Building a Digital Analytics Organization PDF Download

Author: Judah Phillips
Publisher: FT Press
ISBN: 0133372812
Category : Computers
Languages : en
Pages : 369

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Book Description
Drive maximum business value from digital analytics, web analytics, site analytics, and business intelligence! In Building a Digital Analytics Organization, pioneering expert Judah Phillips thoroughly explains digital analytics to business practitioners, and presents best practices for using it to reduce costs and increase profitable revenue throughout the business. Phillips covers everything from making the business case through defining and executing strategy, and shows how to successfully integrate analytical processes, technology, and people in all aspects of operations. This unbiased and product-independent guide is replete with examples, many based on the author’s own extensive experience. Coverage includes: key concepts; focusing initiatives and strategy on business value, not technology; building an effective analytics organization; choosing the right tools (and understanding their limitations); creating processes and managing data; analyzing paid, owned, and earned digital media; performing competitive and qualitative analyses; optimizing and testing sites; implementing integrated multichannel digital analytics; targeting consumers; automating marketing processes; and preparing for the revolutionary “analytical economy.” For all business practitioners interested in analytics and business intelligence in all areas of the organization.

Author: Judah Phillips
Publisher: FT Press
ISBN: 0133552101
Category : Business & Economics
Languages : en
Pages : 228

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Book Description
Learn the concepts and methods for creating economic and business value with digital analytics, mobile analytics, web analytics, and market research and social media data. In Digital Analytics Primer, pioneering expert Judah Phillips introduces the concepts, terms, and methods that comprise the science and art of digital analysis for web, site, social, video, and other types of quantitative and qualitative data. Business readers—from new practitioners to experienced executives—who want to understand how digital analytics can be used to reduce costs and increase profitable revenue throughout the business should read this book. Phillips delivers a comprehensive review of the core concepts, vocabulary, and frameworks, including analytical methods and tools that can help you successfully integrate analytical processes, technology, and people into all aspects of business operations. This unbiased and product-independent primer draws from the author's extensive experience doing and managing analytics in this field.

Author: John K. Thompson
Publisher: Packt Publishing Ltd
ISBN: 180020518X
Category : Computers
Languages : en
Pages : 395

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Book Description
Master the skills necessary to hire and manage a team of highly skilled individuals to design, build, and implement applications and systems based on advanced analytics and AI Key FeaturesLearn to create an operationally effective advanced analytics team in a corporate environmentSelect and undertake projects that have a high probability of success and deliver the improved top and bottom-line resultsUnderstand how to create relationships with executives, senior managers, peers, and subject matter experts that lead to team collaboration, increased funding, and long-term success for you and your teamBook Description In Building Analytics Teams, John K. Thompson, with his 30+ years of experience and expertise, illustrates the fundamental concepts of building and managing a high-performance analytics team, including what to do, who to hire, projects to undertake, and what to avoid in the journey of building an analytically sound team. The core processes in creating an effective analytics team and the importance of the business decision-making life cycle are explored to help achieve initial and sustainable success. The book demonstrates the various traits of a successful and high-performing analytics team and then delineates the path to achieve this with insights on the mindset, advanced analytics models, and predictions based on data analytics. It also emphasizes the significance of the macro and micro processes required to evolve in response to rapidly changing business needs. The book dives into the methods and practices of managing, developing, and leading an analytics team. Once you've brought the team up to speed, the book explains how to govern executive expectations and select winning projects. By the end of this book, you will have acquired the knowledge to create an effective business analytics team and develop a production environment that delivers ongoing operational improvements for your organization. What you will learnAvoid organizational and technological pitfalls of moving from a defined project to a production environmentEnable team members to focus on higher-value work and tasksBuild Advanced Analytics and Artificial Intelligence (AA&AI) functions in an organizationOutsource certain projects to competent and capable third partiesSupport the operational areas that intend to invest in business intelligence, descriptive statistics, and small-scale predictive analyticsAnalyze the operational area, the processes, the data, and the organizational resistanceWho this book is for This book is for senior executives, senior and junior managers, and those who are working as part of a team that is accountable for designing, building, delivering and ensuring business success through advanced analytics and artificial intelligence systems and applications. At least 5 to 10 years of experience in driving your organization to a higher level of efficiency will be helpful.

Author: Jumin Kamki
Publisher: Notion Press
ISBN: 1946556203
Category : Education
Languages : en
Pages : 428

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Book Description
SALIENT FEATURES OF BOOK • Easy to understand language with simple real life examples. • Primarily focused on Ecommerce and Retail industry. • Stepwise explanation of very basic to the complex of the statistical analysis. • All examples are solved using R and Excel or both. • Step by Step description of Pentaho BI Implementation - ETL, Report, OLAP & Dashboard. • Comprehensive coverage of topics including Probability Theories, Operation Analytics, Digital Marketing, BI Implementation, Web Analytics, Forecasting, Customer Analytics & Optimization. Application focus on current Digital Analytics Practices.

Author: Judah Phillips
Publisher: FT Press
ISBN: 0134177967
Category : Computers
Languages : en
Pages : 523

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Book Description
Ecommerce analytics encompasses specific, powerful techniques for collecting, measuring, analyzing, dashboarding, optimizing, personalizing, and automating data related to online sales and customers. If you participate in the $220 billion ecommerce space, you need expert advice on applying these techniques in your unique environment. Ecommerce Analytics is the only book to deliver the focused, coherent, and practical guidance you’re looking for. Authored by leading consultant and analytics team leader Judah Phillips, it shows how to leverage your massive, complex data resources to improve efficiency, grow revenue, reduce cost, and above all, boost profitability. This landmark guide focuses on using analytics to solve critical problems ecommerce organizations face, from improving brand awareness and favorability through generating demand; shaping digital behavior to accelerating conversion, improving experience to nurturing and re-engaging customers. Phillips shows how to: Implement and unify ecommerce analytics related to product, transactions, customers, merchandising, and marketing More effectively measure performance associated with customer acquisition, conversion, outcomes, and business impact Use analytics to identify the tactics that will create the most value, and execute them more effectively Think about and analyze the behavior of customers, prospects, and leads in ecommerce experiences Optimize paid/owned/earned marketing channels, product mix, merchandising, pricing/promotions/sales, browsing/shopping/purchasing, and other ecommerce functions Understand and model attribution Structure and socialize ecommerce teams for success Evaluate the potential impact of technology choices and platforms Understand the implications of ecommerce analytics on customer privacy, life, and society Preview the future of ecommerce analytics over the next 20 years

Author: Scot R Wheeler
Publisher: World Scientific
ISBN: 9814678430
Category : Business & Economics
Languages : en
Pages : 280

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Book Description
' In a world with a seemingly infinite amount of content and scores of methods for consuming that content, marketing communication today is about appealing to individuals, person by person. Effectively appealing to customers requires delivery of brand experiences built on relevance and recognition of context. Just as in any conversation, delivering relevance in context requires understanding the person one is speaking with and shared environment. Wheeler answers the biggest question facing digital marketers today: "with an ever expanding array of digital touch points at one's disposal, how does one deliver content and experiences around one's brand that build relationships and drives results?" The quick answer to this is "through the application of data and analytics to drive highly relevant, contextual targeted content and adaptive experience", but since this answer is not as easy to achieve as it is to say, Architecting Experience has been designed to help readers develop the understanding of marketing data, technology and analytics required to make this happen. Contents:The Foundations of PersonalizationStrategy, Technology, Science & ArtThe Applied Digital Analytics Playbook (ADAP) Part OneThe Changing World of Owned MediaEarned Media: Organic Social & SEOPaid Media AnalyticsTesting & Optimization. Marketing Automation. AttributionData Management, Models, and AlgorithmsThe Cultural and Organizational Impact of Data Readership: Suitable for postgraduate students in Digital and Direct Marketing Master''s programs and professionals in IT, Research, and Marketing. Key Features:Each chapter includes links to additional references, a set of review questions, and how-to exercisesProvides insight on a wider array of marketing technologies and perspective on how they are applied, overlap and/or complement each other in practice than any competing title, which specialize in one area of technology (e.g. dashboards and reporting, marketing automation, real-time buying)Provides education on the data-driven marketing technologies presently being utilized or adopted within digital marketing in paid, earned and owned channels such as web, social and mobile analytics, Customer Relationship Management tools, Marketing Automation systems, Data Management Platforms and Demand Side Platforms, and reveals how data should ideally flow into, out of and between these systems to make them work most effectively in creating integrated experiences for customersKeywords:Data;Analytics;Measurement;Marketing Analytics;Marketing Automation;Digital Analytics;Marketing Technology;Web Analytics;Mobile Analytics;Mobile measurement;Social Media Analytics;Media Measurement;Marketing Measurement;Marketing ROI;ROMI;Targeting;Personalization;Digital Marketing;Marketing;Experience Design;User Experience;UX'

Author: Peter C. Verhoef
Publisher: Routledge
ISBN: 1000465462
Category : Business & Economics
Languages : en
Pages : 337

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Book Description
The key competing texts are practitioner-focused ‘how to’ guides, whilst our book combines rigorous theory with practical insight and examples, with authors from both the academic and business world, making it more adoptable as a student text; Unlike other books on the subject, this has a customer focus and an exploration of how big data can add value to customers as well as organisations; Enables readers to move from "big data" to "big solutions" by demonstrating how to integrate data analytics into specific goals and processes for implementation; Highly successful and well regarded both for students and practitioners

Author: Peter C. Verhoef
Publisher: Routledge
ISBN: 1317561929
Category : Business & Economics
Languages : en
Pages : 339

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Book Description
Our newly digital world is generating an almost unimaginable amount of data about all of us. Such a vast amount of data is useless without plans and strategies that are designed to cope with its size and complexity, and which enable organisations to leverage the information to create value. This book is a refreshingly practical, yet theoretically sound roadmap to leveraging big data and analytics. Creating Value with Big Data Analytics provides a nuanced view of big data development, arguing that big data in itself is not a revolution but an evolution of the increasing availability of data that has been observed in recent times. Building on the authors’ extensive academic and practical knowledge, this book aims to provide managers and analysts with strategic directions and practical analytical solutions on how to create value from existing and new big data. By tying data and analytics to specific goals and processes for implementation, this is a much-needed book that will be essential reading for students and specialists of data analytics, marketing research, and customer relationship management.

Author: Carl Anderson
Publisher: "O'Reilly Media, Inc."
ISBN: 1491916885
Category : Business & Economics
Languages : en
Pages : 300

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Book Description
"What do you need to become a data-driven organization? Far more than having big data or a crack team of unicorn data scientists, it requires establishing an effective, deeply-ingrained data culture. This practical book shows you how true data-drivenness involves processes that require genuine buy-in across your company ... Through interviews and examples from data scientists and analytics leaders in a variety of industries ... Anderson explains the analytics value chain you need to adopt when building predictive business models"--Publisher's description.

Author: James J. Cochran
Publisher: John Wiley & Sons
ISBN: 1119483212
Category : Mathematics
Languages : en
Pages : 400

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Book Description
Standardizes the definition and framework of analytics #2 on Book Authority’s list of the Best New Analytics Books to Read in 2019 (January 2019) We all want to make a difference. We all want our work to enrich the world. As analytics professionals, we are fortunate - this is our time! We live in a world of pervasive data and ubiquitous, powerful computation. This convergence has inspired and accelerated the development of both analytic techniques and tools and this potential for analytics to have an impact has been a huge call to action for organizations, universities, and governments. This title from Institute for Operations Research and the Management Sciences (INFORMS) represents the perspectives of some of the most respected experts on analytics. Readers with various backgrounds in analytics – from novices to experienced professionals – will benefit from reading about and implementing the concepts and methods covered here. Peer reviewed chapters provide readers with in-depth insights and a better understanding of the dynamic field of analytics The INFORMS Analytics Body of Knowledge documents the core concepts and skills with which an analytics professional should be familiar; establishes a dynamic resource that will be used by practitioners to increase their understanding of analytics; and, presents instructors with a framework for developing academic courses and programs in analytics.