data analytics for business wolfgang garn

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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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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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 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.

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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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Data Science for Business - Foster Provost

This broad, deep, but not-too-technical guide introduces you to the fundamental principles of data science and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect.

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Business Statistics Using Excel - R. Panneerselvam

This book gives readers a hands-on understanding of Excel-assisted statistical techniques to take effective business decisions. It showcases applications of the tools and techniques of statistics for analysing business data from the domain of business statistics.The volume provides an exhaustive introduction to the application of statistics in solving business problems and implementing data analytics for effective decision making in all kinds of business situations around the world. With an emphasis on simplicity in presentation of concepts of statistical methods and associated Excel functions, the volume explores the implementation of Excel functions through well-defined sequences of steps. It covers an array of key topics which includeDiscussions on real-world problems, decision support systems, scope of business statistics, types, and steps of research;Introduction to Excel and its mathematical and preliminary statistical functions; usage of different types of average functions; mean, median, and mode functions; measures of variation; measures of skewness of Excel;In-depth discussions on probability distributions, sampling distributions, testing of hypothesis, chi-square test, non-parametric tests of Excel;Extensive coverage on correlation and covariance, forecasting, analysis of variance, charts in Excel; andAnalysis of the concept of linear programming, problem formulations, and techniques of linear programming, followed by the application in Excel.Comprehensive in scope and simple ... 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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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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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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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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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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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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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 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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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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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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Statistical Analytics for Health Data Science with SAS and R Set - Jeffrey Wilson, Ding-Geng Chen, Karl E. Peace

Statistical Analytics for Health Data Science with SAS and R Set compiles fundamental statistical principles with advanced analytical techniques and covers a wide range of statistical methodologies. With an emphasis on real-world applications, it integrates publicly available health datasets and provides case studies.

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Analysing Quantitative Data for Business and Management Students - Charles A Scherbaum, Kristen M. Shockley

In Analysing Quantitative Data, Charles A. Scherbaum and Kristen M. Shockley guide the reader through Understanding Quantitative Data Analysis, Basic Components of Quantitative Data Analysis, Conducting Quantitative Data Analysis, Examples of Quantitative Data Analysis and Conclusions. An appendix contains Excel Formulas. Ideal for Business and Management students reading for a Master’s degree, each book in the series may also serve as reference books for doctoral students and faculty members interested in the method. Part of SAGE’s Mastering Business Research Methods Series, conceived and edited by Bill Lee, Mark N. K. Saunders and Vadake K. Narayanan and designed to support researchers by providing in-depth and practical guidance on using a chosen method of data collection or analysis.

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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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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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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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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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HBR's 10 Must Reads on Data Strategy - Satya Nadella, Harvard Business Review, Tsedal Neeley, Thomas H. Davenport, Marco Iansiti

Your data is your business. Is it supporting your strategy?Algorithms, machine learning, generative AI. With the latest advancements in technology, data is taking center stage in organizations. But without a clear plan for how you''re storing, integrating, and gaining value from that information, your company will be at risk—and fall behind.If you read nothing else on setting a data strategy in your organization, read these 10 articles. We''ve combed through hundreds of Harvard Business Review articles and selected the most important ones to help you improve your analytic and algorithmic capabilities, navigate digital transformation, and achieve competitive advantage in our hyperconnected world.This book will inspire you to:Quantify the benefits of a digital transformationDiscover opportunities for innovative, data-backed products and servicesBetter understand and improve your customer experienceBreak down silos and share higher-quality information across your organizationIdentify areas susceptible to cyberattacks and data breachesEnsure metrics aren’t overshadowing strategic objectivesHBR''s 10 Must Reads paperback series is the definitive collection of books for new and experienced leaders alike. Leaders looking for the inspiration that big ideas provide, both to accelerate their own growth and that of their companies, should look no further. HBR''s 10 Must Reads series focuses on the core topics that every ... Unknown localization key: "more"

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Business Analysis For Dummies - Alison Cox

Build a successful career in business analysis When it comes to doing good business, change is a very good thing. And effective business analysts are at the heart of identifying opportunities for growth and implementing the solutions that can transform an organization’s foundation—and ultimately increase its profitability. Whether you’re an aspiring business analysis professional or a seasoned analyst looking for the latest techniques and approaches, Business Analysis For Dummies helps you discover the newest tips and tricks for turning knowledge into the changes that have a real and meaningful impact on business and drive your organization towards value delivery.  Identify areas for growth and create solutions Learn how to bring people together to collaborate effectively Discover ways to better understand and serve your customers  See how business analysis works in the real world   Learn the technology to make the job easier  Find business solutions to improve your organization’s performance  Understand how to dig deeply into your organization’s data, processes, and business rules Dummies makes the path to business success clear. Start here to turn your love of business analysis into the catalyst that makes a difference. Â

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AI in Business For Dummies - Jeffrey Allan

Create an AI strategy that best fits your business You've heard about how artificial intelligence will revolutionize business, but maybe you're not sure how it will revolutionize your business. In AI in Business For Dummies, AI researcher and consultant Jeffrey Allan delivers clear insight into the capabilities of AI, the AI tools that get the job done, and how to best put artificial intelligence to work in your company. Using the book's step-by-step instructions, you'll learn how to build the latest AI tech in your business strategies. You'll also discover real-world examples of effective AI implementations in tasks like workflow automation, closing sales, handling data analytics, and driving innovation. The book also dives into ideas on how to get your staff and colleagues on board as well as how to use AI in an ethical manner. AI in Business For Dummies also includes: A breakdown of the essentials of AI technology and how each intersects with business useWays to avoid common business AI mistakes and pitfallsTips on future-proofing your AI investment Perfect for managers, executives, entrepreneurs, founders, and other business leaders, AI in Business For Dummies is a must-read resource for anyone with an interest in taking advantage of the ... Unknown localization key: "more"

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Economics for Business - Dean Garratt, Jon Guest, John Sloman, Elizabeth Jones

Develop an understanding of economics applied to the world of business. Economics for Business, 9th Edition is the ideal textbook for students studying Economics as part of a Business Studies degree or diploma. Clear, engaging, and packed with useful features, the text introduces the key principles of economics, illustrating how they can be used to understand real business problems and aspects of the business environment. The new, thoroughly updated edition reflects recent events that have shaken the business world. These include the Covid-19 pandemic, Brexit, and rampant inflation caused first by supply-chain problems after global lockdowns and then by the surge in energy and food prices following the invasion of Ukraine. Each chapter includes topical examples, news stories, and case studies from real businesses to explain and illustrate key economic concepts, as well as activities, questions, and useful summaries to help you check your understanding. Access the free student website which accompanies this book for additional learning support, including animated explainers of key economic models, extra case studies and answers to in-text questions. Pair this text with MyLab®Economics MyLab® is the teaching and learning platform that empowers you to reach every student. By combining trusted author content with digital tools ... Unknown localization key: "more"

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Instagram For Business For Dummies - Corey Walker, Eric Butow

Become an Instagram aficionado and grow your business online Instagram For Business For Dummies shows you how you can tap into the social media platform with over 1 billion active users and the highest brand engagement of any social app out there. Businesses of all sizes have discovered how successful they can be when they take advantage of Instagram's powerful business tools—including shoppable posts, devoted business profiles, and advanced analytics. This beginner-friendly book helps you take advantage of this great opportunity to connect with a broader audience, tell a gripping story, and make your business an integral part of customers' lives. This new edition covers all of Instagram's latest features, including verified accounts, Broadcast Channels, and integration with Threads. You'll also learn everything you need to know about establishing brand partnerships with influencers, making the most of hashtags, and creating content that will get you noticed. Presented in straightforward language by Instagram and marketing gurus, this book will take you from setting up your account and profile to winning new business on Instagram. Set up your Instagram business account and link your sales to the Instagram Shopping featureUse analytics to understand your engagement and create better contentLearn how to effectively ... Unknown localization key: "more"

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Mind Maps for Business - Tony Buzan, Chris Griffiths

Tony Buzan knows more than a little about Mind Maps – after all, he did invent them! Often referred to as the ‘the Swiss-army knife for the brain’, Mind Maps are a ground-breaking, note-taking and mind-organising technique that has already revolutionised the lives of many millions of people around the world and taken the educational world by storm. Now Tony Buzan is sharing the powerful techniques of mind mapping with the business world to help business professionals everywhere revolutionise the way they think and practise. Mind Maps for Business is the very first and only book on mind mapping that has been written by Tony Buzan specifically for a business audience. No matter how big or small the business you work in; no matter if you’re an employer or an employee; no matter what your role is, you’ll find the benefits of using mind maps to help you think, organise, plan and control are vast: Accelerate your productivity to levels you never thought possible. Generate exciting new possibilities for growth and expansion. Make meetings, discussions and forums really productive and useful. Negotiate, talk and consult more constructively and effectively. Be more focussed, more organised and much smarter. Unleash your amazing ... Unknown localization key: "more"

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The Activist Leader: A New Mindset for Doing Business - Jon Miller, Lucy Parker

If you want to be a successful leader in today’s business world, you need to think like an activist. If you want to be a successful leader in today’s business world, you need to think like an activist. This urgent and essential book shows how to do just that. The Activist Leader argues that the world needs a new kind of business leader, one that thinks differently about their role in today’s challenges. From climate change to inequality, the major crises facing society have become critical issues for business, and the world expects companies to step up. This is a pragmatic book. Jon Miller and Lucy Parker show what it takes to do business in these challenging times, taking a close look at companies such as Apple, Mastercard, Nestle, Maersk, JP Morgan Chase and Walmart. Most people feel powerless when they look at the problems facing the world – but if you’re a leader in a big business, you’re not powerless. Whether you’re a top executive or earlier in your working life, this book shows that thinking like an activist can have a transformative impact – for yourself, for your businesses, and for broader society.

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BiSL Next - A Framework for Business Information Management

This book describes the framework of the next generation of Business Information Services Library, BiSL®. BiSL Next is a public domain standard for business information management with guiding principles, good practices and practical templates. It offers guidance for digitally engaged business leaders and those who collaborate with them, with the ultimate goal to improve business performance through better use of information and technology.Twelve elements - four drivers, four domains and four perspectives - are the basis of the guidance in BiSL Next. Target audience of this book are business managers, business information managers, business analysts, CIO’s and IT managers, as well as consultants in this field.While describing the twelve elements, the book offers them insight in the best way to manage, execute and profit from business information management in their enterprise. The book is also the official literature for the BiSL® Next Foundation exam.

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Statistics for Economics, Accounting and Business Studies - C. Rashaad Shabab, Michael Barrow

A reader-friendly introduction to the exciting world of statistics for the analysts, business leaders and policymakers of tomorrow. "Barrow and Shabab''s Statistics for Economics, Accounting and Business Studies textbook has an excellent mix of application, intuition and statistical theory that is suitable for students with and without prior knowledge in statistics." Dr Robert Riegler, Senior Lecturer in Economics, Aston University Statistics for Economics, Accounting, and Business Studies,8th edition by Michael Barrow and C. Rashaad Shabab, is a user-friendly introduction to the subject, aimed at students studying economics, accountancy, finance, and business. This comprehensive text applies a wide variety of statistical tools and techniques to real-world situations, with numerous examples and exercises integrated throughout to help you build up your knowledge and skills. Easy to follow and without requiring any prior knowledge of Statistics, this book will guide you through the essential principles of the field and provide a thorough analysis of statistical concepts and methods. Key features in this new edition include: A new chapter on Data Visualisation, reflecting the growing importance of this topic Application of statistics to issues of contemporary interest, such as the impact of global events like Covid-19, development economics, tourism, education and working hours A ... Unknown localization key: "more"

Objev podobné jako Statistics for Economics, Accounting and Business Studies - C. Rashaad Shabab, Michael Barrow

Essential Economics for Business - John Sloman, Elizabeth Jones

Essential Economics for Business offers students a concise, accessible and engaging introduction to the key principles of micro and macroeconomics, in addition to broader business-related topics, including business organisation and strategy. Numerous cases and examples throughout the text illustrate how economics can be used to understand specific business problems or aspects of the business environment, from economic growth, to levels of business investment, interest rates, employment issues, the prices firms charge, the rise of online shopping and Brexit. This is the ideal text for students taking a module including economics on any business or management degree or diploma course.

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Essential Maths Skills for AS/A Level Business - Charlotte Wright, Mike Pickerden

"The worked examples and guided questions are invaluable, and are a particular strength of this text, as they help to prepare the students to tackle the practice questions. Having exam-style questions (at the end) is another very good feature of this book. All of the examples and questions use appropriate and relevant business-related scenarios... I am confident that this book will achieve the aim of helping A/AS Business students develop their maths skills and enhance their understanding of the subject." Michaela Cottee, Principal Lecturer in Statistics, Hertfordshire Business School. If you struggle with calculating profit or working out unit costs, this is the book for you. This textbook companion will help improve your essential maths skills for business, whichever awarding body specification you''re following. You can use it throughout your course, whenever you feel you need some extra help.- Develop your understanding of both maths and business with all worked examples and questions within a business context- Improve your confidence with a step-by-step approach to every maths skill- Measure your progress with guided and non-guided questions to see how you''re improving- Understand where you''re going wrong with full worked solutions to every question - Feel confident in expert guidance from ... Unknown localization key: "more"

Objev podobné jako Essential Maths Skills for AS/A Level Business - Charlotte Wright, Mike Pickerden

English for Business Communication - Mable Chan

This textbook provides a comprehensive introduction for students and professionals who are studying English for business or workplace communication and covers both spoken and written English.  Based on up-to-date research in business communication and incorporating an international range of real-world authentic texts, this book deals with the realities of communication in business today. Key features of this book include:use of English in social media that reflects recent trends in business communication;coverage of the concept of communicative competence;analysis of email communication;introduction to informal English and English for socialisation as well as goodwill messages, such as thank you or appreciation messages, which are a part of everyday interaction in the workplace; examination of persuasive messages and ways to understand such messages;an e-resources website that includes authentic examples of different workplace genres and a reference section covering relevant research studies and weblinks for readers to better understand the topics covered in each chapter.This book goes beyond the traditional coverage of business English to provide a broad and practical textbook for those studying English in a workplace setting.

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Economics for Business - Chris Mulhearn, Howard R. Vane

Written specifically for non-specialists, this textbook provides a rigorous and engaging introduction to economics in the context of the business world. Striking the perfect balance between theory and practical application, it draws on interesting real-world examples and case studies – from tech companies to football clubs – to demonstrate the relevance of key economic concepts and theories to business. Clear and insightful, it is packed with current data and innovative features to bring the subject to life for students. This edition is thoroughly updated to include coverage of topics such as market failure, austerity, international trade and Brexit.The ideal textbook for undergraduate students studying economics on business and management degrees and for use on MBA courses.New to this Edition:- Up-to-date coverage of important topics- A new appendix on the Aggregate Demand-Aggregate Supply (AD-AS) model in Chapter 9- A wealth of new case studies and examples, for example, on US trade policy, the challenges involved in the UK leaving the EU, and the money supply in IndiaAccompanying online resources for this title can be found at bloomsburyonlineresources.com/economics-for-business-4e. These resources are designed to support teaching and learning when using this textbook and are available at no extra cost.

Objev podobné jako Economics for Business - Chris Mulhearn, Howard R. Vane

Using Excel for Business and Financial Modelling - Danielle Stein Fairhurst

A hands-on guide to using Excel in the business context First published in 2012, Using Excel for Business and Financial Modelling contains step-by-step instructions of how to solve common business problems using financial models, including downloadable Excel templates, a list of shortcuts and tons of practical tips and techniques you can apply straight away. Whilst there are many hundreds of tools, features and functions in Excel, this book focuses on the topics most relevant to finance professionals. It covers these features in detail from a practical perspective, but also puts them in context by applying them to practical examples in the real world. Learn to create financial models to help make business decisions whilst applying modelling best practice methodology, tools and techniques. • Provides the perfect mix of practice and theory • Helps you become a DIY Excel modelling specialist • Includes updates for Excel 2019/365 and Excel for Mac • May be used as an accompaniment to the author’s online and face-to-face training courses Many people are often overwhelmed by the hundreds of tools in Excel, and this book gives clarity to the ones you need to know in order to perform your job more efficiently. This book also ... Unknown localization key: "more"

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Logitech Lift Vertical Ergonomic Mouse for Business, Pink

Lift Vertical Ergonomic Mouse for Business SCIENTIFIC APPROACH - The science of ergonomics is an integral part of our designers’ and engineers’ process of creating a new mouse. Ergo Series mice offer more natural postures, superior ergonomic benefits, and reduced movement or muscle strain and striking form factors. MORE NATURAL POSTURE - Ergo products like Lift for Business place fingers and hands in a more natural posture, helping to relax the upper body. This leads to a quantifiable reduction in muscle activity, so work is more productive with less strain and forearm muscle fatigue. INCREASED COMFORT - Reducing muscle strain and fatigue, while adding proper hand support, leads to a greater comfort, especially during long periods or work. Ergonomically-designed products help people focus on what matters. ERGONOMICS IS ECONOMICS - Ergonomic equipment helps people work more comfortably, with higher efficiency and quality, with less downtime. It results in happier employees with lower absentee days. In short, ergonomics is good economics. Our Ergo Series can help your company become a healthier place to work. TECHNICAL SPECIFICATIONS Dimensions (H x W x D) Lift for Business: 71 x 70 x 108 mmLogi Bolt USB Receiver: 18.4 x 14.4 x 6.6 mm Weight ... Unknown localization key: "more"

Objev podobné jako Logitech Lift Vertical Ergonomic Mouse for Business, Pink

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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Microsoft Excel Data Analysis and Business Modeling (Office 2021 and Microsoft 365) - Wayne Winston

Master business modeling and analysis techniques with Microsoft Excel and transform data into bottom-line results. Award-winning educator Wayne Winston''s hands-on, scenario-focused guide helps you use today''s Excel to ask the right questions and get accurate, actionable answers. More extensively updated than any previous edition, new coverage ranges from one-click data analysis to STOCKHISTORY, dynamic arrays to Power Query, and includes six new chapters. Practice with over 900 problems, many based on real challenges faced by working analysts. Solve real problems with Microsoft Excel—and build your competitive advantage Quickly transition from Excel basics to sophisticated analytics Use recent Power Query enhancements to connect, combine, and transform data sources more effectively Use the LAMBDA and LAMBDA helper functions to create Custom Functions without VBA Use New Data Types to import data including stock prices, weather, information on geographic areas, universities, movies, and music Build more sophisticated and compelling charts Use the new XLOOKUP function to revolutionize your lookup formulas Master new Dynamic Array formulas that allow you to sort and filter data with formulas and find all UNIQUE entries Illuminate insights from geographic and temporal data with 3D Maps Improve decision-making with probability, Bayes'' theorem, and Monte Carlo simulation and scenarios Use ... Unknown localization key: "more"

Objev podobné jako Microsoft Excel Data Analysis and Business Modeling (Office 2021 and Microsoft 365) - Wayne Winston

Beginning Power BI for Business Users - Paul D. Fuller

Discover the utility of your organization’s data with Microsoft Power BI In Beginning Power BI for Business Users: Learning to Turn Data into Insights, accomplished data professional and business intelligence expert Paul Fuller delivers an intuitive and accessible handbook for professionals seeking to use Microsoft’s Power BI to access, analyze, understand, report, and act on the data available to their organizations. In the book, you’ll discover Power BI’s robust feature set, learn to ingest and model data, visualize and report on that data, and even use the DAX scripting language to unlock still more utility from Microsoft’s popular program. Beginning with general principles geared to readers with no or little experience with reporting or data analytics tools, the author walks you through how to manipulate common, publicly available data sources—including Excel files and relational databases. You’ll also learn to: Use the included and tested sample code to work through the helpful examples included by the authorConduct data orchestration and visualization to better understand and gain insights from your data An essential resource for business analysts and Excel power users reaching the limits of that program’s capabilities, Beginning Power BI for Business Users will also benefit data analysts who seek to ... Unknown localization key: "more"

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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

Understanding Research for Business Students - Wilson Jonathan

Are you conducting business research for the first time and aren′t sure where to begin? This book gives you everything you need to successfully complete your research project.  From choosing a direction for your research and considering ethics to data collection and presenting your results, it offers straightforward guidance on every step of the research process. Covering topics such as social media research, group working and how to research your own organisation, it provides a thorough view of research for business and management students.  The book: Enables you visualise how each stage of research links to the next, and makes sure you don′t miss a step with a handy ′Research Project Wheel′ Empowers you to increase your employability and develop transferable skills, such as proposal writing and data analysis Provides student research examples that show common challenges you might face - and how to address them. Key features include research snapshots, offering short how-to examples for doing real research, and concept cartoons, which put forward different views about research so you can broaden your knowledge. It also has end-of-chapter questions, online multiple choice questions and Kahoot! questions so you can test your understanding. Guiding you through working with ... Unknown localization key: "more"

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AQA Business for A Level (Marcouse) - Andrew Hammond, Nigel Watson, Ian Marcouse

Exam Board: AQALevel: AS/A-levelSubject: BusinessFirst Teaching: September 2015First Exam: June 2016Ian Marcousé has been trusted by Business students for over 15 years and his updated textbook has been fully revised to reflect the 2015 AQA Business specification, giving you up-to-date material that supports your teaching and student''s learning.- Guides students through the content in an easy to understand way, with the new ''logic chain'' feature at the start of every chapter showing them the progression clearly- Helps students apply their knowledge and analyse business data with real business examples throughout- Consolidates students'' learning and prepares them for assessment with the workbook feature at the end of every chapter containing knowledge check and practice questions

Objev podobné jako AQA Business for A Level (Marcouse) - Andrew Hammond, Nigel Watson, Ian Marcouse

Schaum's Outline of Calculus for Business, Economics and Finance, Fourth Edition - Luis Moises Pena-Levano

The most useful tool for reviewing mathematical methods for economics classes—now with more contentSchaum’s Outline of Calculus for Business, Economics and Finance, Fourth Edition is the go-to study guide for help in economics courses, mirroring the courses in scope and sequence to help you understand basic concepts and get extra practice in topics like multivariable functions, exponential and logarithmic functions, and more. With an outline format that facilitates quick and easy review, Schaum’s Outline of Calculus for Business, Economics and Finance, Fourth Edition supports the major bestselling textbooks in economics courses and is useful for a variety of classes, including Introduction to Economics, Economics, Econometrics, Microeconomics, Macroeconomics, Economics Theories, Mathematical Economics, Math for Economists and Math for Social Sciences. Chapters include Economic Applications of Graphs and Equations, The Derivative and the Rules of Differentiation, Calculus of Multivariable Functions, Exponential and Logarithmic Functions in Economics, Special Determinants and Matrices and Their Use in Economics, First-Order Differential Equations, and more.Features:NEW in this edition: Additional problems at the end of each chapterNEW in this edition: An additional chapter on sequences and seriesNEW in this edition: Two computer applications of Linear Programming in Excel710 fully solved problemsOutline format to provide a concise guide for ... Unknown localization key: "more"

Objev podobné jako Schaum's Outline of Calculus for Business, Economics and Finance, Fourth Edition - Luis Moises Pena-Levano

Statistics for Business & Economics, Global Edition - James T. McClave, Terry Sincich, P. Benson

Thistitle is a Pearson Global Edition. The Editorial team at Pearson has workedclosely with educators around the world to include content which is especiallyrelevant to students outside the United States. For courses in Introductory Business Statistics. Real data. Real decisions. Real business. Statistics for Business and Economics byMcClave, Benson, and Sincich introduces statistics in the context ofcontemporary business. Inference isemphasized, with extensive coverage of data collection and analysisas needed to evaluate the reported results of statistical studies and make gooddecisions. The authors apply concepts with realdata. Technology is used to help students develop statisticalthinking and understand the assessment of credibilityand the value of the inferences made from data — both bythose who consume and by those who produce them. The 14thEdition continues to highlight the discussion of ethical, datadriven decision making.

Objev podobné jako Statistics for Business & Economics, Global Edition - James T. McClave, Terry Sincich, P. Benson

Calculus for Business and Economics - Jon Pierre Fortney, Linda Smail

Calculus for Business and Economics: An Example-Based Introduction is designed for first-year university students specializing in business and economics. This book is crafted in a clear, easy-to-read style, covering all the essential calculus-related topics that students are likely to encounter in their studies. With real-world business and economics applications seamlessly integrated around the core calculus concepts, students will find the book of real practical value throughout their time in university and beyond. FeaturesThree hundred easy-to-follow examples throughout, carefully crafted to illustrate the concepts and ideas discussed.Numerous exercises to practice, with solutions available online to help you learn at your own pace.Each chapter concludes with a section showcasing the real-world business and economics applications of the discussed mathematical concepts.

Objev podobné jako Calculus for Business and Economics - Jon Pierre Fortney, Linda Smail

Qualitative Research Methods for Business Students - Harrison Christian, Kingsley Obi Omeihe

Qualitative Research Methods for Business Students: A Global Approach provides a practical and accessible overview of qualitative research methods and their philosophical underpinnings. The textbook will empower you with the knowledge and skills needed to navigate the dynamic landscape of qualitative research.  Key features include: Case Studies which showcase how qualitative research has been instrumental in shaping business decisions and strategies. Exercises and Activities that give you the opportunity to apply your learning. Suitable for undergraduate and postgraduate students interested in using qualitative methods in their research project or dissertation. Dr Kingsley O. Omeihe is an Associate Professor for Marketing and Small Business at the University of the West of Scotland Prof Christian Harrison is a Professor of Leadership and Enterprise at the University of Bolton.

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Research Methods For Business - Roger Bougie, Uma Sekaran

Research Methods For Business, 8th Edition explains the principles and practices of using a systematic, organized method for solving problematic issues in business organizations. Designed to help students view research from the perspective of management, this popular textbook guides students through the entire business research process. Organized into six main themes—Introduction, Defining the Management and the Research Problem, Theory, Collecting Information, Drawing Conclusions, and Writing and Presenting the Research Report—the text enables students to develop the skills and knowledge required to successfully create, conduct, and analyze a research project. Now in its eighth edition, this popular textbook has been thoroughly updated to incorporate substantial new and expanded content, and reflect current research methods and practices. The text uses a unique blended learning approach, allowing instructors the flexibility to custom-tailor their courses to fit their specific needs. This innovative approach combines the face-to-face classroom methods of the instructor with internet-based activities that enable students to study what they want, when they want, at their own pace.

Objev podobné jako Research Methods For Business - Roger Bougie, Uma Sekaran