| business analytics utd degree plan: Our Health Plan Jim Rickards, 2017-08-01 Just when you thought there was no cure for an ailing healthcare system, Our Health Plan will change your mind entirely. Chronicling the journey of a single community through the labyrinth of local healthcare in its efforts to effect change, proponents focus on the most economically disadvantaged and vulnerable-the Medicaid population, as well as reaching out to the commercially insured, creating a revolutionary Coordinated Care Organization, or CCO, in the process. Harnessing the power of its doctors, hospitals, dentists, psychologists, addiction counselors, paramedics, educators, and other integral healthcare forces, the medical community learns to work as a cohesive unit. Results include vastly improved care, reduced costs, favorable relationships and communication among providers, and patients with a decisive voice in a totally reimagined healthcare system. |
| business analytics utd degree plan: Management Science Powell, Kenneth R. Baker, 2013-10-07 Now in its fourth edition, Powell and Baker’s Management Science: The Art of Modeling with Spreadsheets, 4th Edition provides students and business analysts with the technical knowledge and skill needed to develop real expertise in business modeling. In this book, the authors cover spreadsheet engineering, management science, and the modeling craft. Management Science, 4th Edition provides students and business analysts with the technical knowledge and skill needed to develop real expertise in business modeling. The authors cover spreadsheet engineering, management science, and the modeling craft. The text is designed to improve modeling efficiency and modeling effectiveness by focusing on the most important tasks and tools. |
| business analytics utd degree plan: Probably Someday Cancer Kim Horner, 2019-02-15 After learning that she inherited a BRCA2 genetic mutation that put her at high risk for breast and ovarian cancer, Kim Horner’s doctors urged her to consider having a double mastectomy. But how do you decide whether to have a surgery to remove your breasts to reduce your risk for a disease you don’t have and may never get? Horner shares her struggle to answer that question in Probably Someday Cancer. The mother of a one-year-old boy, she wanted to do whatever would give her the best odds of being around for her son and protect her from breast cancer, which killed her grandmother and great-grandmother in their 40s. Which would give her the best chance at a long healthy life: a double mastectomy or frequent screenings to try to catch any cancer early? The answers weren’t that simple. Based on extensive research, interviews, and personal experience, Horner writes about how and why she ultimately opted for a double mastectomy—the same decision actress Angelina Jolie made for a similar genetic mutation—and the surprising diagnosis that followed. The book explores difficult truths that get overshadowed by upbeat messages about early detection and survivorship—the fact that screenings can miss cancers and that even early-stage breast cancers can spread and become fatal. Probably Someday Cancer is about the author’s efforts to push past her fear and anxiety. This book can help anyone facing hereditary risk of breast and ovarian cancer feel less alone and make informed decisions to protect their health and end the devastation that hereditary cancer has caused for generations in so many families. |
| business analytics utd degree plan: Business Analytics Sanjiv Jaggia, Alison Kelly (Professor of economics), Kevin Lertwachara, Leida Chen, 2023 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 utd degree plan: It's All Analytics! Scott Burk, Gary D. Miner, 2020-05-25 It's All Analytics! The Foundations of AI, Big Data and Data Science Landscape for Professionals in Healthcare, Business, and Government (978-0-367-35968-3, 325690) Professionals are challenged each day by a changing landscape of technology and terminology. In recent history, especially in the last 25 years, there has been an explosion of terms and methods that automate and improve decision-making and operations. One term, analytics, is an overarching description of a compilation of methodologies. But AI (artificial intelligence), statistics, decision science, and optimization, which have been around for decades, have resurged. Also, things like business intelligence, online analytical processing (OLAP) and many, many more have been born or reborn. How is someone to make sense of all this methodology and terminology? This book, the first in a series of three, provides a look at the foundations of artificial intelligence and analytics and why readers need an unbiased understanding of the subject. The authors include the basics such as algorithms, mental concepts, models, and paradigms in addition to the benefits of machine learning. The book also includes a chapter on data and the various forms of data. The authors wrap up this book with a look at the next frontiers such as applications and designing your environment for success, which segue into the topics of the next two books in the series. |
| business analytics utd degree plan: Data Mining for Business Analytics Galit Shmueli, Peter C. Bruce, Nitin R. Patel, 2016-04-18 An applied approach to data mining and predictive analytics with clear exposition, hands-on exercises, and real-life case studies. Readers will work with all of the standard data mining methods using the Microsoft® Office Excel® add-in XLMiner® to develop predictive models and learn how to obtain business value from Big Data. Featuring updated topical coverage on text mining, social network analysis, collaborative filtering, ensemble methods, uplift modeling and more, the Third Edition also includes: Real-world examples to build a theoretical and practical understanding of key data mining methods End-of-chapter exercises that help readers better understand the presented material Data-rich case studies to illustrate various applications of data mining techniques Completely new chapters on social network analysis and text mining A companion site with additional data sets, instructors material that include solutions to exercises and case studies, and Microsoft PowerPoint® slides https://www.dataminingbook.com Free 140-day license to use XLMiner for Education software Data Mining for Business Analytics: Concepts, Techniques, and Applications in XLMiner®, Third Edition is an ideal textbook for upper-undergraduate and graduate-level courses as well as professional programs on data mining, predictive modeling, and Big Data analytics. The new edition is also a unique reference for analysts, researchers, and practitioners working with predictive analytics in the fields of business, finance, marketing, computer science, and information technology. Praise for the Second Edition ...full of vivid and thought-provoking anecdotes... needs to be read by anyone with a serious interest in research and marketing.– Research Magazine Shmueli et al. have done a wonderful job in presenting the field of data mining - a welcome addition to the literature. – ComputingReviews.com Excellent choice for business analysts...The book is a perfect fit for its intended audience. – Keith McCormick, Consultant and Author of SPSS Statistics For Dummies, Third Edition and SPSS Statistics for Data Analysis and Visualization Galit Shmueli, PhD, is Distinguished Professor at National Tsing Hua University’s Institute of Service Science. She has designed and instructed data mining courses since 2004 at University of Maryland, Statistics.com, The Indian School of Business, and National Tsing Hua University, Taiwan. Professor Shmueli is known for her research and teaching in business analytics, with a focus on statistical and data mining methods in information systems and healthcare. She has authored over 70 journal articles, books, textbooks and book chapters. Peter C. Bruce is President and Founder of the Institute for Statistics Education at www.statistics.com. He has written multiple journal articles and is the developer of Resampling Stats software. He is the author of Introductory Statistics and Analytics: A Resampling Perspective, also published by Wiley. Nitin R. Patel, PhD, is Chairman and cofounder of Cytel, Inc., based in Cambridge, Massachusetts. A Fellow of the American Statistical Association, Dr. Patel has also served as a Visiting Professor at the Massachusetts Institute of Technology and at Harvard University. He is a Fellow of the Computer Society of India and was a professor at the Indian Institute of Management, Ahmedabad for 15 years. |
| business analytics utd degree plan: Innovation and Strategy Rajan Varadarajan, Satish Jayachandran, Naresh K. Malhotra, 2018-06-29 This volume focuses on substantive issues in innovation, marketing strategy, and the nexus of innovation and marketing strategy. |
| business analytics utd degree plan: Breaking Failure Alexander Edsel, 2015-10-05 TIME-PROVEN TECHNIQUES FOR REDUCING RISK AND IMPROVING PERFORMANCE IN MISSION-CRITICAL BUSINESS ACTIVITIES Proven in high-stakes, high-risk environments–from defense to healthcare For business functions ranging from marketing to HR, R&D to M&A Indispensable for all executives, entrepreneurs, strategists, and product managers This guide brings together simple, risk-free, and low-cost ways to break cycles of business failure and underperformance. These techniques aren’t new or trendy: they’ve repeatedly proven themselves in mission-critical disciplines ranging from manufacturing to space exploration, with lives and billions of dollars on the line. They work. And they’ll work for you, too. First, you’ll learn how to use well-proven Failure Mode and Effects Analysis (FMEA) techniques to anticipate potential failure points before you introduce products, implement strategy, or launch marketing campaigns. Next, utilizing Root Cause Analysis (RCA), you’ll learn to uncover the root cause of business problems, so you can solve them once and for all. Third, you’ll discover how to use an Early Warning System (EWS) to identify “driver” variables in your business, gaining timely and actionable insights without complex predictive modeling. Whatever your role in decision-making, leadership, strategy, or product management, Breaking Failure will help you mitigate risk more effectively, achieve better results–and move forward in your career When lives are on the line, when billions of dollars are at risk, failure is not an option. That’s why industries such as aerospace, chemical engineering, and healthcare have pioneered world-class methods for identifying, anticipating, and mitigating failure. In Breaking Failure, Alexander D. Edsel helps you adapt these proven techniques to the realities of your business. You’ll discover how to plan more effectively for contingencies, and how to uncover and address the root causes of poor performance in business functions ranging from marketing to hiring. Equally valuable, you’ll learn how to systematically improve your situational awareness, so you can uncover problems before they damage relationships, brand reputation, or business performance. Adapted to be 100% practical and actionable, these techniques will help companies of all sizes, in all markets. As you move towards greater speed and agility, they will become even more indispensable. A practical, systematic approach to “Breaking Failure” in your company Use Problem Framing to overcome the human bias towards thoughtless action Use Failure Mode & Effect Analysis (FMEA) to anticipate problems, prioritize risks,and plan corrective actions Use Root Cause Analysis (RCA) to identify true causes of failure in any process, product, or project Use an Early Warning System (EWS) to quickly recognize signs of underperformance Use Pre-Planned Exit Strategies and Exit Triggers to end failure and underperformance issues you can’t fix |
| business analytics utd degree plan: Marketing Analytics Mike Grigsby, 2015-06-03 Who is most likely to buy and what is the best way to target them? Marketing Analytics enables marketers and business analysts to answer these questions by leveraging proven methodologies to measure and improve upon the effectiveness of marketing programs. Marketing Analytics demonstrates how statistics, analytics and modeling can be put to optimal use to increase the effectiveness of every day marketing activities, from targeted list creation and data segmentation to testing campaign effectiveness and forecasting demand. The author explores many common marketing challenges and demonstrates how to apply different data models to arrive at viable solutions. Business cases and critical analysis are included to illustrate and reinforce key concepts throughout. Beginners will benefit from clear, jargon-free explanations of methodologies relating to statistics, marketing strategy and consumer behaviour. More experienced practitioners will appreciate the more complex aspects of data analytics and data modeling, discovering new applications of various techniques in every day practice. Readers of Marketing Analytics will come away with a firm foundation in markets analytics and the tools they need to gain competitive edge and increase market share. Online supporting resources for this book include a bank of test questions as well as data sets relating to many of the chapters. |
| business analytics utd degree plan: Marketing Analytics Mike Grigsby, 2018-04-03 Who is most likely to buy and what is the best way to target them? How can businesses improve strategy without identifying the key influencing factors? The second edition of Marketing Analytics enables marketers and business analysts to leverage predictive techniques to measure and improve marketing performance. By exploring real-world marketing challenges, it provides clear, jargon-free explanations on how to apply different analytical models for each purpose. From targeted list creation and data segmentation, to testing campaign effectiveness, pricing structures and forecasting demand, this book offers a welcome handbook on how statistics, consumer analytics and modelling can be put to optimal use. The fully revised second edition of Marketing Analytics includes three new chapters on big data analytics, insights and panel regression, including how to collect, separate and analyze big data. All of the advanced tools and techniques for predictive analytics have been updated, translating models such as tobit analysis for customer lifetime value into everyday use. Whether an experienced practitioner or having no prior knowledge, methodologies are simplified to ensure the more complex aspects of data and analytics are fully accessible for any level of application. Complete with downloadable data sets and test bank resources, this book supplies a concrete foundation to optimize marketing analytics for day-to-day business advantage. |
| business analytics utd degree plan: It's All Analytics - Part II Scott Burk, David Sweenor, Gary Miner, 2021-09-28 Up to 70% and even more of corporate Analytics Efforts fail!!! Even after these corporations have made very large investments, in time, talent, and money, in developing what they thought were good data and analytics programs. Why? Because the executives and decision makers and the entire analytics team have not considered the most important aspect of making these analytics efforts successful. In this Book II of It’s All Analytics! series, we describe two primary things: 1) What this most important aspect consists of, and 2) How to get this most important aspect at the center of the analytics effort and thus make your analytics program successful. This Book II in the series is divided into three main parts: Part I, Organizational Design for Success, discusses ....... The need for a complete company / organizational Alignment of the entire company and its analytics team for making its analytics successful. This means attention to the culture – the company culture culture!!! To be successful, the CEO’s and Decision Makers of a company / organization must be fully cognizant of the cultural focus on ‘establishing a center of excellence in analytics’. Simply, culture – company culture is the most important aspect of a successful analytics program. The focus must be on innovation, as this is needed by the analytics team to develop successful algorithms that will lead to greater company efficiency and increased profits. Part II, Data Design for Success, discusses ..... Data is the cornerstone of success with analytics. You can have the best analytics algorithms and models available, but if you do not have good data, efforts will at best be mediocre if not a complete failure. This Part II also goes further into data with descriptions of things like Volatile Data Memory Storage and Non-Volatile Data Memory Storage, in addition to things like data structures and data formats, plus considering things like Cluster Computing, Data Swamps, Muddy Data, Data Marts, Enterprise Data Warehouse, Data Reservoirs, and Analytic Sandboxes, and additionally Data Virtualization, Curated Data, Purchased Data, Nascent & Future Data, Supplemental Data, Meaningful Data, GIS (Geographic Information Systems) & Geo Analytics Data, Graph Databases, and Time Series Databases. Part II also considers Data Governance including Data Integrity, Data Security, Data Consistency, Data Confidence, Data Leakage, Data Distribution, and Data Literacy. Part III, Analytics Technology Design for Success, discusses .... Analytics Maturity and aspects of this maturity, like Exploratory Data Analysis, Data Preparation, Feature Engineering, Building Models, Model Evaluation, Model Selection, and Model Deployment. Part III also goes into the nuts and bolts of modern predictive analytics, discussing such terms as AI = Artificial Intelligence, Machine Learning, Deep Learning, and the more traditional aspects of analytics that feed into modern analytics like Statistics, Forecasting, Optimization, and Simulation. Part III also goes into how to Communicate and Act upon Analytics, which includes building a successful Analytics Culture within your company / organization. All-in-all, if your company or organization needs to be successful using analytics, this book will give you the basics of what you need to know to make it happen. |
| business analytics utd degree plan: Data Mining for Business Intelligence Galit Shmueli, Nitin R. Patel, Peter C. Bruce, 2006-12-11 Learn how to develop models for classification, prediction, and customer segmentation with the help of Data Mining for Business Intelligence In today's world, businesses are becoming more capable of accessing their ideal consumers, and an understanding of data mining contributes to this success. Data Mining for Business Intelligence, which was developed from a course taught at the Massachusetts Institute of Technology's Sloan School of Management, and the University of Maryland's Smith School of Business, uses real data and actual cases to illustrate the applicability of data mining intelligence to the development of successful business models. Featuring XLMiner, the Microsoft Office Excel add-in, this book allows readers to follow along and implement algorithms at their own speed, with a minimal learning curve. In addition, students and practitioners of data mining techniques are presented with hands-on, business-oriented applications. An abundant amount of exercises and examples are provided to motivate learning and understanding. Data Mining for Business Intelligence: Provides both a theoretical and practical understanding of the key methods of classification, prediction, reduction, exploration, and affinity analysis Features a business decision-making context for these key methods Illustrates the application and interpretation of these methods using real business cases and data This book helps readers understand the beneficial relationship that can be established between data mining and smart business practices, and is an excellent learning tool for creating valuable strategies and making wiser business decisions. |
| business analytics utd degree plan: Financial Statement Analysis & Valuation Peter Douglas Easton, Mary Lea McAnally, Gregory A. Sommers, Xiao-Jun Zhang ((Michael Chetkovich Chair in Accounting, University of California, Berkeley)), 2018 |
| business analytics utd degree plan: Business Computing Gediminas Adomavicius, Alok Gupta, 2009-01-29 Focuses on presenting specific innovative computing artifacts and tools developed by researchers that are not commercially used. This work presents approaches and frameworks that focus on ability of an enterprise to analyze, build and protect computing infrastructure that supports value-added dimensions to the enterprise's business processes. |
| business analytics utd degree plan: Hey, Whipple, Squeeze This Luke Sullivan, 2016-01-19 The classic guide to creating great advertising now covers all media: Digital, Social, and Traditional Hey Whipple, Squeeze This has helped generations of young creatives make their mark in the field. From starting out and getting work, to building successful campaigns, you gain a real-world perspective on what it means to be great in a fast-moving, sometimes harsh industry. You'll learn how to tell brand stories and create brand experiences online and in traditional media outlets, and you'll learn more about the value of authenticity, simplicity, storytelling, and conflict. Advertising is in the midst of a massive upheaval, and while creativity is still king, it's not nearly enough. This book is an essential resource for advertising professionals who need up-to-date digital skills to reach the modern consumer. Turn great ideas into successful campaigns Work effectively in all media channels Avoid the kill shots that will sink any campaign Protect your work Succeed without selling out Today's consumer has seen it all, and they're less likely than ever to even notice your masterpiece of art and copy, let alone internalize it. Your job is to craft a piece that rises out of the noise to make an impact. Hey Whipple, Squeeze This provides the knowledge to create impressive, compelling work. |
| business analytics utd degree plan: The Executive's Guide to AI and Analytics Scott Burk, Gary D. Miner, 2022-06-07 The Problem? Companies are failing to deliver on AI and analytics with over half stating they are not yet treating data as a business asset. Over half admit that they are not competing on data and analytics. Seven out of 10 companies in a 2020 MIT study reported minimal or no impact from AI so far. Among the 90% of companies that have made some investment in AI, fewer than 2 out of 5 (40%) report business gains from AI in the past three years. And only about 25% of organizations have actually forged this data-driven culture. Is investment lacking? No. Companies now are spending more than ever in data, analytics, and AI technologies. Is it a lack of technology? No. There are fascinating breakthroughs occurring on all fronts with image, voice, and streaming pattern recognition on the forefront. Is it a lack of technical talent? Not really. While some studies cite that we need to train more data scientists, developers, and related professionals, the curve of demand by supply is dampening. Is it a lack of creating an executable strategic plan? Yes. While there has been a lot of strategic wishing, organizations lack meaningful strategic plans. Specifically, the development of executable strategies and the leadership to see these strategies brought to fruition. This is the problem. Lack of execution and lack of incorporating key components that align and enable execution of the business strategy to delivery is killing AI and analytics programs. Scott Burk and Gary D. Miner have written this book for executives at all levels who are charged with executing on analytics that need to address this issue. The book provides unique insights into repairing the gaps that programs need to fill to provide value from analytics programs. It complements their three-part series, It’s All Analytics! by focusing on leadership decisions that augment data literacy, organizational architecture, and AI case studies. |
| business analytics utd degree plan: To Students Mahatma Gandhi, 1953 |
| business analytics utd degree plan: CliftonStrengths for Students Gallup, 2017-07-25 Helps aspiring college students discover where their strengths truly lie and how to develop them to reach their full potential at school and later in the real world. |
| business analytics utd degree plan: The Taiwan Voter Christopher Henry Achen, T. Y. Wang, 2017-07-26 The Taiwan Voter examines the critical role ethnic and national identities play in politics, utilizing the case of Taiwan. Although elections there often raise international tensions, and have led to military demonstrations by China, no scholarly books have examined how Taiwan’s voters make electoral choices in a dangerous environment. Critiquing the conventional interpretation of politics as an ideological battle between liberals and conservatives, The Taiwan Voter demonstrates in Taiwan the party system and voters’ responses are shaped by one powerful determinant of national identity—the China factor. Taiwan’s electoral politics draws international scholarly interest because of the prominent role of ethnic and national identification. While in most countries the many tangled strands of competing identities are daunting for scholarly analysis, in Taiwan the cleavages are powerful and limited in number, so the logic of interrelationships among issues, partisanship, and identity are particularly clear. The Taiwan Voter unites experts to investigate the ways in which social identities, policy views, and partisan preferences intersect and influence each other. These novel findings have wide applicability to other countries, and will be of interest to a broad range of social scientists interested in identity politics. |
| business analytics utd degree plan: Mobile Marketing Cindy Krum, 2010-02-25 Mobile Marketing Finding Your Customers No Matter Where They Are Use Mobile Marketing to Supercharge Brands, Sales, and Profits! Using brand-new mobile marketing techniques, you can craft campaigns that are more personal, targeted, immediate, measurable, actionable–and fun! Now, one of the field’s leading pioneers shows exactly how to make mobile marketing work for your business. Cindy Krum cuts through the hype, revealing what’s working–and what isn’t. She guides you through identifying the right strategies and tactics for your products, services, brands, and customers...avoiding overly intrusive, counterproductive techniques...and how to successfully integrate mobile into your existing marketing mix. Above all, Krum shows you how to effectively execute on your mobile marketing opportunities–driving greater brand awareness, stronger customer loyalty, more sales, and higher profits. Topics include Getting started fast with mobile marketing Understanding the international mobile marketing landscape Targeting and tracking the fast-changing mobile demographic Taking full advantage of the iPhone platform Leveraging mobile advertising, promotion, and location-based marketing Building micro-sites and mobile applications Performing search engine optimization for mobile sites and applications Building effective mobile affiliate marketing programs Integrating online and offline mobile marketing Avoiding mobile marketing spam, viruses, and privacy violations Previewing the future of mobile marketing |
| business analytics utd degree plan: Humanities Scholar in Residence National Endowment for the Humanities. Division of Education Programs, 1997 |
| business analytics utd degree plan: Global Strategy Mike W. Peng, 2006 Focuses on how newer companies and companies from emerging economies compete, both inside and outside their home markets. |
| business analytics utd degree plan: Engineering Software as a Service Armando Fox, David A. Patterson, 2016 (NOTE: this Beta Edition may contain errors. See http://saasbook.info for details.) A one-semester college course in software engineering focusing on cloud computing, software as a service (SaaS), and Agile development using Extreme Programming (XP). This book is neither a step-by-step tutorial nor a reference book. Instead, our goal is to bring a diverse set of software engineering topics together into a single narrative, help readers understand the most important ideas through concrete examples and a learn-by-doing approach, and teach readers enough about each topic to get them started in the field. Courseware for doing the work in the book is available as a virtual machine image that can be downloaded or deployed in the cloud. A free MOOC (massively open online course) at saas-class.org follows the book's content and adds programming assignments and quizzes. See http://saasbook.info for details.(NOTE: this Beta Edition may contain errors. See http://saasbook.info for details.) A one-semester college course in software engineering focusing on cloud computing, software as a service (SaaS), and Agile development using Extreme Programming (XP). This book is neither a step-by-step tutorial nor a reference book. Instead, our goal is to bring a diverse set of software engineering topics together into a single narrative, help readers understand the most important ideas through concrete examples and a learn-by-doing approach, and teach readers enough about each topic to get them started in the field. Courseware for doing the work in the book is available as a virtual machine image that can be downloaded or deployed in the cloud. A free MOOC (massively open online course) at saas-class.org follows the book's content and adds programming assignments and quizzes. See http://saasbook.info for details. |
| business analytics utd degree plan: Forensic Analytics Mark J. Nigrini, 2020-04-20 Become the forensic analytics expert in your organization using effective and efficient data analysis tests to find anomalies, biases, and potential fraud—the updated new edition Forensic Analytics reviews the methods and techniques that forensic accountants can use to detect intentional and unintentional errors, fraud, and biases. This updated second edition shows accountants and auditors how analyzing their corporate or public sector data can highlight transactions, balances, or subsets of transactions or balances in need of attention. These tests are made up of a set of initial high-level overview tests followed by a series of more focused tests. These focused tests use a variety of quantitative methods including Benford’s Law, outlier detection, the detection of duplicates, a comparison to benchmarks, time-series methods, risk-scoring, and sometimes simply statistical logic. The tests in the new edition include the newly developed vector variation score that quantifies the change in an array of data from one period to the next. The goals of the tests are to either produce a small sample of suspicious transactions, a small set of transaction groups, or a risk score related to individual transactions or a group of items. The new edition includes over two hundred figures. Each chapter, where applicable, includes one or more cases showing how the tests under discussion could have detected the fraud or anomalies. The new edition also includes two chapters each describing multi-million-dollar fraud schemes and the insights that can be learned from those examples. These interesting real-world examples help to make the text accessible and understandable for accounting professionals and accounting students without rigorous backgrounds in mathematics and statistics. Emphasizing practical applications, the new edition shows how to use either Excel or Access to run these analytics tests. The book also has some coverage on using Minitab, IDEA, R, and Tableau to run forensic-focused tests. The use of SAS and Power BI rounds out the software coverage. The software screenshots use the latest versions of the software available at the time of writing. This authoritative book: Describes the use of statistically-based techniques including Benford’s Law, descriptive statistics, and the vector variation score to detect errors and anomalies Shows how to run most of the tests in Access and Excel, and other data analysis software packages for a small sample of the tests Applies the tests under review in each chapter to the same purchasing card data from a government entity Includes interesting cases studies throughout that are linked to the tests being reviewed. Includes two comprehensive case studies where data analytics could have detected the frauds before they reached multi-million-dollar levels Includes a continually-updated companion website with the data sets used in the chapters, the queries used in the chapters, extra coverage of some topics or cases, end of chapter questions, and end of chapter cases. Written by a prominent educator and researcher in forensic accounting and auditing, the new edition of Forensic Analytics: Methods and Techniques for Forensic Accounting Investigations is an essential resource for forensic accountants, auditors, comptrollers, fraud investigators, and graduate students. |
| business analytics utd degree plan: Advanced Customer Analytics Mike Grigsby, 2016-10-03 Advanced Customer Analytics provides a clear guide to the specific analytical challenges faced by the retail sector. The book covers the nature and scale of data obtained in transactions, relative proximity to the consumer and the need to monitor customer behaviour across multiple channels. The book advocates a category management approach, taking into account the need to understand the consumer mindset through elasticity modelling and discount strategies, as well as targeted marketing and loyalty design. A practical, no-nonsense approach to complex scenarios is taken throughout, breaking down tasks into easily digestible steps. The use of a fictional retail analyst 'Scott' helps to provide accessible examples of practice. Advanced Customer Analytics does not skirt around the complexities of this subject but offers conceptual support to steer retail marketers towards making the right choices for analysing their data. Online resources include a selection of datasets to support specific chapters. |
| business analytics utd degree plan: Secure Data Science Bhavani Thuraisingham, Murat Kantarcioglu, Latifur Khan, 2022-04-27 Secure data science, which integrates cyber security and data science, is becoming one of the critical areas in both cyber security and data science. This is because the novel data science techniques being developed have applications in solving such cyber security problems as intrusion detection, malware analysis, and insider threat detection. However, the data science techniques being applied not only for cyber security but also for every application area—including healthcare, finance, manufacturing, and marketing—could be attacked by malware. Furthermore, due to the power of data science, it is now possible to infer highly private and sensitive information from public data, which could result in the violation of individual privacy. This is the first such book that provides a comprehensive overview of integrating both cyber security and data science and discusses both theory and practice in secure data science. After an overview of security and privacy for big data services as well as cloud computing, this book describes applications of data science for cyber security applications. It also discusses such applications of data science as malware analysis and insider threat detection. Then this book addresses trends in adversarial machine learning and provides solutions to the attacks on the data science techniques. In particular, it discusses some emerging trends in carrying out trustworthy analytics so that the analytics techniques can be secured against malicious attacks. Then it focuses on the privacy threats due to the collection of massive amounts of data and potential solutions. Following a discussion on the integration of services computing, including cloud-based services for secure data science, it looks at applications of secure data science to information sharing and social media. This book is a useful resource for researchers, software developers, educators, and managers who want to understand both the high level concepts and the technical details on the design and implementation of secure data science-based systems. It can also be used as a reference book for a graduate course in secure data science. Furthermore, this book provides numerous references that would be helpful for the reader to get more details about secure data science. |
| business analytics utd degree plan: The Analytics Edge Dimitris Bertsimas, Allison K. O'Hair, William R. Pulleyblank, 2016 Provides a unified, insightful, modern, and entertaining treatment of analytics. The book covers the science of using data to build models, improve decisions, and ultimately add value to institutions and individuals--Back cover. |
| business analytics utd degree plan: Local Governance in Africa Dele Olowu, James Stevenson Wunsch, 2004 An exploration of why some decentralization reforms have led to viable systems of local governance in Africa, while others have failed. It outlines the key issues involved, provides historical context, and identifies the factors that have encouraged or discouraged success. |
| business analytics utd degree plan: Taiwan's Political Re-Alignment and Diplomatic Challenges Wei-chin Lee, 2018-05-25 This edited volume investigates and evaluates the context, causes, and consequences of various essential issues in Taiwanese domestic politics and external relations before and after the regime change in 2016. It offers theoretical interpretation and temporal delineation of recent electoral shifts, party realignment, identity reformulation, and subsequent foreign policy adaptation in the 2010s. Contributors address these issues in three sections—“Democracy and New Political Landscape,” “The China Factor and Cross-Strait Dilemma,” and “Taiwan’s International Way-out”—to advance conclusions about Taiwan’s political transformation from both comparative and international perspectives. |
| business analytics utd degree plan: Operations Management for Social Good Adriana Leiras, Carlos Alberto González-Calderón, Irineu de Brito Junior, Sebastián Villa, Hugo Tsugunobu Yoshida Yoshizaki, 2019-10-14 This volume showcases the presentations and discussions delivered at the 2018 POMS International Conference in Rio. Through a collection of selected papers, it is possible to review the impact and application of operations management for social good, with contributions across a wide range of topics, including: humanitarian operations and crisis management, healthcare operations management, sustainable operations, artificial intelligence and data analytics in operations, product innovation and technology in operations management, marketing and operations management, service operations and servitization, logistics and supply chain management, resilience and risk in operations, defense, and tourism among other emerging Operations Management issues. The Production and Operations Management Society (POMS) is one of the most important and influential societies in the subject of Production Engineering and, as an international professional and academic organization, represents the interests of professionals and academics in production management and operations around the world. |
| business analytics utd degree plan: Spreadsheet Modeling and Decision Analysis Cliff T. Ragsdale, Lance Matheson, 1995 Valuable software, realistic examples, and fascinating topics . . . everything you need to master the most widely used management science techniques using Microsoft Excel is right here! Learning to make decisions in today's business world takes training and experience. Cliff Ragsdale--the respected innovator in the field of management science--is an outstanding guide to help you learn the skills you need, use Microsoft Excel for Windows to implement those skills, and gain the confidence to apply what you learn to real business situations. SPREADSHEET MODELING AND DECISION ANALYSIS gives you step-by-step instructions and annotated screen shots to make examples easy to follow. Plus, interesting sections called The World of Management Science show you how each topic has been applied in a real company. |
| business analytics utd degree plan: Exploring Universal Basic Income Ugo Gentilini, Margaret Grosh, Jamele Rigolini, Ruslan Yemtsov, 2019-11-25 Universal basic income (UBI) is emerging as one of the most hotly debated issues in development and social protection policy. But what are the features of UBI? What is it meant to achieve? How do we know, and what don’t we know, about its performance? What does it take to implement it in practice? Drawing from global evidence, literature, and survey data, this volume provides a framework to elucidate issues and trade-offs in UBI with a view to help inform choices around its appropriateness and feasibility in different contexts. Specifically, the book examines how UBI differs from or complements other social assistance programs in terms of objectives, coverage, incidence, adequacy, incentives, effects on poverty and inequality, financing, political economy, and implementation. It also reviews past and current country experiences, surveys the full range of existing policy proposals, provides original results from micro†“tax benefit simulations, and sets out a range of considerations around the analytics and practice of UBI. |
| business analytics utd degree plan: Computational Intelligence in Communications and Business Analytics Kousik Dasgupta, Somnath Mukhopadhyay, Jyotsna K. Mandal, Paramartha Dutta, 2023-11-29 This two-volume set constitutes the refereed proceedings of the 5th International Conference on Computational Intelligence in Communications and Business Analytics, CICBA 2023, held in Kalyani, India, during January 27–28, 2023. The 52 full papers presented in this volume were carefully reviewed and selected from 187 submissions. The papers present recent research on intersection of computational intelligence, communications, and business analytics, fostering international collaboration and the dissemination of cutting-edge research. |
| business analytics utd degree plan: Sprawlball Kirk Patrick Goldsberry, 2019 Beautifully illustrated and sharply written, SprawlBall is both a celebration and a critique of the 3-point shot. If you want to understand how the modern NBA came to be, you'll need to read this book. --Nate Silver, editor of fivethirtyeight.com From the leading expert in the exploding field of basketball analytics, a stunning infographic decoding of the modern NBA: who shoots where, and how. The field of basketball analytics has leaped to overdrive thanks to Kirk Goldsberry, whose visual maps of players, teams, and positions have helped teams understand who really is the most valuable player at any position. SprawlBall combines stunning visuals, in-depth analysis, fun, behind-the-scenes stories and gee-whiz facts to chart a modern revolution. From the introduction of the 3-point line to today, the game has changed drastically . . . Now, players like Steph Curry and Draymond Green are leading the charge. In chapters like The Geography of the NBA, The Interior Minister (Lebron James), The Evolution of Steph Curry, and The Investor (James Harden), Goldsberry explains why today's on-court product--with its emphasis on shooting, passing, and spacing--has never been prettier or more democratic. And it's never been more popular. For fans of Bill Simmons and FreeDarko, SprawlBall is a bold new vision of the game, presenting an innovative, cutting-edge look at the sport based on the latest research, as well as a visual and infographic feast for fans. |
| business analytics utd degree plan: An Introduction to Crime and Criminology Hennessey Hayes, Tim Prenzler, 2014-10-01 An Introduction to Crime & Criminology 4e, continues to bring together some of Australia’s most widely respected authorities on criminology. The text explores popular knowledge and understanding about crime, contrasting it with what we know about crime from official sources as well as from crime victims. The authors present and analyse the various ways that crime is defined and measured, the many and varied dimensions of crime, the broad range of theories offered to explain crime as well as some of the main ways governments and other agencies respond to and attempt to prevent crime. |
| business analytics utd degree plan: Maximizing Lead Generation Ruth Stevens, 2012 The Hands-On, Up-to-the-Minute Guide to Generating Better-Qualified, Quicker-to-Close B2B Leads! Lead generation is Job One: B2B marketers' single most important objective. Maximizing Lead Generation brings together everything you need to know to do it right. Fast-paced and 100% practical, it will help you achieve outstanding results in any B2B marketplace from enterprise technology to industrial equipment to professional services. World-renowned expert Ruth P. Stevens helps you bring science and systematization to all facets of lead generation, building on process, best practices, continuous testing, and ongoing improvement. You'll learn how to maximize the value of tried-and-true B2B tools and the newest social, web, and search technologies. Stevens offers indispensable insights for the entire lead lifecycle, including qualification, nurturing, measurement, and tracking. Organized for clarity, usability, and speed, this book will help you supercharge salesforce productivity and company profits. You'll Learn How To: · Develop and refine rules that consistently lead to higher-quality leads · Gain deeper insights into your customers and their buying processes · Build sophisticated, accurate marketing databases · Identify the media most likely to work for you · Execute highly effective campaigns · Drive huge ROI improvements · Use BANT and other qualification criteria · Apply new nurturing techniques to convert duds into diamonds · Track results and quantify the business value of campaigns · Utilize best practices content marketing and marketing automation · Integrate continuous improvement into lead generation · Discover 10 trends that will transform the way you prospect |
| business analytics utd degree plan: Ecommerce Evolved Tanner Larsson, 2016 Introduction -- The 12 core principles of ecommerce -- pt. I: Evolved strategy : Funnel-based ecommerce ; Recurring income core -- Think before you sell ; Conversion tricks, sales boosts, and profit maximizers -- pt. II: Evolved intelligence : Your target market ; Your competition ; Exploit your data -- pt. III: Evolved marketing : Advertising channels ; Front-end marketing ; Back-end marketing-- Final thoughts. |
| business analytics utd degree plan: Higher Education Opportunity Act United States, 2008 |
| business analytics utd degree plan: The Robot in the Next Cubicle Larry Boyer, 2018-08-07 This optimistic and useful look at the coming convergence of automation, robotics, and artificial intelligence, shows how we can take advantage of this revolution in the workplace, crafting robot-proof jobs and not fearing the robocalypse. It's called the Fourth Industrial Revolution--a revolution fueled by analytics and technology--that consists of data-driven smart products, services, entertainment, and new jobs. Economist and data scientist Larry Boyer lays out the wealth of exciting possibilities this revolution brings as well as the serious concerns about its disruptive impact on the lives of average Americans. Most important, he shows readers how to navigate this sea of change, pointing to strategies that will give businesses and individuals the best chance to succeed and providing a roadmap to thriving in this new economy. Boyer describes how future workers may have to think of themselves as entrepreneurs, marketing their special talents as valuable skills that machines cannot do. This will be especially important in the coming employment climate, when full-time jobs are likely to decrease and industries move toward contract-based employment. He provides guidelines for identifying your individual talents and pursuing the training that will make you stand out. He also shows you how to promote your personal brand to give more exposure to your unique skills. Whether we like it or not, automation will soon transform the work place and employment prospects. This book will show you how to look for and take advantage of the opportunities that this revolution presents. |
| business analytics utd degree plan: The Power of Visual Storytelling: How to Use Visuals, Videos, and Social Media to Market Your Brand Ekaterina Walter, Jessica Gioglio, 2014-03-07 Attention is the new commodity. Visual Storytelling is the new currency. Human brain processes visuals 60,000x faster than text. Web posts with visuals drive up to 180% more engagement than those without. Viewers spend 100% more time on web pages with videos. Filled with full-color images and thought-provoking examples from leading companies, The Power of Visual Storytelling explains how to grow your business and strengthen your brand by leveraging photos, videos, infographics, presentations, and other rich media. The book delivers a powerful road map for getting started, while inspiring new levels of creativity within organizations of all types and sizes. “This book is not only a complete overview of [visual storytelling] but, most importantly, the key to doing it right, a total Right Hook!” —Gary Vaynerchuk, New York Times bestselling author of Crush It! and Jab, Jab, Jab, Right Hook “A valuable guide to understanding how to develop powerful marketing programs using the art of visual storytelling.” —Guy Kawasaki, author of APE: Author, Publisher, Entrepreneur and former chief evangelist of Apple “The Power of Visual Storytelling is the new marketing bible!” —Nancy Bhagat, Vice President, Global Marketing Strategy and Campaigns, Intel “If a picture is worth a thousand words, The Power of Visual Storytelling is worth a million.” —Scott Monty, Global Digital & Multimedia Communications for Ford Motor Company |
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