Download or read book Behavior Analytics in Retail written by Ronny Max and published by AuthorHouse. This book was released on 2013-09-26 with total page 213 pages. Available in PDF, EPUB and Kindle. Book excerpt: What is the value of a bricks-and-mortar store? As retailers move to a multichannel world where the winners must overcome the challenges of pricing transparency, personalized marketing, and supply chain controls, most sales still occur in the physical site. Behavior Analytics is the science of studying the behavior of people. Schedule to Demand is a subset of Behavior Analytics, a method that correlates between traffic, sales and labor data, in order to optimize the productivity of employees and position them where they matter most. In Behavior Analytics for Retail, we will introduce the core metrics of Schedule to Demand; design the requirements for a Customer Service Model of the store, inside the store, and at the checkout; present technology options and accuracy requirements; and offer insights through case studies. Regardless of how the future will shape retail, the physical store will continue to exist, and thrive. We propose a framework for retailers, and others, on how to optimize store operations and profitability, and enhance the shopping experience by measuring, monitoring and predicting the behavior of employees and customers.

Download or read book Consumer Behaviour and Analytics written by Andrew Smith and published by Taylor & Francis. This book was released on 2023-11-08 with total page 231 pages. Available in PDF, EPUB and Kindle. Book excerpt: The second edition of Consumer Behaviour and Analytics provides a consumer behaviour textbook for the new marketing reality. In a world of Big Data, machine learning and artificial intelligence, this key text reviews the issues, research and concepts essential for navigating this new terrain. It demonstrates how we can use data-driven insight and merge this with insight from extant research to inform knowledge-driven decision-making. Adopting a practical and managerial lens, while also exploring the rich lineage of academic consumer research, this textbook approaches its subject from a refreshing and original standpoint. It contains numerous accessible examples, scenarios and exhibits, and condenses the disparate array of relevant work into a workable, coherent, synthesized and readable whole. Providing an effective tour of the concepts and ideas most relevant in the age of analytics-driven marketing (from data visualization to semiotics), the book concludes with an adaptive structure to inform managerial decision-making. Consumer Behaviour and Analytics provides a unique distillation from a vast array of social and behavioural research merged with the knowledge potential of digital insight. It offers an effective and efficient summary for undergraduate, postgraduate or executive courses in consumer behaviour and marketing analytics, and also functions as a supplementary text for other marketing modules. Online resources include PowerPoint slides.

Download or read book Behavioral Data Analysis with R and Python written by Florent Buisson and published by "O'Reilly Media, Inc.". This book was released on 2021-06-15 with total page 361 pages. Available in PDF, EPUB and Kindle. Book excerpt: Harness the full power of the behavioral data in your company by learning tools specifically designed for behavioral data analysis. Common data science algorithms and predictive analytics tools treat customer behavioral data, such as clicks on a website or purchases in a supermarket, the same as any other data. Instead, this practical guide introduces powerful methods specifically tailored for behavioral data analysis. Advanced experimental design helps you get the most out of your A/B tests, while causal diagrams allow you to tease out the causes of behaviors even when you can't run experiments. Written in an accessible style for data scientists, business analysts, and behavioral scientists, thispractical book provides complete examples and exercises in R and Python to help you gain more insight from your data--immediately. Understand the specifics of behavioral data Explore the differences between measurement and prediction Learn how to clean and prepare behavioral data Design and analyze experiments to drive optimal business decisions Use behavioral data to understand and measure cause and effect Segment customers in a transparent and insightful way

Download or read book Behavior Analysis with Machine Learning Using R written by Enrique Garcia Ceja and published by CRC Press. This book was released on 2021-11-26 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: Behavior Analysis with Machine Learning Using R introduces machine learning and deep learning concepts and algorithms applied to a diverse set of behavior analysis problems. It focuses on the practical aspects of solving such problems based on data collected from sensors or stored in electronic records. The included examples demonstrate how to perform common data analysis tasks such as: data exploration, visualization, preprocessing, data representation, model training and evaluation. All of this, using the R programming language and real-life behavioral data. Even though the examples focus on behavior analysis tasks, the covered underlying concepts and methods can be applied in any other domain. No prior knowledge in machine learning is assumed. Basic experience with R and basic knowledge in statistics and high school level mathematics are beneficial. Features: Build supervised machine learning models to predict indoor locations based on WiFi signals, recognize physical activities from smartphone sensors and 3D skeleton data, detect hand gestures from accelerometer signals, and so on. Program your own ensemble learning methods and use Multi-View Stacking to fuse signals from heterogeneous data sources. Use unsupervised learning algorithms to discover criminal behavioral patterns. Build deep learning neural networks with TensorFlow and Keras to classify muscle activity from electromyography signals and Convolutional Neural Networks to detect smiles in images. Evaluate the performance of your models in traditional and multi-user settings. Build anomaly detection models such as Isolation Forests and autoencoders to detect abnormal fish behaviors. This book is intended for undergraduate/graduate students and researchers from ubiquitous computing, behavioral ecology, psychology, e-health, and other disciplines who want to learn the basics of machine learning and deep learning and for the more experienced individuals who want to apply machine learning to analyze behavioral data.

Download or read book Retail Analytics written by Emmett Cox and published by John Wiley & Sons. This book was released on 2011-10-18 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: The inside scoop on boosting sales through spot-on analytics Retailers collect a huge amount of data, but don't know what to do with it. Retail Analytics not only provides a broad understanding of retail, but also shows how to put accumulated data to optimal use. Each chapter covers a different focus of the retail environment, from retail basics and organization structures to common retail database designs. Packed with case studies and examples, this book insightfully reveals how you can begin using your business data as a strategic advantage. Helps retailers and analysts to use analytics to sell more merchandise Provides fact-based analytic strategies that can be replicated with the same success the author achieved on a global level Reveals how retailers can begin using their data as a strategic advantage Includes examples from many retail departments illustrating successful use of data and analytics Analytics is the wave of the future. Put your data to strategic use with the proven guidance found in Retail Analytics.

Download or read book Pricing Online Marketing Behavior and Analytics written by G. Viglia and published by Palgrave Pivot. This book was released on 2015-10-09 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the past few decades marketing practices have shifted with the sudden growth of social media and the proliferation of devices, platforms, and applications. This rapidly changing environment presents new opportunities and challenges for marketers, who need to stay up to date with the development of e-marketing. Viglia instructs readers in the theories and practices of online marketing;, detailing the characteristics, consumer behaviors, and differences between platforms, analytics, and pricing strategies of new media. Pricing, Online Marketing Behavior, and Analytics covers many different aspects of how online marketing works and its continuous evolution. Case studies and examples are used throughout the book to outline theories and explain e-marketing characteristics in a practical way.

Download or read book Consumer Behaviour Analysis written by Gordon R. Foxall and published by . This book was released on 2002 with total page 1600 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Consumer Behavior Analysis written by Donald A. Hantula and published by Routledge. This book was released on 2014-01-21 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: Consumption is the primary economic activity in our post-industrial society. We are consumers, not producers. Consumer behavior analysis is leading heterodox marketing scholarship and innovative applied behavioral work, with much to offer both constituencies. This volume shows how consumer behavior analysis fits within a larger-scale approach to marketing, consumer psychology, behavior analysis and organizational behavior management. Describing both theoretical analyses and empirical studies including laboratory experiments in e-commerce, in-store experiments in grocery shopping, and an analysis of the counterfeit goods market, this book is a working example of translational research. It contains tools and studies to help understand contemporary consumer behavior, particularly for those in marketing. Scholars will appreciate the theory and real-world applications evident in each chapter when considering their own research direction. All students of marketing theory, behavior analysis and consumer choice will find this collection a thought-provoking tool for further understanding of a new behavioral approach to marketing strategy, consumer decisions and marketing firms. This book comprises articles originally published in the Journal of Organizational Behavior Management.

Download or read book Precision Retailing written by Laurette Dubé and published by University of Toronto Press. This book was released on 2024-03-01 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Without a doubt, the COVID-19 era has forced the retail sector to rethink the way it conducts business. Customer experience has largely shifted into the digital realm, and questions have emerged about how to best optimize and evolve business operations in light of this change. Drawing on a host of expert contributors, Precision Retailing takes a broad perspective on precision retailing as the interaction point between individuals and the organizations, institutions, systems, and policies that support them in ever-changing contexts. The book assembles precision retailing key concepts, methods, and tools that complement existing behavioral research. The decision support tools will help managers better capture in real time the multiscale drivers of consumer behavior and successfully integrate these into their retail strategy and tactics. Each chapter includes a short strategic brief for successful human-centered digital transformation that focuses squarely on actionable insights for practitioners. Shedding light on the way we understand and handle this complex customer journey, Precision Retailing examines how retail will evolve in the post-COVID era, shaping how businesses meet the inevitable continuation of the digital transition.

Download or read book Marketing Analytics written by José Marcos Carvalho de Mesquita and published by Taylor & Francis. This book was released on 2021-11-01 with total page 211 pages. Available in PDF, EPUB and Kindle. Book excerpt: Marketing Analytics provides guidelines in the application of statistics using IBM SPSS Statistics Software (SPSS) for students and professionals using quantitative methods in marketing and consumer behavior. With simple language and a practical, screenshot-led approach, the book presents 11 multivariate techniques and the steps required to perform analysis. Each chapter contains a brief description of the technique, followed by the possible marketing research applications. One of these applications is then used in detail to illustrate its applicability in a research context, including the needed SPSS commands and illustrations. Each chapter also includes practical exercises that require the readers to perform the technique and interpret the results, equipping students with the necessary skills to apply statistics by means of SPSS in marketing and consumer research. Finally, there is a list of articles employing the technique that can be used for further reading. This textbook provides introductory material for advanced undergraduate and postgraduate students studying marketing and consumer analytics, teaching methods along with practical software-applied training using SPSS. Support material includes two real data sets to illustrate the techniques’ applications and PowerPoint slides providing a step-by-step guide to the analysis and commented outcomes. Professionals are invited to use the book to select and use the appropriate analytics for their specific context.

Download or read book Big Data in Practice written by Bernard Marr and published by John Wiley & Sons. This book was released on 2016-03-22 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: The best-selling author of Big Data is back, this time with a unique and in-depth insight into how specific companies use big data. Big data is on the tip of everyone's tongue. Everyone understands its power and importance, but many fail to grasp the actionable steps and resources required to utilise it effectively. This book fills the knowledge gap by showing how major companies are using big data every day, from an up-close, on-the-ground perspective. From technology, media and retail, to sport teams, government agencies and financial institutions, learn the actual strategies and processes being used to learn about customers, improve manufacturing, spur innovation, improve safety and so much more. Organised for easy dip-in navigation, each chapter follows the same structure to give you the information you need quickly. For each company profiled, learn what data was used, what problem it solved and the processes put it place to make it practical, as well as the technical details, challenges and lessons learned from each unique scenario. Learn how predictive analytics helps Amazon, Target, John Deere and Apple understand their customers Discover how big data is behind the success of Walmart, LinkedIn, Microsoft and more Learn how big data is changing medicine, law enforcement, hospitality, fashion, science and banking Develop your own big data strategy by accessing additional reading materials at the end of each chapter

Download or read book Unlocking Retail Success Leveraging Analytics Stack Solutions for Data Driven Decision Making and Competitive Edge written by Olalekan Olaniru and published by . This book was released on 2024-01-07 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Seminar paper from the year 2023 in the subject Computer Science - Commercial Information Technology, grade: 2,0, International University of Applied Sciences, course: Analytical Software & Framework, language: English, abstract: This study focused on how an analytics stack solution can help a traditional retail company leverage the massive amount of data generated by various sales channels to improve its decision-making, productivity, and competitiveness. The analytics stack solution enables real-time tracking and analysis of customer behavior, sales performance, and market trends across physical stores, e-commerce, wholesale, and other channels. The study also examines the best deployment option (on-premise or cloud) for the analytics stack solution, considering the data type, volume, security, privacy, flexibility, and scaling factors. Furthermore, the study discusses the change management issues, essential components of a retail analytics stack and recommendations for adoption.

Download or read book Predicting Consumer In Store Purchase Using Real Time Retail Video Analytics written by Rubing Li and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The proliferation of cameras and their video data in retail marketing presents new opportunities for academics to study customer behavior with the newer video analytics tools. In collaboration with a large retail chain store in Asia, we obtained a unique video dataset collected from in-store cameras and combined it with customer-transaction data. By leveraging state-of-the-art computer vision techniques, we extracted features of customer demographics, physiological appearance, emotional expression, and contextual dimensions from the videos. We implemented facial-recognition and face-tracking algorithms to extract consumer behavior with a limited amount of human aid and obtained consumer facial features on a scalable basis. We propose herein a novel framework that can use machine learning and deep learning models to analyze combined video and customer-transaction data in any commercial context to predict customer purchase decisions. The results show that our framework could in fact be effectively used to make predictions of consumer offline purchase decisions, which successful outcome reveals the importance of incorporating emotional response into prediction. Overall, our study demonstrates how video-based content can be used to understand customer behavior along multiple dimensions on a scalable basis. Our findings 1) complement the literature that examined customer behavior by incorporating video data into analysis, 2) reveal the multi-dimensional drivers of purchase decisions in a retail setting, and 3) provide for an implementable video analytics tool that can be usefully employed by marketers and practitioners. An important managerial implication, furthermore, is that our framework can be incorporated into the omni-channel retailing context to provide a win-win for both firms and customers and generate possibilities for offline recommendations.

Download or read book Handbook of Research on Consumer Behavior Change and Data Analytics in the Socio Digital Era written by Keikhosrokiani, Pantea and published by IGI Global. This book was released on 2022-06-24 with total page 484 pages. Available in PDF, EPUB and Kindle. Book excerpt: The emergence of new technologies within the industrial revolution has transformed businesses to a new socio-digital era. In this new era, businesses are concerned with collecting data on customer needs, behaviors, and preferences for driving effective customer engagement and product development, as well as for crucial decision making. However, the ever-shifting behaviors of consumers provide many challenges for businesses to pinpoint the wants and needs of their audience. The Handbook of Research on Consumer Behavior Change and Data Analytics in the Socio-Digital Era focuses on the concepts, theories, and analytical techniques to track consumer behavior change. It provides multidisciplinary research and practice focusing on social and behavioral analytics to track consumer behavior shifts and improve decision making among businesses. Covering topics such as consumer sentiment analysis, emotional intelligence, and online purchase decision making, this premier reference source is a timely resource for business executives, entrepreneurs, data analysts, marketers, advertisers, government officials, social media professionals, libraries, students and educators of higher education, researchers, and academicians.

Download or read book How to Think Like a Behavior Analyst written by Jon Bailey and published by Routledge. This book was released on 2013-04-15 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: How to Think Like a Behavior Analyst is a revolutionary resource for understanding complex human behavior and making potentially significant quality of life improvements. Behavior analysts offer a worldview of the human condition different than almost any other professional perspective. To a behavior analyst, human behavior is largely learned and subject to change if the right variables are put into play. This is an empowering outlook, providing an opportunity for individuals to analyze the actions of those around them and an understanding of why others exhibit such behavior. Practical, clear, and direct, this book addresses basic questions such as how behavior analysis is different from psychotherapy, what analysis involves, and the meaning of evidence-based treatment. A chapter on Applications presents tips on using behavioral procedures to improve lives and deal with others, and articulates how behavioral procedures are used in community settings. In question and answer format, the text thoroughly covers 50 frequently asked questions about behavior analysis in an educational and entertaining manner. It was developed out of questions raised by students in behavior analysis classes over the last 35 years, as well as questions raised by consumers of behavior analysis services. This text is written for all professionals concerned with behavior, including undergraduate students in psychology and behavior analysis, parents, teachers, employers, and employees. The book can easily be used as a supplement to primary texts in introductory psychology courses, and the exercises that follow each question can be used to stimulate lively discussion in role-play and other active learning situations.

Download or read book Data Driven Modelling and Predictive Analytics in Business and Finance written by Alex Khang and published by CRC Press. This book was released on 2024-07-24 with total page 443 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data-driven and AI-aided applications are next-generation technologies that can be used to visualize and realize intelligent transactions in finance, banking, and business. These transactions will be enabled by powerful data-driven solutions, IoT technologies, AI-aided techniques, data analytics, and visualization tools. To implement these solutions, frameworks will be needed to support human control of intelligent computing and modern business systems. The power and consistency of data-driven competencies are a critical challenge, and so is developing explainable AI (XAI) to make data-driven transactions transparent. Data- Driven Modelling and Predictive Analytics in Business and Finance covers the need for intelligent business solutions and applications. Explaining how business applications use algorithms and models to bring out the desired results, the book covers: Data-driven modelling Predictive analytics Data analytics and visualization tools AI-aided applications Cybersecurity techniques Cloud computing IoT-enabled systems for developing smart financial systems This book was written for business analysts, financial analysts, scholars, researchers, academics, professionals, and students so they may be able to share and contribute new ideas, methodologies, technologies, approaches, models, frameworks, theories, and practices.

Download or read book Ask Measure Learn written by Lutz Finger and published by "O'Reilly Media, Inc.". This book was released on 2014-01-23 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: You can measure practically anything in the age of social media, but if you don’t know what you’re looking for, collecting mountains of data won’t yield a grain of insight. This non-technical guide shows you how to extract significant business value from big data with Ask-Measure-Learn, a system that helps you ask the right questions, measure the right data, and then learn from the results. Authors Lutz Finger and Soumitra Dutta originally devised this system to help governments and NGOs sift through volumes of data. With this book, these two experts provide business managers and analysts with a high-level overview of the Ask-Measure-Learn system, and demonstrate specific ways to apply social media analytics to marketing, sales, public relations, and customer management, using examples and case studies.