challenges & Mitigation Data Governance Key Steps Stakeholders Benefits & Challenges Limitations Data Mining Key Steps Stakeholders Benefits & Challenges Descriptive Analytics Methods Benefits Limitations Predictive Analytics Methods Benefits Limitations Confidence Levels & Significance Confidence Level P Value Prescriptive Analytics Methods Benefits Limitations Data Visualization Key Roles Data-Driven Decisions Choosing the Right Visualization Techniques Neural Networks Business Example Deep Learning Business Example Marketing Analytics Data Types Examples Financial Analytics Data Types Examples Supply Chain Analytics Data Types Examples Customer Service Analytics Data Types Examples Merchandising Analytics Data Types Examples.



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