Cutting Edge Marketing Analytics

Author: Rajkumar Venkatesan
Publisher: Pearson Education
ISBN: 9780133552577
Release Date: 2014-06-10
Genre: Business & Economics

Master practical strategic marketing analysis through real-life case studies and hands-on examples. In Cutting Edge Marketing Analytics, three pioneering experts integrate all three core areas of marketing analytics: statistical analysis, experiments, and managerial intuition. They fully detail a best-practice marketing analytics methodology, augmenting it with case studies that illustrate the quantitative and data analysis tools you'll need to allocate resources, define optimal marketing mixes; perform effective analysis of customers and digital marketing campaigns, and create high-value dashboards and metrics. For each marketing problem, the authors help you: Identify the right data and analytics techniques Conduct the analysis and obtain insights from it Outline what-if scenarios and define optimal solutions Connect your insights to strategic decision-making Each chapter contains technical notes, statistical knowledge, case studies, and real data you can use to perform the analysis yourself. As you proceed, you'll gain an in-depth understanding of: The real value of marketing analytics How to integrate quantitative analysis with managerial sensibility How to apply linear regression, logistic regression, cluster analysis, and Anova models The crucial role of careful experimental design For all marketing professionals specializing in marketing analytics and/or business intelligence; and for students and faculty in all graduate-level business courses covering Marketing Analytics, Marketing Effectiveness, or Marketing Metrics

Cutting edge Marketing Analytics

Author: Rajkumar Venkatesan
Publisher: Pearson Education
ISBN: 9780133552522
Release Date: 2014
Genre: Business & Economics

Master practical strategic marketing analysis through real-life case studies and hands-on examples. In Cutting Edge Marketing Analytics, three pioneering experts integrate all three core areas of marketing analytics: statistical analysis, experiments, and managerial intuition. They fully detail a best-practice marketing analytics methodology, augmenting it with case studies that illustrate the quantitative and data analysis tools you'll need to allocate resources, define optimal marketing mixes; perform effective analysis of customers and digital marketing campaigns, and create high-value dashboards and metrics. For each marketing problem, the authors help you: Identify the right data and analytics techniques Conduct the analysis and obtain insights from it Outline what-if scenarios and define optimal solutions Connect your insights to strategic decision-making Each chapter contains technical notes, statistical knowledge, case studies, and real data you can use to perform the analysis yourself. As you proceed, you'll gain an in-depth understanding of: The real value of marketing analytics How to integrate quantitative analysis with managerial sensibility How to apply linear regression, logistic regression, cluster analysis, and Anova models The crucial role of careful experimental design For all marketing professionals specializing in marketing analytics and/or business intelligence; and for students and faculty in all graduate-level business courses covering Marketing Analytics, Marketing Effectiveness, or Marketing Metrics

Marketing Analytics

Author: Wayne L. Winston
Publisher: John Wiley & Sons
ISBN: 9781118417300
Release Date: 2014-01-08
Genre: Computers

Helping tech-savvy marketers and data analysts solve real-world business problems with Excel Using data-driven business analytics to understand customers and improve results is a great idea in theory, but in today's busy offices, marketers and analysts need simple, low-cost ways to process and make the most of all that data. This expert book offers the perfect solution. Written by data analysis expert Wayne L. Winston, this practical resource shows you how to tap a simple and cost-effective tool, Microsoft Excel, to solve specific business problems using powerful analytic techniques—and achieve optimum results. Practical exercises in each chapter help you apply and reinforce techniques as you learn. Shows you how to perform sophisticated business analyses using the cost-effective and widely available Microsoft Excel instead of expensive, proprietary analytical tools Reveals how to target and retain profitable customers and avoid high-risk customers Helps you forecast sales and improve response rates for marketing campaigns Explores how to optimize price points for products and services, optimize store layouts, and improve online advertising Covers social media, viral marketing, and how to exploit both effectively Improve your marketing results with Microsoft Excel and the invaluable techniques and ideas in Marketing Analytics: Data-Driven Techniques with Microsoft Excel.

Modern Analytics Methodologies

Author: Michele Chambers
Publisher: Pearson Education
ISBN: 9780133498837
Release Date: 2014-07-09
Genre: Computers

Create a complete roadmap for capitalizing on analytics to grow topline revenue and build shareholder value in your unique organization! Modern Analytics Methodologies goes far beyond the classic Analytics Maturity Model to help you overcome the gaps between your current analytics capabilities and where you need to go. Pioneering analytics experts Michele Chambers and Thomas Dinsmore help you implement analytics that supports your strategy, aligns with your culture, and serves your customers and stakeholders. Drawing on work with dozens of leading enterprises, Michele Chambers and Thomas Dinsmore describe high-value applications from many industries, and help you systematically identify and deliver on your company's best opportunities. Writing for both professionals and students, they show how to: Leverage the convergence of macro trends ranging from "flattening" and "green" to Big Data and machine learning Go beyond the Analytics Maturity Model: power your unique business strategy with an equally focused analytics strategy Link key business objectives with core characteristics of your organization, value chain, and stakeholders Take advantage of game changing opportunities before competitors do Effectively integrate the managerial and operational aspects of analytics Measure performance with dashboards, scorecards, visualization, simulation, and more Prioritize and score prospective analytics projects Identify "Quick Wins" you can implement while you're planning for the long-term Build an effective Analytic Program Office to make your roadmap persistent Update and revise your roadmap for new needs and technologies Modern Analytics Methodologies will be an indispensable resource for any executive or professional concerned with analytics, including Chief Analytics Officers; Chief Data Officers; Chief Scientists; Chief Marketing Officers; Chief Risk Officers; Chief Strategy Officers; VPs of Analytics or Big Data; data scientists; business strategists; and line-of-business executives.

Marketing Strategy

Author: Robert W. Palmatier
Publisher: Macmillan International Higher Education
ISBN: 9781137526243
Release Date: 2017-02-23
Genre: Business & Economics

A brand new textbook with an innovative and exciting approach to marketing strategy. Moving away from the outdated 4Ps model to a new approach that reflects real-world companies responding to a differing and dynamic customer base. Research-based and action-orientated, it equips students with the tools to succeed in today's competitive markets.

Marketing Data Science

Author: Thomas W. Miller
Publisher: FT Press
ISBN: 9780133887341
Release Date: 2015-05-02
Genre: Business & Economics

Now , a leader of Northwestern University's prestigious analytics program presents a fully-integrated treatment of both the business and academic elements of marketing applications in predictive analytics. Writing for both managers and students, Thomas W. Miller explains essential concepts, principles, and theory in the context of real-world applications. Building on Miller's pioneering program, Marketing Data Science thoroughly addresses segmentation, target marketing, brand and product positioning, new product development, choice modeling, recommender systems, pricing research, retail site selection, demand estimation, sales forecasting, customer retention, and lifetime value analysis. Starting where Miller's widely-praised Modeling Techniques in Predictive Analytics left off, he integrates crucial information and insights that were previously segregated in texts on web analytics, network science, information technology, and programming. Coverage includes: The role of analytics in delivering effective messages on the web Understanding the web by understanding its hidden structures Being recognized on the web – and watching your own competitors Visualizing networks and understanding communities within them Measuring sentiment and making recommendations Leveraging key data science methods: databases/data preparation, classical/Bayesian statistics, regression/classification, machine learning, and text analytics Six complete case studies address exceptionally relevant issues such as: separating legitimate email from spam; identifying legally-relevant information for lawsuit discovery; gleaning insights from anonymous web surfing data, and more. This text's extensive set of web and network problems draw on rich public-domain data sources; many are accompanied by solutions in Python and/or R. Marketing Data Science will be an invaluable resource for all students, faculty, and professional marketers who want to use business analytics to improve marketing performance.

Cluster Analysis and Data Mining

Author: Ronald S. King
Publisher: Stylus Publishing, LLC
ISBN: 9781942270133
Release Date: 2015-05-12
Genre: Computers

Cluster analysis is used in data mining and is a common technique for statistical data analysis used in many fields of study, such as the medical & life sciences, behavioral & social sciences, engineering, and in computer science. Designed for training industry professionals or for a course on clustering and classification, it can also be used as a companion text for applied statistics. No previous experience in clustering or data mining is assumed. Informal algorithms for clustering data and interpreting results are emphasized. In order to evaluate the results of clustering and to explore data, graphical methods and data structures are used for representing data. Throughout the text, examples and references are provided, in order to enable the material to be comprehensible for a diverse audience. A companion disc includes numerous appendices with programs, data, charts, solutions, etc. eBook Customers: Companion files are available for downloading with order number/proof of purchase by writing to the publisher at [email protected] FEATURES *Places emphasis on illustrating the underlying logic in making decisions during the cluster analysis *Discusses the related applications of statistic, e.g., Ward’s method (ANOVA), JAN (regression analysis & correlational analysis), cluster validation (hypothesis testing, goodness-of-fit, Monte Carlo simulation, etc.) *Contains separate chapters on JAN and the clustering of categorical data *Includes a companion disc with solutions to exercises, programs, data sets, charts, etc.

R for Marketing Research and Analytics

Author: Chris Chapman
Publisher: Springer
ISBN: 9783319144368
Release Date: 2015-03-09
Genre: Business & Economics

This book is a complete introduction to the power of R for marketing research practitioners. The text describes statistical models from a conceptual point of view with a minimal amount of mathematics, presuming only an introductory knowledge of statistics. Hands-on chapters accelerate the learning curve by asking readers to interact with R from the beginning. Core topics include the R language, basic statistics, linear modeling, and data visualization, which is presented throughout as an integral part of analysis. Later chapters cover more advanced topics yet are intended to be approachable for all analysts. These sections examine logistic regression, customer segmentation, hierarchical linear modeling, market basket analysis, structural equation modeling, and conjoint analysis in R. The text uniquely presents Bayesian models with a minimally complex approach, demonstrating and explaining Bayesian methods alongside traditional analyses for analysis of variance, linear models, and metric and choice-based conjoint analysis. With its emphasis on data visualization, model assessment, and development of statistical intuition, this book provides guidance for any analyst looking to develop or improve skills in R for marketing applications.

The New Business Road Test

Author: John Mullins
Publisher: Pearson UK
ISBN: 9781292208411
Release Date: 2017-12-15
Genre: Business & Economics

ROAD TEST YOUR IDEA BEFORE YOU LAUNCH YOUR LEAN START-UP Thinking about starting a new business? Stop! Is there a genuine market for your idea? Do you really want to compete in that industry? Are you the right person to pursue it? No matter how talented you are or how much capital you have, if you’re pursuing a fundamentally flawed opportunity then you’re heading for failure. So before you launch your lean start-up, take your idea for a test drive and make sure it has a fighting chance of working. Now in its fifth edition, The New Business Road Test is the essential handbook for anyone wanting to launch a start-up. The new and fully updated case studies – Ella's Kitchen, Whole Foods, eBay and more – and ‘seven domains’ framework will help you avoid impending disaster and enhance your chances of achieving your entrepreneurial dreams. This book will help you answer the live-or-die questions: · Are the market and industry attractive? · Does the opportunity offer both customer benefits as well as competitive and economic sustainability? · Can you deliver the results you seek? The accompanying app (available on iTunes and Android) makes it easy to assemble all the evidence you need for your road test, wherever you are. www.newbusinessroadtest.com

Creating Value with Big Data Analytics

Author: Peter C. Verhoef
Publisher: Routledge
ISBN: 9781317561927
Release Date: 2016-01-08
Genre: Business & Economics

Our newly digital world is generating an almost unimaginable amount of data about all of us. Such a vast amount of data is useless without plans and strategies that are designed to cope with its size and complexity, and which enable organisations to leverage the information to create value. This book is a refreshingly practical, yet theoretically sound roadmap to leveraging big data and analytics. Creating Value with Big Data Analytics provides a nuanced view of big data development, arguing that big data in itself is not a revolution but an evolution of the increasing availability of data that has been observed in recent times. Building on the authors’ extensive academic and practical knowledge, this book aims to provide managers and analysts with strategic directions and practical analytical solutions on how to create value from existing and new big data. By tying data and analytics to specific goals and processes for implementation, this is a much-needed book that will be essential reading for students and specialists of data analytics, marketing research, and customer relationship management.

Supply Chain Network Design

Author: Michael Watson
Publisher: Pearson Education
ISBN: 9780133017373
Release Date: 2013
Genre: Business & Economics

Using strategic supply chain network design, companies can drive consistent dramatic savings throughout their global supply chains. Logistics experts at IBM and Northwestern University have brought together the rigorous principles and the practical applications supply chain designers need to improve the flow of physical products across the globe.

Understanding Machine Learning

Author: Shai Shalev-Shwartz
Publisher: Cambridge University Press
ISBN: 9781107057135
Release Date: 2014-05-19
Genre: Computers

Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying their usage.

Whatever Happened to Thrift

Author: Ronald T. Wilcox
Publisher: Yale University Press
ISBN: 9780300145328
Release Date: 2008-10-01
Genre: Business & Economics

It is no secret that Americans save very little: every economic index confirms as much. But to solve the real mystery, we must ask the questions, Why? What are the effects on our economy? and What can be done about it? In this thoroughly researched and thought-provoking book, Ronald T. Wilcox clearly describes not only how the savings crisis adversely influences personal lifestyles over the long term but also how it can undermine our national wealth and standard of living. Wilcox cogently explains that savings are essential to fuel our nations economic growth, whether its putting money in the bank or in the form of direct loans to the government as savings bonds, for example. And, he presents unambiguous facts showing that a high proportion of current wage earners simply will not have enough money for self-support during retirementand that the government safety nets for income and health can no longer be counted on. Most important, Wilcox examines the many rational and irrational reasons behind individuals failures to put money away, what third parties such as corporations and government can do to help, and the steps people can take today to help themselves. The book is an attempt to reinvent thrift in the United States, to find practical ways to help people consume less and save more now so that we can be a richer people in the future and a more prosperous nation. It is a must-read for every corporate executive, policy maker, and concerned citizen.

Data Mining Applications with R

Author: Yanchang Zhao
Publisher: Academic Press
ISBN: 9780124115200
Release Date: 2013-11-26
Genre: Computers

Data Mining Applications with R is a great resource for researchers and professionals to understand the wide use of R, a free software environment for statistical computing and graphics, in solving different problems in industry. R is widely used in leveraging data mining techniques across many different industries, including government, finance, insurance, medicine, scientific research and more. This book presents 15 different real-world case studies illustrating various techniques in rapidly growing areas. It is an ideal companion for data mining researchers in academia and industry looking for ways to turn this versatile software into a powerful analytic tool. R code, Data and color figures for the book are provided at the RDataMining.com website. Helps data miners to learn to use R in their specific area of work and see how R can apply in different industries Presents various case studies in real-world applications, which will help readers to apply the techniques in their work Provides code examples and sample data for readers to easily learn the techniques by running the code by themselves

Measuring the Digital World

Author: Gary Angel
Publisher: FT Press
ISBN: 9780134195131
Release Date: 2015-11-20
Genre: Computers

This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. The definitive guide to next generation digital measurement; Indispensable insight for building high-value digital experiences! Helps you capture the knowledge you need to deliver deep personalization at scale Reflects today’s latest insights into digital behavior and consumer psychology For every digital marketer, analyst, and executive who wants to improve performance To win at digital, you must capture the right data, quickly transform it into the right knowledge,and use them both to deliver deep personalization at scale. Conventional digital metrics simply aren’t up to the task. Now, Gary Angel shows how to reinvent digital measurement so it delivers all you need to create richer, more compelling digital experiences. Angel shows how to transform “raw facts” about digital behavior into meaningful knowledge about your visitors… what they were trying to accomplish…how well you helped them… how you can personalize and optimize their digital experiences from now on… how you can use measurement to provide deep personalization at scale.