web analytics 2 0 avinash kaushik

Web Analytics 2.0 - Avinash Kaushik

Adeptly address today's business challenges with this powerful new book from web analytics thought leader Avinash Kaushik. Web Analytics 2. 0 presents a new framework that will permanently change how you think about analytics.

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Digital Analytics for Marketing - A. Karim Feroz, Marshall Sponder, Gohar F. Khan

This second edition of Digital Analytics for Marketing provides students with a comprehensive overview of the tools needed to measure digital activity and implement best practices when using data to inform marketing strategy. It is the first text of its kind to introduce students to analytics platforms from a practical marketing perspective.Demonstrating how to integrate large amounts of data from web, digital, social, and search platforms, this helpful guide offers actionable insights into data analysis, explaining how to "connect the dots" and "humanize" information to make effective marketing decisions. The authors cover timely topics, such as social media, web analytics, marketing analytics challenges, and dashboards, helping students to make sense of business measurement challenges, extract insights, and take effective actions. The bookÂ’s experiential approach, combined with chapter objectives, summaries, and review questions, will engage readers, deepening their learning by helping them to think outside the box.Filled with engaging, interactive exercises and interesting insights from industry experts, this book will appeal to undergraduate and postgraduate students of digital marketing, online marketing, and analytics.Online support materials for this book include an instructorÂ’s manual, test bank, and PowerPoint slides.

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Microsoft Azure Monitoring & Management - Avinash Valiramani

Proven best practices for success with every Azure monitoring and management service For cloud environments to deliver optimal value, their monitoring and management services must be designed, deployed, and managed well. Leading cloud consultant Avinash Valiramani shows how to simplify administration, reduce downtime, control cost, solve problems faster, and prepare for any workload in any environment. Explore detailed, expert coverage of Azure Backup, Azure Site Recovery, Azure Migrate, Azure Monitor, Azure Network Watcher, Azure Portal, Azure Cloud Shell, Azure Service Health, Azure Cost Management, and more. Whatever your role in delivering efficient, reliable cloud services, this best practice, deep dive guide will help you make the most of your Azure investment. Leading Azure consultant Avinash Valiramani shows how to: Back up on-premises, Azure-based, and other cloud workloads for short- and long-term retention Implement simple, stable, cost-effective business continuity/disaster recovery with Azure Site Recovery Discover, assess, and migrate diverse workloads to Azure, VMs, web apps, databases, and more Monitor all Azure applications, VMs, and other deployed services centrally via Azure Monitor Track, troubleshoot, and optimize networking for IaaS resources Create and manage anything from single-service solutions to complex multi-service architectures Run Azure Cloud Shell''s cloud-native command line from any device, anywhere ... Unknown localization key: "more"

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Reason to Be Happy - Kaushik Basu

''Reason to Be Happy is a wise and witty book that shows how thinking clearly can help us find happiness in our daily lives, get more of what we want, and even make the world a better place'' Hannah FryWhy do our friends have more friends than we do? How do you book the best available seats on a plane? And if jogging for ten minutes adds eight minutes to our life expectancy, should we still go jogging?The ability to reason is one of our most undervalued skills. In everyday life, the key is to put yourself in the shoes of a clever competitor and think about how they might respond. Whether you are dealing with events on the scale of the Cuban missile crisis or letting go of anger, leading economist Professor Kaushik Basu shows how game theory - the logic of social situations - can help us achieve better outcomes and lasting happiness.Full of fascinating thought experiments and puzzles, Reason to Be Happy is a paean to the power of rationality. If you want to have a good life and even make the world a better place, you can start by thinking clearly.

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Business Analytics - Mary Ellen Gordon

This new textbook focuses on how data and analytics can be used to help inform organisational decision-making across the business by complementing human judgement. Taking a highly practical approach, it covers major use cases for analytics across different business areas, including marketing analytics, HR analytics, operational analytics and financial analytics. This concise and readable book grounds discussion in the fundamentals of data, analytics and data visualisation, and in an understanding of the legal and ethical responsibilities that come with working with data. Key features include: • Analytics in Practice vignettes show how data and analytics have been applied in real organisations • Video interviews with industry professionals bring examples to life • A running case study and accompanying dataset allow you to apply what you have learnt Suitable for undergraduate and postgraduate students studying business analytics. Mary Ellen Gordon is Senior Professional Teaching Fellow/Senior Lecturer in the School of Information Systems at the Victoria University of Wellington, New Zealand.

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In Zero Trust We Trust - Avinash Naduvath

Before an enterprise answers “How can we achieve a Zero Trust architecture?” they should be asking “Why are we looking at Zero Trust as an access model? Does it align with our vision?” In an innovative format, Cisco security architecture expert Avinash Naduvath guides you through the philosophical questions and practical answers for an enterprise looking to start the Zero Trust journey. A conversational model will take you from the initial stages of identifying goals and pitching solutions, through practical tasks that highlight tangible outcomes—including common primary use cases—in order to bring focus to the correct implementation and maintenance of a Zero Trust architecture. For a future where success is measured as much by the security of a system as by the functionality, In Zero Trust We Trust is designed to help everyone at every stage and level of leadership understand not only the conceptual underpinnings, but the real-world context of when, how, and why to deploy Zero Trust security controls. This book provides the starting point for helping you change the mindset of others, and getting them to understand why Zero Trust isn’t simply a conversation to be had, but a movement to embrace. Origins of the Zero Trust ... Unknown localization key: "more"

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Decision-Driven Analytics - Bart De Langhe, Stefano Puntoni

Companies have more data at their fingertips than ever before. Yet, studies show that many executives and organizations fail to extract real value from it. Challenging the conventional wisdom of data-driven decision-making, marketing professors and behavioral scientists Bart De Langhe and Stefano Puntoni argue that many analytics efforts flounder because data analyses are disconnected from the decisions to be made. In their important book, they offer a new approach they call decision-driven analytics. Counterintuitively, they argue that the key to making good decisions with data is to start by putting data in the background. Drawing from their own research and teaching, as well as real-world business cases, De Langhe and Puntoni offer four pillars of decision-driven analytics and guide you around common mistakes that have held back many organizations from using data for impact. In Decision-Driven Analytics, you will learn how to: + Avoid common pitfalls in data-driven decision-making; + Close the gap between managers and decision-making on one side, and data scientists and data analytics on the other; + Enhance the impact of data analytics on business outcomes; + Think without data to make better decisions; + Prepare for artificial intelligence's impact on data analytics; and + Evaluate the ... Unknown localization key: "more"

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Machine Learning for Business Analytics - Galit Shmueli, Peter C. Bruce, Nitin R. Patel, Kuber R. Deokar

MACHINE LEARNING FOR BUSINESS ANALYTICS Machine learning—also known as data mining or predictive analytics—is a fundamental part of data science. It is used by organizations in a wide variety of arenas to turn raw data into actionable information. Machine Learning for Business Analytics: Concepts, Techniques, and Applications with Analytic Solver® Data Mining provides a comprehensive introduction and an overview of this methodology. The fourth edition of this best-selling textbook covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, rule mining, recommendations, clustering, text mining, experimentation, time series forecasting and network analytics. Along with hands-on exercises and real-life case studies, it also discusses managerial and ethical issues for responsible use of machine learning techniques. This fourth edition of Machine Learning for Business Analytics also includes: An expanded chapter on deep learningA new chapter on experimental feedback techniques, including A/B testing, uplift modeling, and reinforcement learningA new chapter on responsible data scienceUpdates and new material based on feedback from instructors teaching MBA, Masters in Business Analytics and related programs, undergraduate, diploma and executive courses, and from their studentsA full chapter devoted to relevant case studies with more than a dozen cases demonstrating applications for the machine learning techniquesEnd-of-chapter ... Unknown localization key: "more"

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Machine Learning for Business Analytics - Peter Gedeck, Galit Shmueli, Peter C. Bruce, Nitin R. Patel, Inbal Yahav

MACHINE LEARNING FOR BUSINESS ANALYTICS Machine learning —also known as data mining or data analytics— is a fundamental part of data science. It is used by organizations in a wide variety of arenas to turn raw data into actionable information. Machine Learning for Business Analytics: Concepts, Techniques, and Applications in R provides a comprehensive introduction and an overview of this methodology. This best-selling textbook covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, rule mining, recommendations, clustering, text mining, experimentation, and network analytics. Along with hands-on exercises and real-life case studies, it also discusses managerial and ethical issues for responsible use of machine learning techniques. This is the second R edition of Machine Learning for Business Analytics. This edition also includes: A new co-author, Peter Gedeck, who brings over 20 years of experience in machine learning using RAn expanded chapter focused on discussion of deep learning techniquesA new chapter on experimental feedback techniques including A/B testing, uplift modeling, and reinforcement learningA new chapter on responsible data scienceUpdates and new material based on feedback from instructors teaching MBA, Masters in Business Analytics and related programs, undergraduate, diploma and executive courses, and from their studentsA full chapter devoted ... Unknown localization key: "more"

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Sports Analytics - Allistair McRobert, Peter O'Donoghue, Giles Oatley, Ambikesh Jayal

As the analysis of big datasets in sports performance becomes a more entrenched part of the sporting landscape, so the value of sport scientists and analysts with formal training in data analytics grows. Sports Analytics: Analysis, Visualisation and Decision Making in Sports Performance provides the most authoritative and comprehensive guide to the use of analytics in sport and its application in sports performance, coaching, talent identification and sports medicine available.Employing an approach-based structure and integrating problem-based learning throughout the text, the book clearly defines the difference between analytics and analysis and goes on to explain and illustrate methods including:Interactive visualisationSimulation and modellingGeospatial data analysisSpatiotemporal analysisMachine learningGenomic data analysisSocial network analysisOffering a mixed-methods case study chapter, no other book offers the same level of scientific grounding or practical application in sports data analytics. Sports Analytics is essential reading for all students of sports analytics, and useful supplementary reading for students and professionals in talent identification and development, sports performance analysis, sports medicine and applied computer science.

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Machine Learning for Business Analytics

Machine Learning is an integral tool in a business analyst’s arsenal because the rate at which data is being generated from different sources is increasing and working on complex unstructured data is becoming inevitable. Data collection, data cleaning, and data mining are rapidly becoming more difficult to analyze than just importing information from a primary or secondary source. The machine learning model plays a crucial role in predicting the future performance and results of a company. In real-time, data collection and data wrangling are the important steps in deploying the models. Analytics is a tool for visualizing and steering data and statistics. Business analysts can work with different datasets -- choosing an appropriate machine learning model results in accurate analyzing, forecasting the future, and making informed decisions. The global machine learning market was valued at $1.58 billion in 2017 and is expected to reach $20.83 billion in 2024 -- growing at a CAGR of 44.06% between 2017 and 2024. The authors have compiled important knowledge on machine learning real-time applications in business analytics. This book enables readers to get broad knowledge in the field of machine learning models and to carry out their future research work. The future trends of ... Unknown localization key: "more"

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Key Business Analytics - Bernard Marr

Key Business Analytics will help managers apply tools to turn data into insights that help them better understand their customers, optimize their internal processes and identify cost savings and growth opportunities. It includes analysis techniques within the following categories: Financial analytics – cashflow, profitability, sales forecasts Market analytics – market size, market trends, marketing channels Customer analytics – customer lifetime values, social media, customer needs Employee analytics – capacity, performance, leadership Operational analytics – supply chains, competencies, environmental impact Bare business analytics – sentiments, text, correlations Each tool will follow the bestselling Key format of being 5-6 pages long, broken into short sharp advice on the essentials: What is it? When should I use it? How do I use it? Tips and pitfalls Further reading This essential toolkit also provides an invaluable section on how to gather original data yourself through surveys, interviews, focus groups, etc.

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Business Analytics, Global Edition - James Evans

A balanced and holistic approach to business analytics Business Analytics teaches the fundamental concepts of modern business analytics and provides vital tools in understanding how data analysis works in today''s organisations. Author James Evans takes a fair and comprehensive, approach, examining business analytics from both descriptive and predictive perspectives. Students learn how to apply basic principles, communicate with analytics professionals, and effectively use and interpret analytic models to make better business decisions. And included access to commercial grade analytics software gives students real-world experience and career-focused value. As such, the 3rd Edition has gone through an extensive revision and now relies solely on Excel, enhancing students'' skills in the program and basic understanding of fundamental concepts.

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A General Introduction to Data Analytics - Tomáš Horváth, Andre Carvalho, Joao Moreira

A guide to the principles and methods of data analysis that does not require knowledge of statistics or programming A General Introduction to Data Analytics is an essential guide to understand and use data analytics. This book is written using easy-to-understand terms and does not require familiarity with statistics or programming. The authors—noted experts in the field—highlight an explanation of the intuition behind the basic data analytics techniques. The text also contains exercises and illustrative examples. Thought to be easily accessible to non-experts, the book provides motivation to the necessity of analyzing data. It explains how to visualize and summarize data, and how to find natural groups and frequent patterns in a dataset. The book also explores predictive tasks, be them classification or regression. Finally, the book discusses popular data analytic applications, like mining the web, information retrieval, social network analysis, working with text, and recommender systems. The learning resources offer: A guide to the reasoning behind data mining techniquesA unique illustrative example that extends throughout all the chaptersExercises at the end of each chapter and larger projects at the end of each of the text’s two main parts Together with these learning resources, the book can be used in ... Unknown localization key: "more"

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Data and Analytics for Instructional Designers - Megan Torrance

Add Data and Analytics to Your TD ToolkitInstructional design pro Megan Torrance addresses the importance of instructional designers accessing and applying learning and performance data—from how to design learning experiences with data collection in mind to how to use the data to improve and evaluate those experiences. With the advance of new learning technologies and data specifications, instructional designers have access to more and richer data sources than ever before. With that comes the question of what to do with the data. While most data and analytics books focus on their application for measurement and evaluation and assume a prior baseline understanding of what learning data and analytics mean, Data and Analytics for Instructional Designers delves into the foundational concepts that will enable instructional designers and L&D professionals to use data in their roles. Split into two parts, the book first defines key data and analytics terms, data specifications, learning metrics, and statistical concepts. It then lays out a framework for using learning data for planning how to gather data and to building scale and maturity in your data operations. Megan reassures readers that basic math skills with some computer assistance is what you’ll need to get going. So set ... Unknown localization key: "more"

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The Practical Guide to HR Analytics - Lindsay McFarlane, Valerie Streets, Shonna D. Waters PhD, Rachael Johnson-Murra

The need for HR professionals to understand and apply data analytics is greater than ever. Today’s successful HR professionals must ask insightful questions, understand key terms, and intelligently apply data, but may lack a clear understanding of the many forms, types, applications, interpretations, and capabilities of HR analytics.HR Analytics provides a practical approach to using data to solve real HR challenges in organizations and demystifies analytics with clear guidelines and recommendations for making the business case, starting an HR analytics function, avoiding common pitfalls, presenting data through visualization and storytelling, and much more.

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Strategic Analytics: The Insights You Need from Harvard Business Review - Eric Siegel, Harvard Business Review, Thomas H. Davenport, Cassie Kozyrkov,

Is your company ready for the next wave of analytics?Data analytics offer the opportunity to predict the future, use advanced technologies, and gain valuable insights about your business. But unless you''re staying on top of the latest developments, your company is wasting that potential--and your competitors will be gaining speed while you fall behind.Strategic Analytics: The Insights You Need from Harvard Business Review will provide you with today''s essential thinking about what data analytics are capable of, what critical talents your company needs to reap their benefits, and how to adopt analytics throughout your organization--before it''s too late.Business is changing. Will you adapt or be left behind?Get up to speed and deepen your understanding of the topics that are shaping your company''s future with the Insights You Need from Harvard Business Review series. Featuring HBR''s smartest thinking on fast-moving issues--blockchain, cybersecurity, AI, and more--each book provides the foundational introduction and practical case studies your organization needs to compete today and collects the best research, interviews, and analysis to get it ready for tomorrow. You can''t afford to ignore how these issues will transform the landscape of business and society. The Insights You Need series will help you grasp these critical ... Unknown localization key: "more"

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Practical Data Analytics for Innovation in Medicine - Thomas Cahill, Robert Nisbet, Gary D. Miner, Scott Burk, Nephi Walton, Mitchell Goldstein, L

Practical Data Analytics for Innovation in Medicine: Building Real Predictive and Prescriptive Models in Personalized Healthcare and Medical Research Using AI, ML, and Related Technologies, Second Edition discusses the needs of healthcare and medicine in the 21st century, explaining how data analytics play an important and revolutionary role. With healthcare effectiveness and economics facing growing challenges, there is a rapidly emerging movement to fortify medical treatment and administration by tapping the predictive power of big data, such as predictive analytics, which can bolster patient care, reduce costs, and deliver greater efficiencies across a wide range of operational functions. Sections bring a historical perspective, highlight the importance of using predictive analytics to help solve health crisis such as the COVID-19 pandemic, provide access to practical step-by-step tutorials and case studies online, and use exercises based on real-world examples of successful predictive and prescriptive tools and systems. The final part of the book focuses on specific technical operations related to quality, cost-effective medical and nursing care delivery and administration brought by practical predictive analytics.

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Data Analytics Applications in Gaming and Entertainment

The last decade has witnessed the rise of big data in game development as the increasing proliferation of Internet-enabled gaming devices has made it easier than ever before to collect large amounts of player-related data. At the same time, the emergence of new business models and the diversification of the player base have exposed a broader potential audience, which attaches great importance to being able to tailor game experiences to a wide range of preferences and skill levels. This, in turn, has led to a growing interest in data mining techniques, as they offer new opportunities for deriving actionable insights to inform game design, to ensure customer satisfaction, to maximize revenues, and to drive technical innovation. By now, data mining and analytics have become vital components of game development. The amount of work being done in this area nowadays makes this an ideal time to put together a book on this subject.Data Analytics Applications in Gaming and Entertainment seeks to provide a cross section of current data analytics applications in game production. It is intended as a companion for practitioners, academic researchers, and students seeking knowledge on the latest practices in game data mining. The chapters have been chosen in ... Unknown localization key: "more"

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Lean Analytics - Alistair Croll, Benjamin Yoskovitz

Whether you're a startup founder trying to disrupt an industry or an entrepreneur trying to provoke change from within, your biggest challenge is creating a product people actually want. Lean Analytics steers you in the right direction. This book shows you how to validate your initial idea, find the right customers, decide what to build, how to monetize your business, and how to spread the word. Packed with more than thirty case studies and insights from over a hundred business experts, Lean Analytics provides you with hard-won, real-world information no entrepreneur can afford to go without. Understand Lean Startup, analytics fundamentals, and the data-driven mindset Look at six sample business models and how they map to new ventures of all sizes Find the One Metric That Matters to you Learn how to draw a line in the sand, so you'll know it's time to move forward Apply Lean Analytics principles to large enterprises and established products

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Business Analytics - James Abdey

Analytical skills are in high demand but short supply. Through a unique combination of data visualisation and analytics (both theoretical and applied), this ground-breaking textbook provides you with the expertise to analyse, interpret and communicate data with confidence, to inform real-world decision-making. Key features include: • Clear signalling of introductory, intermediate and advanced content • An entire chapter dedicated to data visualisation, introducing Tableau for storytelling with data • Motivational cases throughout showing how the theory relates to real life • A wide variety of end-of-chapter exercises to test your understanding of the topics covered • Online examples and datasets to help you master your analytics skills through hands-on learning Lecturers also have  access a range of online resources developed to support teaching, including a Teaching Guide, solutions to end-of-chapter exercises, PowerPoints and a testbank. Business Analytics: Applied Modelling and Prediction is suitable for undergraduate and postgraduate students of Business Analytics. Dr James Abdey is an Associate Professor (Education) in Statistics at The London School of Economics and Political Science (LSE).

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Data Analytics for Smart Infrastructure - Bin Liang, Zhidong Li, Yang Wang, Ting Guo, Hongda Tian, Fang Chen

This book presents, for the first time, data analytics for smart infrastructures. The authors draw on over a decadeÂ’s experience working with industry and demonstrating the capabilities of data analytics for infrastructure and asset management. The volume gives data-driven solutions to cover critical capabilities for infrastructure and asset management across three domains: 1) situation awareness 2) predictive analytics and 3) decision support. The reader will gain from various data analytic techniques including anomaly detection, performance evaluation, failure prediction, trend analysis, asset prioritization, smart sensing and real-time/online systems. These data analytic techniques are vital to solving problems in infrastructure and asset management. The reader will benefit from case studies drawn from critical infrastructures such as water management, structural health monitoring and rail networks. This groundbreaking work will be essential reading for those studying and practicing analytics in the context of smart infrastructure.

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Business Analytics, Cengage International Edition - Michael Frye, James Cochran, Jeffrey Camm, Jeffrey Ohlmann

Develop the analytical skills that are in high demand in businesses today with Camm/Cochran/Fry/Ohlmann''s best-selling BUSINESS ANALYTICS, CENGAGE INTERNATIONAL EDITION 5E. You master the full range of analytics as you strengthen descriptive, predictive and prescriptive analytic skills. Real examples and memorable visuals clearly illustrate data and results. Step-by-step instructions guide you through using Excel, Tableau, R or the Python-based Orange data mining software to perform advanced analytics. Practical, relevant problems at all levels of difficulty let you apply what you''ve learned. Updates throughout this edition address topics beyond traditional quantitative concepts, such as data wrangling, data visualization and data mining, which are increasingly important in today''s business environment. MindTap and WebAssign online learning platforms are also available with an interactive eBook, algorithmic practice problems and Exploring Analytics visualizations to strengthen your understanding of key concepts.

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Google Analytics (978-80-271-0338-6)

Elektronická kniha - autor Jan Brunec, 144 stran Google Analytics je bezplatný nástroj, který umožňuje správcům a majitelům webových stránek získat velmi přesná data o chování návštěvníků měřeného webu. Díky němu se například dozví, odkud návštěvník přišel, které stránky navštívil, jaké provedl kroky k tomu, aby se stal zákazníkem. Všechny tyto informace představují pro provozovatele webu skutečný poklad, který lze efektivně využít pro zvýšení jeho výkonnosti i potenciálních zisků. Kniha vás postupně provede všemi aspekty práce s Google Analytics: od správné implementace měřicího kódu přes vyhodnocení naměřených výsledků, návrh vhodných úprav webových stránek až po pokročilé tipy a triky, které dovedou vaše měření k dokonalosti. Ať již provozujete rozsáhlý e-shop, nebo jen malé webové stránky, Google Analytics pro vás bude představovat neocenitelného pomocníka.

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People Analytics For Dummies - Mike West

Maximize performance with better data Developing a successful workforce requires more than a gut check. Data can help guide your decisions on everything from where to seat a team to optimizing production processes to engaging with your employees in ways that ring true to them. People analytics is the study of your number one business asset—your people—and this book shows you how to collect data, analyze that data, and then apply your findings to create a happier and more engaged workforce. Start a people analytics projectWork with qualitative dataCollect data via communications Find the right tools and approach for analyzing data If your organization is ready to better understand why high performers leave, why one department has more personnel issues than another, and why employees violate, People Analytics For Dummies makes it easier.Â

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Applied Marketing Analytics Using R - Gokhan Yildirim, Raoul V. Kubler

Marketing has become increasingly data-driven in recent years as a result of new emerging technologies such as AI, granular data availability and ever-growing analytics tools. With this trend only set to continue, it’s vital for marketers today to be comfortable in their use of data and quantitative approaches and have a thorough grounding in understanding and using marketing analytics in order to gain insights, support strategic decision-making, solve marketing problems, maximise value and achieve success. Taking a very hands-on approach with the use of real-world datasets, case studies and R (a free statistical package), this book supports students and practitioners to explore a range of marketing phenomena using various applied analytics tools, with a balanced mix of technical coverage alongside marketing theory and frameworks. Chapters include learning objectives, figures, tables and questions to help facilitate learning. Supporting online resources are available to instructors to support teaching, including datasets and software codes and solutions (R Markdowns, HTML files) as well as PowerPoint slides, a teaching guide and a testbank. This book is essential reading for advanced level marketing students and marketing practitioners who want to become cutting-edge marketers. Dr. Gokhan Yildirim is an Associate Professor of Marketing at Imperial College Business ... Unknown localization key: "more"

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Leading with AI and Analytics: Build Your Data Science IQ to Drive Business Value - Eric Anderson, Florian Zettelmeyer

Lead your organization to become evidence-drivenData. It’s the benchmark that informs corporate projections, decision-making, and analysis. But, why do many organizations that see themselves as data-driven fail to thrive? In Leading with AI and Analytics, two renowned experts from the Kellogg School of Management show business leaders how to transform their organization to become evidence-driven, which leads to real, measurable changes that can help propel their companies to the top of their industries.The availability of unprecedented technology-enabled tools has made AI (Artificial Intelligence) an essential component of business analytics. But what’s often lacking are the leadership skills to integrate these technologies to achieve maximum value. Here, the authors provide a comprehensive game plan for developing that all-important human factor to get at the heart of data science: the ability to apply analytical thinking to real-world problems. Each of these tools and techniques comes to powerful life through a wealth of powerful case studies and real-world success stories.Inside, you’ll find the essential tools to help you:Develop a strong data science intuition quotientLead and scale AI and analytics throughout your organizationMove from “best-guess” decision making to evidence-based decisionsCraft strategies and tactics to create real impactWritten for anyone in a leadership or management ... Unknown localization key: "more"

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Embedded Analytics - Donald Farmer, Jim Horbury

The adoption of data analytics has remained remarkably static - perhaps reaching no more than thirty percent of potential users. This book explores the most important techniques for taking that adoption further: embedding analytics into the workflow of our everyday operations.

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Application Development with SAP Analytics Cloud - Josef Hampp

Ready to make the most of your SAP Analytics Cloud applications? Learn to develop, deploy, and monitor custom analytical applications with this practical scripting guide! Follow step-by-step instructions and programming examples for each stage of development. Customize your dashboards and applications with widgets and APIs, and then adapt them to the needs of your users, whether youÂ’re developing planning or business intelligence applications. This is your complete handbook to scripting in SAP Analytics Cloud!Highlights include:1) Architecture2) Data modeling and connectivity3) Development environment4) Scripts and wizards5) BI applications6) Planning applications7) Dashboards8) Predictive analytics9) Standard and custom widgets10) APIs 11) Stories12) JavaScript

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A Hands-on Introduction to Big Data Analytics - Funmi Obembe, Ofer Engel

This practical textbook offers a hands-on introduction to big data analytics, helping you to develop the skills required to hit the ground running as a data professional. It complements theoretical foundations with an emphasis on the application of big data analytics, illustrated by real-life examples and datasets. Containing comprehensive coverage of all the key topics in this area, this book uses open-source technologies and examples in Python and Apache Spark. Learning features include:  - Ethics by Design encourages you to consider data ethics at every stage.  - Industry Insights facilitate a deeper understanding of the link between what you are studying and how it is applied in industry.  - Datasets, questions, and exercises give you the opportunity to apply your learning. Dr Funmi Obembe is the Head of Technology at the Faculty of Arts, Science and Technology, University of Northampton. Dr Ofer Engel is a Data Scientist at the University of Groningen.

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Product Analytics - Joanne Rodrigues

Product Analytics is a complete, hands-on guide to generating actionable business insights from customer data. Experienced data scientist and enterprise manager Joanne Rodrigues introduces practical statistical techniques for determining why things happen and how to change what people do at scale. She complements these with powerful social science techniques for creating better theories, designing better metrics, and driving more rapid and sustained behavior change. Writing for entrepreneurs, product managers/marketers, and other business practitioners, Rodrigues teaches through intuitive examples from both web and offline environments. Avoiding math-heavy explanations, she guides you step by step through choosing the right techniques and algorithms for each application, running analyses in R, and getting answers you can trust. Develop core metrics and effective KPIs for user analytics in any web product Truly understand statistical inference, and the differences between correlation and causation Conduct more effective A/B tests Build intuitive predictive models to capture user behavior in products Use modern, quasi-experimental designs and statistical matching to tease out causal effects from observational data Improve response through uplift modeling and other sophisticated targeting methods Project business costs/subgroup population changes via advanced demographic projection Whatever your product or service, this guide can help you create precision-targeted marketing campaigns, ... Unknown localization key: "more"

Objev podobné jako Product Analytics - Joanne Rodrigues

Data Analytics for Internal Auditors - Richard E. Cascarino

There are many webinars and training courses on Data Analytics for Internal Auditors, but no handbook written from the practitioner’s viewpoint covering not only the need and the theory, but a practical hands-on approach to conducting Data Analytics. The spread of IT systems makes it necessary that auditors as well as management have the ability to examine high volumes of data and transactions to determine patterns and trends. The increasing need to continuously monitor and audit IT systems has created an imperative for the effective use of appropriate data mining tools. This book takes an auditor from a zero base to an ability to professionally analyze corporate data seeking anomalies.

Objev podobné jako Data Analytics for Internal Auditors - Richard E. Cascarino

Data Analytics for Business - Wolfgang Garn

We are drowning in data but are starved for knowledge. Data Analytics is the discipline of extracting actionable insights by structuring, processing, analysing and visualising data using methods and software tools. Hence, we gain knowledge by understanding the data. A roadmap to achieve this is encapsulated in the knowledge discovery in databases (KDD) process. Databases help us store data in a structured way. The structure query language (SQL) allows us to gain first insights about business opportunities. Visualising the data using business intelligence tools and data science languages deepens our understanding of the key performance indicators and business characteristics. This can be used to create relevant classification and prediction models; for instance, to provide customers with the appropriate products or predict the eruption time of geysers. Machine learning algorithms help us in this endeavour. Moreover, we can create new classes using unsupervised learning methods, which can be used to define new market segments or group customers with similar characteristics. Finally, artificial intelligence allows us to reason under uncertainty and find optimal solutions for business challenges. All these topics are covered in this book with a hands-on process, which means we use numerous examples to introduce the concepts and several software ... Unknown localization key: "more"

Objev podobné jako Data Analytics for Business - Wolfgang Garn

Supply Chain and Operations Analytics - Anindita Maitra Bhattacharyya, Rabindranath Bhattacharya

This book presents concepts, strategies, and decision-making processes of supply chain and operations management through simple to advanced analytics. It provides the tools necessary to comprehend supply chain and operations management, quantitatively and analytically, through exercises and examples. Using accessible quantitative models, this volume provides a unified framework for supply chain analytics for products?right from sourcing to manufacturing to delivery and remanufacturing, which closes the supply chain. This book synthesizes a collection of models in all the areas of supply chain like Sourcing, Inventory, Production planning and control, forecasting of demand, Transportation, Network planning and Design, Data aggregation and mining and return of products in the context of both formulation and solution of the problems in each area using suitable software and Excel Solver for the ease of understanding. Use of simulation, stochastic and system design models are added attractions of the book.This book will be useful to the students, researchers and faculty working in the field of Supply chain Management, Operations Management, and Industrial Engineering, both at Graduate and research levels. It will also be an invaluable companion to consultants and practitioners, working with models and modelling systems, helping them make better supply chain decisions.

Objev podobné jako Supply Chain and Operations Analytics - Anindita Maitra Bhattacharyya, Rabindranath Bhattacharya

Modeling Operations Research and Business Analytics - Fox-Pitt William, Robert E. Burks

This book provides sample exercises, techniques, and solutions to employ mathematical modeling to solve problems in Operations Research and Business Analytics. Each chapter begins with a scenario and includes exercises built on realistic problems faced by managers and others working in operations research, business analytics, and other fields employing applied mathematics. A set of assumptions is presented, and then a model is formulated. A solution is offered, followed by examples of how that model can be used to address related issues.Key elements of this book include the most common problems the authors have encountered over research and while consulting the fields including inventory theory, facilities'' location, linear and integer programming, assignment, transportation and shipping, critical path, dynamic programming, queuing models, simulation models, reliability of system, multi-attribute decision-making, and game theory.In the hands of an experienced professional, mathematical modeling can be a powerful tool. This book presents situations and models to help both professionals and students learn to employ these techniques to improve outcomes and to make addressing real business problems easier. The book is essential for all managers and others who would use mathematics to improve their problem-solving techniques.No previous exposure to mathematical modeling is required. The book can then ... Unknown localization key: "more"

Objev podobné jako Modeling Operations Research and Business Analytics - Fox-Pitt William, Robert E. Burks

The Financial Times Guide to Data-Driven Transformation: How to drive substantial business value with data analytics - Andrea De Mauro, Michele Pacifi

This is the book that helps managers maximise the business value brought by data to their organisation. Are you eager to unlock the power of data in your organization? In the Financial Times Guide to Data Driven Transformation, Andrea De Mauro and Michele Pacifico provide a comprehensive roadmap for leaders aiming to harness the full potential of data analytics. This guide is designed for top executives, data leaders, and practitioners who are seeking to drive substantial business value and navigate the complex landscape of digital transformation. The book covers key strategies for building data-driven cultures, developing analytics roadmaps, and leveraging artificial intelligence to support decision-making. Through practical insights and real-world examples, the authors show how businesses can unlock value from their data assets, streamline operations, and gain a competitive advantage. Whether you''re at the early stages of your data journey or looking to enhance existing capabilities, this guide offers the tools you need to succeed. Drawing from the extensive experience of both authors, this book is more than a theoretical guide; it''s a hands-on, actionable resource tailored for professionals who want to make data an integral part of their company’s strategy and operational excellence.

Objev podobné jako The Financial Times Guide to Data-Driven Transformation: How to drive substantial business value with data analytics - Andrea De Mauro, Michele Pacifi

PHP and MySQL Web Development - Luke Welling, Laura Thomson

PHP and MySQL Web Development, Fifth Edition The definitive guide to building database-driven Web applications with PHP and MySQL PHP and MySQL are popular open-source technologies that are ideal for quickly developing database-driven Web applications. PHP is a powerful scripting language designed to enable developers to create highly featured Web applications quickly, and MySQL is a fast, reliable database that integrates well with PHP and is suited for dynamic Internet-based applications. PHP and MySQL Web Development shows how to use these tools together to produce effective, interactive Web applications. It clearly describes the basics of the PHP language, explains how to set up and work with a MySQL database, and then shows how to use PHP to interact with the database and the server. This practical, hands-on book consistently focuses on real-world applications, even in the introductory chapters. The authors cover important aspects of security and authentication as they relate to building a real-world website and show you how to implement these aspects in PHP and MySQL. They also introduce you to the integration of front-end and back-end technologies by using JavaScript in your application development. The final part of this book describes how to approach real-world projects and takes ... Unknown localization key: "more"

Objev podobné jako PHP and MySQL Web Development - Luke Welling, Laura Thomson

Connecting Arduino to the Web - Indira Knight

Create physical interfaces that interact with the Internet and web pages. With Arduino and JavaScript you can create interactive physical displays and connected devices that send data to or receive data from the web. You''ll take advantage of the processes needed to set up electronic components, collect data, and create web pages able to interact with electronic components.Through exercises, projects, and explanations, this book will give you the core front end web development and electronics skills needed to create connected physical interfaces and build compelling visualizations with a range of JavaScript libraries.By the end of the book you will have developed fully working interactive prototypes capable of sending data to and receiving data from a physical interface. Most importantly, Connecting Arduino to the Web will give you a taste of what is possible and the knowledge to create your own connected physical interfaces and bring the web into your electronics projects.What You''ll LearnBuild an Internet of Things dashboard that updates with electronics attached to an ArduinoUse components to interact with online 3D displaysCreate web pages with HTML and CSSSet up a Node.js serverUse WebSockets to process live dataInteract with scalable vector graphics (SVG)Who This Book Is ForTechnologists, developers, and enthusiasts ... Unknown localization key: "more"

Objev podobné jako Connecting Arduino to the Web - Indira Knight

Web Coding & Development All-in-One For Dummies - Paul McFedries

Learn the in-demand skills that let you turn lines of code into websites and apps Web Coding & Development All-in-One For Dummies is a one-stop resource for would-be developers who need guidance on the languages and steps used to build websites and applications. Learn the coding ropes and expand your existing skillset with this easy-to-understand guide. In these complete mini-books, you’ll walk through the basics of web development, structuring a page, building and processing web forms, and beyond. Learn how to build a website or create your very own app with the advice of web coding and development experts. This edition expands JavaScript and CSS coverage while providing new content on server-side coding and the development stack. Get essential knowledge of how web development works—even if you’ve never written a line of code in your lifeLearn HTML, CSS, JavaScript, and other languages essential for building websites and appsDiscover how to make optimize your sites and apps for mobile devicesExpand on what you already know and improve your employabilityThis Dummies All-in-One is great for you if want to develop coding skills but don’t have a programming background. It’s also perfect for professionals looking to brush up on their web development skills ... Unknown localization key: "more"

Objev podobné jako Web Coding & Development All-in-One For Dummies - Paul McFedries

Database-Driven Web Sites - Kristin Antelman

A reference you?ll turn to whenever you need a practical solution to your online content delivery problems! Don?t depend on static HTML to meet your clients? demand for information?use Database-Driven Web Sites to help you find the dynamic program that will get the job done with ease. This book contains profiles of successful content delivery solutions in a variety of library situations, from academic to governmental, and covers many associated elements, such as web site redesign, digitization, and electronic access to archival information. Plentiful illustrations and straightforward language will make this book a valuable addition to your collections. Among the topics Database-Driven Web Sites examines are: staff skill development issues building a frequently asked questions (FAQ) database managing bibliographic citation software online reference collections in collegiate libraries developing portal web sites for state governments This book aims to empower librarians to create new services that would be impossible with strictly HTML-based web sites, so along with advice from professionals, Database-Driven Web Sites offers you practical tips for managing complex projects and includes numerous links to online resources and software.

Objev podobné jako Database-Driven Web Sites - Kristin Antelman

Database-Driven Web Sites - Kristin Antelman

A reference you?ll turn to whenever you need a practical solution to your online content delivery problems! Don?t depend on static HTML to meet your clients? demand for information?use Database-Driven Web Sites to help you find the dynamic program that will get the job done with ease. This book contains profiles of successful content delivery solutions in a variety of library situations, from academic to governmental, and covers many associated elements, such as web site redesign, digitization, and electronic access to archival information. Plentiful illustrations and straightforward language will make this book a valuable addition to your collections. Among the topics Database-Driven Web Sites examines are: staff skill development issues building a frequently asked questions (FAQ) database managing bibliographic citation software online reference collections in collegiate libraries developing portal web sites for state governments This book aims to empower librarians to create new services that would be impossible with strictly HTML-based web sites, so along with advice from professionals, Database-Driven Web Sites offers you practical tips for managing complex projects and includes numerous links to online resources and software.

Objev podobné jako Database-Driven Web Sites - Kristin Antelman

Automatické zpracování dat pomocí KNIME Analytics Platform (999-00-032-6155-7)

Elektronická kniha - autor Vladimír Löffler, 283 stran, česky Publikace představuje vizuální nástroj, který přináší každému zájemci možnost automatizovat pořizování, úpravy, transformace, spojování, či vizualizaci dat, a to bez nutnosti použít programování. Na 20 praktických příkladech čtenáře postupně uvede do atraktivního tématu asistované a autonomní automatizace pomocí globální open-sourcové platformy „KNIME Analytics Platform“. Všechny příklady, včetně datových souborů, si lze stáhnout a prakticky vyzkoušet. Příklady z praxe mohou posloužit i jako vzory a lze je snadno přizpůsobit čtenářovým potřebám. Kniha rovněž obsahuje množství odkazů na další dostupné zdroje.

Objev podobné jako Automatické zpracování dat pomocí KNIME Analytics Platform (999-00-032-6155-7)

People Analytics - Cole Napper

Use this practical guide to learn how to use people analytics, HR data and generative AI to add value to the business.

Objev podobné jako People Analytics - Cole Napper

Business Analytics - Kenneth R. Baker, Stephen G. Powell

Now in its fifth edition, Powell and Baker's Business Analytics: The Art of Modeling with Spreadsheets provides students and business analysts with the technical knowledge and skill needed to develop real expertise in business modeling. In this book, the authors cover spreadsheet engineering, management science, and the modeling craft. The briefness & accessibility of this title offers opportunities to integrate other materials –such as cases -into the course. It can be used in any number of courses or departments where modeling is a key skill.

Objev podobné jako Business Analytics - Kenneth R. Baker, Stephen G. Powell

People Analytics Explained - Kinsey Li

Gain essential HR skills to kickstart your career with this practical book to excel in people analytics.

Objev podobné jako People Analytics Explained - Kinsey Li

Digital Marketing Analytics - Chuck Hemann, Ken Burbary

Distill Maximum Value from Your Digital Data! Do It Now! Why hasn’t all that data delivered a whopping competitive advantage? Because you’ve barely begun to use it, that’s why! Good news: neither have your competitors. It’s hard! But digital marketing analytics is 100% doable, it offers colossal opportunities, and all of the data is accessible to you. Chuck Hemann and Ken Burbary will help you chop the problem down to size, solve every piece of the puzzle, and integrate a virtually frictionless system for moving from data to decision, action to results! Scope it out, pick your tools, learn to listen, get the metrics right, and then distill your digital data for maximum value for everything from R&D to customer service to social media marketing! Prioritize—because you can’t measure and analyze everything Use analysis to craft experiences that profoundly reflect each customer’s needs, expectations, and behaviors Measure real digital media ROI: sales, leads, and customer satisfaction Track the performance of all paid, earned, and owned digital channels Leverage digital data way beyond PR and marketing: for strategic planning, product development, and HR Start optimizing digital content in real time Implement advanced tools, processes, and algorithms for accurately measuring influence Make ... Unknown localization key: "more"

Objev podobné jako Digital Marketing Analytics - Chuck Hemann, Ken Burbary

Hands-On Prescriptive Analytics - Walter R. Paczkowski

With this practical guide, data analysts, data scientists, and business analysts will learn why and how maximizing positive consequences and minimizing negative ones requires three forms of rich information: Descriptive analytics explores the results from an action-what has already happened.

Objev podobné jako Hands-On Prescriptive Analytics - Walter R. Paczkowski

Augmented Analytics - Tobias Zwingmann, Will Weber

Augmented Analytics provides a dynamic, actionable strategy for improving your organization's analytical capabilities. With this book, you can infuse your workflows with intelligent automation and modern artificial intelligence, empowering more team members to make informed, data-driven decisions.

Objev podobné jako Augmented Analytics - Tobias Zwingmann, Will Weber

Marketing Analytics - Wayne L. Winston

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.

Objev podobné jako Marketing Analytics - Wayne L. Winston

Supply Chain Analytics and Modelling - Dr Nicoleta Tipi

Harness data within the supply chain using this accessible guide on how to examine, evaluate and apply business analytics models.

Objev podobné jako Supply Chain Analytics and Modelling - Dr Nicoleta Tipi