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business analytics evans: Business Analytics, Global Edition James R. Evans, 2016-01-29 A balanced and holistic approach to business analytics 'Business Analytics', teaches the fundamental concepts of the emerging field of business analytics and provides vital tools in understanding how data analysis works in today's organizations. Students will learn to apply basic business analytics principles, communicate with analytics professionals, and effectively use and interpret analytic models to make better business decisions. |
business analytics evans: Business Analytics James Evans, 2016 For undergraduate or graduate business students. A balanced and holistic approach to business analytics Business Analytics, Second Edition teaches the fundamental concepts of the emerging field of business analytics and provides vital tools in understanding how data analysis works in today's organizations. Students will learn to apply basic business analytics principles, communicate with analytics professionals, and effectively use and interpret analytic models to make better business decisions. Included access to commercial grade analytics software gives students real-world experience and career-focused value. Author James Evans takes a balanced, holistic approach and looks at business analytics from descriptive, and predictive perspectives. |
business analytics evans: Business Analytics, Global Edition James R Evans, 2020-03-13 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. The full text downloaded to your computer With eBooks you can: search for key concepts, words and phrases make highlights and notes as you study share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps. Upon purchase, you will receive via email the code and instructions on how to access this product. Time limit The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed. |
business analytics evans: Business Analytics James R. Evans, 2012-02-27 This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. A balanced, holistic approach to understanding business analytics. This book provides readers with the fundamental concepts and tools needed to understand the emerging role of business analytics in organizations. Evans also shows readers how to apply basic business analytics tools in a spreadsheet environment, and how to communicate with analytics professionals to effectively use and interpret analytic models and results for making better business decisions. |
business analytics evans: R for Business Analytics A Ohri, 2012-09-14 This book examines common tasks performed by business analysts and helps the reader navigate the wealth of information in R and its 4000 packages to create useful analytics applications. Includes interviews with corporate users of R, and easy-to-use examples. |
business analytics evans: Introduction to Business Analytics, Second Edition Majid Nabavi, David L. Olson, Wesley S. Boyce, 2020-12-14 This book presents key concepts related to quantitative analysis in business. It is targeted at business students (both undergraduate and graduate) taking an introductory core course. Business analytics has grown to be a key topic in business curricula, and there is a need for stronger quantitative skills and understanding of fundamental concepts. This second edition adds material on Tableau, a very useful software for business analytics. This supplements the tools from Excel covered in the first edition, to include Data Analysis Toolpak and SOLVER. |
business analytics evans: Creating Value with Data Analytics in Marketing Peter C. Verhoef, Edwin Kooge, Natasha Walk, Jaap E. Wieringa, 2021-11-07 This book is a refreshingly practical yet theoretically sound roadmap to leveraging data analytics and data science. The vast amount of data generated about us and our world is useless without plans and strategies that are designed to cope with its size and complexity, and which enable organizations to leverage the information to create value in marketing. Creating Value with Data Analytics in Marketing provides a nuanced view of big data developments and data science, arguing that big data is not a revolution but an evolution of the increasing availability of data that has been observed in recent times. Building on the authors’ extensive academic and practical knowledge, this book aims to provide managers and analysts with strategic directions and practical analytical solutions on how to create value from existing and new big data. The second edition of this bestselling text has been fully updated in line with developments in the field and includes a selection of new, international cases and examples, exercises, techniques and methodologies. Tying data and analytics to specific goals and processes for implementation makes this essential reading for advanced undergraduate and postgraduate students and specialists of data analytics, marketing research, marketing management and customer relationship management. Online resources include chapter-by-chapter lecture slides and data sets and corresponding R code for selected chapters. |
business analytics evans: Encyclopedia of Business Analytics and Optimization Wang, John, 2014-02-28 As the age of Big Data emerges, it becomes necessary to take the five dimensions of Big Data- volume, variety, velocity, volatility, and veracity- and focus these dimensions towards one critical emphasis - value. The Encyclopedia of Business Analytics and Optimization confronts the challenges of information retrieval in the age of Big Data by exploring recent advances in the areas of knowledge management, data visualization, interdisciplinary communication, and others. Through its critical approach and practical application, this book will be a must-have reference for any professional, leader, analyst, or manager interested in making the most of the knowledge resources at their disposal. |
business analytics evans: Business Analytics Richard Vidgen, Sam Kirshner, Felix Tan, 2019-09-28 This exciting new textbook offers an accessible, business-focused overview of the key theoretical concepts underpinning modern data analytics. It provides engaging and practical advice on using the key software tools, including SAS Visual Analytics, R and DataRobot, that are used in organisations to help make effective data-driven decisions. Combining theory with hands-on practical examples, this essential text includes cutting edge coverage of new areas of interest including social media analytics, design thinking and the ethical implications of using big data. A wealth of learning features including exercises, cases, online resources and data sets help students to develop analytic problem-solving skills. With its management perspective on analytics and its coverage of a range of popular software tools, this is an ideal essential text for upper-level undergraduate, postgraduate and MBA students. It is also ideal for practitioners wanting to understand the broader organisational context of big data analysis and to engage critically with the tools and techniques of business analytics. Accompanying online resources for this title can be found at bloomsburyonlineresources.com/business-analytics. These resources are designed to support teaching and learning when using this textbook and are available at no extra cost. |
business analytics evans: Managing for Quality and Performance Excellence James R. Evans, William M. Lindsay, 2013-01-02 Provide a description about the book that does not include any references to package elements. This description will provide a description where the core, text-only product or an eBook is sold. Please remember to fill out the variations section on the PMI with the book only information. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version. |
business analytics evans: Business Analytics James Abdey, 2023-11-29 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). |
business analytics evans: Business Analytics Jeffrey D. Camm, James J. Cochran, Michael J. Fry, Jeffrey W. Ohlmann, 2020-03-10 Present the full range of analytics -- from descriptive and predictive to prescriptive analytics -- with Camm/Cochran/Fry/Ohlmann's market-leading BUSINESS ANALYTICS, 4E. Clear, step-by-step instructions teach students how to use Excel, Tableau, R and JMP Pro to solve more advanced analytics concepts. As instructor, you have the flexibility to choose your preferred software for teaching concepts. Extensive solutions to problems and cases save grading time, while providing students with critical practice. This edition covers topics beyond the traditional quantitative concepts, such as data visualization and data mining, which are increasingly important in today's analytical problem solving. In addition, MindTap and WebAssign customizable digital course solutions offer an interactive eBook, auto-graded exercises from the printed book, algorithmic practice problems with solutions and Exploring Analytics visualizations to strengthen students' understanding of course concepts. |
business analytics evans: The Global Business of Coaching David Lines, Christina Evans, 2020-04-22 Coaching has become a global business phenomenon, yet the way that coaching has evolved and spread across the globe is not unproblematic. Some of these challenges include: different types/genres of coaching; understanding and relevance of different coaching philosophies and models in different cultural contexts; equivalency of qualifications and coach credentials, as well as questions over standards and governance, as part of a wider debate around professionalization. Coaching then, as with the transfer of knowledge and professionalization in other disciplines, is not immune to ethnocentricity. Through a combination of adopting a meta-analysis of coaching, supported with narratives of coaching practice drawn from different socio-political/cultural contexts, the aim of this book is to challenge current knowledge, understanding and norms of how coaching is, or should, be practised in different cultural contexts. This book will provide a foundation for further research in coaching as an academic field of study and as an emerging profession. It will resonate with critical scholars, coach educators, and coach practitioners who want to develop their praxis and enhance their reflexivity and be of interest to researchers, academics, and students in the fields of business and leadership, human resource development, organizational learning and development, mentoring and coaching. |
business analytics evans: Data Mining and Business Analytics with R Johannes Ledolter, 2013-05-28 Collecting, analyzing, and extracting valuable information from a large amount of data requires easily accessible, robust, computational and analytical tools. Data Mining and Business Analytics with R utilizes the open source software R for the analysis, exploration, and simplification of large high-dimensional data sets. As a result, readers are provided with the needed guidance to model and interpret complicated data and become adept at building powerful models for prediction and classification. Highlighting both underlying concepts and practical computational skills, Data Mining and Business Analytics with R begins with coverage of standard linear regression and the importance of parsimony in statistical modeling. The book includes important topics such as penalty-based variable selection (LASSO); logistic regression; regression and classification trees; clustering; principal components and partial least squares; and the analysis of text and network data. In addition, the book presents: • A thorough discussion and extensive demonstration of the theory behind the most useful data mining tools • Illustrations of how to use the outlined concepts in real-world situations • Readily available additional data sets and related R code allowing readers to apply their own analyses to the discussed materials • Numerous exercises to help readers with computing skills and deepen their understanding of the material Data Mining and Business Analytics with R is an excellent graduate-level textbook for courses on data mining and business analytics. The book is also a valuable reference for practitioners who collect and analyze data in the fields of finance, operations management, marketing, and the information sciences. |
business analytics evans: An Introduction to Business Analytics Ger Koole, 2019 Business Analytics (BA) is about turning data into decisions. This book covers the full range of BA topics, including statistics, machine learning and optimization, in a way that makes them accessible to a broader audience. Decision makers will gain enough insight into the subject to have meaningful discussions with machine learning specialists, and those starting out as data scientists will benefit from an overview of the field and take their first steps as business analytics specialist. Through this book and the various exercises included, you will be equipped with an understanding of BA, while learning R, a popular tool for statistics and machine learning. |
business analytics evans: Business analyst: a profession and a mindset Yulia Kosarenko, 2019-05-12 What does it mean to be a business analyst? What would you do every day? How will you bring value to your clients? And most importantly, what makes a business analyst exceptional? This book will answer your questions about this challenging career choice through the prism of the business analyst mindset — a concept developed by the author, and its twelve principles demonstrated through many case study examples. Business analyst: a profession and a mindset is a structurally rich read with over 90 figures, tables and models. It offers you more than just techniques and methodologies. It encourages you to understand people and their behaviour as the key to solving business problems. |
business analytics evans: HBR Guide to Data Analytics Basics for Managers (HBR Guide Series) Harvard Business Review, 2018-03-13 Don't let a fear of numbers hold you back. Today's business environment brings with it an onslaught of data. Now more than ever, managers must know how to tease insight from data--to understand where the numbers come from, make sense of them, and use them to inform tough decisions. How do you get started? Whether you're working with data experts or running your own tests, you'll find answers in the HBR Guide to Data Analytics Basics for Managers. This book describes three key steps in the data analysis process, so you can get the information you need, study the data, and communicate your findings to others. You'll learn how to: Identify the metrics you need to measure Run experiments and A/B tests Ask the right questions of your data experts Understand statistical terms and concepts Create effective charts and visualizations Avoid common mistakes |
business analytics evans: Key Business Analytics Bernard Marr, 2016-02-10 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. |
business analytics evans: Social Media Marketing Dave Evans, 2010-09-16 How to implement social technology in business, spur collaborative innovation and drive winning programs to improve products, services, and long-term profits and growth. The road to social media marketing is now well paved: A July 2009 Anderson Analytics study found 60% of the Internet population uses social networks and social media sites such as Facebook, MySpace, and Twitter. Collaboration and innovation, driven by social technology, are “what’s next.” Written by the author of the bestselling Social Media Marketing: An Hour a Day in collaboration with Jake McKee, Social Media Marketing: The Next Generation of Business Engagement takes marketers, product managers, small business owners, senior executives and organizational leaders on to the next step in social technology and its application in business. In particular, this book explains how to successfully implement a variety tools, how to ensure higher levels of customer engagement, and how to build on the lessons learned and information gleaned from first-generation social media marketing efforts and to carry this across your organization. This book: Details how to develop, implement, monitor and measure successful social media activities, and how to successfully act on feedback from the social web Discusses conversation-monitoring tools and platforms to accelerate the business innovation cycle along with the metrics required to prove the success of social technology adoption Connects the social dots more deeply across the entire organization, moving beyond marketing and into product development, customer service and customer-driven innovation, and the benefits of encouraging employee collaboration. Social media has become a central component of marketing: Collaborative, social technology is now moving across the organization, into business functions ranging from HR and legal to product management and the supply chain. Social Media Marketing: The Next Generation of Business Engagement is the perfect book for marketers, business unit managers and owners, HR professionals and anyone else looking to better understand how to use social technologies and platforms to build loyalty in customers, employees, partners and suppliers to drive long term growth and profits. |
business analytics evans: Enterprise Cybersecurity in Digital Business Ariel Evans, 2022-03-22 Cyber risk is the highest perceived business risk according to risk managers and corporate insurance experts. Cybersecurity typically is viewed as the boogeyman: it strikes fear into the hearts of non-technical employees. Enterprise Cybersecurity in Digital Business: Building a Cyber Resilient Organization provides a clear guide for companies to understand cyber from a business perspective rather than a technical perspective, and to build resilience for their business. Written by a world-renowned expert in the field, the book is based on three years of research with the Fortune 1000 and cyber insurance industry carriers, reinsurers, and brokers. It acts as a roadmap to understand cybersecurity maturity, set goals to increase resiliency, create new roles to fill business gaps related to cybersecurity, and make cyber inclusive for everyone in the business. It is unique since it provides strategies and learnings that have shown to lower risk and demystify cyber for each person. With a clear structure covering the key areas of the Evolution of Cybersecurity, Cybersecurity Basics, Cybersecurity Tools, Cybersecurity Regulation, Cybersecurity Incident Response, Forensics and Audit, GDPR, Cybersecurity Insurance, Cybersecurity Risk Management, Cybersecurity Risk Management Strategy, and Vendor Risk Management Strategy, the book provides a guide for professionals as well as a key text for students studying this field. The book is essential reading for CEOs, Chief Information Security Officers, Data Protection Officers, Compliance Managers, and other cyber stakeholders, who are looking to get up to speed with the issues surrounding cybersecurity and how they can respond. It is also a strong textbook for postgraduate and executive education students in cybersecurity as it relates to business. |
business analytics evans: Excel' in Business Analytics Andrew Goodnite, William A Young, 2020-03-27 |
business analytics evans: Business Analytics for Banking Jovan Pehcevski, 2016-11-30 Offers a thorough review of business analytics for banking. It covers topics such as a bank's customer analytics, fraud detection and analytics, risk analytics, and various banking business analytics case studies drawn from the experience in different countries. |
business analytics evans: Digital Business Analysis Fredrik Milani, 2019-01-25 This book frames business analysis in the context of digital technologies. It introduces modern business analysis techniques, including a selection of those in the Business Analysis Body of Knowledge (BABOK) by the International Institute of Business Analysis (IIBA), and exemplifies them by means of digital technologies applied to solve problems or exploit new business opportunities. It also includes in-depth case studies in which business problems and opportunities, drawn from real-world scenarios, are mapped to digital solutions. The work is summarized in seven guiding principles that should be followed by every business analyst. This book is intended mainly for students in business informatics and related areas, and for professionals who want to acquire a solid background for their daily work. It is suitable both for courses and for self-study. Additional teaching materials such as lecture videos, slides, question bank, exams, and seminar materials are accessible on the companion web-page. |
business analytics evans: FUNDAMENTALS OF BUSINESS ANALYTICS (With CD ) R. N. Prasad, Seema Acharya, 2011-08 Market_Desc: Primary MarketEngineering (BE/BTech)/ME/MTech students who are interested to develop conceptual level subject knowledge with examples of industrial strength applications.Secondary MarketMCA/MBA/Business users/business analysts Special Features: · Foreword by Prof R Natarajan, Former Chairman, AICTE, Former Director, IIT Madras.· Excellent authorship.· Single source of introductory knowledge on business intelligence (BI).· Provides a good start for first-time learners typically from the engineering and management discipline.· Covers the complete life cycle of BI/Analytics Application development project.· Helps develop deeper understanding of the subject with an enterprise context, and discusses its application in businesses.· Explains concepts with the help of illustrations, application to real-life scenarios and provides opportunities to test understanding.· States the pre-requisites for each chapter and different reference sources available.· In addition the book also has the following pedagogical features:· Industrial application case studies.· Crossword puzzles/do it yourself exercises/assignments to help with self-assessment. The solutions to these have also been provided. · Glossary of terms.· References/web links/bibliography - generally at the end of every concept.CD Companion:To ensure that concepts can be practiced for deeper understanding at low cost, the book is accompanied with a CD containing:· Step-by-step Hands-On manual on:ü An open source tool, Pentaho Data Integrator (PDI) to explain the process of extraction of data from multiple varied sources.ü MS Excel to explain the concept of analysis.ü MS Access to generate reports on the analyzed data.· An integrated project that encompasses the complete life cycle of a BI project. About The Book: The book promises to be a single source of introductory knowledge on business intelligence which can be taught in one semester. It will provide a good start for first time learners typically from the engineering and management discipline. Business Intelligence subject cannot be studied in isolation. The book provides a holistic coverage beginning with an enterprise context, developing deeper understanding through the use of tools, touching a few domains where BI is embraced and discussing the problems that BI can help solve. It covers the complete life cycle of BI/Analytics project: Covering operational/transactional data sources, data transformation, data mart/warehouse design-build, analytical reporting, and dashboards. To ensure that concepts can be practiced for deeper understanding at low cost, the book is accompanied with step-by-step hands-on manual in the CD. |
business analytics evans: The Value of Business Analytics Evan Stubbs, 2011-07-26 TURN YOUR CHALLENGES INTO SUCCESSES – LEARN HOW AND WHY SOME TEAM STRUGGLE AND SOME SUCCEED This groundbreaking resource defines what business analytics is, the immense value it brings to an organization, and how to harness its power to gain a competitive edge in the marketplace. Author Evan Stubbs provides managers with the tools, knowledge, and strategies to get the organizational commitment you need to get business analytics up and running in your company. Drawing from numerous practical examples, The Value of Business Analytics provides an overview of how business analytics maps to organizational strategy and through examining the mistakes teams commonly make that prevent their success, author Evan Stubbs uncovers a four-step framework which helps improve the odds of success. Built on field-tested experience, The Value of Business Analytics explains the importance of and how to: Define the Value: Link analytics outcomes to business value, thereby helping build a sense of urgency and a need for change. Communicate the Value: Persuade the right people by understanding what motivates them. Deliver the Value: Link tactical outcomes to long-term strategic differentiation. Measure the Value: Validate wins and deliver continuous improvement to help drive ongoing transformation. Translating massive amounts of data into real insight is beyond magic—it’s competitive advantage distilled. Nothing else offers an equivalent level of agility, productivity improvement, or renewable value. Whether you’re looking to quantify the value of your work or generate organizational support, learn how to leverage advanced business analytics with the hands-on guidance found in The Value of Business Analytics. Drawing on the successes and failures of countless organizations, author Evan Stubbs provides a reference rich in content that spans everything from hiring the right people, understanding technical maturity, assessing culture, and structuring strategic planning. A must-read for any business analytics leader and an essential reference in shifting the perspective of business analytics away from algorithms towards outcomes. Learn how to increase the odds of successful value creation with The Value of Business Analytics. |
business analytics evans: Measuring Statistical Evidence Using Relative Belief Michael Evans, 2015-06-23 This book provides an overview of recent work on developing a theory of statistical inference based on measuring statistical evidence. It attempts to establish a gold standard for how a statistical analysis should proceed. The book illustrates relative belief theory using many examples and describes the strengths and weaknesses of the theory. The author also addresses fundamental statistical issues, including the meaning of probability, the role of subjectivity, the meaning of objectivity, and the role of infinity and continuity. |
business analytics evans: An Introduction to Statistical Learning Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani, Jonathan Taylor, 2023-06-30 An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance, marketing, and astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, deep learning, survival analysis, multiple testing, and more. Color graphics and real-world examples are used to illustrate the methods presented. This book is targeted at statisticians and non-statisticians alike, who wish to use cutting-edge statistical learning techniques to analyze their data. Four of the authors co-wrote An Introduction to Statistical Learning, With Applications in R (ISLR), which has become a mainstay of undergraduate and graduate classrooms worldwide, as well as an important reference book for data scientists. One of the keys to its success was that each chapter contains a tutorial on implementing the analyses and methods presented in the R scientific computing environment. However, in recent years Python has become a popular language for data science, and there has been increasing demand for a Python-based alternative to ISLR. Hence, this book (ISLP) covers the same materials as ISLR but with labs implemented in Python. These labs will be useful both for Python novices, as well as experienced users. |
business analytics evans: Building Corporate Accountability Simon Zadek, Richard Evans, Peter Pruzan, 2013-11-05 The practice of social and ethical accounting is emerging as a key tool for companies in the 1990s in response to calls for greater transparency and accountability to different stakeholders, and as a means for managing companies in increasingly complex situations where social and environmental issues are significant in securing business success. This is the first book to address the practice of social and ethical accounting, auditing and reporting, and its implications for the development of corporate social, ethical and environmental responsibility. It includes ten case studies, as well as an historical overview of the development of social and ethical accounting and reporting. The editors introduce a methodological framework that allows emerging practice worldwide to be analysed, understood and improved; and the case studies are written by the practitioners, giving insight into the experiences described. This innovative book, written by internationally acknowledged leaders in the field, will be of enormous value to business managers, particularly those with responsibility for corporate affairs, human resources, environmental management, financial management, or planning. It will also be a useful text for business students. |
business analytics evans: Domain-Driven Design Eric Evans, 2003-08-22 Domain-Driven Design fills that need. This is not a book about specific technologies. It offers readers a systematic approach to domain-driven design, presenting an extensive set of design best practices, experience-based techniques, and fundamental principles that facilitate the development of software projects facing complex domains. Intertwining design and development practice, this book incorporates numerous examples based on actual projects to illustrate the application of domain-driven design to real-world software development. Readers learn how to use a domain model to make a complex development effort more focused and dynamic. A core of best practices and standard patterns provides a common language for the development team. A shift in emphasis–refactoring not just the code but the model underlying the code–in combination with the frequent iterations of Agile development leads to deeper insight into domains and enhanced communication between domain expert and programmer. Domain-Driven Design then builds on this foundation, and addresses modeling and design for complex systems and larger organizations.Specific topics covered include: With this book in hand, object-oriented developers, system analysts, and designers will have the guidance they need to organize and focus their work, create rich and useful domain models, and leverage those models into quality, long-lasting software implementations. |
business analytics evans: Managing Cyber Risk Ariel Evans, 2019-03-28 Cyber risk is the second highest perceived business risk according to U.S. risk managers and corporate insurance experts. Digital assets now represent over 85% of an organization’s value. In a survey of Fortune 1000 organizations, 83% surveyed described cyber risk as an organizationally complex topic, with most using only qualitative metrics that provide little, if any insight into an effective cyber strategy. Written by one of the foremost cyber risk experts in the world and with contributions from other senior professionals in the field, Managing Cyber Risk provides corporate cyber stakeholders – managers, executives, and directors – with context and tools to accomplish several strategic objectives. These include enabling managers to understand and have proper governance oversight of this crucial area and ensuring improved cyber resilience. Managing Cyber Risk helps businesses to understand cyber risk quantification in business terms that lead risk owners to determine how much cyber insurance they should buy based on the size and the scope of policy, the cyber budget required, and how to prioritize risk remediation based on reputational, operational, legal, and financial impacts. Directors are held to standards of fiduciary duty, loyalty, and care. These insights provide the ability to demonstrate that directors have appropriately discharged their duties, which often dictates the ability to successfully rebut claims made against such individuals. Cyber is a strategic business issue that requires quantitative metrics to ensure cyber resiliency. This handbook acts as a roadmap for executives to understand how to increase cyber resiliency and is unique since it quantifies exposures at the digital asset level. |
business analytics evans: Born to Fly Sara Evans, 2020-09-08 Discover country music star Sara Evans’s inspirational story about her rise to stardom, her roundabout path to love, and how her faith brings daily joy no matter the circumstances. Sara Evans—a Billboard, ACM, and CMA Award–winning country music star who’s been named one of People’s “50 Most Beautiful People” and competed on ABC’s Dancing with the Stars—has been inspiring fans throughout her successful music career. In this powerful, personal, and often humorous book, Sara opens up and shares stories from her career, describing what it’s like living in the spotlight and how her faith keeps her strong. She writes about overcoming life’s most challenging experiences, from a childhood accident that nearly took her life, to the loss she experienced when her parents divorced, and from her own painful and very public divorce, to finding incredible love when she least expected it with former pro quarterback-turned-sportscaster Jay Barker. Now, after over a decade of marriage, Sara and Jay’s blended family of nine is thriving, filling her life with focus and meaning. As she weaves the narrative of her life, Sara candidly reveals the things that are most important to her and her family now, her favorite tips about staying true to herself and her faith, knowing when to ask for help, abandoning perfectionism, and the importance of a strong support group of friends and family. Fans old and new will enjoy this inspiring, heartfelt book. |
business analytics evans: The Experimental City James Evans, Andrew Karvonen, Rob Raven, 2016-05-20 This book explores how the concept or urban experimentation is being used to reshape practices of knowledge production in urban debates about resilience, climate change governance, and socio-technical transitions. With contributions from leading scholars, and case studies from the Global North and South, from small to large scale cities, this book suggests that urban experiments offer novel modes of engagement, governance, and politics that both challenge and complement conventional strategies. The book is organized around three cross-cutting themes. Part I explores the logics of urban experimentation, different approaches, and how and why they are deployed. Part II considers how experiments are being staged within cities, by whom, and with what effects? Part III examines how entire cities or groups of cities are constructed as experiments. This book seeks to contribute a deeper and more socially and politically nuanced understanding of how urban experiments shape cities and drive wider changes in society, providing a framework to examine the phenomenon of urban experimentation in conceptual and empirical detail. |
business analytics evans: Business Analytics Sanjiv Jaggia, Alison Kelly (Professor of economics), Kevin Lertwachara, Leida Chen, 2022 We wrote Business Analytics: Communicating with Numbers from the ground up to prepare students to understand, manage, and visualize the data; apply the appropriate analysis tools; and communicate the findings and their relevance. The text seamlessly threads the topics of data wrangling, descriptive analytics, predictive analytics, and prescriptive analytics into a cohesive whole. In the second edition of Business Analytics, we have made substantial revisions that meet the current needs of the instructors teaching the course and the companies that require the relevant skillset. These revisions are based on the feedback of reviewers and users of our first edition. The greatly expanded coverage of the text gives instructors the flexibility to select the topics that best align with their course objectives-- |
business analytics evans: Multiple Objective Analytics for Criminal Justice Systems Gerald W. Evans, 2024-10-09 Criminal justice systems are complex and difficult to design and operate. This is due to their many interacting parts, and their dynamic and probabilistic nature, as well as their interfaces with other systems. This book reviews the use of analytics to address issues in criminal justice system and discusses the various sources of data associated with the systems. This book is meant to be used by those who would like 1) an introduction to criminal justice systems and 2) an illustration of how some of the various methodologies of analytics can be used to address specific issues in criminal justice systems. This book will be of interest to faculty, students, and researchers in schools/departments of criminal justice, law, public affairs, political science, industrial engineering, and management. In addition, the book should be of use to government analysts who study the effects of criminal programs and laws. |
business analytics evans: The Business Analyst's Handbook Howard Podeswa, 2009 One of the objectives of this book is to incorporate best practices and standards in to the BA role. While a number of standards and guidelines, such as Business Process Modeling Notation (BPMN), have been incorporated, particular emphasis has been placed on the Business Analysis Body of Knowledge (BABOK), the Information Technology Infrastructure Library (ITIL), and the Unified Modeling Language (UML). |
business analytics evans: LEARNING TABLEAU 2020 - FOURTH EDITION JOSHUA N. MILLIGAN, 2020 |
business analytics evans: Sustainable Marketing Michelle Carvill, Gemma Butler, Geraint Evans, 2021-03-23 Sustainable Marketing is the essential guide to implementing, maintaining and scaling sustainability in any marketing initiative. Sustainable Marketing represents the new benchmark for modern marketing. It emphasizes the importance of sustainability in modern marketing, before providing a comprehensive guide to implementing and driving sustainable practices in any organization. It draws upon both professional experiences and academic research, featuring in-depth case studies that are supported by facts, figures, commentary, interviews and analysis. In the modern age of authenticity and transparency, consumers are no longer content with brands that are dismissive of, or even apathetic to, sustainability. This includes, but isn't limited to, environmental factors - brands are expected to convey understanding, concern and proactivity, whether this applies to their carbon footprint, employee welfare or charitable contribution. Sustainable marketing isn't just great for the environment--it also results in a loyal consumer base and a widely respected brand identity. |
business analytics evans: Business Intelligence and Analytics Ramesh Sharda, Dursun Delen, Efraim Turban, Peng Liang Ting, 2014 Appropriate for all courses in Decision Support Systems (DSS), computerized decision making tools, and management support systems. Decision Support and Business Intelligence Systems 10e provides the only comprehensive, up-to-date guide to today's revolutionary management support system technologies, and showcases how they can be used for better decision-making. The 10th edition focuses on Business Intelligence (BI) and analytics for enterprise decision support in a more streamlined book. In addition to traditional decision support applications, this edition expands the reader's understanding of the various types of analytics by providing examples, products, services, and exercises by discussing Web-related issues throughout the text. |
BUSINESS | English meaning - Cambridge Dictionary
BUSINESS definition: 1. the activity of buying and selling goods and services: 2. a particular company that buys and…. Learn more.
VENTURE | English meaning - Cambridge Dictionary
VENTURE definition: 1. a new activity, usually in business, that involves risk or uncertainty: 2. to risk going…. Learn more.
ENTERPRISE | English meaning - Cambridge Dictionary
ENTERPRISE definition: 1. an organization, especially a business, or a difficult and important plan, especially one that…. Learn more.
INCUMBENT | English meaning - Cambridge Dictionary
INCUMBENT definition: 1. officially having the named position: 2. to be necessary for someone: 3. the person who has or…. Learn more.
CULTIVATE | English meaning - Cambridge Dictionary
CULTIVATE definition: 1. to prepare land and grow crops on it, or to grow a particular crop: 2. to try to develop and…. Learn more.
ENTREPRENEURIAL | English meaning - Cambridge Dictionary
ENTREPRENEURIAL definition: 1. relating to someone who starts their own business or is good at seeing new opportunities to make…. Learn more.
LEVERAGE | English meaning - Cambridge Dictionary
LEVERAGE definition: 1. the action or advantage of using a lever: 2. power to influence people and get the results you…. Learn more.
AD HOC | English meaning - Cambridge Dictionary
AD HOC definition: 1. made or happening only for a particular purpose or need, not planned before it happens: 2. made…. Learn more.
EQUITY | English meaning - Cambridge Dictionary
EQUITY definition: 1. the value of a company, divided into many equal parts owned by the shareholders, or one of the…. Learn more.
ENTREPRENEUR | English meaning - Cambridge Dictionary
ENTREPRENEUR definition: 1. someone who starts their own business, especially when this involves seeing a new opportunity…. Learn more.
BUSINESS | English mea…
BUSINESS definition: 1. the activity of …
VENTURE | English mea…
VENTURE definition: 1. a new activity, usually …
ENTERPRISE | English mea…
ENTERPRISE definition: 1. an organization, …
INCUMBENT | English mea…
INCUMBENT definition: 1. officially having …
CULTIVATE | English mea…
CULTIVATE definition: 1. to prepare land …