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The ever-expanding realm of Big Data presents a formidable challenge for academic scholars and professionals. The sheer magnitude and diversity of data types, coupled with the continuous influx of information from various sources, make it exceedingly difficult to extract valuable insights. The need to effectively manipulate and analyze this vast amount of data is crucial for companies and organizations to uncover new market intelligence and make informed decisions. Without the proper guidance and understanding of the techniques and methodologies in Big Data analytics, scholars may struggle to navigate this complex landscape and maximize the potential benefits of their research. Big Data Analytics Techniques for Market Intelligence is a meticulously curated collection of original research which addresses the specific challenges faced by scholars and professionals in the field of Big Data analytics. By offering a comprehensive exploration of different techniques and methodologies, this book provides a solution to the hurdles encountered in extracting meaningful information from Big Data. It covers the entire lifecycle of Big Data analytics and also showcases the application of machine learning and deep learning techniques, compares various analysis methods, and presents real-world case studies, enabling readers to develop a holistic understanding of this complex domain. Big Data Analytics Techniques for Market Intelligence empowers academic scholars and professionals to overcome the obstacles inherent in working with Big Data. By gaining insights into the latest advancements in preprocessing, analysis, visualization, and utilization of analysis results, readers can enhance their research capabilities and contribute to their respective fields. Armed with the knowledge and tools provided in this book, scholars can unlock the immense potential of Big Data, generate valuable market intelligence, and drive strategic decision-making. The practical guidance offered in this book ensures that scholars and professionals can effectively harness the power of Big Data analytics and stay at the forefront of this rapidly evolving field.

'In an era marked by rapid technological advancements and the increasing integration of artificial intelligence (AI) into various sectors, the intersection of AI technologies with service marketing stands as a pivotal frontier. It is essential to explore the intricate nexus between AI technologies and service marketing strategies.Integrating AI-Driven Technologies Into Service Marketing elucidates the transformative impact of AI on key facets of service marketing, ranging from customer engagement and relationship management to market segmentation and product customization. It underscores the imperative for stakeholders in emerging economies to harness the power of AI technologies in crafting innovative and adaptive service marketing strategies. The book navigates the complexities of AI adoption while offering pragmatic recommendations for fostering responsible and inclusive AI-driven service marketing ecosystems. Covering topics such as customer engagement, influencer marketing, and sentiment analysis, this book is an excellent resource for scholars, researchers, educators, business professionals, managers, academicians, postgraduate students, and more.'--

Why is Google Analytics 4 the most modern data model available for digital marketing analytics? Because rather than simply report what has happened, GA4's new cloud integrations enable more data activation—linking online and offline data across all your streams to provide end-to-end marketing data. This practical book prepares you for the future of digital marketing by demonstrating how GA4 supports these additional cloud integrations.Author Mark Edmondson, Google Developer Expert for Google Analytics and Google Cloud, provides a concise yet comprehensive overview of GA4 and its cloud integrations. Data, business, and marketing analysts will learn major facets of GA4's powerful new analytics model, with topics including data architecture and strategy, and data ingestion, storage, and modeling. You'll explore common data activation use cases and get guidance on how to implement them.You'll learn:How Google Cloud integrates with GA4The potential use cases that GA4 integrations can enableSkills and resources needed to create GA4 integrationsHow much GA4 data capture is necessary to enable use casesThe process of designing dataflows from strategy though data storage, modeling, and activation

This book is written to address the issues relating to data gathering, data warehousing, and data analysis, all of which are useful when working with large amounts of data. Using practical examples of market intelligence, this book is designed to inspire and inform readers on how to conduct market intelligence by leveraging data and technology, supporting smart decision making. The book explains some suitable methodologies for data analysis that are based on robust statistical methods. For illustrative purposes, the author uses real-life data for all the examples in this book. In addition, the book discusses the concepts, techniques, and applications of digital media and mobile data mining. Hence, this book is a guide tool for policy makers, academics, and practitioners whose areas of interest are statistical inference, applied statistics, applied mathematics, business mathematics, quantitative techniques, and economic and social statistics.

Learn to confidently setup and create app, lenses, dashboards using Salesforce Einstein Analytics. Key Features[•] Explore Einstein analytics on desktop as well as mobile platforms[•]Turn data into smarter sales with Einstein Analytics for Sales[•]Visualize your data with preloaded as well as customized dashboardsBook DescriptionSalesforce Einstein analytics aka Wave Analytics is a cloud-based platform which connects data from the multiple sources and explores it to uncover insights. It empowers sales reps, marketers, and analysts with the insights to make customer interactions smarter, without building mathematical models. You will learn to create app, lenses, dashboards and share dashboards with other users. This book starts off with explaining you fundamental concepts like lenses, step, measures and sets you up with Einstein Analytics platform. We then move on to creating an app and here you will learn to create datasets, dashboards and different ways to import data into Analytics. Moving on we look at Einstein for sales, services, and marketing individually. Here you will learn to manage your pipeline, understand important business drivers and visualize trends. You will also learn features related to data monitoring tools and embedding dashboards with lightning, visualforce page and mobile devices. Further, you will learn advanced features pertaining to recent advancements in Einstein which include machine learning constructs and getting predictions for events. By the end of this book, you will become proficient in the Einstein analytics, getting insights faster and understanding your customer in a better way. What you will learn[•] Create app, lenses, and dashboards using Einstein.[•] Visualize data utilizing all the widgets available with Einstein.[•] Understand Einstein for Sales, Service, and Marketing separately.[•] Use Data monitoring tools to monitor data flow and system jobs.[•] Abstract machine learning constructs and make predictions on eventsWho this book is forThis book is for data scientists, business users, developers who want to explore business data using the Salesforce Einstein Analytics. Knowledge of the Salesforce platform is required.

Marketing researchers, companies and business schools need to be able to use statistical procedures correctly and accurately interpret the outputs, yet generally these people are scared off by the statistics behind the different analyses procedures, thus they often rely on external sources to come up with profound answers to the proposed research questions. In an accessible and step by step approach, the authors show readers which procedures to use in which particular situation and how to practically execute them using IBM® SPSS Statistics. IBM® is one of the largest statistical software providers world-wide and their IBM® SPSS Statistics software offers a very user-friendly environment. The program uses a simple drag-and-drop menu interface, which is also suitable for non-experienced programmers. It is widely employed in companies and many business schools also use this software package. This straightforward, pragmatic reference manual will help: professional marketers who use statistical procedures in in IBM® SPSS Statistics; undergraduate and postgraduate students where marketing research and research methodology are taught; all researchers analyzing survey-based data in a wide range of frontier domains like psychology, finance, accountancy, negotiation, communication, sociology, criminology, management, information systems, etc. IBM®'s next-generation business analytic solutions help organizations of all sizes make sense of information in the context of their business. You can uncover insights more quickly and easily from all types of data-even big data-and on multiple platforms and devices. And, with self-service and built-in expertise and intelligence, you have the freedom and confidence to make smarter decisions that better address your business imperatives.

The success of any organization is largely dependent on positive feedback and repeat business from patrons. By utilizing acquired marketing data, business professionals can more accurately assess practices, services, and products that their customers find appealing. The Handbook of Research on Intelligent Techniques and Modeling Applications in Marketing Analytics features innovative research and implementation practices of analytics in marketing research. Highlighting various techniques in acquiring and deciphering marketing data, this publication is a pivotal reference for professionals, managers, market researchers, and practitioners interested in the observation and utilization of data on marketing trends to promote positive business practices.

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.For access to lecture presentations, case study datasets, and information on the topics covered in the text, visit the book's website at: http://bizfaculty.nus.edu/site/bizakc/MarketingAnalytics Contents:Brand:Brand and Brand ImageBrand EquityCase I Shopper Trends — Food and Grocery Shopping in SingaporeConsumer:SegmentationQualitative ResearchQuantitative ResearchCustomer Satisfaction and Customer ValueConsumer PanelsConsumer Analytics and Big DataCase II VizagCase III HectomaltProduct:New Product DevelopmentProduct DesignProduct ValidationCase IV Hecto GrowAdvertising:How Advertising WorksNew MediaDigital MarketingAdvertising ResearchPrice and Promotion:PricePromotionMarket Mix ModellingCase V YakultRetailRetail TrackingRetail AnalyticsSales and DistributionCategory ManagementCase VI Little PeopleCase VII InulasAppendices:SamplingGain–loss Algorithms: Assumptions/LimitationsReferencesSubject IndexCompany and Product IndexPeople and Place Index Readership: Marketing professionals in consumer marketing firms, research agencies, consultancies and analytics firms; business management students, particularly those who are interested in pursuing careers in consumer marketing.Key Features:According to an ex-P&Ger, P&G'was like a marketing university. You were always learning.'And what you learnt was not taught at business schools. Not surprisingly P&Gers are highly valued. A LinkedIn search by AdvertisingAge in 2012 revealed that there were 100 CMOs of other companies who started their careers at P&G. The company has produced an even greater number of CEOs (713 based on AdvertisingAge's search) including marketers such as Bart Becht, Mitch Barns, Fabrizio Freda and Paul Polman.But, what if you are not one of the fortunate few to have benefited from the P&G University or the School of Unilever?You would expect that there would be a book or two that you could refer to. But oddly enough, while there are plenty of books on marketing, until now, there were none that were truly practitioner oriented. Ashok has been teaching for over 10 years, without pr

In this invaluable resource, discover how to conduct smarter marketing strategies using analytics and dashboards to get the most out of your data.Did you know that your business already has the world's greatest information-tracking team working tirelessly for you 24/7 to gather all the info you could possibly need to find your next customers? Between brand tracking, CRM programs, and online behavior tracking, as well as the always-dependable trade shows and satisfaction studies, mounds of marketing metrics are being generated for you across various touchpoints and channels.Locked in the vast quantity of information are accurate, data-driven answers to every marketing question--and analytic dashboards are the key to finding it all. In It's Not the Size of the Data--It's How You Use It, marketing expert Koen Pauwels introduces you to these transformative web-based tools that gather, synthesize, and visually display essential data in real time, directly connecting marketing with performance.He then supplies a simple yet rigorous methodology that explains step by step how to:Gain crucial IT supportBuild a rock-solid databaseSelect key leading performance indicatorsDesign the optimal dashboard layoutUse marketing analytics to improve decisions and reap rewardsThere is simply too much customer-produced information out there today for marketing teams to go with gut decisions or the same old standbys. Dashboard analytics will bring scientific precision and insight to the marketing efforts of any size organization, in any industry, and turn this eye-popping data into a specific plan of attack.

This invaluable resource examines the forces behind the explosive growth in data and reveals how the most innovative companies are responding to this challenge.The Internet used to be a tool for telling your customers about your business. Now, it's real value lies in what it tells you about them. Every move your customers make online can be tracked, catalogued, and analyzed to better understand their preferences and predict their future behavior. With mobile technology like smartphones, customers are online almost every second of every day. The companies that succeed going forward will be those that learn to leverage this torrent of information-without being drowned by it.Data Crush clarifies the key drivers in this emergence, such as: the proliferation of'big data'generated by a never-ending range of online activities (and the mobility that enables much of it);the seemingly infinite array of digital commerce and entertainment pathways;and the rising growth of Cloud computing.These and other factors combine to create an overwhelming universe of valuable information - all constantly updated in real time with billions of mouse clicks each day. It's daunting, but with this onslaught of information comes tremendous opportunity - and Data Crush will help you make sense of it all.

Get unprecedented access to thousands of databases. It's called Open Data, and it's revolutionizing business. The business leader's guide to using Open Data to analyze patterns and trends, manage risk, solve problems—and seize the competitive edge Two major trends—the exponential growth of digital data and an emerging culture of disclosure and transparency—have converged to create a world where voluminous information about businesses, government, and the population is becoming visible, accessible, and usable. It's called Open Data, and this book helps leaders harness its power to market and grow their companies. Open Data Now gives you the knowledge and tools to take advantage of this phenomenon in its early stages—and beat the competition to leveraging its many benefits. Joel Gurin is an expert on making complex data sets useful in solving consumer problems, analyzing corporate information, and addressing social issues. He has collaborated with leaders in data, technology, and policy in the U.S. and UK governments, including officials in the White House and 10 Downing Street and at more than 20 U.S. federal agencies.

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.

Selecting new product or service ideas that are worthwhile to be exploited has always been a major challenge to firms of all kinds. Recent developments, however, add a new facet to the evaluation challenge. Initiatives such as innovation contests, in which interested users may submit their ideas or solutions to firm relevant problems, frequently lead to several tens of thousands of submissions. Consequently, solutions are needed that help identifying the most promising ideas. The book “Open Evaluation” proposes a potential solution: integrating external stakeholders into the assessment of product and service ideas by means of IT, i.e. open evaluation. Based on both qualitative and quantitative research, the author examines design options, strategies, and the capacity of open evaluation to efficiently and effectively support decision-making for innovation. ​

Many marketing researchers, companies and business schools need to use statistical procedures and accurately interpret the result, that's why the SAS® Enterprise Guide software, which uses a user-friendly drag-and-drop menu to extract statistical information, is so popular. Marketing Research with SAS Enterprise Guide includes 236 screen shots to provide a detailed explanation of the SAS® Enterprise Guide software. Based on a step-by-step approach and real managerial situations, it guides the reader to an understanding of the use of statistical methods. It demonstrates ways of extracting information, collating it to provide reliable knowledge, and how to use these insights to solve day-to-day business and research problems. SAS ® offers a stand-alone marketing research tool by means of the SAS® OnDemand Enterprise Guide solution for academics and business professionals. This straightforward, pragmatic reference manual will help: -

Through compelling case studies, Word of Mouse maps out a broad range of strategies that companies can employ to raise revenue, customer loyalty, and satisfaction.At the vanguard of the Internet revolution are two computer scientists from Minnesota who are pioneers of Collaborative Filtering (CF). CF is a technology that enables companies to understand their customers and in turn sell products, goods, and services with remarkable success. To test CF, John Riedl and Joseph Konstan built two Internet sites, MovieLens and GroupLens, that allowed users to customize their preferences for movies and news.The results were astounding -- MovieLens demonstrated amazing accuracy, almost ensuring that the recommendation would prove enjoyable. In'Word of Mouse,'the authors analyze dozens of companies from Best Buy to Amazon to TiVo -- and show what these companies are doing right -- and what they are doing wrong.