Marketing Analytics

Author: Wayne L. Winston
Publisher: John Wiley & Sons
ISBN: 111837343X
Size: 17.88 MB
Format: PDF, Mobi
View: 6513
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.

Marketing Analytics Creating Customer Centric Culture

Author: Joseph B. Rivera
Publisher: Joseph B. Rivera
Size: 73.47 MB
Format: PDF, Mobi
View: 6381
A game-changing approach to marketing by an experienced author, speaker and businessman Joseph B. Rivera. Joseph B. Rivera has first-hand experience in business. He has learned everything through hard work and perseverance, and has inspired quite a lot of entrepreneurs, businessmen, executives, employees, and business students to challenge themselves in this modern era of commerce. For the first time, Joseph B. Rivera offers his years of experience and wisdom in this one compact, very accessible and enduring masterpiece. MARKETING ANALYTICS: CREATING CUSTOMER-CENTRIC CULTURE helps you to create a transformative culture toward excellence in your business. Whether you are an executive, businessman, business owner, investor, marketer, trainer, speaker or a student of marketing, you will be proud of what you will learn. When applied right, you will change the way products and services are designed, created and offered to the world. This book teaches you how to meaningfully connect emotionally and practically to your consumers. Remember, it is not just all about the money. Here, Joseph has put together his passion, insights, observation and experience to mentor you: ✔️How to understand the needs of the market. ✔️How to position your business. ✔️How to overcome competition. ✔️How to revolutionize your business. Learn the art or marketing analytics, and be a game changer.

Business Analytics With Management Science Models And Methods

Author: Arben Asllani
Publisher: FT Press
ISBN: 0133760669
Size: 34.62 MB
Format: PDF, ePub, Docs
View: 4086
Master decision modeling and analytics through realistic examples, intuitive explanations, and tested Excel templates. Business Analytics with Management Science has been designed to help students, practitioners and managers use business analytics to improve decision-making systems. Unlike previous books, it emphasizes the application of practical management science techniques in business analytics. Drawing on 20+ years of teaching and consulting experience, Dr. Arben Asllani introduces decision analytics through realistic examples and intuitive explanations – not complex formulae and theoretical definitions. Throughout, Asllani helps practitioners focus more on the crucial input-output aspects of decision making – and less upon internal model complexities that can usually be "delegated" to software.

A Z Of Digital Research Methods

Author: Catherine Dawson
Publisher: Routledge
ISBN: 1351044656
Size: 17.49 MB
Format: PDF, Docs
View: 3271
This accessible, alphabetical guide provides concise insights into a variety of digital research methods, incorporating introductory knowledge with practical application and further research implications. A-Z of Digital Research Methods provides a pathway through the often-confusing digital research landscape, while also addressing theoretical, ethical and legal issues that may accompany each methodology. Dawson outlines 60 chapters on a wide range of qualitative and quantitative digital research methods, including textual, numerical, geographical and audio-visual methods. This book includes reflection questions, useful resources and key texts to encourage readers to fully engage with the methods and build a competent understanding of the benefits, disadvantages and appropriate usages of each method. A-Z of Digital Research Methods is the perfect introduction for any student or researcher interested in digital research methods for social and computer sciences.

Marketing Data Science

Author: Thomas W. Miller
Publisher: FT Press
ISBN: 0133887340
Size: 61.19 MB
Format: PDF, Docs
View: 1540
Now , a leader of Northwestern University's prestigious analytics program presents a fully-integrated treatment of both the business and academic elements of marketing applications in predictive analytics. Writing for both managers and students, Thomas W. Miller explains essential concepts, principles, and theory in the context of real-world applications. Building on Miller's pioneering program, Marketing Data Science thoroughly addresses segmentation, target marketing, brand and product positioning, new product development, choice modeling, recommender systems, pricing research, retail site selection, demand estimation, sales forecasting, customer retention, and lifetime value analysis. Starting where Miller's widely-praised Modeling Techniques in Predictive Analytics left off, he integrates crucial information and insights that were previously segregated in texts on web analytics, network science, information technology, and programming. Coverage includes: The role of analytics in delivering effective messages on the web Understanding the web by understanding its hidden structures Being recognized on the web – and watching your own competitors Visualizing networks and understanding communities within them Measuring sentiment and making recommendations Leveraging key data science methods: databases/data preparation, classical/Bayesian statistics, regression/classification, machine learning, and text analytics Six complete case studies address exceptionally relevant issues such as: separating legitimate email from spam; identifying legally-relevant information for lawsuit discovery; gleaning insights from anonymous web surfing data, and more. This text's extensive set of web and network problems draw on rich public-domain data sources; many are accompanied by solutions in Python and/or R. Marketing Data Science will be an invaluable resource for all students, faculty, and professional marketers who want to use business analytics to improve marketing performance.

Principles Of Marketology Volume 2

Author: Hashem Aghazadeh
Publisher: Springer
ISBN: 1137548339
Size: 12.47 MB
Format: PDF, Docs
View: 1153
Principles of Marketology, Volume 2 focuses on the practical aspect and demonstrates the applications of marketology referring to market orientation, internal marketing, business, market and competitive analysis concepts and techniques. Then the modern marketology and its developments in the future are discussed. At the of this volume as the appendix, a handbook of marketology is presented in which a practical manual including simple and summarized descriptions of different needed parts and worksheets for executing marketology in an organization is depicted.

Data Science For Fundraising

Author: Ashutosh R Nandeshwar
Publisher: Data Insight Partners LLC
ISBN: 9780692057841
Size: 67.54 MB
Format: PDF
View: 4581
Although the non-profit industry has advanced using CRMs and donor databases, it has not fully explored the data stored in those databases. Data Science for Fundraising will help you generate data-driven results and effective solutions for several challenges in your non-profit. Discover the techniques used by the top R programmers.

Big Data Big Analytics

Author: Michael Minelli
Publisher: John Wiley & Sons
ISBN: 1118239156
Size: 39.57 MB
Format: PDF, Docs
View: 7608
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.

Mba Series Business Development Curriculum

Author: Heena Dhir
Size: 19.53 MB
Format: PDF
View: 1178
Follow along with business analytics expert Heena Dhir in this video series on business analytics. Learn how to turn information into meaningful insights in this video series on business analytics. We introduce the field of analytics and then cover descriptive, predictive, and prescriptive analytics. We explore business metrics and the various types of analytics tools and techniques available today in the field. Concepts are illustrated in Microsoft Excel, Tableau, and Google Analytics. The MBA Series contains three curriculums: Business Management, Business Development, and Business Communication. This course, Financial Accounting , is a core course within the Business Development curriculum. Follow this link to take all of the courses in the MBA Series here on O'Reilly. This Business Analytics course contains 18 topics: Introducing Analytics . This first topic in the business analytics course introduces you to the world of analytics. Become equipped to explain what analytics is, why analytics is so important, and where analytics is used. Know the difference between analysis and analytics. Be able to explain the various types of analytics, including descriptive analytics, diagnostic analytics, predictive analytics, and prescriptive analytics. Analytics Applications and Methods . This second topic in the business analytics course explains the various analytics tools. Become equipped to explain the features and functionality of Microsoft Excel, Tableau, and Google Analytics. Know the use cases for analytics. Be able to summarize the various statistical methods for decision making, including optimization techniques, advanced statistics, data mining, predictive modeling, time series forecasting, and machine learning. Apply marketing and customer relationship management analytics. Marketing and Customer Relationship Management Analytics Case Study . This third topic in the business analytics course provides a use case (Netflix) for marketing and customer relationship management analytics. Apply best practices in marketing analytics by ensuring high quality data, getting real time insights, providing proper training and support, and automating processes. Know the key components of financial analytics including predictive sales analytics, client profitability analytics, product profitability analytics, cash flow analytics, and value driven analytics. Optimization Techniques in Analytics . This fourth topic in the business analytics course covers ana...

Business Analytics

Author: Tanushri Banerjee
Publisher: SAGE Publications Pvt. Limited
ISBN: 9789353287108
Size: 50.44 MB
Format: PDF, ePub
View: 1454
This textbook is a comprehensive, step-by-step learning guide to each aspect of business analytics and its role and significance in real-life business decision-making. Correct capture, analysis and interpretation of data can have an immense impact on business productivity. Therefore, business analytics has turned out to be a strategic need for sustainability and growth in this competitive world. Descriptive, predictive and prescriptive models and data mining techniques are increasingly being used to interpret large quantities of data for getting useful business insights. Business Analytics: Text and Cases deals with the end-to-end journey from planning the approach to a data-enriched decision-problem, to communicating the results derived from analytics models to clients. Using cases from all aspects of a business venture (finance, marketing, human resource and operations), the book helps students to develop the skill to evaluate a business case scenario, understand the business problems, identify the data sources and data availability, logically think through problem-solving, use analytics techniques and application software to solve the problem and be able to interpret the results. Key Features: •Case studies of three degrees of difficulty level to enhance better understanding of the concepts •Application of software tools such as Microsoft Excel, R, SPSS, RapidMiner and Tableau to assist learning in building models and communicating results using analytics, data mining and data visualization •End of book Appendix consisting of step-by-step solved comprehensive case studies that discuss the concepts of all the chapters •Special emphasis on the need to develop skill for interpreting the outcome from the statistical results and presenting it in a form easily understood by the end user/client