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| computer science and marketing: Using Computer Science in Marketing Careers Carla Mooney, 2019-07-15 Today, successful business professionals require both business and technology skills. In the marketing industry, professionals with computer science skills can pursue many career opportunities, from planning a company's digital marketing strategy to managing their e-commerce platform to drive online sales. This insightful book examines careers that combine interests in computer science and marketing, highlighting different jobs, educational requirements, and job search tips. By reading profiles of real jobs in the marketing industry, readers can be inspired by the success stories of people who blend a passion for computer science with a career in marketing. |
| computer science and marketing: Data Science for Marketing Analytics Tommy Blanchard, Debasish Behera, Pranshu Bhatnagar, 2019-03-30 Explore new and more sophisticated tools that reduce your marketing analytics efforts and give you precise results Key FeaturesStudy new techniques for marketing analyticsExplore uses of machine learning to power your marketing analysesWork through each stage of data analytics with the help of multiple examples and exercisesBook Description Data Science for Marketing Analytics covers every stage of data analytics, from working with a raw dataset to segmenting a population and modeling different parts of the population based on the segments. The book starts by teaching you how to use Python libraries, such as pandas and Matplotlib, to read data from Python, manipulate it, and create plots, using both categorical and continuous variables. Then, you'll learn how to segment a population into groups and use different clustering techniques to evaluate customer segmentation. As you make your way through the chapters, you'll explore ways to evaluate and select the best segmentation approach, and go on to create a linear regression model on customer value data to predict lifetime value. In the concluding chapters, you'll gain an understanding of regression techniques and tools for evaluating regression models, and explore ways to predict customer choice using classification algorithms. Finally, you'll apply these techniques to create a churn model for modeling customer product choices. By the end of this book, you will be able to build your own marketing reporting and interactive dashboard solutions. What you will learnAnalyze and visualize data in Python using pandas and MatplotlibStudy clustering techniques, such as hierarchical and k-means clusteringCreate customer segments based on manipulated data Predict customer lifetime value using linear regressionUse classification algorithms to understand customer choiceOptimize classification algorithms to extract maximal informationWho this book is for Data Science for Marketing Analytics is designed for developers and marketing analysts looking to use new, more sophisticated tools in their marketing analytics efforts. It'll help if you have prior experience of coding in Python and knowledge of high school level mathematics. Some experience with databases, Excel, statistics, or Tableau is useful but not necessary. |
| computer science and marketing: Multiple Choice and Free Response Questions in Preparation for the AP Computer Science Examination (7th Edition) Leon Schram, 2009 |
| computer science and marketing: Information Market Guide (I'M Guide): Commission of the European Communities DIANE Publishing Company, 1995-07 An inventory of information products and services available on the European Information Services Market. Points out the differences/advantages of the online database compared to the printed version which is in front of you. |
| computer science and marketing: 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. |
| computer science and marketing: Assessing and Responding to the Growth of Computer Science Undergraduate Enrollments National Academies of Sciences, Engineering, and Medicine, Division on Engineering and Physical Sciences, Computer Science and Telecommunications Board, Policy and Global Affairs, Board on Higher Education and Workforce, Committee on the Growth of Computer Science Undergraduate Enrollments, 2018-04-28 The field of computer science (CS) is currently experiencing a surge in undergraduate degree production and course enrollments, which is straining program resources at many institutions and causing concern among faculty and administrators about how best to respond to the rapidly growing demand. There is also significant interest about what this growth will mean for the future of CS programs, the role of computer science in academic institutions, the field as a whole, and U.S. society more broadly. Assessing and Responding to the Growth of Computer Science Undergraduate Enrollments seeks to provide a better understanding of the current trends in computing enrollments in the context of past trends. It examines drivers of the current enrollment surge, relationships between the surge and current and potential gains in diversity in the field, and the potential impacts of responses to the increased demand for computing in higher education, and it considers the likely effects of those responses on students, faculty, and institutions. This report provides recommendations for what institutions of higher education, government agencies, and the private sector can do to respond to the surge and plan for a strong and sustainable future for the field of CS in general, the health of the institutions of higher education, and the prosperity of the nation. |
| computer science and marketing: Marketing Engineering Gary L. Lilien, Arvind Rangaswamy, 1998-01 Several forces are transforming the structure and content of the marketing profession. Marketers are seeing increasingly faster changes in the marketplace and are barraged with an ever increasing amount of information. While many view traditional marketing as art and some view it as science, the new marketing increasingly looks like engineering. This textbook, combined with a comprehensive collection of 26 leading-edge software models provides the student with the know-how and tools to collect the right information and perform analysis to make better marketing plans, better product designs, and better decisions. Our purpose in writing this book is to help educate and train a new generation of marketing managers. We aim to train marketing engineers to translate concepts into context-specific operational decisions and actions using analytical, quantitative, and computer modeling techniques. We link theory to practice and practice to theory. |
| computer science and marketing: Essentials of Marketing Research Kenneth E. Clow, Karen E. James, 2013-01-09 Essentials of Marketing Research takes an applied approach to the fundamentals of marketing research by providing examples from the business world of marketing research and showing students how to apply marketing research results. This text focuses on understanding and interpreting marketing research studies. Focusing on the 'how-to' and 'so what' of marketing research helps students understand the value of marketing research and how they can put marketing research into practice. There is a strong emphasis on how to use marketing research to make better management decisions. The unique feature set integrates data analysis, interpretation, application, and decision-making throughout the entire text. The text opens with a discussion of the role of marketing research, along with a breakdown of the marketing research process. The text then moves into a section discussing types of marketing research, including secondary resources, qualitative research, observation research, and survey research. Newer methods (e.g. using blogs or Twitter feeds as secondary resources and using online focus groups) are discussed as extensions of traditional methods such. The third section discusses sampling procedures, measurement methods, marketing scales, and questionnaires. Finally, a section on analyzing and reporting marketing research focuses on the fundamental data analysis skills that students will use in their marketing careers. Features of this text include: - Chapter Openers describe the results of a research study that apply to the topics being presented in that chapter. These are taken from a variety of industries, with a greater emphasis on social media and the Internet. - A Global Concerns section appears in each chapter, helping prepare students to conduct market research on an international scale.This text emphasizes the presentation of research results and uses graphs, tables, and figures extensively. - A Statistics Review section emphasizes the practical interpretation and application of statistical principles being reviewed in each chapter. - Dealing with Data sections in each chapter provide students with opportunities to practice interpreting data and applying results to marketing decisions. Multiple SPSS data sets and step-by-step instructions are available on the companion site to use with this feature. - Each Chapter Summary is tied to the chapter-opening Learning Objectives. - A Continuing Case Study follows a group of students through the research process. It shows potential trade-offs, difficulties and flaws that often occur during the implementation of research project. Accompanying case questions can be used for class discussion, in-class group work, or individual assignments. - End-of-Chapter Critical Thinking Exercises are applied in nature and emphasize key chapter concepts. These can be used as assignments to test students' understanding of marketing research results and how results can be applied to decision-making. - End-of-chapter Your Research Project provides more challenging opportunities for students to apply chapter knowledge on an in-depth basis, and thus olearn by doing. |
| computer science and marketing: CLEP® Principles of Marketing Book + Online James E. Finch, James R. Ogden, Denise T. Ogden, Anindya Chatterjee, 2013-02-14 Earn College Credit with REA’s Test Prep for CLEP Principles of Marketing Everything you need to pass the exam and get the college credit you deserve. REA leads the way in helping students pass their College Board CLEP exams and earn college credit while reducing their tuition costs. With 25+ years of experience in test prep for the College-Level Examination Program (CLEP), REA is your trusted source for the most up-to-date test-aligned content. Whether you’re an adult returning to finish your degree, a traditional-age college student, a military service member, or a high school or home-schooled student looking to get a head start on college and shorten your path to graduation, CLEP is perfect for you. REA’s expert authors know the CLEP tests inside out. And thanks to our partners at Proctortrack (proctortrack.com/clep), you can now take your exam at your convenience, from the comfort of home. Prep for success on the CLEP Principles of Marketing exam with REA’s personalized three-step plan: (1) focus your study, (2) review with the book, and (3) measure your test-readiness. Our Book + Online prep gives you all the tools you need to make the most of your study time: Diagnostic exam: Pinpoint what you already know and what you need to study. Targeted subject review: Learn what you’ll be tested on. Two full-length practice exams: Zero in on the topics that give you trouble now so you’ll be confident and prepared on test day. Glossary of key terms: Round out your prep with must-know vocabulary. REA is America’s recognized leader in CLEP preparation. Our test prep helps you earn valuable college credit, save on tuition, and accelerate your path to a college degree. |
| computer science and marketing: Python for Marketing Research and Analytics Jason S. Schwarz, Chris Chapman, Elea McDonnell Feit, 2020-11-03 This book provides an introduction to quantitative marketing with Python. The book presents a hands-on approach to using Python for real marketing questions, organized by key topic areas. Following the Python scientific computing movement toward reproducible research, the book presents all analyses in Colab notebooks, which integrate code, figures, tables, and annotation in a single file. The code notebooks for each chapter may be copied, adapted, and reused in one's own analyses. The book also introduces the usage of machine learning predictive models using the Python sklearn package in the context of marketing research. This book is designed for three groups of readers: experienced marketing researchers who wish to learn to program in Python, coming from tools and languages such as R, SAS, or SPSS; analysts or students who already program in Python and wish to learn about marketing applications; and undergraduate or graduate marketing students with little or no programming background. It presumes only an introductory level of familiarity with formal statistics and contains a minimum of mathematics. |
| computer science and marketing: Python Programming John M. Zelle, 2004 This book is suitable for use in a university-level first course in computing (CS1), as well as the increasingly popular course known as CS0. It is difficult for many students to master basic concepts in computer science and programming. A large portion of the confusion can be blamed on the complexity of the tools and materials that are traditionally used to teach CS1 and CS2. This textbook was written with a single overarching goal: to present the core concepts of computer science as simply as possible without being simplistic. |
| computer science and marketing: The New Rules of Work Alexandra Cavoulacos, Kathryn Minshew, 2017 In this definitive guide to the ever-changing modern workplace, Kathryn Minshew and Alexandra Cavoulacos, the co-founders of popular career website TheMuse.com, show how to play the game by the New Rules. The Muse is known for sharp, relevant, and get-to-the-point advice on how to figure out exactly what your values and your skills are and how they best play out in the marketplace. Now Kathryn and Alex have gathered all of that advice and more in The New Rules of Work. Through quick exercises and structured tips, the authors will guide you as you sort through your countless options; communicate who you are and why you are valuable; and stand out from the crowd. The New Rules of Work shows how to choose a perfect career path, land the best job, and wake up feeling excited to go to work every day-- whether you are starting out in your career, looking to move ahead, navigating a mid-career shift, or anywhere in between-- |
| computer science and marketing: British Qualifications Kogan Page, 2006 The field of professional, academic and vocational qualifications is ever-changing. The new edition of this highly successful and practical guide provides thorough information on all developments. Fully indexed, it includes details on all university awards and over 200 career fields, their professional and accrediting bodies, levels of membership and qualifications.It acts as an one-stop guide for careers advisors, students and parents, and will also enable human resource managers to verify the qualifications of potential employees. |
| computer science and marketing: Contemporary Issues in Digital Marketing Outi Niininen, 2021-11-29 This book presents a comprehensive overview of the key topics, best practices, future opportunities and challenges in the Digital Marketing discourse. With contributions from world-renowned experts, the book covers: Big Data, Artificial Intelligence and Analytics in Digital Marketing Emerging technologies and how they can enhance User Experience How ‘digital’ is changing servicescapes Issues surrounding ethics and privacy Current and future issues surrounding Social Media Key considerations for the future of Digital Marketing Case studies and examples from real-life organisations Unique in its rigorous, research-driven and accessible approach to the subject of Digital Marketing, this text is valuable supplementary reading for advanced undergraduate and postgraduate students studying Digital and Social Media Marketing, Customer Experience Management, Digital Analytics and Digital Transformation. |
| computer science and marketing: Computer Engineering for Babies Chase Roberts, 2021-10-20 An introduction to computer engineering for babies. Learn basic logic gates with hands on examples of buttons and an output LED. |
| computer science and marketing: Search Engine Optimization and Marketing Subhankar Das, 2021-01-24 Search Engine Optimization and Marketing: A Recipe for Success in Digital Marketing analyzes the web traffic for online promotion that includes search engine optimization and search engine marketing. After careful analysis of the nuances of the semantic web, of search engine optimization (SEO), and its practical set up, readers can put their best foot forward for SEO setup, link-building for SERP establishment, various methods with requisite algorithms, and programming codes with process inferences. The book offers comprehensive coverage of essential topics, including: • The concept of SEM and SEO • The mechanism of crawler program concepts of keywords • Keyword generation tools • Page ranking mechanism and indexing • Concepts of title, meta, alt tags • Concepts of PPC/PPM/CTR • SEO/SEM strategies • Anchor text and setting up • Query-based search While other books are focused on the traditional explanation of digital marketing, theoretical features of SEO and SEM for keyword set up with link-building, this book focuses on the practical applications of the above-mentioned concepts for effective SERP generation. Another unique aspect of this book is its abundance of handy workarounds to set up the techniques for SEO, a topic too often neglected by other works in the field. This book is an invaluable resource for social media analytics researchers and digital marketing students. |
| computer science and marketing: How the Internet Became Commercial Shane Greenstein, 2015-10-20 In less than a decade, the Internet went from being a series of loosely connected networks used by universities and the military to the powerful commercial engine it is today. This book describes how many of the key innovations that made this possible came from entrepreneurs and iconoclasts who were outside the mainstream—and how the commercialization of the Internet was by no means a foregone conclusion at its outset. Shane Greenstein traces the evolution of the Internet from government ownership to privatization to the commercial Internet we know today. This is a story of innovation from the edges. Greenstein shows how mainstream service providers that had traditionally been leaders in the old-market economy became threatened by innovations from industry outsiders who saw economic opportunities where others didn't—and how these mainstream firms had no choice but to innovate themselves. New models were tried: some succeeded, some failed. Commercial markets turned innovations into valuable products and services as the Internet evolved in those markets. New business processes had to be created from scratch as a network originally intended for research and military defense had to deal with network interconnectivity, the needs of commercial users, and a host of challenges with implementing innovative new services. How the Internet Became Commercial demonstrates how, without any central authority, a unique and vibrant interplay between government and private industry transformed the Internet. |
| computer science and marketing: Responsible AI and Ethical Issues for Businesses and Governments Bistra Vassileva, Moti Zwilling, 2020-09 This book is aimed at scholars and practitioners who want to widen their understanding of artificial intelligence out of the 'narrow' technical perspective to a more broad viewpoint that embraces the links between AI theory, practice, and policy-- |
| computer science and marketing: Encyclopedia of Computer Science and Technology Harry Henderson, 2009 Presents an illustrated A-Z encyclopedia containing approximately 600 entries on computer and technology related topics. |
| computer science and marketing: 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. |
| computer science and marketing: British Qualifications Kogan Page, 2004 In a single volume, the new edition of this guide gives comprehensive coverage of the developments within the fast-changing field of professional, academic and vocational qualifications. career fields, their professional and accrediting bodies, levels of membership and qualifications, and is a one-stop guide for careers advisors, students and parents. It should also enable human resource managers to verify the qualifications of potential employees. |
| computer science and marketing: Get the Job or Career You Want Digital Book Set Ford R. Myers, Scott Gerber, Gayle Laakmann McDowell, Jay Conrad Levinson, David E. Perry, John B. Molidor, Barbara Parus, 2014-03-07 |
| computer science and marketing: Eye Tracking Methodology Andrew Duchowski, 2007-09-14 Despite the availability of cheap, fast, accurate and usable eye trackers, there is little information available on how to develop, implement and use these systems. This 2nd edition of the successful guide contains significant additional material on the topic and aims to fill that gap in the market by providing an accessible and comprehensive introduction. Additional key features of the 2nd edition include: Technical description of new (state-of-the-art) eye tracking technology; a complete whole new section describing experimental methodology including experimental design, empirical guidelines, and five case studies; and survey material regarding recent research publications. |
| computer science and marketing: Emerging Trends in Smart Societies Worakamol Wisetsri, Philip Clingan, Rocky J. Dwyer, Dilrabo Bakhronova, 2024-06-24 Emerging Trends in Smart Societies: Interdisciplinary Perspectives” captures the essence of the groundbreaking initiative heralded by the inaugural International Conference on Humanities for Smart Societies 2023 (HMSS 23). This milestone event convenes a global cohort of scholars, policymakers, and thinkers, transcending geographical confines via a pioneering virtual platform. The book crystallizes the convergence of diverse disciplines – from humanities to management – fostering an exchange of innovative ideas vital for sustainable, digitally transformed societies. By orchestrating cross-disciplinary dialogues, this anthology unveils novel solutions and holistic approaches to contemporary challenges. |
| computer science and marketing: Library of Congress Subject Headings Library of Congress, 2003 |
| computer science and marketing: Computerworld , 1987-11-02 For more than 40 years, Computerworld has been the leading source of technology news and information for IT influencers worldwide. Computerworld's award-winning Web site (Computerworld.com), twice-monthly publication, focused conference series and custom research form the hub of the world's largest global IT media network. |
| computer science and marketing: Digital Economy. Emerging Technologies and Business Innovation Rim Jallouli, Mohamed Anis Bach Tobji, Hamid Mcheick, Gunnar Piho, 2021-12-09 This book constitutes the proceedings of the 6th International Conference on Digital Economy, ICDEc 2021. The conference was held during July 15-17, 2021. It was initially planned to take place in Tallin, Estonia, but changed to a virtual event due to the COVID-19 pandemic. The 18 papers presented in this volume were carefully reviewed and selected from 51 submissions. They were organized in topical sections as follows: Digital strategies; virtual communities; digital assets and blockchain technology; artificial intelligence and data science; online education; digital transformation; and augmented reality and IOT. |
| computer science and marketing: COMPUTER SCIENCE & APPLICATIONS YCT EXPERT TEAM, NTA/UGC-NET/JRF COMPUTER SCIENCE & APPLICATIONS SOLVED PAPERS WITH NOTES |
| computer science and marketing: Daily Graphic Ransford Tetteh, 2014-04-09 |
| computer science and marketing: Computer Science And Artificial Intelligence - Proceedings Of The International Conference On Computer Science And Artificial Intelligence (Csai2016) Wen-jer Chang, 2017-07-19 Held in Guilin of China from August 13-14, 2016, the 2016 International Conference on Computer Science and Artificial Intelligence (CSAI2016) provides an excellent international platform for all invited speakers, authors and participants to share their results and establish research collaborations for future research.The conference enjoys a wide spread participation. It would not only serve as an academic forum, but also a good opportunity to establish business cooperation.CSAI2016 proceedings collects the most up-to-date, comprehensive, and worldwide state-of-art knowledge on computer science and artificial intelligence. After strict peer-review, the proceedings put together 117 articles based on originality, significance and clarity for the purpose of the conference. |
| computer science and marketing: Computerworld , 1978-02-06 For more than 40 years, Computerworld has been the leading source of technology news and information for IT influencers worldwide. Computerworld's award-winning Web site (Computerworld.com), twice-monthly publication, focused conference series and custom research form the hub of the world's largest global IT media network. |
| computer science and marketing: Doing Qualitative Research Using Your Computer Chris Hahn, 2008-04-11 ′I find your straightforward writing style an absolute joy, such a breath of fresh air!′ - Angie Ash, PhD student ′...thank you very much for your accessible language, clear lay out and practical applied approach. I suspect that this book will never be far from my side over the next 4 years!!′ - Mayen Konarski, PhD student Using straight-forward language Doing Qualitative Research Using Your Computer walks readers through the process of managing and streamlining research projects using commonly available Microsoft software applications. Drawing on a wide range of examples to demonstrate how easy it is to use such software, this guide is full of useful hints and tips on how to manage research more efficiently and effectively, including: - Formatting transcripts for maximum coding efficiency in Microsoft Word - Using features of Word to organize the analysis of data and to facilitate efficient qualitative coding - Synchronizing codes, categories, and important concepts between Microsoft Word and Microsoft Access - Efficiently storing and analyzing the qualitative data in Microsoft Excel - Creating flexible analytic memos in Access that help lead the researcher to final conclusions Ideal for those students or researchers who don′t want to invest in expensive specialised software packages, this guide will be an invaluable companion for anyone embarking on their own research project. |
| computer science and marketing: The Speculator of Financial Markets Daniele D’Alvia, 2023-12-30 The book illustrates financial markets from the point of view of their subjectivity, namely by analysing one of the most prominent figures among market operators: the speculator. Whereas many textbooks or monographs are strictly devoted to the analysis of financial law or history, this book tells a remarkable story based on markets’ boom-bust, expectations, banks’ fragilities, market sentiment, desires, and dreams. In light of this, D’Alvia provides unique financial knowledge and delivers a book that constitutes an outstanding introduction to the topic of the speculator through its historical account and its evolution till modern days. Academics, lawyers, financial regulators, and retail and qualified investors should save a space for it on their shelves. |
| computer science and marketing: Defining Public Administration Jay M. Shafritz, Jr., 2018-03-05 This anthology, Defining Public Administration, is designed to assist beginning and intermediate level students of public policy, and to stir the imaginations of readers concerned with public policy and administration. The forty-five articles included in the text are all reprinted from the International Encyclopedia of Public Policy and Administration, and these accessible, interesting articles have been assembled to offer a sample of the riches to be found within the larger work. The articles provide definitions of the vocabulary of public policy and administration as it is used throughout the world-from the smallest towns, to the largest national bureaucracies. Defining Public Administration is organized into twelve parts. Each part focuses on a domain pertinent to the study of public administration, including overviews, policy making, intergovernmental relations, bureaucracy, organization behavior, public management, strategic management, performance management, human resource management, financial management, auditing and accountability, and ethics. |
| computer science and marketing: 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. |
| computer science and marketing: Optimized C++ Kurt Guntheroth, 2016-04-27 In today’s fast and competitive world, a program’s performance is just as important to customers as the features it provides. This practical guide teaches developers performance-tuning principles that enable optimization in C++. You’ll learn how to make code that already embodies best practices of C++ design run faster and consume fewer resources on any computer—whether it’s a watch, phone, workstation, supercomputer, or globe-spanning network of servers. Author Kurt Guntheroth provides several running examples that demonstrate how to apply these principles incrementally to improve existing code so it meets customer requirements for responsiveness and throughput. The advice in this book will prove itself the first time you hear a colleague exclaim, “Wow, that was fast. Who fixed something?” Locate performance hot spots using the profiler and software timers Learn to perform repeatable experiments to measure performance of code changes Optimize use of dynamically allocated variables Improve performance of hot loops and functions Speed up string handling functions Recognize efficient algorithms and optimization patterns Learn the strengths—and weaknesses—of C++ container classes View searching and sorting through an optimizer’s eye Make efficient use of C++ streaming I/O functions Use C++ thread-based concurrency features effectively |
| computer science and marketing: Computerworld , 1978-10-02 For more than 40 years, Computerworld has been the leading source of technology news and information for IT influencers worldwide. Computerworld's award-winning Web site (Computerworld.com), twice-monthly publication, focused conference series and custom research form the hub of the world's largest global IT media network. |
| computer science and marketing: Soft Skills John Sonmez, 2020-11 For most software developers, coding is the fun part. The hard bits are dealing with clients, peers, and managers and staying productive, achieving financial security, keeping yourself in shape, and finding true love. This book is here to help. Soft Skills: The Software Developer's Life Manual is a guide to a well-rounded, satisfying life as a technology professional. In it, developer and life coach John Sonmez offers advice to developers on important subjects like career and productivity, personal finance and investing, and even fitness and relationships. Arranged as a collection of 71 short chapters, this fun listen invites you to dip in wherever you like. A Taking Action section at the end of each chapter tells you how to get quick results. Soft Skills will help make you a better programmer, a more valuable employee, and a happier, healthier person. |
| computer science and marketing: Marketing Management Greg W. Marshall, Mark W. Johnston, 2022 No doubt about it, marketing is really changing. Marketing today is: Very strategic-customer-centricity is now a core organizational value. Practiced virtually, digitally, and socially to a greater degree than ever before imagined. Enabled and informed by analytics and new technologies. Accountable to top management through diligent attention to metrics and measurement. Oriented toward service as driver of product. Owned by everybody in the firm to one degree or another-- |
| computer science and marketing: Handbook of Research on Enterprise 2.0: Technological, Social, and Organizational Dimensions Cruz-Cunha, Maria Manuela, 2013-07-31 Workplace technology is evolving at an accelerated pace, driving innovation, productivity, and efficiency to exceedingly high levels. Businesses both small and large must keep up with these changes in order to compete effectively with fellow enterprises. The Handbook of Research on Enterprise 2.0: Technological, Social, and Organizational Dimensions collects the most recent developments in evaluating the technological, organizational, and social dimensions of modern business practices in order to better foster advances in information exchange and collaboration among networks of partners and customers. This crucial reference supports managers and business professionals, as well as members of academia, IT specialists, and network developers in enhancing business practices and obtaining competitive advantage. |
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-Commerce Digital Online ABSTRACT In the face of the challenges of intensifying competition in the rapidly growing world of e-commerce, this research focuses on investigating, identifying, …
2025-2026 APG - resources.finalsite.net
AP Computer Science A introduces students to computer science through programming. Fundamental topics in this course include the design of solutions to problems, the use of data …
International Journal of Soft Computing and Engineering
Aug 30, 2019 · Clustering is broadly used in a range of applications like education, field of computer science, marketing, insurance, surveillance detection, fraud detection and scientific …
TheImportanceofWebsiteUsabilityinDigital Marketing:AReview
mately boost the success of digital marketing initiatives. This paper shows the significance of website usability in digital marketing and explores the impact of website usability on user …
Artificial Intelligence (AI) Empowerment in E-Commerce: A …
These studies collectively suggest that integrating AI into e-commerce can enhance marketing strategies, utilize data for informed decision-making, improve customer relationship …
Introduction to the special issue: presenting marketing …
We propose that marketing academics should experi-ment with how, and through which media, marketing research is communicated. Although the content of ideas is certainly important, …
Information Systems Minor
Examples of programs that may benefit from this complementary minor include accounting, computer science, marketing, management, finance, and math. The program enhances and …
ARTIFICIAL INTELLIGENCE IN MARKETING - Cambridge …
ce in marketing is a recommendation. Artificial intelligence is used by e-commerce companies, blogs, and several online social and media websites to analyze our online activity and …
MIT Open Access Articles Marketing and Data Science: …
» The synergistic use of computer science and marketing science techniques offers the best avenue for knowledge development and improved applications. « impact assessment, …
Marketing Analytics: Methods, Practice, Implementation, and …
Given the four Ps of marketing (Product, Promotion, Place, and Price), there is an emphasis towards product and promotion, as these topics are core to academic marketing and …
Machine learning software for optimizing SME social media …
This knowledge informs marketing strategies and guides product development and customer service improvements, leading to a more customer-centric approach. Lastly, machine learning …
Microsoft Word - ACSS2017_36799.doc - iafor
In this study, among these applications, we mainly focus on geographic information systems, computer vision, augmented reality, eye tracking and data mining. These technologies and …
Research on Precision Marketing based on Big Data …
Theoretically, precision marketing is a marketing strategy that aims to understand customers well and their actual needs. Practically, based on big data analysis, machine learning techniques, …
MARKETING - University of Nebraska–Lincoln
Overview of the fundamental terms and concepts in contemporary marketing, introduction to real world marketing strategies and focuses on marketing's role in organizations and businesses.
Paper Title (use style: paper title) - ijisrt.com
By examining case studies, conducting empirical analyses, and synthesizing findings from various disciplines including computer science, marketing, and consumer psychology, we seek to …
Computer Science Minor Marketing Plan
Entrepreneurs can learn to code their own websites or apps, math majors can code formulas to solve problems more efficiently, and fashion or communication majors could utilize coding for …
Computer Science & Marketing
FRAMEWORK FOR EMBEDDING THE CONCEPT OF AUGMENTED REALITY INTO DIGITAL MARKETING AND MONITORING ITS BENEFITS” in official journal for Government of India. I …
FACULTY OF COMPUTER SCIENCE
digital marketing concepts. Students are expected to learn various concepts related to digital marketing such as online marketing, search engine optimization, social media marketin
M.Sc. (Computer Science) Semester-1 MSCS-1-04T: …
SECTION-B Unit V: Digital Marketing Strategy: Formulation and Execution, Mechanisms: Websites- Company and Retail Service Providers, Search. Digital Marketing
Syllabus for Essentials of Digital Marketing
After Successful completion of this course the student will be able to: CO1: infer digital marketing practices, inclination of digital consumers and their behaviors. CO2: discover various search …
0!1*-12 St - Semantic Scholar
-Commerce Digital Online ABSTRACT In the face of the challenges of intensifying competition in the rapidly growing world of e-commerce, this research focuses on investigating, identifying, …
2025-2026 APG - resources.finalsite.net
AP Computer Science A introduces students to computer science through programming. Fundamental topics in this course include the design of solutions to problems, the use of data …
International Journal of Soft Computing and Engineering
Aug 30, 2019 · Clustering is broadly used in a range of applications like education, field of computer science, marketing, insurance, surveillance detection, fraud detection and scientific …
TheImportanceofWebsiteUsabilityinDigital Marketing:AReview
mately boost the success of digital marketing initiatives. This paper shows the significance of website usability in digital marketing and explores the impact of website usability on user …
Artificial Intelligence (AI) Empowerment in E-Commerce: A …
These studies collectively suggest that integrating AI into e-commerce can enhance marketing strategies, utilize data for informed decision-making, improve customer relationship …
Introduction to the special issue: presenting marketing diferently
We propose that marketing academics should experi-ment with how, and through which media, marketing research is communicated. Although the content of ideas is certainly important, …
Information Systems Minor
Examples of programs that may benefit from this complementary minor include accounting, computer science, marketing, management, finance, and math. The program enhances and …
