key business analytics bernard marr
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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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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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"
Objev podobné jako Machine Learning for Business Analytics - Galit Shmueli, Peter C. Bruce, Nitin R. Patel, Kuber R. Deokar
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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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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"
Objev podobné jako Machine Learning for Business Analytics - Peter Gedeck, Galit Shmueli, Peter C. Bruce, Nitin R. Patel, Inbal Yahav
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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Extended Reality in Practice - Bernard Marr
WINNER AT THE BUSINESS BOOK AWARDS 2022 - SPECIALIST BUSINESS BOOK CATEGORY. As one of the leading business trends today, extended reality (XR) promises to revolutionize the way consumers experience their encounters with brands and products of all kinds. Top brands from Pepsi and Uber to Boeing and the U.S. Army are creating immersive digital experiences that capture the interest and imaginations of their target markets. In Extended Reality in Practice: 100+ Amazing Ways Virtual, Augmented and Mixed Reality are Changing Business and Society, celebrated futurist, technologist, speaker, and author Bernard Marr delivers a robust and accessible explanation of how all kinds of firms are developing innovative XR solutions to business problems. You’ll discover the new ways that companies are harnessing virtual, augmented, and mixed reality to improve consumers’ perception of their brands. You’ll also find out why there are likely to be no industries that will remain untouched by the use of XR, and why these technologies are popular across the commercial, governmental, and non-profit spectrums. Perfect for Chief Executive Officers, business owners, leaders, managers, and professionals working in business development, Extended Reality in Practice will also earn a place in the libraries of professionals working within innovation teams ... Unknown localization key: "more"
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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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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.
Objev podobné jako Business Analytics, Cengage International Edition - Michael Frye, James Cochran, Jeffrey Camm, Jeffrey Ohlmann
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"
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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"
Objev podobné jako Leading with AI and Analytics: Build Your Data Science IQ to Drive Business Value - Eric Anderson, Florian Zettelmeyer
Generative AI in Practice - Bernard Marr
An indispensable look at the next frontier of technological advancement and its impact on our world Generative AI is rewriting the rulebook with its seemingly endless capabilities, from crafting intricate industrial designs, writing computer code, and producing mesmerizing synthetic voices to composing enchanting music and innovating genetic breakthroughs. In Generative AI in Practice, renowned futurist Bernard Marr offers readers a deep dive into the captivating universe of GenAI. This comprehensive guide introduces you to the basics of this groundbreaking technology and outlines the profound impact that GenAI will have on business and society. Professionals, technophiles, and anyone with an interest in the future will need to understand how GenAI is set to redefine jobs, revolutionize business, and question the foundations everything we do. In this book, Marr sheds light on the most innovative real-world GenAI applications through practical examples, describing how they are moulding industries like retail, healthcare, education, finance, and beyond. You'll enjoy a captivating discussion of innovations in media and entertainment, seismic shifts in advertising, and the future trajectory of GenAI. You will: Navigate the complex landscapes of risks and challenges posed by Generative AIDelve into the revolutionary transformation of the job market in the age of GenAIUnderstand ... Unknown localization key: "more"
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Key Performance Indicators (KPI) - Bernard Marr
Performance indicators are essential tools which will tell you if your business is on target or veering off course. Using the right indicators will help you deliver the right results. Key Performance Indicators cuts straight to the 75 + KPIs that matter. It explains what key performance indicators are, gives you short overviews of each metric and describes how to use the measure effectively. There are worked examples throughout which will equip you with the skills to understand, assess and interpret the most important aspects of any business. From net profit margin, to customer satisfaction through to brand equity, six sigma and employee engagement, the book gives you all the essential performance indicators. A practical guide to the most powerful financial and non-financial performance indicators vital for every business.
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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"
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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.
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The Future Internet - Bernard Marr
A sneak peek at the future of the internet, from one of the web’s most prescient voices In The Future Internet: How the Metaverse, Web3, and NFTs Will Transform Business & Society, acclaimed futurist, author, and digital strategist Bernard Marr delivers a compelling and engaging discussion of the technologies driving the impending—and ongoing—transformation of the internet, including blockchain, augmented reality (AR), and more. In the book, you’ll explore the risks and opportunities presented by these game-changing techs and how they might impact you, your organisation, and community. The author explains how various sectors will be revolutionised by the future internet, as industries like sports, retail, energy, healthcare, education, and others feel the effects of paradigm-shifting developments in society and technology. He also discusses: Strategies for individuals seeking to leverage the coming changes in technology, employment, and cultureThe potential impact of the unprecedented combination of blockchain and AR technologiesTechniques for getting in on the ground floor of a new internet that places a heavy premium on participation and immersive experiencesAn essential and incisive exploration of what our tomorrows might bring, The Future Internet is perfect for executives, managers, and other business leaders doing their best to get a head start on ... Unknown localization key: "more"
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Data Strategy - Bernard Marr
Execute a data strategy to improve your business decisions, build stronger products and gain a competitive advantage for your business.
Objev podobné jako Data Strategy - Bernard Marr
The Intelligence Revolution - Bernard Marr
Harness the transformative power of artificial intelligence and integrate it in your business strategy to deliver intelligent products, services and business processes that put you above the rest.
Objev podobné jako The Intelligence Revolution - Bernard Marr
AI Strategy - Bernard Marr
Understand the power of AI and use it to gain a competitive advantage for your business.
Objev podobné jako AI Strategy - Bernard Marr
Data-Driven HR - Bernard Marr
Use data, analytics and metrics to make better HR decisions for your business.
Objev podobné jako Data-Driven HR - Bernard Marr
Epee Dream Beams plyšová zvířátka 18 cm W4 Holub Bernard
Holub Bernard je plyšové zvířátko z řady Dream Beams W4 o výšce 18 cm. Je vyrobeno z příjemného materiálu a obsahuje speciální vlákna, která svítí ve tmě. Hračka je vhodná pro děti od 12 měsíců a slouží jako společník při hraní i usínání.
- Příjemný a měkký materiál na dotek
- Speciální vlákna zajišťují svítivost ve tmě
- Vhodné pro děti již od 12 měsíců
- Ideální společník pro hraní i usínání
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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.
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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.
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Key Business Solutions - Antonio Weiss
Containing an accessible problem-solving methodology and practical tools and techniques, this book is your essential guide to resolving modern business dilemmas, from ‘how do we increase our sales?’ to ‘how to we digitally transform our organisation?’
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Ethics in Business Decisions and Competitive Advantage - John E. Triantis
Business ethics is the set of practices and policies that companies use to guide them through decisions about finances, negotiations and deals, corporate social responsibility, and more. Without a strong set of ethics, a business can run afoul of the law and encounter financial pitfalls and moral dilemmas. The objective of this book is a practical, fair, balanced, and objective treatment of the role of ethics in the business performance of companies in competitive markets that demonstrates how ethics affects business culture, strategy, decision-making, and value creation, which then determine competitiveness and business viability. The universality of corruption and the prevalence of unethical conduct is the background from which the narrative describes how ethical issues enter all functional areas. The ethicsÂ’ effects on the complexity of decisions and challenges are examined and the questions of why bother with ethical business and whether businesses invite government regulation are answered. Next, a framework is developed to identify and trace links and influences of business ethics on strategic decisions, corporate culture, and decision-making. The effects of strategy and culture on key business success factors and their interdependence are reviewed along with those with competitive advantage elements. These assessments then form the basis of ... Unknown localization key: "more"
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Testing Business Ideas - Alexander Osterwalder, Bland David J.
A practical guide to effective business model testing 7 out of 10 new products fail to deliver on expectations. Testing Business Ideas aims to reverse that statistic. In the tradition of Alex Osterwalder’s global bestseller Business Model Generation, this practical guide contains a library of hands-on techniques for rapidly testing new business ideas. Testing Business Ideas explains how systematically testing business ideas dramatically reduces the risk and increases the likelihood of success for any new venture or business project. It builds on the internationally popular Business Model Canvas and Value Proposition Canvas by integrating Assumptions Mapping and other powerful lean startup-style experiments. Testing Business Ideas uses an engaging 4-color format to: Increase the success of any venture and decrease the risk of wasting time, money, and resources on bad ideasClose the knowledge gap between strategy and experimentation/validationIdentify and test your key business assumptions with the Business Model Canvas and Value Proposition Canvas A definitive field guide to business model testing, this book features practical tips for making major decisions that are not based on intuition and guesses. Testing Business Ideas shows leaders how to encourage an experimentation mindset within their organization and make experimentation a continuous, repeatable process.Â
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What They Don't Teach You At Harvard Business School - Mark H. McCormack
Mark McCormack, dubbed ''the most powerful man in sport'', founded IMG (International Management Group) on a handshake. It was the first and is the most successful sports management company in the world, becoming a multi-million dollar, worldwide corporation whose activities in the business and marketing spheres are so diverse as to defy classification. Here, Mark McCormack reveals the secret of his success to key business issues such as analysing yourself and others, sales, negotiation, time management, decision-making and communication. What They Don''t Teach You at Harvard Business School fills the gaps between a business school education and the street knowledge that comes from the day-to-day experience of running a business and managing people. It shares the business skills, techniques and wisdom gleaned from twenty-five years of experience.
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My Revision Notes: WJEC and Eduqas GCSE Business - David Salter
Target success in WJEC and Eduqas GCSE Business with this proven formula for effective, structured revision; key content coverage is combined with exam-style tasks and practical tips to create a revision guide that students can rely on to review, strengthen and test their knowledge.With My Revision Notes every student can:- Plan and manage a successful revision programme using the topic-by-topic planner- Consolidate their knowledge by working through clear and focused coverage of the WJEC and Eduqas GCSE Business specifications- Test understanding and identify areas for improvement with regular ''Check your understanding'' activities and answers- Improve exam technique through practice questions, expert tips and examples of typical mistakes to avoid- Revise, remember and accurately use key business terms with definitions alongside the text for quick and easy referenceThis revision guide covers the content of:- 2017 WJEC GCSE (A*-G) Business specification regulated by Qualifications Wales- 2017 WJEC Eduqas GCSE (9-1) Business specification regulated by Ofqual
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101 Things I wish I had Known Before Starting My Business - Perry Burns
Perry Burns is a serial entrepreneur. He learned the fundamentals ofdoing business selling cash registers door-to-door, graduating to sellingcomputers and software for the retail industry. In a varied career, he hasworked in technology, finance, professional services and electric motorbikes. He was promoted to his first board position in 1985 and developed a deep understandingof key business success drivers, including the importance of vision, leadershipand finance. He prioritizes self-motivation, strategy, teamwork, communication,and advanced sales and marketing techniques and is keenly interested in howbusinesses can leverage AI and SEO to optimise business performance andsuccess. Widely acknowledged for his broad understanding of business processes,he has served on the boards of major industry bodies, including UK Finance andthe Motorcycle Industry Association. He resides in London with his wife,enjoying time with his grandchildren and playing pickleball.
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The Business Student's Phrase Book - Jeanne Godfrey
This compact phrase book of key business terminology is an invaluable resource for students who want to communicate their ideas, arguments and analyses with greater clarity and precision. Divided into 30 bite-size sections, users can quickly and easily find the topic they need when preparing and writing essays, reports and case studies. Each section contains three parts: words in action, taken from real academic writing; information to help you readers use these words correctly; and ‘nearly but not quite right’ examples from real students’ work. This is an essential companion for students studying both undergraduate and postgraduate courses in business and management, and is suitable for use at any stage of their studies. It is also ideal for those studying related disciplines, including business management, administration, HR, finance, systems analysis, project management, business law and corporate governance.
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Data Science for Business With R - Jeffrey Morgan Stanton, Jeffrey S. Saltz
Data Science for Business with R, written by Jeffrey S. Saltz and Jeffrey M. Stanton, focuses on the concepts foundational for students starting a business analytics or data science degree program. To keep the book practical and applied, the authors feature a running case using a global airline business’s customer survey dataset to illustrate how to turn data in business decisions, in addition to numerous examples throughout. To aid in usability beyond the classroom, the text features full integration of freely-available R and RStudio software, one of the most popular data science tools available. Designed for students with little to no experience in related areas like computer science, the book chapters follow a logical order from introduction and installation of R and RStudio, working with data architecture, undertaking data collection, performing data analysis, and transitioning to data archiving and presentation. Each chapter follows a familiar structure, starting with learning objectives and background, following the basic steps of functions alongside simple examples, applying these functions to the case study, and ending with chapter challenge questions, sources, and a list of R functions so students know what to expect in each step of their data science course. Data Science for Business with ... Unknown localization key: "more"
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My Revision Notes: Pearson Edexcel GCSE (9-1) Business - Andrew Hammond
Target success in Edexcel GCSE (9-1) Business with this proven formula for effective, structured revision; key content coverage is combined with exam-style tasks and practical tips to create a revision guide that students can rely on to review, strengthen and test their knowledge.With My Revision Notes every student can:- Plan and manage a successful revision programme using the topic-by-topic planner- Consolidate their knowledge by working through clear and focused coverage of the Edexcel GCSE Business specification- Test understanding and identify areas for improvement with regular ''Now test yourself'' activities and answers- Improve exam technique through practice questions, expert tips and examples of typical mistakes to avoid- Revise, remember and accurately use key business terms with definitions alongside the text for quick and easy reference
Objev podobné jako My Revision Notes: Pearson Edexcel GCSE (9-1) Business - Andrew Hammond
Business objectives international edition workbook (978-0-945782-7-1)
Kniha - autor V. Hollett, 80 stran, česky, brožovaná bez přebalu lesklá Global contexts and student-centered approach invite learners to apply their own business experience, while authentic listening and reading reinforce key business skills in areas such as telephoning, meetings and socializing.
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CCEA GCSE Business Studies, Third Edition - Hope Kerr
Exam Board: CCEALevel: GCSESubject: BusinessFirst Teaching: September 2017First Exam: June 2019This title has been endorsed for use with the CCEA GCSE Business Studies specificationInspire student success with Hope Kerr''s market-leading Student Book; fully revised for the 2017 specification, it supports and engages learners through up-to-date content coverage and case studies relevant to local, national and global contexts.- Helps students learn and apply key business concepts and theories by providing clear explanations, accompanied by diagrams and photos that aid understanding- Enables students to consolidate their knowledge as they work through a range of activities for each topic- Increases interest and engagement by including contemporary case studies with a particular focus on Northern Ireland businesses and contexts- Prepares students for the new examinations with practice questions, guidance on how to answer different question types and an overview of the assessment objectives and command words- Allows students to track their progress and target their revision using the end-of-chapter checklists
Objev podobné jako CCEA GCSE Business Studies, Third Edition - Hope Kerr
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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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.
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The Business of Analytics - Jamey M. Long, Joseph A. Pisani
This comprehensive textbook explores the fundamental intersection of business principles and analytical methodologies.This essential resource prepares future business leaders to champion statistical literacy in the workplace, transforming organizational culture through evidence-based practices and analytical thinking.
Objev podobné jako The Business of Analytics - Jamey M. Long, Joseph A. Pisani
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"
Objev podobné jako Decision-Driven Analytics - Bart De Langhe, Stefano Puntoni
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.
Objev podobné jako Sports Analytics - Allistair McRobert, Peter O'Donoghue, Giles Oatley, Ambikesh Jayal
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"
Objev podobné jako A General Introduction to Data Analytics - Tomáš Horváth, Andre Carvalho, Joao Moreira
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"
Objev podobné jako Data and Analytics for Instructional Designers - Megan Torrance
Marr's Guitars - Johnny Marr
'A great book … fascinating' Jools Holland, Later With Jools Holland, BBC2 'If you are even remotely interested in guitars or the geniuses that play them you have to get a copy of Marr’s Guitars. A lush, mouthwatering masterpiece of a book' Shaun Keaveny 'What a love story this book is. The electric guitar - the greatest weapon ever given to the working class' Gary Kemp 'Guitars have been the obsession of my life ... they’ve been a mission and sometimes a lifeline' Johnny Marr The guitarist’s guitarist, Johnny Marr redefined music for a generation. His ringing arpeggios and chordal innovations helped elevate The Smiths to be one of the most influential and important British bands of all time. Tracing Marr's career from his teenage years to his recent work on the Bond soundtrack, Marr’s Guitars showcases the most significant of Marr’s superb collection of electric and acoustic guitars, revealing through them the evolution of his iconic sound and style of playing. Each guitar is identified with a crucial moment, a specific song or a particular sound, and each embodies a key aspect of Marr’s lifelong passion. Renowned photographer Pat Graham presents each instrument as a full portrait, supported by ... Unknown localization key: "more"
Objev podobné jako Marr's Guitars - Johnny Marr
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.
Objev podobné jako The Practical Guide to HR Analytics - Lindsay McFarlane, Valerie Streets, Shonna D. Waters PhD, Rachael Johnson-Murra
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.
Objev podobné jako Practical Data Analytics for Innovation in Medicine - Thomas Cahill, Robert Nisbet, Gary D. Miner, Scott Burk, Nephi Walton, Mitchell Goldstein, L
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.
Objev podobné jako Digital Analytics for Marketing - A. Karim Feroz, Marshall Sponder, Gohar F. Khan
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"
Objev podobné jako Data Analytics Applications in Gaming and Entertainment
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
Objev podobné jako Lean Analytics - Alistair Croll, Benjamin Yoskovitz
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.
Objev podobné jako Data Analytics for Smart Infrastructure - Bin Liang, Zhidong Li, Yang Wang, Ting Guo, Hongda Tian, Fang Chen
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.
Objev podobné jako Google Analytics (978-80-271-0338-6)
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
Objev podobné jako People Analytics For Dummies - Mike West