Predictive Consumer Data Analytics A Complete Guide - 2020 Edition
| Author | : Gerardus Blokdyk |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2019 |
| Genre | : Electronic books |
| ISBN | : 9780655979456 |
Predictive Consumer Data Analytics A Complete Guide - 2020 Edition.
Predictive Consumer Data Analytics A Complete Guide 2020 Edition
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Predictive Consumer Data Analytics A Complete Guide - 2020 Edition
| Author | : Gerardus Blokdyk |
| Publisher | : 5starcooks |
| Total Pages | : 308 |
| Release | : 2019-09-29 |
| Genre | : |
| ISBN | : 9780655929451 |
How can you summarize streaming data? How robust are the results? What are your organizations plans when it comes to predictive marketing analytics? How would you rate the impact/potential impact of using predictive marketing analytics across the customer life cycle for ? Does dwell time translate into influence? Defining, designing, creating, and implementing a process to solve a challenge or meet an objective is the most valuable role... In EVERY group, company, organization and department. Unless you are talking a one-time, single-use project, there should be a process. Whether that process is managed and implemented by humans, AI, or a combination of the two, it needs to be designed by someone with a complex enough perspective to ask the right questions. Someone capable of asking the right questions and step back and say, 'What are we really trying to accomplish here? And is there a different way to look at it?' This Self-Assessment empowers people to do just that - whether their title is entrepreneur, manager, consultant, (Vice-)President, CxO etc... - they are the people who rule the future. They are the person who asks the right questions to make Predictive Consumer Data Analytics investments work better. This Predictive Consumer Data Analytics All-Inclusive Self-Assessment enables You to be that person. All the tools you need to an in-depth Predictive Consumer Data Analytics Self-Assessment. Featuring 960 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Predictive Consumer Data Analytics improvements can be made. In using the questions you will be better able to: - diagnose Predictive Consumer Data Analytics projects, initiatives, organizations, businesses and processes using accepted diagnostic standards and practices - implement evidence-based best practice strategies aligned with overall goals - integrate recent advances in Predictive Consumer Data Analytics and process design strategies into practice according to best practice guidelines Using a Self-Assessment tool known as the Predictive Consumer Data Analytics Scorecard, you will develop a clear picture of which Predictive Consumer Data Analytics areas need attention. Your purchase includes access details to the Predictive Consumer Data Analytics self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next. You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in... - The Self-Assessment Excel Dashboard - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation - In-depth and specific Predictive Consumer Data Analytics Checklists - Project management checklists and templates to assist with implementation INCLUDES LIFETIME SELF ASSESSMENT UPDATES Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.
Predictive Consumer Data Analytics a Complete Guide - 2019 Edition
| Author | : Gerardus Blokdyk |
| Publisher | : 5starcooks |
| Total Pages | : 314 |
| Release | : 2019-03-18 |
| Genre | : |
| ISBN | : 9780655539599 |
Modeling indirect effects of paid search advertising: which keywords lead to more future visits? Does the in situ hardware have the computational capacity to support such algorithms? Quality vs. Quantity: What data are required to satisfy the given value proposition? Quantity: What data are required to satisfy the given value proposition? How much has the customer spent on product purchases (monetary value)? This breakthrough Predictive Consumer Data Analytics self-assessment will make you the assured Predictive Consumer Data Analytics domain specialist by revealing just what you need to know to be fluent and ready for any Predictive Consumer Data Analytics challenge. How do I reduce the effort in the Predictive Consumer Data Analytics work to be done to get problems solved? How can I ensure that plans of action include every Predictive Consumer Data Analytics task and that every Predictive Consumer Data Analytics outcome is in place? How will I save time investigating strategic and tactical options and ensuring Predictive Consumer Data Analytics costs are low? How can I deliver tailored Predictive Consumer Data Analytics advice instantly with structured going-forward plans? There's no better guide through these mind-expanding questions than acclaimed best-selling author Gerard Blokdyk. Blokdyk ensures all Predictive Consumer Data Analytics essentials are covered, from every angle: the Predictive Consumer Data Analytics self-assessment shows succinctly and clearly that what needs to be clarified to organize the required activities and processes so that Predictive Consumer Data Analytics outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Predictive Consumer Data Analytics practitioners. Their mastery, combined with the easy elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in Predictive Consumer Data Analytics are maximized with professional results. Your purchase includes access details to the Predictive Consumer Data Analytics self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows you exactly what to do next. Your exclusive instant access details can be found in your book. You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in... - The Self-Assessment Excel Dashboard - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation - In-depth and specific Predictive Consumer Data Analytics Checklists - Project management checklists and templates to assist with implementation INCLUDES LIFETIME SELF ASSESSMENT UPDATES Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.
Fundamentals of Machine Learning for Predictive Data Analytics, second edition
| Author | : John D. Kelleher |
| Publisher | : MIT Press |
| Total Pages | : 853 |
| Release | : 2020-10-20 |
| Genre | : Computers |
| ISBN | : 0262361108 |
The second edition of a comprehensive introduction to machine learning approaches used in predictive data analytics, covering both theory and practice. Machine learning is often used to build predictive models by extracting patterns from large datasets. These models are used in predictive data analytics applications including price prediction, risk assessment, predicting customer behavior, and document classification. This introductory textbook offers a detailed and focused treatment of the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications. Technical and mathematical material is augmented with explanatory worked examples, and case studies illustrate the application of these models in the broader business context. This second edition covers recent developments in machine learning, especially in a new chapter on deep learning, and two new chapters that go beyond predictive analytics to cover unsupervised learning and reinforcement learning.
Predictive Analytics
| Author | : Eric Siegel |
| Publisher | : John Wiley & Sons |
| Total Pages | : 368 |
| Release | : 2016-01-12 |
| Genre | : Business & Economics |
| ISBN | : 1119153654 |
"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
Applied Predictive Analytics
| Author | : Dean Abbott |
| Publisher | : John Wiley & Sons |
| Total Pages | : 471 |
| Release | : 2014-04-14 |
| Genre | : Computers |
| ISBN | : 1118727967 |
Learn the art and science of predictive analytics — techniques that get results Predictive analytics is what translates big data into meaningful, usable business information. Written by a leading expert in the field, this guide examines the science of the underlying algorithms as well as the principles and best practices that govern the art of predictive analytics. It clearly explains the theory behind predictive analytics, teaches the methods, principles, and techniques for conducting predictive analytics projects, and offers tips and tricks that are essential for successful predictive modeling. Hands-on examples and case studies are included. The ability to successfully apply predictive analytics enables businesses to effectively interpret big data; essential for competition today This guide teaches not only the principles of predictive analytics, but also how to apply them to achieve real, pragmatic solutions Explains methods, principles, and techniques for conducting predictive analytics projects from start to finish Illustrates each technique with hands-on examples and includes as series of in-depth case studies that apply predictive analytics to common business scenarios A companion website provides all the data sets used to generate the examples as well as a free trial version of software Applied Predictive Analytics arms data and business analysts and business managers with the tools they need to interpret and capitalize on big data.
Predictive Consumer Data Analytics the Ultimate Step-By-Step Guide
| Author | : Gerardus Blokdyk |
| Publisher | : 5starcooks |
| Total Pages | : 294 |
| Release | : 2018-11-25 |
| Genre | : |
| ISBN | : 9780655503316 |
What other jobs or tasks affect the performance of the steps in the Predictive Consumer Data Analytics process? Are there Predictive Consumer Data Analytics problems defined? Is a Predictive Consumer Data Analytics Team Work effort in place? What tools and technologies are needed for a custom Predictive Consumer Data Analytics project? Is there a recommended audit plan for routine surveillance inspections of Predictive Consumer Data Analytics's gains? This one-of-a-kind Predictive Consumer Data Analytics self-assessment will make you the assured Predictive Consumer Data Analytics domain master by revealing just what you need to know to be fluent and ready for any Predictive Consumer Data Analytics challenge. How do I reduce the effort in the Predictive Consumer Data Analytics work to be done to get problems solved? How can I ensure that plans of action include every Predictive Consumer Data Analytics task and that every Predictive Consumer Data Analytics outcome is in place? How will I save time investigating strategic and tactical options and ensuring Predictive Consumer Data Analytics costs are low? How can I deliver tailored Predictive Consumer Data Analytics advice instantly with structured going-forward plans? There's no better guide through these mind-expanding questions than acclaimed best-selling author Gerard Blokdyk. Blokdyk ensures all Predictive Consumer Data Analytics essentials are covered, from every angle: the Predictive Consumer Data Analytics self-assessment shows succinctly and clearly that what needs to be clarified to organize the required activities and processes so that Predictive Consumer Data Analytics outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Predictive Consumer Data Analytics practitioners. Their mastery, combined with the easy elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in Predictive Consumer Data Analytics are maximized with professional results. Your purchase includes access details to the Predictive Consumer Data Analytics self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows you exactly what to do next. Your exclusive instant access details can be found in your book. You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in... - The Self-Assessment Excel Dashboard, and... - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation ...plus an extra, special, resource that helps you with project managing. INCLUDES LIFETIME SELF ASSESSMENT UPDATES Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.
Predictive Analytics
| Author | : Conrad Carlberg |
| Publisher | : Que Publishing |
| Total Pages | : 585 |
| Release | : 2017-07-13 |
| Genre | : Business & Economics |
| ISBN | : 013468382X |
EXCEL 2016 PREDICTIVE ANALYTICS FOR SERIOUS DATA CRUNCHERS! Now, you can apply cutting-edge predictive analytics techniques to help your business win–and you don’t need multimillion-dollar software to do it. All the tools you need are available in Microsoft Excel 2016, and all the knowledge and skills are right here, in this book! Microsoft Excel MVP Conrad Carlberg shows you how to use Excel predictive analytics to solve real problems in areas ranging from sales and marketing to operations. Carlberg offers unprecedented insight into building powerful, credible, and reliable forecasts, helping you gain deep insights from Excel that would be difficult to uncover with costly tools such as SAS or SPSS. Fully updated for Excel 2016, this guide contains valuable new coverage of accounting for seasonality and managing complex consumer choice scenarios. Throughout, Carlberg provides downloadable Excel 2016 workbooks you can easily adapt to your own needs, plus VBA code–much of it open-source–to streamline especially complex techniques. Step by step, you’ll build on Excel skills you already have, learning advanced techniques that can help you increase revenue, reduce costs, and improve productivity. By mastering predictive analytics, you’ll gain a powerful competitive advantage for your company and yourself. Learn the “how” and “why” of using data to make better decisions, and choose the right technique for each problem Capture live real-time data from diverse sources, including third-party websites Use logistic regression to predict behaviors such as “will buy” versus “won’t buy” Distinguish random data bounces from real, fundamental changes Forecast time series with smoothing and regression Account for trends and seasonality via Holt-Winters smoothing Prevent trends from running out of control over long time horizons Construct more accurate predictions by using Solver Manage large numbers of variables and unwieldy datasets with principal components analysis and Varimax factor rotation Apply ARIMA (Box-Jenkins) techniques to build better forecasts and clarify their meaning Handle complex consumer choice problems with advanced logistic regression Benchmark Excel results against R results
Consumer Data A Complete Guide - 2020 Edition
| Author | : Gerardus Blokdyk |
| Publisher | : 5starcooks |
| Total Pages | : 294 |
| Release | : 2020-01-28 |
| Genre | : |
| ISBN | : 9781867318972 |
Is knowledge generated more quickly? How will you handle missing data? What are some examples of how you have used analytics in sales or marketing? How do you use log files effectively? What is the size of your data now? This best-selling Consumer Data self-assessment will make you the reliable Consumer Data domain leader by revealing just what you need to know to be fluent and ready for any Consumer Data challenge. How do I reduce the effort in the Consumer Data work to be done to get problems solved? How can I ensure that plans of action include every Consumer Data task and that every Consumer Data outcome is in place? How will I save time investigating strategic and tactical options and ensuring Consumer Data costs are low? How can I deliver tailored Consumer Data advice instantly with structured going-forward plans? There's no better guide through these mind-expanding questions than acclaimed best-selling author Gerard Blokdyk. Blokdyk ensures all Consumer Data essentials are covered, from every angle: the Consumer Data self-assessment shows succinctly and clearly that what needs to be clarified to organize the required activities and processes so that Consumer Data outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Consumer Data practitioners. Their mastery, combined with the easy elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in Consumer Data are maximized with professional results. Your purchase includes access details to the Consumer Data self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows you exactly what to do next. Your exclusive instant access details can be found in your book. You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in... - The Self-Assessment Excel Dashboard - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation - In-depth and specific Consumer Data Checklists - Project management checklists and templates to assist with implementation INCLUDES LIFETIME SELF ASSESSMENT UPDATES Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.
Predictive Analytics, Data Mining and Big Data
| Author | : S. Finlay |
| Publisher | : Springer |
| Total Pages | : 241 |
| Release | : 2014-07-01 |
| Genre | : Business & Economics |
| ISBN | : 1137379286 |
This in-depth guide provides managers with a solid understanding of data and data trends, the opportunities that it can offer to businesses, and the dangers of these technologies. Written in an accessible style, Steven Finlay provides a contextual roadmap for developing solutions that deliver benefits to organizations.
