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Statistical Process Control for Managers is an eight-chapter book published by Business Expert Press in 2014 and written by Victor E. Sower, professor emeritus of operations management at Sam Houston State University. The book provides a conceptual approach to using statistical process control (SPC) to inform and improve decision-making around business processes and quality improvement. The author reviews the basic methods of SPC and provides practical guidance for using specific tools. He incorporates real-world examples throughout the book and ends each chapter with a summary of key points, as well as questions for managers to ask when applying the concepts to their own organizations. In Chapter 3, Introduction to Control Charts (20 pages), the author demonstrates how to read and create a map of a business process. Using an individual control chart (I-chart), he explains the chart elements and how software programs can be used to create them. He explains how to determine whether or not a process is in control by analyzing patterns on a control chart and reviews single point rules, run rules, and zone rules, as well as nonrandom patterns. He offers insight on how to react to a process out of control by creating and implementing an action plan.

Statistical Process Control for Managers is an eight-chapter book published by Business Expert Press in 2014 and written by Victor E. Sower, professor emeritus of operations management at Sam Houston State University. The book provides a conceptual approach to using statistical process control (SPC) to inform and improve decision-making around business processes and quality improvement. The author reviews the basic methods of SPC and provides practical guidance for using specific tools. He incorporates real-world examples throughout the book and ends each chapter with a summary of key points, as well as questions for managers to ask when applying the concepts to their own organizations. Chapter 4, Basic Control Charts for Variables (14 pages), provides an overview of the different charts that can be used to analyze continuous measurement information such as height, weight, and length. The author reviews the utility of different charts depending on the type of data sample. He also explains how charts are used in pairs to assess both the changes in process average and process variation (e.g. I- and MR charts, the X-bar and R-charts, and the X-bar and S-charts). The chapter includes a guide to determining which chart type to use.

Statistical Process Control for Managers is an eight-chapter book published by Business Expert Press in 2014 and written by Victor E. Sower, professor emeritus of operations management at Sam Houston State University. The book provides a conceptual approach to using statistical process control (SPC) to inform and improve decision-making around business processes and quality improvement. The author reviews the basic methods of SPC and provides practical guidance for using specific tools. He incorporates real-world examples throughout the book and ends each chapter with a summary of key points, as well as questions for managers to ask when applying the concepts to their own organizations. Chapter 5, Advanced Control Charts for Variables (10 pages), expands on the concepts in the previous chapter by reviewing additional tools to use in specific process scenarios. The first tool is a delta control chart for short production runs that may not provide sufficient data samples. The second tool is an exponentially weighted moving average (EWMA) chart when facing a short-term variance. The third method is adapting X-bar charts, R-charts, S-charts, and delta charts when the sample size varies. For each method, the author provides a basic explanation of the tool and example of how to apply it in decision-making. There is a chart at the end of the chapter to guide how to select the appropriate method for the process.

Statistical Process Control for Managers is an eight-chapter book published by Business Expert Press in 2014 and written by Victor E. Sower, professor emeritus of operations management at Sam Houston State University. The book provides a conceptual approach to using statistical process control (SPC) to inform and improve decision-making around business processes and quality improvement. The author reviews the basic methods of SPC and provides practical guidance for using specific tools. He incorporates real-world examples throughout the book and ends each chapter with a summary of key points, as well as questions for managers to ask when applying the concepts to their own organizations. Chapter 6, Control Charts for Attributes (13 pages), looks at methods for measuring go/no-go or count information such as the number of defective units overall, or number of customer complaints received. The author compares and contrasts four methods to use depending on what is being counted, defective products or defects in products. First, he looks at the utility of the proportion defective control chart (p-chart) and number-defective control chart (np-chart), reviewing the pros and cons for each. Second, he offers a similar analysis of the count chart (c-chart) and count chart per unit, (u-chart). There is a chart at the end of the chapter to guide how to select the appropriate method for the process.

Statistical Process Control for Managers is an eight-chapter book published by Business Expert Press in 2014 and written by Victor E. Sower, professor emeritus of operations management at Sam Houston State University. The book provides a conceptual approach to using statistical process control (SPC) to inform and improve decision-making around business processes and quality improvement. The author reviews the basic methods of SPC and provides practical guidance for using specific tools. He incorporates real-world examples throughout the book and ends each chapter with a summary of key points, as well as questions for managers to ask when applying the concepts to their own organizations. In Chapter 7, Process Capability (14 pages), the author explores methods for process improvement depending on whether there is a specified target value. He considers the importance of both process control and capability, and reviews measurement methods for both variable and attribute data. He looks at appropriate uses of process capability indices and process indices, with examples for both double-sided and single-sided specifications. He also examines adaptations for using process capability with non-normal Distributions. He reviews the methods for measuring attribute data, such as PPM and sigma notation.

Statistical Process Control for Managers is an eight-chapter book published by Business Expert Press in 2014 and written by Victor E. Sower, professor emeritus of operations management at Sam Houston State University. The book provides a conceptual approach to using statistical process control (SPC) to inform and improve decision-making around business processes and quality improvement. The author reviews the basic methods of SPC and provides practical guidance for using specific tools. He incorporates real-world examples throughout the book and ends each chapter with a summary of key points, as well as questions for managers to ask when applying the concepts to their own organizations. Chapter 8, SPC in Service Industries (18 pages), considers the differences in using SPC in the service industry rather than manufacturing. The author explains the challenges in assessing service quality control and the fact that there are no universal standards. He provides guidance on how to asses a service scenario and, thus determine which control chart(s) to use. He provides real-world examples from hospitals, retail, and finance.

Pick a Number: Internationalizing U.S. Accounting is a six-chapter book published by Business Expert Press in 2014 and written by Roger Hussey, former Dean of the Odette School of Business at the University of Windsor, and Audra Ong, Associate Professor of Accounting at the Odette School of Business at the University of Windsor. In this book, the authors explain how accounting rules can impact a business's financial statements and why the lack of global regulations can pose problems for business. They review how standards are set, the progress and obstacles in establishing international standards, and the differences in US accounting versus international. They explain how the Unites States has been involved in the international process and provide insight on the overall US strategy towards international accounting standards. In Chapter 1, U.S. Accounting Regulation, the authors outline the impact of accounting standards on a business's financial information and review the regulatory framework that governs these standards. They review core accounting concepts, such as Business Entity, Consistency, and Matching. They look at how companies find loopholes in standards that lead to fraudulent action and provide several real-world examples. They explain the formation and organization of the Securities and Exchange Commission (SEC), list common activities that lead to an investigation by the SEC, and review the criteria for required documents from businesses. They provide similar information for the Financial Standards Accounting Board (FSAB), as well as an overview of the standards setting process. They review the financial information required from a business, such as a Form 10K and annual report.

Pick a Number: Internationalizing U.S. Accounting is a six-chapter book published by Business Expert Press in 2014 and written by Roger Hussey, former Dean of the Odette School of Business at the University of Windsor, and Audra Ong, Associate Professor of Accounting at the Odette School of Business at the University of Windsor. In this book, the authors explain how accounting rules can impact a business's financial statements and why the lack of global regulations can pose problems for business. They review how standards are set, the progress and obstacles in establishing international standards, and the differences in US accounting versus international. They explain how the Unites States has been involved in the international process and provide insight on the overall US strategy towards international accounting standards. Chapter 2, The Move Toward International Accounting, reviews the development of accounting standards adopted by multiple companies. The authors argue the importance of international standards by reviewing the development of national standards in Australia, Canada, and the United Kingdom. They look at different influences on a nation's accounting standards, such as taxes, stock exchanges, and culture. They explore the development of the International Accounting Standards Committee (IASC), its original objectives and the inherent problems, and subsequent creation of the International Accounting Standards Board (IASB). They outline the IASB's 6-step standard setting process and system for enforcing regulations. They consider the progress of international standards and cite common issues as well as advantages. The chapter ends with analysis of the Council of Institutional Investors research on requirements for the US to adopt the international standards.

Pick a Number: Internationalizing U.S. Accounting is a six-chapter book published by Business Expert Press in 2014 and written by Roger Hussey, former Dean of the Odette School of Business at the University of Windsor, and Audra Ong, Associate Professor of Accounting at the Odette School of Business at the University of Windsor. In this book, the authors explain how accounting rules can impact a business's financial statements and why the lack of global regulations can pose problems for business. They review how standards are set, the progress and obstacles in establishing international standards, and the differences in US accounting versus international. They explain how the Unites States has been involved in the international process and provide insight on the overall US strategy towards international accounting standards. Chapter 3, The U.S. Engagement, provides a brief history of how the Unites States has forged a position in international standard setting. The authors review key moments in how the United States developed a path of convergence rather than acceptance, including analysis of the Norwalk Agreement and why the authors believe it was not successful. They frame the issues around the internationalization of accounting regulations by outlining the viewpoints of five key groups: regulatory bodies, United States corporates, foreign listers, investors, and accounting professionals. They also examine the issues around defining high-quality standards and argue that the Unites States will not fully adopt the International Accounting Standards Board's (IASB) regulations.

Pick a Number: Internationalizing U.S. Accounting is a six-chapter book published by Business Expert Press in 2014 and written by Roger Hussey, former Dean of the Odette School of Business at the University of Windsor, and Audra Ong, Associate Professor of Accounting at the Odette School of Business at the University of Windsor. In this book, the authors explain how accounting rules can impact a business's financial statements and why the lack of global regulations can pose problems for business. They review how standards are set, the progress and obstacles in establishing international standards, and the differences in US accounting versus international. They explain how the Unites States has been involved in the international process and provide insight on the overall US strategy towards international accounting standards. Chapter 4, Successes and Failures (22 pages), describes the last decade of progress towards international accounting standards. It analyzes examples of successful changes made to standards, such as politics, legislation, and technical accounting considerations. The authors review the Sarbannes-Oxley (SOX) Act of 2002, FASB statements on Share-Based Payments, inventory closure calculations, and intangible assets and goodwill. They review the differences that remain regarding share-based payments, inventory, and goodwill. They end the chapter by looking at three studies that compare United States GAAP and International Financial Reporting Standards (IFRS).

Pick a Number: Internationalizing U.S. Accounting is a six-chapter book published by Business Expert Press in 2014 and written by Roger Hussey, former Dean of the Odette School of Business at the University of Windsor, and Audra Ong, Associate Professor of Accounting at the Odette School of Business at the University of Windsor. In this book, the authors explain how accounting rules can impact a business's financial statements and why the lack of global regulations can pose problems for business. They review how standards are set, the progress and obstacles in establishing international standards, and the differences in US accounting versus international. They explain how the Unites States has been involved in the international process and provide insight on the overall US strategy towards international accounting standards. In Chapter 5, The Disagreements, the authors examine three of the four current joint projects between the Financial Accounting Standards Board (FASB) and International Accounting Standards Board (IASB) to reconcile differences on critical issues. These project topics are revenue recognition, accounting for leases, and financial instruments. They provide a detailed summary of each issue, explain the major differences between the two viewpoints, and explore how progress on each project could impact the ultimate success of the ongoing discussions.

Pick a Number: Internationalizing U.S. Accounting is a six-chapter book published by Business Expert Press in 2014 and written by Roger Hussey, former Dean of the Odette School of Business at the University of Windsor, and Audra Ong, Associate Professor of Accounting at the Odette School of Business at the University of Windsor. In this book, the authors explain how accounting rules can impact a business's financial statements and why the lack of global regulations can pose problems for business. They review how standards are set, the progress and obstacles in establishing international standards, and the differences in US accounting versus international. They explain how the Unites States has been involved in the international process and provide insight on the overall US strategy towards international accounting standards. In Chapter 6, The End and the Beginning (pages), the authors review the basic differences between the FASB and the IASB. They highlight the different foundations in assumptions and concepts between the organizations: one uses a rules-based approach and the other uses a principles-based approach. They compare the two approaches, using leasing as an example. They also analyze the differences in each group's conceptual framework and work done to attempt convergence, and provide similar overviews on the business entity concept and regulatory acceptance. The chapter ends with an examination of the internationalization options open to the United States, a summary of scenarios, and the argument that the US will most likely remain a separate entity.

Dynamic Customer Strategy: Today's CRM is a 10-chapter book published in 2014 by the Business Expert Press and written by Jeff Tanner, Jr., Professor of Marketing and Associate Dean of Faculty Development and Research at the Hankamer School of Business at Baylor University. In this book, the author explains how business leaders can capitalize on "Big Data," or the infinite customer information available in today's technology-based business environment. He provides a model for competitive advantage and maximized marketing performance through Dynamic Customer Strategy (DCS), an approach to understanding and utilizing Big Data. He includes real-world examples throughout the book and offers practical advice and discussion questions for both practitioners and students. In Chapter 1, Big Data and Dynamic Customer Strategy (19 pages), the author explains the foundation of his strategic model. He reviews the range of customer information from interaction to purchasing, and considers the volume, variety, and velocity of data. He explains how to work with and plan for big data through DCS and outlines the benefits of this approach, such as creating a shared organizational understanding of the business model. He illustrates a successful DCS with a real world example of how the retailer Cabela's increased the purchase follow-through of online customers. He also explores the technology required to implementing DCS and two common obstacles, the data itself and employee mindset.

Dynamic Customer Strategy: Today's CRM is a 10-chapter book published in 2014 by the Business Expert Press and written by Jeff Tanner, Jr., Professor of Marketing and Associate Dean of Faculty Development and Research at the Hankamer School of Business at Baylor University. In this book, the author explains how business leaders can capitalize on "Big Data," or the infinite customer information available in today's technology-based business environment. He provides a model for competitive advantage and maximized marketing performance through Dynamic Customer Strategy (DCS), an approach to understanding and utilizing Big Data. He includes real-world examples throughout the book and offers practical advice and discussion questions for both practitioners and students. Chapter 2, The Elements of Dynamic Customer Strategy (11 pages), explains that developing strong strategy begins with understanding good theory. The author defines the main components of a theory, such as conceptual definitions of end goals, relationships between variables, and the conditions dictated by environmental variables. He says that DCS is based on understanding market factors and the relationship between them. Decision-making requires business managers to isolate the effects of each variable, including the correlation, chronology, and causality of the relationships between variables. This process also requires managers to (eliminate) variables that are not relevant. The author explains how control can be achieved through experimentation or statistics and illustrates these concepts in an analysis of how Target Corporation used customer transaction data to identify future purchase interests.

Dynamic Customer Strategy: Today's CRM is a 10-chapter book published in 2014 by the Business Expert Press and written by Jeff Tanner, Jr., Professor of Marketing and Associate Dean of Faculty Development and Research at the Hankamer School of Business at Baylor University. In this book, the author explains how business leaders can capitalize on "Big Data," or the infinite customer information available in today's technology-based business environment. He provides a model for competitive advantage and maximized marketing performance through Dynamic Customer Strategy (DCS), an approach to understanding and utilizing Big Data. He includes real-world examples throughout the book and offers practical advice and discussion questions for both practitioners and students. In Chapter 3, Making Sense of Big Data (13 pages), the author examines the importance of developing a data strategy. He explains that companies often make misleading assumptions about data that send managers down the wrong decision making path. He defines data traps, such as assuming that all customers are alike, and how a proper data strategy can help companies avoid these mistakes. He outlines a four-step model for creating a data strategy: acquire the right data for the decisions to be made, analyze appropriately, apply¬ the knowledge operationally, and assess the data and the process. He considers different types of data needed: transactional, demographic, motivational, and lifestyle, among others. He highlights the use of a successful data strategy with the real-world example of Gallery Furniture.

Dynamic Customer Strategy: Today's CRM is a 10-chapter book published in 2014 by the Business Expert Press and written by Jeff Tanner, Jr., Professor of Marketing and Associate Dean of Faculty Development and Research at the Hankamer School of Business at Baylor University. In this book, the author explains how business leaders can capitalize on "Big Data," or the infinite customer information available in today's technology-based business environment. He provides a model for competitive advantage and maximized marketing performance through Dynamic Customer Strategy (DCS), an approach to understanding and utilizing Big Data. He includes real-world examples throughout the book and offers practical advice and discussion questions for both practitioners and students. In Chapter 4, Operationalizing Strategy (12 pages), the author explains how to translate theoretical concepts into measurable marketing actions. The first step is to articulate the operational definitions that will be used to guide and measure actions. For example, there must be a definition of what makes a lead qualified-number of website visits, previous purchase, etc.-and everyone in the company must share this understanding. These definitions help to focus attention on the relevant aspects of big data. The author also outlines the common obstacles in making good decisions with big data, such as moving too fast, misinterpreting numbers, and mistrusting data. He presents an example of a how Random House used data to successfully change their strategy. He explains how to use decision rules as a way to put definitions into action.

Dynamic Customer Strategy: Today's CRM is a 10-chapter book published in 2014 by the Business Expert Press and written by Jeff Tanner, Jr., Professor of Marketing and Associate Dean of Faculty Development and Research at the Hankamer School of Business at Baylor University. In this book, the author explains how business leaders can capitalize on "Big Data," or the infinite customer information available in today's technology-based business environment. He provides a model for competitive advantage and maximized marketing performance through Dynamic Customer Strategy (DCS), an approach to understanding and utilizing Big Data. He includes real-world examples throughout the book and offers practical advice and discussion questions for both practitioners and students. In Chapter 5, Acquiring Big (and Little) Data (14 pages), the author explains how to make data usable. The most important step, he says, is to know what data will inform decision-making. He recommends a Data Assets Inventory, which is a matrix of data variables and sources, to manage the data. He explains the criteria for judging data quality: accuracy and precision. He considers data variety, volume, and velocity and how technology enables companies to link varied data sources for new and innovative outcomes. He presents a real world example from JC Penney about asking for customer data and presents different methods of customer profiling. He also explains that, after acquiring the data, a company must go through the process of data cleaning and definition to prepare for analysis.

Dynamic Customer Strategy: Today's CRM is a 10-chapter book published in 2014 by the Business Expert Press and written by Jeff Tanner, Jr., Professor of Marketing and Associate Dean of Faculty Development and Research at the Hankamer School of Business at Baylor University. In this book, the author explains how business leaders can capitalize on "Big Data," or the infinite customer information available in today's technology-based business environment. He provides a model for competitive advantage and maximized marketing performance through Dynamic Customer Strategy (DCS), an approach to understanding and utilizing Big Data. He includes real-world examples throughout the book and offers practical advice and discussion questions for both practitioners and students. In Chapter 6, Analytics for the Rest of Us (14 pages), the author considers the relationship between data and decision-making, highlighting the importance of selecting the right statistical analysis. He reviews different types of analytics, including research, reporting, and affinity, and expands his previous discussion of the characteristics of good data to include metric versus non-metric data, distribution of the data, and unstructured data. He provides a real-world example of how the online retailer Gilt Groupe used big data to segment customers and tailor sales offers. He analyzes methods for measuring the impact of marketing messages and channels through techniques such as attribution models and sequential basket analysis.

Dynamic Customer Strategy: Today's CRM is a 10-chapter book published in 2014 by the Business Expert Press and written by Jeff Tanner, Jr., Professor of Marketing and Associate Dean of Faculty Development and Research at the Hankamer School of Business at Baylor University. In this book, the author explains how business leaders can capitalize on "Big Data," or the infinite customer information available in today's technology-based business environment. He provides a model for competitive advantage and maximized marketing performance through Dynamic Customer Strategy (DCS), an approach to understanding and utilizing Big Data. He includes real-world examples throughout the book and offers practical advice and discussion questions for both practitioners and students. In Chapter 7, Turning Models Into Customers (15 pages), the author outlines three steps for putting knowledge into practice. The first is to simplify the operational model to enable employees to capture key data and respond accordingly and quickly. He explains how to use personas to guide frontline employees on how to react to typical customer types both at the market level to guide decisions about the marketing mix and at the customer level to individualize customer experience. The second step is to map customer conversations to understand the customer decision process and identify opportunities for effective marketing. The author illustrates the value of both market and consumer level DCS through an analysis of Maybank. The third step is to move customers to the next stage of the purchase process, or convert them, in a profitable way by testing approaches and learning from their outcomes. He reviews two "test and learn" methods, attribution modeling and experimental design.

Dynamic Customer Strategy: Today's CRM is a 10-chapter book published in 2014 by the Business Expert Press and written by Jeff Tanner, Jr., Professor of Marketing and Associate Dean of Faculty Development and Research at the Hankamer School of Business at Baylor University. In this book, the author explains how business leaders can capitalize on "Big Data," or the infinite customer information available in today's technology-based business environment. He provides a model for competitive advantage and maximized marketing performance through Dynamic Customer Strategy (DCS), an approach to understanding and utilizing Big Data. He includes real-world examples throughout the book and offers practical advice and discussion questions for both practitioners and students. Chapter 8, Of Metrics and Models (17 pages), considers the use of data analysis in marketing models. The author reviews basic metrics and provides a model for data monitoring in three steps. The first is to decide what to monitor. The second is to identify the tolerance range (the appropriate range of variance in results). The third is to create a reporting or display system that provides for meaningful comparison and monitoring. He looks at different display types (such as statistic, real-time, conventional, and structured) and offers insight on how to determine the best method. He outlines assumptions in the decision-making process and provides three recommendations for decision-making. First, identify the assumptions underlying the data. Second, create metrics that fit the decision at hand. And, third, include statistics in the decision-making process. He illustrates the successful use of metrics through the example of Royal Bank of Canada.