The field of analytics is rapidly evolving, making it difficult for professionals and students to keep up the most current and effective applications. Managerial Analytics will help readers sort through all these new options and identify the appropriate solution. In this reference, authors Watson, Nelson and Cacioppi accurately define and identify the components of analytics and big data, giving readers the knowledge needed to effectively assess new aspects and applications. Building on this foundation, they review tools and solutions, identify the offerings best aligned to one's requirements, and show how to tailor analytics applications to an organization's specific needs. Drawing on extensive experience implementing, planning, and researching advanced analytics for business, the authors clearly explain all this, and more: What analytics is and isn't: great examples of successful usage – and other examples where the term is being degraded into meaninglessness The difference between using analytics and “competing on analytics” How to get started with big data, by analyzing the most relevant data Components of analytics systems, from databases and Excel to BI systems and beyond Anticipating and overcoming “confirmation bias” and other pitfalls Understanding predictive analytics and getting the high-quality random samples necessary Applying game theory, Efficient Frontier, benchmarking, and revenue management models Implementing optimization at the small and large scale, and using it to make “automatic decisions”
This limited edition Managerial Analytics self-assessment will make you the assured Managerial Analytics domain authority by revealing just what you need to know to be fluent and ready for any Managerial Analytics challenge.
This book is for managers, advisors, consultants, specialists, professionals and anyone interested in Managerial Analytics assessment. All the tools you need to an in-depth Managerial Analytics Self-Assessment.
However, effective management is easier than you may think. It all boils down to answering one simple question: Are the things you're doing leading to the outcomes you want? This is the question that Managerial Analytics seeks to answer.
11. 12. 13. 14. 15. Lee, S. F., Sai On Ko, A. (2000). Building balanced scorecard with SWOT analysis, and implementing “Sun Tzu's The Art of Business Management Strategies” on QFD methodology. Managerial Auditing Journal, 15(1), 68–76.
The use of analytics on data relating to prior contacts has provided a capacity to anticipate complaints and offer a 24 × 7 service providing rapid answers to the issues that have been reported. Managerial Analytics Moving to the ...
While highlighting topics including e-commerce, machine learning, and fuzzy logic, this book is ideally designed for students, government officials, data scientists, managers, consultants, analysts, IT specialists, academicians, researchers ...
Managerial analytics support decisions a level down in the organization from top leadership. At this level, needs for analysis link to specific functions, such as Treasury, Product Management ...
This book is about innovation, big data, and data science seen from a business perspective.
Driving Business Value with Analytics Michele Chambers, Thomas W. Dinsmore. manager of that program, however, may be intensely interested in its operational details but have no interest in the performance of other programs.
Organized by analytical technique, Advances in Business, Operations, and Product Analytics covers: Descriptive analytics: descriptive statistics, sampling/inferential statistics, statistical quality control, and probability Predictive ...