Marketing Strategy...Based on First Principles and Data Analytics?

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Brief

1. All customers differ 2. All customers change 3. All competitors react 4. All resources are limited Structured around these four First Principles of Marketing, this important new textbook offers a unique and extensively classroom-tested approach to marketing strategy. It provides a structured framework to develop effective strategies to deal with diverse marketing problems while integrating data analytics into the decision-making process. Authored by world-leading experts in marketing strategy, Marketing Strategy: First Principles and Data Analytics is the ideal companion for undergraduate, MBA and Executive MBA students of marketing, and practicing executives looking to bring a more systematic approach to their firms’ marketing strategy efforts.

Clinical Analytics and Data Management for the DNP?

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Brief

This is the only text to deliver the strong data management knowledge and skills that are required competencies for all DNP students. It enables readers to design data tracking and clinical analytics in order to rigorously evaluate clinical innovations and programs for improving clinical outcomes and to document and analyze change. This second edition has been expanded and updated to address major changes in our healthcare environment. Incorporating faculty and student input, it now includes modalities such as SPSS, Excel, and Tableau to address diverse data management tasks. Eleven new chapters cover the use of big data analytics, ongoing progress toward value-based payment, the Affordable Care Act and its future, shifting of risk and accountability to hospitals and clinicians, advancement of nursing quality indicators, and new requirements for Magnet® certification. The text takes the DNP student step by step through the complete process of data management from planning through presentation, and encompasses the scope of skills required for students to apply relevant analytics to systematically and confidently tackle the clinical interventions data obtained as part of the DNP student project. Of particular value is a progressive case study illustrating multiple techniques and methods throughout the chapters. Sample data sets and exercises, along with objectives, references, and examples in each chapter, reinforce information.

Forensic Analytics: Methods and Techniques?

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Brief

Each chapter, where applicable, includes one or more cases showing how the tests under discussion could have detected the fraud or anomalies. Also includes two chapters each describing multi-million-dollar fraud schemes and the insights that can be learned from those examples. These interesting real-world examples help to make the text accessible and understandable for accounting professionals and accounting students without rigorous backgrounds in mathematics and statistics. Emphasizing practical applications, the new edition shows how to use either Excel or Access to run these analytics tests. This authoritative book: Describes the use of statistically-based techniques including Benford’s Law, descriptive statistics, and the vector variation score to detect errors and anomalies  Shows how to run most of the tests in Access and Excel, and other data analysis software packages for a small sample of the tests  Applies the tests under review in each chapter to the same purchasing card data from a government entity  Includes interesting cases studies throughout that are linked to the tests being reviewed.  Includes two comprehensive case studies where data analytics could have detected the frauds before they reached multi-million-dollar levels  Includes a continually-updated companion website with the data sets used in the chapters, the queries used in the chapters, extra coverage of some topics or cases, end of chapter questions, and end of chapter cases.

Analytic Methods in Sports?

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Brief

One of the greatest changes in the sports world in the past 20 years has been the use of mathematical methods to analyze performances, recognize trends and patterns, and predict results. Analytic Methods in Sports: Using Mathematics and Statistics to Understand Data from Baseball, Football, Basketball, and Other Sports, Second Edition provides a concise yet thorough introduction to the analytic and statistical methods that are useful in studying sports. The book gives you all the tools necessary to answer key questions in sports analysis. It explains how to apply the methods to sports data and interpret the results, demonstrating that the analysis of sports data is often different from standard statistical analyses. The book integrates a large number of motivating sports examples throughout and offers guidance on computation and suggestions for further reading in each chapter.

Predictive HR Analytics, Text Mining & Network Analysis with Excel?

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Brief

Predictive HR Analytics, Text Mining & Organizational Network Analysis (ONA) are hot topics and powerful techniques to improve organization effectiveness. Best Buy is able to predict that a 0.1% increase in employee engagement results in an increase of $100,000 in the store’s annual income! VoloMetrix found that a salesperson’s network size within their company is a more important leading indicator of sales, than the time salespeople spend with customers! You don't need to spend months learning R programming & you don't need to buy expensive SPSS statistical software. This is the only book that teaches you how to use Microsoft Excel for Predictive HR Analytics, Text Mining & Organizational Network Analysis (ONA) with step-by-step print-screen instructions:

Who can handle People Analytics?

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Brief

Discover powerful hidden social "levers" and networks within your company… then, use that knowledge to make slight "tweaks" that dramatically improve both business performance and employee fulfillment! In People Analytics, MIT Media Lab innovator Ben Waber shows how sensors and analytics can give you an unprecedented understanding of how your people work and collaborate, and actionable insights for building a more effective, productive, and positive organization. Through cutting-edge case studies, Drawing on his cutting-edge work at MIT and Harvard, Waber addresses crucial issues ranging from technology to privacy, revealing what will be possible in a few years, and what you can achieve right now. In bringing the power of analytics to organizational development, he offers immense new opportunities to everyone with responsibility for workplace performance.

Are you in business without Analytics?

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Brief

Today, business success depends on making great decisions – and making them fast. Leading organizations apply sophisticated business analytics tools and technologies to evaluate vast amounts of data, glean new insights, and increase both the speed and quality of decision making. In The Best Thinking and Practices in Business Analytics from the Decision Sciences Institute , DSI has compiled award-winning and award-nominated contributions from its most recent conferences: papers that illuminate exceptionally high-value applications and research on analytics for decision-making. These papers have appeared in no other DSI collection. Explore them here, and you’ll discover powerful new opportunities for competitive advantage through analytics. For all business, academic, and organizational professionals concerned with the science of more effective decision-making; and for undergraduate students, graduate students, and certification candidates in all related fields.