| cutting edge marketing analytics: Cutting-edge Marketing Analytics Rajkumar Venkatesan, Paul Farris, Ronald T. Wilcox, 2015 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: Cutting-edge Marketing Analytics Rajkumar Venkatesan, Rajkumar Venkatesan. Paul Farris. Ronald T. Wilcox, 2014 |
| cutting edge marketing analytics: Marketing Analytics Rajkumar Venkatesan, Paul W. Farris, Ronald T. Wilcox, 2021-01-13 The authors of the pioneering Cutting-Edge Marketing Analytics return to the vital conversation of leveraging big data with Marketing Analytics: Essential Tools for Data-Driven Decisions, which updates and expands on the earlier book as we enter the 2020s. As they illustrate, big data analytics is the engine that drives marketing, providing a forward-looking, predictive perspective for marketing decision-making. The book presents actual cases and data, giving readers invaluable real-world instruction. The cases show how to identify relevant data, choose the best analytics technique, and investigate the link between marketing plans and customer behavior. These actual scenarios shed light on the most pressing marketing questions, such as setting the optimal price for one’s product or designing effective digital marketing campaigns. Big data is currently the most powerful resource to the marketing professional, and this book illustrates how to fully harness that power to effectively maximize marketing efforts. |
| cutting edge marketing analytics: Cutting-Edge Digital Marketing Alex Polishchuk, Anton Voroniuk, 2021-04-22 Digital marketing is an innovative way to attract a large audience to your online project. There are a wide variety of online marketing techniques that you can use, such as social media marketing, content marketing, email marketing, search engine optimization, affiliate marketing, inbound marketing, mobile marketing, display advertising, paid search, web analytics, conversion optimization, etc. In this digital marketing book, we will discuss how to make these marketing techniques work in sync with each other.Role of digital marketing in 2021The COVID-19 pandemic has made a significant impact on the digitization process. The digital world is a part of our lives now more than ever. According to the Q2 2020 report from the U.S. Census Bureau, U.S. retail e-commerce has reached $211.5 billion. That's up 31.8% from the first quarter and up 44.5% year-over-year.Industry experts, marketing professionals, and digital marketers believe that digital marketing influence will continue to grow.After reading this book, you will have: - A clear picture of your competitors' activity online.- A set of tools to track your work's effectiveness, and you will be able to monitor what your team is doing.- Understand how to attract customers from search engines, social networks, and mailing lists.- How to form checklists and detailed guides for further independent work on your project.Types and examples of digital marketingNowadays, digital marketing is everywhere! Digital marketers communicate with audiences through search engine marketing, social media marketing, paid search, content strategy, display advertising, marketing analytics, big data, and machine learning. If you think that Big Tech is watching you online, you are certainly right!Digital marketing specialists work with massive amounts of data and analytic tools to target ads better.Why should you choose this digital marketing book?So why should you choose us over other online books and digital marketing training? You will have the opportunity to learn digital marketing online from top internet marketing professionals: We are industry experts! We have over 12 years of experience in online marketing. Our agency has Google Premier Partner and Facebook Marketing Partner status.I've personally collected a vast amount of digital marketing qualifications and marketing certifications (Google Analytics Individual Qualification, Google Ads Individual Qualification, Bing Ads Accredited Professional, Search Ads360 Certified, and others)We've launched over 1,500 successful marketing strategies and marketing campaigns during our careersWe have over 9,000 digital marketing specialists enrolled in our online books, and they all passed their Google Analytics and Google Ads digital marketing certifications.Our digital marketing books are easy to understand. |
| cutting edge marketing analytics: The AI Marketing Canvas Raj Venkatesan, Jim Lecinski, 2021-05-18 This book offers a direct, actionable plan CMOs can use to map out initiatives that are properly sequenced and designed for success—regardless of where their marketing organization is in the process. The authors pose the following critical questions to marketers: (1) How should modern marketers be thinking about artificial intelligence and machine learning? and (2) How should marketers be developing a strategy and plan to implement AI into their marketing toolkit? The opening chapters provide marketing leaders with an overview of what exactly AI is and how is it different than traditional computer science approaches. Venkatesan and Lecinski, then, propose a best-practice, five-stage framework for implementing what they term the AI Marketing Canvas. Their approach is based on research and interviews they conducted with leading marketers, and offers many tangible examples of what brands are doing at each stage of the AI Marketing Canvas. By way of guidance, Venkatesan and Lecinski provide examples of brands—including Google, Lyft, Ancestry.com, and Coca-Cola—that have successfully woven AI into their marketing strategies. The book concludes with a discussion of important implications for marketing leaders—for your team and culture. |
| cutting edge marketing analytics: Marketing Analytics Wayne L. Winston, 2014-01-08 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. |
| cutting edge marketing analytics: Marketing Analysis in Sport Business Kevin K Byon, Brian H Yim, James J. Zhang, 2022-07-15 This book explores sport marketing analytics, an essential and crucially important aspect of contemporary sport business. Successful sport marketing begins and ends with the consumer, so understanding the consumer experience is critical. Marketing Analysis in Sport Business demonstrates how rigorous analytical procedures are the key to developing effective, evidence-based marketing practices that reflect real consumer needs. Presenting cutting-edge case studies of sport marketing analytics in action, the book explores topics such as digital communications, social media, digital ticketing, event marketing, the economic impact of COVID-19, developing sport brands, and conducting research with athletes and event participants. Written by a team of authors from 15 countries, including Australia, China, France, Iran, Italy, Japan, Mexico, New Zealand, Serbia, South Korea, Spain, Taiwan, the United Kingdom, the United States, and Venezuela, the book offers insight from a variety of cultural contexts and new perspectives on the global sport industry. Marketing Analysis in Sport Business is illuminating reading for any advanced student, researcher or professional working in sport business and management, sport development, marketing, strategic management, or international business. |
| cutting edge marketing analytics: Advanced Digital Marketing Strategies in a Data-Driven Era Saura, Jose Ramon, 2021-06-25 In the last decade, the use of data sciences in the digital marketing environment has increased. Digital marketing has transformed how companies communicate with their customers around the world. The increase in the use of social networks and how users communicate with companies on the internet has given rise to new business models based on the bidirectionality of communication between companies and internet users. Digital marketing, new business models, data-driven approaches, online advertising campaigns, and other digital strategies have gathered user opinions and comments through this new online channel. In this way, companies are beginning to see the digital ecosystem as not only the present but also the future. However, despite these advances, relevant evidence on the measures to improve the management of data sciences in digital marketing remains scarce. Advanced Digital Marketing Strategies in a Data-Driven Era contains high-quality research that presents a holistic overview of the main applications of data sciences to digital marketing and generates insights related to the creation of innovative data mining and knowledge discovery techniques applied to traditional and digital marketing strategies. The book analyzes how companies are adopting these new data-driven methods and how these strategies influence digital marketing. Discussing topics such as digital strategies, social media marketing, big data, marketing analytics, and data sciences, this book is essential for marketers, digital marketers, advertisers, brand managers, managers, executives, social media analysts, IT specialists, data scientists, students, researchers, and academicians in the field. |
| cutting edge marketing analytics: People Analytics Ben Waber, 2013-04-24 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, Waber shows how: Changing the way call center employees spent their breaks increased performance by 25% while significantly reducing stress Quantifying the failure of marketing and customer service to communicate led to a more cohesive and profitable organization Tweaking the balance of in-person and electronic communication can enhance the value of both Sensor data can help you discover who your internal experts really are Identifying employees involved in creative behaviors can help you promote innovation throughout your business Sensors and simulations can help you optimize your sick-day policies Measuring informal interactions can improve the chances that a merger, acquisition, or mega-project will succeed 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. |
| cutting edge marketing analytics: Data Science for Marketing Analytics Mirza Rahim Baig, Gururajan Govindan, Vishwesh Ravi Shrimali, 2021-09-07 Turbocharge your marketing plans by making the leap from simple descriptive statistics in Excel to sophisticated predictive analytics with the Python programming language Key FeaturesUse data analytics and machine learning in a sales and marketing contextGain insights from data to make better business decisionsBuild your experience and confidence with realistic hands-on practiceBook Description Unleash the power of data to reach your marketing goals with this practical guide to data science for business. This book will help you get started on your journey to becoming a master of marketing analytics with Python. You'll work with relevant datasets and build your practical skills by tackling engaging exercises and activities that simulate real-world market analysis projects. You'll learn to think like a data scientist, build your problem-solving skills, and discover how to look at data in new ways to deliver business insights and make intelligent data-driven decisions. As well as learning how to clean, explore, and visualize data, you'll implement machine learning algorithms and build models to make predictions. As you work through the book, you'll use Python tools to analyze sales, visualize advertising data, predict revenue, address customer churn, and implement customer segmentation to understand behavior. By the end of this book, you'll have the knowledge, skills, and confidence to implement data science and machine learning techniques to better understand your marketing data and improve your decision-making. What you will learnLoad, clean, and explore sales and marketing data using pandasForm and test hypotheses using real data sets and analytics toolsVisualize patterns in customer behavior using MatplotlibUse advanced machine learning models like random forest and SVMUse various unsupervised learning algorithms for customer segmentationUse supervised learning techniques for sales predictionEvaluate and compare different models to get the best outcomesOptimize models with hyperparameter tuning and SMOTEWho this book is for This marketing book is for anyone who wants to learn how to use Python for cutting-edge marketing analytics. Whether you're a developer who wants to move into marketing, or a marketing analyst who wants to learn more sophisticated tools and techniques, this book will get you on the right path. Basic prior knowledge of Python and experience working with data will help you access this book more easily. |
| cutting edge marketing analytics: Predictive Marketing Omer Artun, Dominique Levin, 2015-08-06 Make personalized marketing a reality with this practical guide to predictive analytics Predictive Marketing is a predictive analytics primer for organizations large and small, offering practical tips and actionable strategies for implementing more personalized marketing immediately. The marketing paradigm is changing, and this book provides a blueprint for navigating the transition from creative- to data-driven marketing, from one-size-fits-all to one-on-one, and from marketing campaigns to real-time customer experiences. You'll learn how to use machine-learning technologies to improve customer acquisition and customer growth, and how to identify and re-engage at-risk or lapsed customers by implementing an easy, automated approach to predictive analytics. Much more than just theory and testament to the power of personalized marketing, this book focuses on action, helping you understand and actually begin using this revolutionary approach to the customer experience. Predictive analytics can finally make personalized marketing a reality. For the first time, predictive marketing is accessible to all marketers, not just those at large corporations — in fact, many smaller organizations are leapfrogging their larger counterparts with innovative programs. This book shows you how to bring predictive analytics to your organization, with actionable guidance that get you started today. Implement predictive marketing at any size organization Deliver a more personalized marketing experience Automate predictive analytics with machine learning technology Base marketing decisions on concrete data rather than unproven ideas Marketers have long been talking about delivering personalized experiences across channels. All marketers want to deliver happiness, but most still employ a one-size-fits-all approach. Predictive Marketing provides the information and insight you need to lift your organization out of the campaign rut and into the rarefied atmosphere of a truly personalized customer experience. |
| cutting edge marketing analytics: AI in Marketing, Sales and Service Peter Gentsch, 2018-10-22 AI and Algorithmics have already optimized and automated production and logistics processes. Now it is time to unleash AI on the administrative, planning and even creative procedures in marketing, sales and management. This book provides an easy-to-understand guide to assessing the value and potential of AI and Algorithmics. It systematically draws together the technologies and methods of AI with clear business scenarios on an entrepreneurial level. With interviews and case studies from those cutting edge businesses and executives who are already leading the way, this book shows you: how customer and market potential can be automatically identified and profiled; how media planning can be intelligently automated and optimized with AI and Big Data; how (chat)bots and digital assistants can make communication between companies and consumers more efficient and smarter; how you can optimize Customer Journeys based on Algorithmics and AI; and how to conduct market research in more efficient and smarter way. A decade from now, all businesses will be AI businesses – Gentsch shows you how to make sure yours makes that transition better than your competitors. |
| cutting edge marketing analytics: Artificial Intelligence for Marketing Jim Sterne, 2017-08-14 A straightforward, non-technical guide to the next major marketing tool Artificial Intelligence for Marketing presents a tightly-focused introduction to machine learning, written specifically for marketing professionals. This book will not teach you to be a data scientist—but it does explain how Artificial Intelligence and Machine Learning will revolutionize your company's marketing strategy, and teach you how to use it most effectively. Data and analytics have become table stakes in modern marketing, but the field is ever-evolving with data scientists continually developing new algorithms—where does that leave you? How can marketers use the latest data science developments to their advantage? This book walks you through the need-to-know aspects of Artificial Intelligence, including natural language processing, speech recognition, and the power of Machine Learning to show you how to make the most of this technology in a practical, tactical way. Simple illustrations clarify complex concepts, and case studies show how real-world companies are taking the next leap forward. Straightforward, pragmatic, and with no math required, this book will help you: Speak intelligently about Artificial Intelligence and its advantages in marketing Understand how marketers without a Data Science degree can make use of machine learning technology Collaborate with data scientists as a subject matter expert to help develop focused-use applications Help your company gain a competitive advantage by leveraging leading-edge technology in marketing Marketing and data science are two fast-moving, turbulent spheres that often intersect; that intersection is where marketing professionals pick up the tools and methods to move their company forward. Artificial Intelligence and Machine Learning provide a data-driven basis for more robust and intensely-targeted marketing strategies—and companies that effectively utilize these latest tools will reap the benefit in the marketplace. Artificial Intelligence for Marketing provides a nontechnical crash course to help you stay ahead of the curve. |
| cutting edge marketing analytics: Marketing Analytics: A Practitioner's Guide To Marketing Analytics And Research Methods Ashok Charan, 2015-05-20 The digital age has transformed the very nature of marketing. Armed with smartphones, tablets, PCs and smart TVs, consumers are increasingly hanging out on the internet. Cyberspace has changed the way they communicate, and the way they shop and buy. This fluid, de-centralized and multidirectional medium is changing the way brands engage with consumers.At the same time, technology and innovation, coupled with the explosion of business data, has fundamentally altered the manner we collect, process, analyse and disseminate market intelligence. The increased volume, variety and velocity of information enables marketers to respond with much greater speed, to changes in the marketplace. Market intelligence is timelier, less expensive, and more accurate and actionable.Anchored in this age of transformations, Marketing Analytics is a practitioner's guide to marketing management in the 21st century. The text devotes considerable attention to the way market analytic techniques and market research processes are being refined and re-engineered. Written by a marketing veteran, it is intended to guide marketers as they craft market strategies, and execute their day to day tasks. |
| cutting edge marketing analytics: Marketing Strategy Robert W. Palmatier, Shrihari Sridhar, 2020-12-31 Marketing Strategy offers a unique and dynamic approach based on four underlying principles that underpin marketing today: All customers differ; All customers change; All competitors react; and All resources are limited. The structured framework of this acclaimed textbook allows marketers to develop effective and flexible strategies to deal with diverse marketing problems under varying circumstances. Uniquely integrating marketing analytics and data driven techniques with fundamental strategic pillars the book exemplifies a contemporary, evidence-based approach. This base toolkit will support students' decision-making processes and equip them for a world driven by big data. The second edition builds on the first's successful core foundation, with additional pedagogy and key updates. Research-based, action-oriented, and authored by world-leading experts, Marketing Strategy is the ideal resource for advanced undergraduate, MBA, and EMBA students of marketing, and executives looking to bring a more systematic approach to corporate marketing strategies. New to this Edition: - Revised and updated throughout to reflect new research and industry developments, including expanded coverage of digital marketing, influencer marketing and social media strategies - Enhanced pedagogy including new Worked Examples of Data Analytics Techniques and unsolved Analytics Driven Case Exercises, to offer students hands-on practice of data manipulation as well as classroom activities to stimulate peer-to-peer discussion - Expanded range of examples to cover over 250 diverse companies from 25 countries and most industry segments - Vibrant visual presentation with a new full colour design |
| cutting edge marketing analytics: Big Data, Big Analytics Michael Minelli, Michele Chambers, Ambiga Dhiraj, 2013-01-22 Unique prospective on the big data analytics phenomenon for both business and IT professionals The availability of Big Data, low-cost commodity hardware and new information management and analytics software has produced a unique moment in the history of business. The convergence of these trends means that we have the capabilities required to analyze astonishing data sets quickly and cost-effectively for the first time in history. These capabilities are neither theoretical nor trivial. They represent a genuine leap forward and a clear opportunity to realize enormous gains in terms of efficiency, productivity, revenue and profitability. The Age of Big Data is here, and these are truly revolutionary times. This timely book looks at cutting-edge companies supporting an exciting new generation of business analytics. Learn more about the trends in big data and how they are impacting the business world (Risk, Marketing, Healthcare, Financial Services, etc.) Explains this new technology and how companies can use them effectively to gather the data that they need and glean critical insights Explores relevant topics such as data privacy, data visualization, unstructured data, crowd sourcing data scientists, cloud computing for big data, and much more. |
| cutting edge marketing analytics: Predictive Analytics Eric Siegel, 2016-01-12 Mesmerizing & fascinating... —The Seattle Post-Intelligencer The Freakonomics of big data. —Stein Kretsinger, founding executive of Advertising.com Award-winning | Used by over 30 universities | Translated into 9 languages An introduction for everyone. In this rich, fascinating — surprisingly accessible — introduction, leading expert Eric Siegel reveals how predictive analytics (aka machine learning) works, and how it affects everyone every day. Rather than a “how to” for hands-on techies, the book serves lay readers and experts alike by covering new case studies and the latest state-of-the-art techniques. Prediction is booming. It reinvents industries and runs the world. Companies, governments, law enforcement, hospitals, and universities are seizing upon the power. These institutions predict whether you're going to click, buy, lie, or die. Why? For good reason: predicting human behavior combats risk, boosts sales, fortifies healthcare, streamlines manufacturing, conquers spam, optimizes social networks, toughens crime fighting, and wins elections. How? Prediction is powered by the world's most potent, flourishing unnatural resource: data. Accumulated in large part as the by-product of routine tasks, data is the unsalted, flavorless residue deposited en masse as organizations churn away. Surprise! This heap of refuse is a gold mine. Big data embodies an extraordinary wealth of experience from which to learn. Predictive analytics (aka machine learning) unleashes the power of data. With this technology, the computer literally learns from data how to predict the future behavior of individuals. Perfect prediction is not possible, but putting odds on the future drives millions of decisions more effectively, determining whom to call, mail, investigate, incarcerate, set up on a date, or medicate. In this lucid, captivating introduction — now in its Revised and Updated edition — former Columbia University professor and Predictive Analytics World founder Eric Siegel reveals the power and perils of prediction: What type of mortgage risk Chase Bank predicted before the recession. Predicting which people will drop out of school, cancel a subscription, or get divorced before they even know it themselves. Why early retirement predicts a shorter life expectancy and vegetarians miss fewer flights. Five reasons why organizations predict death — including one health insurance company. How U.S. Bank and Obama for America calculated the way to most strongly persuade each individual. Why the NSA wants all your data: machine learning supercomputers to fight terrorism. How IBM's Watson computer used predictive modeling to answer questions and beat the human champs on TV's Jeopardy! How companies ascertain untold, private truths — how Target figures out you're pregnant and Hewlett-Packard deduces you're about to quit your job. How judges and parole boards rely on crime-predicting computers to decide how long convicts remain in prison. 182 examples from Airbnb, the BBC, Citibank, ConEd, Facebook, Ford, Google, the IRS, LinkedIn, Match.com, MTV, Netflix, PayPal, Pfizer, Spotify, Uber, UPS, Wikipedia, and more. How does predictive analytics work? This jam-packed book satisfies by demystifying the intriguing science under the hood. For future hands-on practitioners pursuing a career in the field, it sets a strong foundation, delivers the prerequisite knowledge, and whets your appetite for more. A truly omnipresent science, predictive analytics constantly affects our daily lives. Whether you are a |
| cutting edge marketing analytics: Advanced Database Marketing Asst Prof Koen W De Bock, Professor Kristof Coussement, Professor Scott A Neslin, 2013-07-28 While the definition of database marketing hasn’t changed, its meaning has become more vivid, versatile and exciting than ever before. Advanced Database Marketing provides a state-of-the-art guide to the methods and applications that define this new era in database marketing, including advances in areas such as text mining, recommendation systems, internet marketing, and dynamic customer management. An impressive list of contributors including many of the thought-leaders in database marketing from across the world bring together chapters that combine the best academic research and business applications. The result is a definitive guide and reference for marketing and brand analysts, masters students, teachers and researchers in marketing analytics. The proliferation of marketing platforms and channels and the complexity of customer interactions create an urgent need for a multidisciplinary and analytical toolkit. Advanced Database Marketing is a resource to enable marketers to achieve insights and increased financial performance; to provide them with the capability to implement and evaluate approaches to marketing that will meet, in equal measure, the changing needs of customers and the businesses that serve them. |
| cutting edge marketing analytics: Hands-On Data Science for Marketing Yoon Hyup Hwang, 2019-03-29 Optimize your marketing strategies through analytics and machine learning Key FeaturesUnderstand how data science drives successful marketing campaignsUse machine learning for better customer engagement, retention, and product recommendationsExtract insights from your data to optimize marketing strategies and increase profitabilityBook Description Regardless of company size, the adoption of data science and machine learning for marketing has been rising in the industry. With this book, you will learn to implement data science techniques to understand the drivers behind the successes and failures of marketing campaigns. This book is a comprehensive guide to help you understand and predict customer behaviors and create more effectively targeted and personalized marketing strategies. This is a practical guide to performing simple-to-advanced tasks, to extract hidden insights from the data and use them to make smart business decisions. You will understand what drives sales and increases customer engagements for your products. You will learn to implement machine learning to forecast which customers are more likely to engage with the products and have high lifetime value. This book will also show you how to use machine learning techniques to understand different customer segments and recommend the right products for each customer. Apart from learning to gain insights into consumer behavior using exploratory analysis, you will also learn the concept of A/B testing and implement it using Python and R. By the end of this book, you will be experienced enough with various data science and machine learning techniques to run and manage successful marketing campaigns for your business. What you will learnLearn how to compute and visualize marketing KPIs in Python and RMaster what drives successful marketing campaigns with data scienceUse machine learning to predict customer engagement and lifetime valueMake product recommendations that customers are most likely to buyLearn how to use A/B testing for better marketing decision makingImplement machine learning to understand different customer segmentsWho this book is for If you are a marketing professional, data scientist, engineer, or a student keen to learn how to apply data science to marketing, this book is what you need! It will be beneficial to have some basic knowledge of either Python or R to work through the examples. This book will also be beneficial for beginners as it covers basic-to-advanced data science concepts and applications in marketing with real-life examples. |
| cutting edge marketing analytics: The Definitive Guide to Marketing Analytics and Metrics (Collection) Cesar Brea, Rajkumar Venkatesan, Paul Farris, Ronald T. Wilcox, Neil Bendle, Phillip Pfeifer, David Reibstein, 2014-08-18 A brand new collection introducing today's most powerful strategies and techniques for measuring and optimizing marketing… 3 authoritative books, now in a convenient e-format, at a great price! 3 authoritative Books help you measure, analyze, and optimize every marketing investment you'll ever make Measuring and optimize your marketing investments is more crucial than ever. But, with an explosion in channels and complexity, it's also more challenging than ever. Fortunately, marketing metrics and analytics have taken giant leaps forward in recent years: techniques now exist for accurately quantifying performance and applying what you learn to improve it. In this unique 3 Book package, world-class experts present these new approaches, and show how to profit from them. In Marketing and Sales Analytics, leading consultant Cesar A. Breaexamines the experiences of 15 leaders who've built high-value analytics capabilities in multiple industries. Then, building on what they've learned, he presents a complete blueprint for succeeding with marketing analytics. You'll learn how to evaluate ecosystemic conditions for success, frame the right questions, and organize your people, data, and operating infrastructure to answer them. Brea helps you overcome key challenges ranging from governance to overcoming hidden biases. Along the way, he also offers specific guidance on crucial decisions such as buy vs. build?, centralize or decentralize?, and hire generalists or specialists? Next, in Cutting Edge Marketing Analytics, three pioneering experts introduce today's most valuable marketing analytics methods and tools, and offer a best-practice methodology for successful implementation. They augment this knowledge with hands on case studies, guiding you through solving key problems in resource allocation, segmentation, pricing, campaign management, firm valuation, and digital marketing strategy. All case studies are accompanied by real data used by the protagonists to make decisions. As you practice, you'll gain a deeper understanding of the value of marketing analytics, learn to integrate quantitative analysis with managerial sensibilities, master core statistical tools, and discover how to avoid crucial pitfalls. Finally, in the award-winning Marketing Metrics, Second Edition, Paul W. Farris and his colleagues show how to choose the right metrics for every marketing challenge. You'll learn how to use dashboards to view market dynamics from multiple perspectives, maximize accuracy, and triangulate to optimal solutions. You'll discover high-value metrics for promotional strategy, advertising, distribution, customer perceptions, market share, competitors' power, margins, pricing, products and portfolios, customer profitability, sales forces, channels, and more. This extensively updated edition introduces innovative metrics ranging from Net Promoter to social media and brand equity measurement, and shows how to build comprehensive models to optimize every marketing decision you make. If you need to measure and improve marketing performance, this 3-book package will be your most valuable resource. From world-renowned business sustainability experts Cesar A. Brea, Rajkumar Venkatesan, Paul W. Farris, Ronald T. Wilcox, Neil T. Bendle, Phillip E. Pfeifer, and David J. Reibstein |
| cutting edge marketing analytics: Digital Analytics 101 April E. Wilson, 2016-12-13 If you have a passion for marketing and analytics are are looking for practical experiences to help you learn the science behind success, Digital Analytics 101 is the book for you. It's perfect for recent graduates and recognized marketers alike and provides you with information on topics such as: marketing methodology, brand monitoring, SEM and SEO, content marketing, social media marketing and measurement, how to use surveys and research, and much more. This book has a strong emphasis on marketing analytics, plus a range of exercises, handouts, screenshots, and case studies. Once upon a time, Digital Analytics 101 was an educational agency designed to teach marketers and small to medium business owners how to measure the performance of their digital marketing. We offered live classes (usually hosted through local businesses like churches), online classes, presentations in a variety of industries (construction, digital analytics, thought leadership, church leadership, and local college and university guest lectures). We blogged and published articles for print magazines and websites like Yahoo! Small Business, Web Analytics World, and American Express OPEN. It started as a side project; a way for our experts to share what they knew with the larger community, a community that at the time was very hungry for knowledge. The business closed in 2015, but it seemed like a shame not to write a book for anyone to use. FAIR WARNING: because the internet changes faster than a teenager picking out clothes for a first date, some of the screenshots of interfaces are probably outdated. The strategy behind the course is still intact, but the way you access that information may have changed. |
| cutting edge marketing analytics: Big Data Marketing Lisa Arthur, 2013-10-07 Leverage big data insights to improve customer experiences and insure business success Many of today's businesses find themselves caught in a snarl of internal data, paralyzed by internal silos, and executing antiquated marketing approaches. As a result, consumers are losing patience, shareholders are clamoring for growth and differentiation, and marketers are left struggling to untangle the massive mess. Big Data Marketing provides a strategic road map for executives who want to clear the chaos and start driving competitive advantage and top line growth. Using real-world examples, non-technical language, additional downloadable resources, and a healthy dose of humor, Big Data Marketing will help you discover the remedy offered by data-driven marketing. Explains how marketers can use data to learn what they need to know Details strategies to drive marketing relevance and Return On Marketing Investment (ROMI) Provides a five-step approach in the journey to a more data-driven marketing organization Author Lisa Arthur, the Chief Marketing Officer for Teradata Applications, the leader in integrated marketing software, meets with thousands of CMOs and marketing professionals annually through public speaking and events Big Data Marketing reveals patterns in your customers' behavior and proven ways to elevate customer experiences. Leverage these insights to insure your business's success. |
| cutting edge marketing analytics: Big Data Analytics for Improved Accuracy, Efficiency, and Decision Making in Digital Marketing Singh, Amandeep, 2021-06-18 The availability of big data, low-cost commodity hardware, and new information management and analytic software have produced a unique moment in the history of data analysis. The convergence of these trends means that we have the capabilities required to analyze astonishing data sets quickly and cost-effectively for the first time in history. They represent a genuine leap forward and a clear opportunity to realize enormous gains in terms of efficiency, productivity, revenue, and profitability especially in digital marketing. Data plays a huge role in understanding valuable insights about target demographics and customer preferences. From every interaction with technology, regardless of whether it is active or passive, we are creating new data that can describe us. If analyzed correctly, these data points can explain a lot about our behavior, personalities, and life events. Companies can leverage these insights for product improvements, business strategy, and marketing campaigns to cater to the target customers. Big Data Analytics for Improved Accuracy, Efficiency, and Decision Making in Digital Marketing aids understanding of big data in terms of digital marketing for meaningful analysis of information that can improve marketing efforts and strategies using the latest digital techniques. The chapters cover a wide array of essential marketing topics and techniques, including search engine marketing, consumer behavior, social media marketing, online advertising, and how they interact with big data. This book is essential for professionals and researchers working in the field of analytics, data, and digital marketing, along with marketers, advertisers, brand managers, social media specialists, managers, sales professionals, practitioners, researchers, academicians, and students looking for the latest information on how big data is being used in digital marketing strategies. |
| cutting edge marketing analytics: Customer Relationship Management V. Kumar, Werner Reinartz, 2018-05-15 This book presents an extensive discussion of the strategic and tactical aspects of customer relationship management as we know it today. It helps readers obtain a comprehensive grasp of CRM strategy, concepts and tools and provides all the necessary steps in managing profitable customer relationships. Throughout, the book stresses a clear understanding of economic customer value as the guiding concept for marketing decisions. Exhaustive case studies, mini cases and real-world illustrations under the title “CRM at Work” all ensure that the material is both highly accessible and applicable, and help to address key managerial issues, stimulate thinking, and encourage problem solving. The book is a comprehensive and up-to-date learning companion for advanced undergraduate students, master's degree students, and executives who want a detailed and conceptually sound insight into the field of CRM. The new edition provides an updated perspective on the latest research results and incorporates the impact of the digital transformation on the CRM domain. |
| cutting edge marketing analytics: Retail Analytics Emmett Cox, 2011-10-18 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. |
| cutting edge marketing analytics: Business Analytics for Managers Gert Laursen, Jesper Thorlund, 2010-07-13 While business analytics sounds like a complex subject, this book provides a clear and non-intimidating overview of the topic. Following its advice will ensure that your organization knows the analytics it needs to succeed, and uses them in the service of key strategies and business processes. You too can go beyond reporting!—Thomas H. Davenport, President's Distinguished Professor of IT and Management, Babson College; coauthor, Analytics at Work: Smarter Decisions, Better Results Deliver the right decision support to the right people at the right time Filled with examples and forward-thinking guidance from renowned BA leaders Gert Laursen and Jesper Thorlund, Business Analytics for Managers offers powerful techniques for making increasingly advanced use of information in order to survive any market conditions. Take a look inside and find: Proven guidance on developing an information strategy Tips for supporting your company's ability to innovate in the future by using analytics Practical insights for planning and implementing BA How to use information as a strategic asset Why BA is the next stepping-stone for companies in the information age today Discussion on BA's ever-increasing role Improve your business's decision making. Align your business processes with your business's objectives. Drive your company into a prosperous future. Taking BA from buzzword to enormous value-maker, Business Analytics for Managers helps you do it all with workable solutions that will add tremendous value to your business. |
| cutting edge marketing analytics: Results on Internet (Roi) Andrew Kucheriavy, 2014-10-27 The only book you need to produce, manage and market your company's website and achieve your business goals. |
| cutting edge marketing analytics: Quantum Marketing Raja Rajamannar, 2021-02-09 Raja Rajamannar, Chief Marketing Officer of Mastercard, shares breakthrough, frontier strategies to navigate the challenges that result from today’s unprecedented disruption. As technology has continually evolved in the last several decades, marketing has had to change with it, evolving through four significant stages that build on the strategies and tools of the previous era. What happens next in the fifth stage, or Fifth Paradigm, will not be an evolution, but a revolution. Almost everything about how marketing is done today, including the very notion of a brand itself, will require a complete re-imagination. As Chief Marketing Officer of Mastercard, one of the world’s most recognizable and decorated brands, Raja Rajamannar shares the forward-thinking ways all businesses must rethink their entire marketing landscape to remain relevant and be successful. In Quantum Marketing, readers will: Understand the evolution of marketing and how to be at the forefront of future change. Get clarity on the right marketing strategies and tactics to pursue amidst an ever-evolving industry. Achieve breakthroughs in innovative thinking to compete in modern business. Gain perspective from top marketers across industries. Quantum Marketing is for all business people who seek to understand how rapidly marketing is evolving, what marketers are doing to get ready for this shift, and what the new world will look like for companies, consumers, and society as the race to develop revolutionary marketing strategies reaches a whole new level. |
| cutting edge marketing analytics: Digital Marketing Strategy Simon Kingsnorth, 2016-05-03 The modern marketer needs to learn how to employ strategic thinking alongside the use of digital media to deliver measurable and accountable business success. Digital Marketing Strategy covers the essential elements of achieving exactly this by guiding you through every step of creating your perfect digital marketing strategy. This book analyzes the essential techniques and platforms of digital marketing including social media, content marketing, SEO, user experience, personalization, display advertising and CRM, as well as the broader aspects of implementation including planning, integration with overall company aims and presenting to decision makers. Simon Kingsnorth brings digital marketing strategy to life through best practice case studies, illustrations, checklists and summaries, to give you insightful and practical guidance. Rather than presenting a restrictive 'one size fits all' model, this book gives you the tools to tailor-make your own strategy according to your unique business needs and demonstrates how an integrated and holistic approach to marketing leads to greater success. Digital Marketing Strategy is also supported by a wealth of online resources, including budget and strategy templates, lecture slides and a bonus chapter. |
| cutting edge marketing analytics: The New Marketing Cheryl Burgess, Mark Burgess, 2020-07-27 In our hyper-connected world that is changing at warp speed, marketers recognize the need to shift from traditional marketing methods to a new way that can help them better navigate the unpredictable environment. For traditionalists, this change has posed a challenge. Many have tried to incorporate new approaches into the old models they grew up with, only to be frustrated with the results. From the bestselling authors of The Social Employee, and LinkedIn Learning course authors, comes a powerful new textbook that cracks the marketing code in our hyper-focused digital age. The New Marketing, with contributions spanning CMO trailblazers to martech disruptors, behavioral economics luminaries at Yale to leading marketing thinkers at Kellogg and Wharton, is a GPS for navigating in a digital world and moves the craft of marketing through the forces of marketing transformation. We can’t predict the future. But our goal is to help make Masters/MBA students and marketing practitioners future-ready and successful. |
| cutting edge marketing analytics: Advances in Business, Operations, and Product Analytics Matthew J. Drake, 2015-08-13 If you're seeking to master business analytics, case studies offer invaluable help: they expose you to the entire decision-making process, helping you practice an active role in both performing analysis and using its output to recommend optimal decisions. Now, drawing on his extensive teaching and consulting experience, Prof. Matthew Drake has created the ideal new casebook for all analytics students and practitioners. Drake, author of the widely-praised Applied Business Analytics Casebook, now presents a collection of up-to-date cases that are longer and more detailed than those typically presented in undergraduate texts, but concise and focused enough to be taught in a single classroom session. 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 analytics: forecasting, demand managing, data and text mining Prescriptive analytics: optimization-based modeling, simulation-based modeling, decision analysis, and multi-criteria decision making Industry-specific analytics: HR and managerial analytics, financial analytics, and healthcare/life sciences In addition to practitioners, this casebook will be especially valuable to students and faculty in undergraduate and masters' courses that cover topics in business analytics, and courses applying analytics to specific industries such as healthcare, or specific business functions such as marketing. |
| cutting edge marketing analytics: Real-world Data Mining Dursun Delen, 2015 As business becomes increasingly complex and global, decision-makers must act more rapidly and accurately, based on the best available evidence. Modern data mining and analytics is indispensable for doing this. Real-World Data Mining demystifies current best practices, showing how to use data mining and analytics to uncover hidden patterns and correlations, and leverage these to improve all business decision-making. Drawing on extensive experience as a researcher, practitioner, and instructor, Dr. Dursun Delen delivers an optimal balance of concepts, techniques and applications. Without compromising either simplicity or clarity, Delen provides enough technical depth to help readers truly understand how data mining technologies work. Coverage includes: data mining processes, methods, and techniques; the role and management of data; tools and metrics; text and web mining; sentiment analysis; and integration with cutting-edge Big Data approaches. Throughout, Delen's conceptual coverage is complemented with application case studies (examples of both successes and failures), as well as simple, hands-on tutorials. |
| cutting edge marketing analytics: Partnering with the Frenemy Sandy Jap, 2015-11-28 Selected as a finalist for the 2018 Leonard L. Berry Marketing Book Award! Why do crucial business partnerships and alliances fail so often and how can you keep it from happening to you? Partnering with the Frenemy answers these questions, helping you anticipate, prevent, and solve the problems that lead close business relationships to implode. Drawing on cutting-edge research, Sandy Jap illuminates the widespread “frenemy” phenomenon in organizational partnerships, where partners who start as non-competitive “friends” become “enemies” over time. She identifies key economical and structural causes of “frenemization,” in which success creates imbalances in power dynamics, leading partners to generate resentment, contempt, and often direct competition. She also illuminates crucial social causes for partnership failure, where seemingly innocuous acts of interpersonal opportunism and “sins of omission” gradually poison collaboration. To support her insights, she offers numerous case studies, both ongoing and historical, including Samsung/Google, Martha Stewart/Macy’s, Oracle/Sun Microsystems, Best Buy/Apple, Calvin Klein/Warnaco, and Nike/Footlocker. Most important, she offers specific recommendations for avoiding problems, revitalizing weakening partnerships, and recognizing when a partnership can’t be saved. IT’S NOT JUST ABOUT CONTRACTS AND MONEY Understand how to better manage emotions, suspicions, and expectations from Day 1 WHAT YOU CAN LEARN FROM OTHERS’ FAILING PARTNERSHIPS Anticipate, prevent, and mitigate the core causes of business relationship failure RECOGNIZE PARTNERING “OPPORTUNISM” BEFORE IT DESTROYS COLLABORATION Fix partnering problems while you still can IT’S NOT A MARRIAGE: HOW TO BECOME COMFORTABLE SAYING GOODBYE Know when to end a partnership, and how to part as “friends” |
| cutting edge marketing analytics: Essentials of Business Analytics Bhimasankaram Pochiraju, Sridhar Seshadri, 2019-07-10 This comprehensive edited volume is the first of its kind, designed to serve as a textbook for long-duration business analytics programs. It can also be used as a guide to the field by practitioners. The book has contributions from experts in top universities and industry. The editors have taken extreme care to ensure continuity across the chapters. The material is organized into three parts: A) Tools, B) Models and C) Applications. In Part A, the tools used by business analysts are described in detail. In Part B, these tools are applied to construct models used to solve business problems. Part C contains detailed applications in various functional areas of business and several case studies. Supporting material can be found in the appendices that develop the pre-requisites for the main text. Every chapter has a business orientation. Typically, each chapter begins with the description of business problems that are transformed into data questions; and methodology is developed to solve these questions. Data analysis is conducted using widely used software, the output and results are clearly explained at each stage of development. These are finally transformed into a business solution. The companion website provides examples, data sets and sample code for each chapter. |
| cutting edge marketing analytics: Digital and Social Media Marketing Aleksej Heinze, Gordon Fletcher, Tahir Rashid, Ana Cruz, 2016-11-18 Digital and Social Media Marketing: A Results-Driven Approach is an exciting new industry-led, research-informed and results-driven guide to digital commerce. Its examples draw from SMEs and from Europe to offer a unique perspective for those learning about digital marketing and, having been developed in close collaboration with the Search Engine Marketing Trade Association (SEMTA), it is a reliable source of prevailing industry standards for practitioners at the cutting edge of their trade. Unlike other digital marketing texts, this accessible textbook gives special consideration to the ethical challenges raised by an increasingly digital world. Equally unique is the book’s Digital Business Maturity Model, which offers organisations a clear roadmap for understanding their relative levels of technology adoption. Embracing the true spirit of Digital and Social Media Marketing, the book will be the first of its kind in this field with digital learning materials, case studies and exercises available in a supporting Massive Open Online Course (MOOC). The MOOC will enhance learners’ experience and create an interactive international learning community. This book will provide a hands on, accessible and user friendly platform to turn skills and knowledge into strategic advantage. Ideal for postgraduate learners, instructors interested in providing a unique and up-to-date learning experience and for SMEs and practitioners aiming to be at the cutting edge of Digital and Social Media Marketing. |
| cutting edge marketing analytics: Customer Data Platforms Martin Kihn, Christopher B. O'Hara, 2020-11-06 Master the hottest technology around to drive marketing success Marketers are faced with a stark and challenging dilemma: customers demand deep personalization, but they are increasingly leery of offering the type of personal data required to make it happen. As a solution to this problem, Customer Data Platforms have come to the fore, offering companies a way to capture, unify, activate, and analyze customer data. CDPs are the hottest marketing technology around today, but are they worthy of the hype? Customer Data Platforms takes a deep dive into everything CDP so you can learn how to steer your firm toward the future of personalization. Over the years, many of us have built byzantine “stacks” of various marketing and advertising technology in an attempt to deliver the fabled “right person, right message, right time” experience. This can lead to siloed systems, disconnected processes, and legacy technical debt. CDPs offer a way to simplify the stack and deliver a balanced and engaging customer experience. Customer Data Platforms breaks down the fundamentals, including how to: Understand the problems of managing customer data Understand what CDPs are and what they do (and don't do) Organize and harmonize customer data for use in marketing Build a safe, compliant first-party data asset that your brand can use as fuel Create a data-driven culture that puts customers at the center of everything you do Understand how to use AI and machine learning to drive the future of personalization Orchestrate modern customer journeys that react to customers in real-time Power analytics with customer data to get closer to true attribution In this book, you’ll discover how to build 1:1 engagement that scales at the speed of today’s customers. |
| cutting edge marketing analytics: Designed for Digital Jeanne W. Ross, Cynthia M. Beath, Martin Mocker, 2019-09-24 Practical advice for redesigning “big, old” companies for digital success, with examples from Amazon, BNY Mellon, LEGO, Philips, USAA, and many other global organizations. Most established companies have deployed such digital technologies as the cloud, mobile apps, the internet of things, and artificial intelligence. But few established companies are designed for digital. This book offers an essential guide for retooling organizations for digital success. In the digital economy, rapid pace of change in technology capabilities and customer desires means that business strategy must be fluid. As a result, the authors explain, business design has become a critical management responsibility. Effective business design enables a company to quickly pivot in response to new competitive threats and opportunities. Most leaders today, however, rely on organizational structure to implement strategy, unaware that structure inhibits, rather than enables, agility. In companies that are designed for digital, people, processes, data, and technology are synchronized to identify and deliver innovative customer solutions—and redefine strategy. Digital design, not strategy, is what separates winners from losers in the digital economy. Designed for Digital offers practical advice on digital transformation, with examples that include Amazon, BNY Mellon, DBS Bank, LEGO, Philips, Schneider Electric, USAA, and many other global organizations. Drawing on five years of research and in-depth case studies, the book is an essential guide for companies that want to disrupt rather than be disrupted in the new digital landscape. Five Building Blocks of Digital Business Success: Shared Customer Insights Operational Backbone Digital Platform Accountability Framework External Developer Platform |
| cutting edge marketing analytics: Marketing Analytics Mike Grigsby, 2018-04-03 Who is most likely to buy and what is the best way to target them? How can businesses improve strategy without identifying the key influencing factors? The second edition of Marketing Analytics enables marketers and business analysts to leverage predictive techniques to measure and improve marketing performance. By exploring real-world marketing challenges, it provides clear, jargon-free explanations on how to apply different analytical models for each purpose. From targeted list creation and data segmentation, to testing campaign effectiveness, pricing structures and forecasting demand, this book offers a welcome handbook on how statistics, consumer analytics and modelling can be put to optimal use. The fully revised second edition of Marketing Analytics includes three new chapters on big data analytics, insights and panel regression, including how to collect, separate and analyze big data. All of the advanced tools and techniques for predictive analytics have been updated, translating models such as tobit analysis for customer lifetime value into everyday use. Whether an experienced practitioner or having no prior knowledge, methodologies are simplified to ensure the more complex aspects of data and analytics are fully accessible for any level of application. Complete with downloadable data sets and test bank resources, this book supplies a concrete foundation to optimize marketing analytics for day-to-day business advantage. |
| cutting edge marketing analytics: Competing on Analytics Thomas H. Davenport, Jeanne G. Harris, 2007-03-06 You have more information at hand about your business environment than ever before. But are you using it to “out-think” your rivals? If not, you may be missing out on a potent competitive tool. In Competing on Analytics: The New Science of Winning, Thomas H. Davenport and Jeanne G. Harris argue that the frontier for using data to make decisions has shifted dramatically. Certain high-performing enterprises are now building their competitive strategies around data-driven insights that in turn generate impressive business results. Their secret weapon? Analytics: sophisticated quantitative and statistical analysis and predictive modeling. Exemplars of analytics are using new tools to identify their most profitable customers and offer them the right price, to accelerate product innovation, to optimize supply chains, and to identify the true drivers of financial performance. A wealth of examples—from organizations as diverse as Amazon, Barclay’s, Capital One, Harrah’s, Procter & Gamble, Wachovia, and the Boston Red Sox—illuminate how to leverage the power of analytics. |
| cutting edge marketing analytics: The Art of Business Value Mark Schwartz, 2016-04-07 Do you really understand what business value is? Information technology can and should deliver business value. But the Agile literature has paid scant attention to what business value means—and how to know whether or not you are delivering it. This problem becomes ever more critical as you push value delivery toward autonomous teams and away from requirements “tossed over the wall” by business stakeholders. An empowered team needs to understand its goal! Playful and thought-provoking, The Art of Business Value explores what business value means, why it matters, and how it should affect your software development and delivery practices. More than any other IT delivery approach, DevOps (and Agile thinking in general) makes business value a central concern. This book examines the role of business value in software and makes a compelling case for why a clear understanding of business value will change the way you deliver software. This book will make you think deeply about not only what it means to deliver value but also the relationship of the IT organization to the rest of the enterprise. It will give you the language to discuss value with the business, methods to cut through bureaucracy, and strategies for incorporating Agile teams and culture into the enterprise. Most of all, this book will startle you into new ways of thinking about the cutting-edge of Agile practice and where it may lead. |
Self-injury/cutting - Symptoms and causes - Mayo Clinic
Nov 21, 2024 · Nonsuicidal self-injury, often simply called self-injury, is the act of harming your own body on purpose, such as by cutting or burning yourself. It's usually not meant as a suicide …
Cutting and self-harm: Why it happens and what to do
May 31, 2023 · What drives forms of self-harm like cutting that some teens engage in? Gaining an understanding of why some children harm themselves by cutting their skin, what signs to be …
Cutting: Self-Harm, on Arm, Yourself, Self-Injury, in ... - Healthline
Jan 18, 2019 · Find out the causes, risk factors, and signs of cutting, what you can do if you discover a loved one is harming themselves, and where to turn for support.
Cutting & Self-Harm: Warning Signs and Treatment - WebMD
May 22, 2024 · Cutting is the most common form of self-injury — more than 80% of people who self-harm choose this method — but it’s not the only one.
Self-Injury: 4 Reasons People Cut and What to Do
Oct 20, 2016 · The technical term for cutting is non-suicidal self-injury, and it’s defined as the deliberate, self-inflicted destruction of body tissue. But keep in mind two important facts: First, …
Understanding Cutting and How to Find Help - Verywell Health
Apr 7, 2023 · Cutting is a form of intentional self-harm used to cope with stress or trauma or to process feelings and should always be taken seriously. Self-harm often indicates a mental health …
Cutting & Self-Injury (for Teens) | Nemours KidsHealth
Most of us know about cutting — using a sharp object like a razorblade, knife, or scissors to make marks, cuts, or scratches on one's own body. But cutting is just one form of self-injury.
Self-injury (Cutting, Self-Harm or Self-Mutilation)
Self-injury, also known as self-harm, self-mutilation, or self-abuse—occurs when someone repeatedly harms themselves on purpose in a way that is impulsive and not intended to be lethal. …
Self-harm by cutting: Causes, effects, & treatment - rula.com
Feb 19, 2025 · Cutting is a type of self-harm that involves using sharp objects to make cuts or scratches on your skin. Similar to other types of self-harm, cutting is often used as a coping …
Cutting and Self-Harm - HelpGuide.org
Aug 21, 2024 · While cutting and self-harming occurs most frequently in adolescents and young adults, it can happen at any age. Because clothing can hide physical injuries, and inner turmoil …
Self-injury/cutting - Symptoms and causes - Mayo Clinic
Nov 21, 2024 · Nonsuicidal self-injury, often simply called self-injury, is the act of harming your own body on purpose, such as by cutting or burning yourself. It's usually not meant as a …
Cutting and self-harm: Why it happens and what to do
May 31, 2023 · What drives forms of self-harm like cutting that some teens engage in? Gaining an understanding of why some children harm themselves by cutting their skin, what signs to be …
Cutting: Self-Harm, on Arm, Yourself, Self-Injury, in ... - Healthline
Jan 18, 2019 · Find out the causes, risk factors, and signs of cutting, what you can do if you discover a loved one is harming themselves, and where to turn for support.
Cutting & Self-Harm: Warning Signs and Treatment - WebMD
May 22, 2024 · Cutting is the most common form of self-injury — more than 80% of people who self-harm choose this method — but it’s not the only one.
Self-Injury: 4 Reasons People Cut and What to Do
Oct 20, 2016 · The technical term for cutting is non-suicidal self-injury, and it’s defined as the deliberate, self-inflicted destruction of body tissue. But keep in mind two important facts: First, …
Understanding Cutting and How to Find Help - Verywell Health
Apr 7, 2023 · Cutting is a form of intentional self-harm used to cope with stress or trauma or to process feelings and should always be taken seriously. Self-harm often indicates a mental …
Cutting & Self-Injury (for Teens) | Nemours KidsHealth
Most of us know about cutting — using a sharp object like a razorblade, knife, or scissors to make marks, cuts, or scratches on one's own body. But cutting is just one form of self-injury.
Self-injury (Cutting, Self-Harm or Self-Mutilation)
Self-injury, also known as self-harm, self-mutilation, or self-abuse—occurs when someone repeatedly harms themselves on purpose in a way that is impulsive and not intended to be …
Self-harm by cutting: Causes, effects, & treatment - rula.com
Feb 19, 2025 · Cutting is a type of self-harm that involves using sharp objects to make cuts or scratches on your skin. Similar to other types of self-harm, cutting is often used as a coping …
Cutting and Self-Harm - HelpGuide.org
Aug 21, 2024 · While cutting and self-harming occurs most frequently in adolescents and young adults, it can happen at any age. Because clothing can hide physical injuries, and inner turmoil …
