Products related to Analysis:
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Sales Management : Analysis and Decision Making
This 11th edition of Sales Management continues the tradition of blending the most recent sales management research with the real-life "best practices" of leading sales organizations and sales professionals. Reflecting today’s emphasis on analytics and customer experience (CX), this edition focuses on the importance of employing different data-based selling strategies for different customer groups, as well as integrating corporate, business, marketing, and sales-level strategies and plans.Sales Management includes coverage of the current trends and issues in sales management, along with real-world examples from the contemporary business world that are used throughout the text to illuminate chapter discussions. The new 11th edition includes:Emphasis on data-driven decision making, ethics, the use of artificial intelligence, the customer experience, leadership, sales enablement technology, and new communication technologies;Updated end-of-chapter cases with application questions, along with skill-building experiential exercises with discovery investigations and focused role plays, which place students in the role of sales manager;Updated ethical dilemmas for students to practice ethical decision making;Revised ‘Sales Management in Action’ boxes;Multiple vignettes embedded in each chapter featuring sales management professionals and well-known companies discussing key topics from that chapter. This text is core reading for postgraduate, MBA, and executive education students studying sales management.An updated online instructor’s manual with solutions to cases and exercises, a revised test bank, and updated PowerPoints is available to adopters.
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Microsoft SQL Server 2019 Analysis Services (SSAS)
Course Description Analysis Services is a combination of two analytical engines (VertiPaq for multidimensional cubes and Data Mining and xVelocity for Tabular Data Models) used in decision support and business analytics. It provides enterprise-grade semantic data model capabilities for business intelligence (BI), data analysis, and reporting applications such as Power BI, Excel, Reporting Services, and other data visualization tools. This course provides a full introduction to the use of both of these engines in an enterprise environment. You will learn about creating cubes and their constituent components, the use of MDX to query the cubes, as well as how to customize a cube with KPI, actions, perspectives, and language translations. You will also learn about the differences and similarities between cubes and tabular data models, how to create a tabular data model, and the use of DAX to query the model.The third major component of the course is a form of Machine Learning called Data Mining. Data Mining is the analysis of large data set to reveal hidden patterns and trends. This course will teach you how to create a Data Mining solution, how to compare and validate different data mining options (models) for a given data set, and how to use your chosen model in a consumer-friendly client.Key Learning Topics In This Course You will learn about creating cubes and their constituent components The use of MDX to query the cubes How to customize a cube with KPI, actions, perspectives, and language translations. Differences and similarities between cubes and tabular data models, How to create a tabular data model The use of DAX to query the model. Course Video Content: 8 Hours 56 MinutesTest Questions: 75 Course Content Module 1 - Introduction to Business Intelligence and Data Modeling1.1 Course Introduction1.2 Module 1 Introduction1.3 Introduction to Business Intelligence1.4 The Microsoft Business Intelligence Platform1.5 Exploring a Data Warehouse1.6 Exploring a Data ModelModule 2 - Multidimensional Databases2.1 Module 2 Introduction2.2 Introduction to Multidimensional Analysis2.3 Overview of Cube Security2.4 Creating and Configuring a Cube2.5 Data Sources2.6 Data Source Views2.7 Adding a Dimension to a CubeModule 3 - Cubes and Dimensions3.1 Module 3 Introduction3.2 Dimensions3.3 Attribute Hierarchies and Relationships3.4 Sorting and Grouping Attributes3.5 Slowly Changing DimensionsModule 4 - Measures and Measure Groups4.1 Module 4 Introduction4.2 Measures4.3 Measure Groups and Relationships4.4 Measure Group StorageModule 5 - Introduction to MDX5.1 Module 5 Introduction5.2 MDX Fundamentals5.3 Adding Calculations to a Cube5.4 Querying a cube using MDXModule 6 - Customizing Cube Functionality6.1 Module 6 Introduction6.2 Key Performance Indicators6.3 Actions6.4 Perspectives6.5 TranslationsModule 7 - Tabular Data Models7.1 Module 7 Introduction7.2 Introduction to Tabular Data Models7.3 Creating a Tabular Data Model7.4 Configure Relationships and Attributes7.5 Configuring Data Model for an Enterprise BI SolutionModule 8 - Data Analysis Expressions (DAX)8.1 Module 8 Introduction8.2 DAX Fundamentals8.3 Calculated Columns8.4 Relationships8.5 Measures8.6 Time Intelligence8.7 KPI8.8 Parent - Child HierarchiesModule 9 - Data Mining9.1 Module 9 Introduction9.2 Overview of Data Mining9.3 Custom Data Mining Solutions9.4 Validating a Data Mining Model9.5 Consuming a Data Mining Model9.6 Course Wrap Up LEARN365 Courses Include 12 Months Unlimited Online Access to: Expert Instructor-Led Training: Learn 365 uses only the industry's finest instructors in the IT industry. They have a minimum of 15 years real-world experience and are subject matter experts in their fields. Unlike a live class, you can fast-forward, repeat or rewind all your lectures. This creates a personal learning experience and gives you all the benefit of hands-on training with the flexibility of doing it around your schedule 24/7. Visual Demonstrations andamp; Multimedia Presentations: Our courseware includes instructor-led demonstrations and visual presentations that allow students to develop their skills based on real world scenarios explained by the instructor. Learn 365 always focuses on real world scenarios and skill-set development. Quizzes andamp; Exam Simulators: Learn 365's custom practice exams prepare you for your exams differently and more effectively than the traditional exam preps on the market. You will have practice quizzes after each module to ensure you are confident on the topic you have completed before proceeding. This will allow you to gauge your effectiveness before moving to the next module in your course. Learn 365 courses also include practice exams designed to replicate and mirror the environment in the testing center. These exams are on average 100 questions to ensure you are 100% prepared before taking your certification exam. Need to train your Team? Contact Us for Discounts on Multiple Subscription Purchases.
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Digital Image Processing and Analysis : Computer Vision and Image Analysis
Computer Vision and Image Analysis, focuses on techniques and methods for image analysis and their use in the development of computer vison applications.The field is advancing at an ever increasing pace, with applications ranging from medical diagnostics to space exploration.The diversity of applications is one of the driving forces that make it such an exciting field to be involved in for the 21st century.This book presents a unique engineering approach to the practice of computer vision and image analysis, which starts by presenting a global model to help gain an understanding of the overall process, followed by a breakdown and explanation of each individual topic.Topics are presented as they become necessary for understanding the practical imaging model under study, which provides the reader with the motivation to learn about and use the tools and methods being explored. The book includes chapters on image systems and software, image analysis, edge, line and shape detection, image segmentation, feature extraction and pattern classification.Numerous examples, including over 500 color images are used to illustrate the concepts discussed.Readers can explore their own application development with any programming languages, including C/C++, MATLAB®, Python, and R, and software is provided for both the Windows/C/C++ and MATLAB®environments.The book can be used by the academic community in teaching and research, with over 700 PowerPoint Slides and a complete Solutions Manual to the over 150 included problems.It can also be used for self-study by those involved with developing computer vision applications, whether they are engineers, scientists or artists.The new edition has been extensively updated and includes numerous problems and programming exercises that will help the reader and student to develop their skills.
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Tabular Modeling in Microsoft SQL Server Analysis Services
With SQL Server Analysis Services 2016, Microsoft has dramatically upgraded its Tabular approach to business intelligence data modeling, making Tabular the easiest and best solution for most new projects.In this book, two world-renowned experts in Microsoft data modeling and analysis cover all you need to know to create complete BI solutions with these powerful new tools. Marco Russo and Alberto Ferrari walk you step-by-step through creating powerful data models, and then illuminate advanced features such as optimization, deployment, and scalability. Tabular Modeling in Microsoft SQL Server Analysis Services will be indispensable for everyone moving to Analysis Services Tabular, regardless of their previous experience with tabular-style models or with Microsoft's older Analysis Services offerings.It will also be an essential follow-up for every reader of the authors' highly-praised Microsoft SQL Server 2012 Analysis Services: The BISM Tabular Model.
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Is source analysis the same as text analysis?
Source analysis and text analysis are related but not the same. Source analysis involves examining the origin, context, and credibility of a source, while text analysis focuses on interpreting and understanding the content of a text itself. Source analysis helps determine the reliability and bias of a source, while text analysis delves into the meaning, structure, and language used in a text. Both are important in research and critical thinking, but they serve different purposes in analyzing information.
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Is dialog analysis the same as scene analysis?
Dialog analysis and scene analysis are not the same, although they are related. Dialog analysis focuses specifically on the spoken interactions between characters, examining the content, tone, and subtext of the conversations. On the other hand, scene analysis encompasses a broader view of the entire scene, including the setting, actions, and non-verbal communication in addition to the dialog. While dialog analysis is a part of scene analysis, scene analysis includes a more comprehensive examination of all elements within a particular scene.
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What is the analysis of the semen analysis?
The analysis of a semen analysis typically includes evaluating the volume of semen, sperm count, sperm motility, and sperm morphology. The volume of semen provides information about the amount of fluid produced by the male reproductive system. Sperm count measures the number of sperm present in the semen, while sperm motility assesses the movement and speed of the sperm. Sperm morphology examines the shape and structure of the sperm, looking for abnormalities that may affect fertility. Overall, the analysis provides important information about a man's fertility potential and can help identify any potential issues with sperm quality or quantity.
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What is the difference between a textual analysis, a scene analysis, and a narrative analysis?
A textual analysis focuses on the language and structure of a written text, examining the use of literary devices, themes, and symbolism. A scene analysis, on the other hand, zooms in on a specific segment of a film or play, analyzing the visual and auditory elements, character interactions, and the overall impact of the scene on the narrative. Narrative analysis, meanwhile, looks at the broader story structure, character development, and the way the plot unfolds over the course of the entire text. Each type of analysis offers a unique perspective on the text and allows for a deeper understanding of its meaning and impact.
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Computer Analysis of Framed Structures
Computer Analysis of Framed Structures aims at developing the skills of basic knowledge of computer programming combined with structural analysis.It does this by presenting the concept of computer modeling of real-life structures by focusing on modern matrix method of analysis along with the use of computer codes in C language.This book would also help in making the use of various civil and mechanical engineering software’s like STAAD, Pro, SAP, ADINA, ANSYS, NISA and STRAP for computer-aided designing of structures easy.
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Community Nursing Services in England : An Historical Policy Analysis
This open access book provides an historical account of the ways in which community nursing services in England have been shaped by policy changes, from the inception of the NHS in 1948 to the present day.Focusing on policies regarding the organisation and provision of community nursing services, it offers an important assessment of how community nursing has evolved under successive governments.The book also provides reflections on how historic policies have influenced the service of today, and how lessons learnt from the past can inform organisation and delivery of current and future community nursing services.It is an important resource for those researching community nursing and health services, as well as practitioners and policy makers.
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Equivalence in Financial Services : A Legal and Policy Analysis
Equivalence in Financial Services offers a comprehensive and cross-industry examination of the rules and procedures under EU financial legislation dedicated to third-country market actors.The equivalence regime has become particularly topical after Brexit, as the United Kingdom is now a third country from the perspective of the European Union.This book investigates whether the current equivalence system is fit for its purpose, namely facilitating cross-border finance while minimizing as extensively as possible financial risks. After describing how the European Commission adopts equivalence measures, the book examines the implementation of the equivalence regime for the following entities: Credit Rating Agencies, Benchmarks, Trading Venues, Investment Firms, Investment Funds, Central Securities Depositories, Trade Repositories, and Central Counterparties.Addressing the most recent policy and legal developments, Equivalence in Financial Services provides aninsightful guide into this complex area of financial regulation for scholars of financial regulation, legal practitioners, and policy makers.
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Empathic Service Design : Challenges in design, analysis and services
Through case studies from across the globe, this book helps designers understand how forward-looking service prototyping, analysis and tools can promote and create empathic, emotion-oriented and relevant services. Despite services being at the core of organisations, to create service flows, designers, groups and their diverse stakeholders must negotiate ever more complex and hybrid interactions between human and more-than-human role players in service delivery.The challenge lies in delivering empathic, relevant and desirable services, despite these complexities.New knowledge is needed to bridge the gaps, uncertainties and even anxieties that organisations face in making their service delivery empathic and keeping them purposeful to users. Addressing problems within service delivery like empathy fatigue, poor collaboration, and siloed work experiences that lead to poorly-functioning systems, the authors suggest concrete solutions for developing empathetic approaches and tools with consideration for the needs of participants. The book critically examines the role of empathy, and explores how compassionate understanding of the end-user is key to success. Case studies include mapping of children's services, wearable technologies for pandemics, understanding cultural sensitivity, emojis and chat bots, and AI used in care settings.
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What is the difference between Analysis and Higher Analysis?
Analysis is the branch of mathematics that deals with limits, continuity, derivatives, integrals, and infinite series. It is a fundamental area of mathematics that is essential for understanding calculus and other advanced mathematical concepts. Higher Analysis, on the other hand, refers to more advanced topics within the field of analysis, such as functional analysis, complex analysis, and harmonic analysis. These areas delve deeper into the study of functions, spaces, and structures, and often involve more abstract and complex mathematical techniques.
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Is source analysis the same as factual text analysis?
Source analysis and factual text analysis are related but not the same. Source analysis involves evaluating the credibility, bias, and perspective of the source of information, while factual text analysis focuses on examining the content of the text for accuracy and reliability of the information presented. Source analysis helps determine the trustworthiness of the information, while factual text analysis assesses the content itself. Both are important in critically evaluating information, but they involve different aspects of analysis.
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What is the difference between Analysis and Advanced Analysis?
Analysis typically involves examining data or information to understand its components, structure, and meaning. Advanced Analysis, on the other hand, involves a more in-depth and complex examination of data using sophisticated techniques and tools. It often requires a higher level of expertise and specialized knowledge to uncover deeper insights, patterns, and trends that may not be easily visible through traditional analysis methods. Advanced Analysis may also involve predictive modeling, machine learning, or other advanced statistical techniques to extract valuable insights from data.
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What is functional analysis and level analysis in music?
Functional analysis in music refers to the study of how different musical elements such as harmony, melody, rhythm, and form work together to create a cohesive and expressive musical structure. It involves analyzing the function of each element within a piece of music and how they contribute to the overall musical meaning and emotional impact. Level analysis, on the other hand, involves examining the different hierarchical levels of musical structure, such as the phrase, section, movement, and entire composition. It focuses on understanding how these levels interact and contribute to the overall organization and coherence of the music. Both functional analysis and level analysis are important tools for music scholars and performers to understand the inner workings of a piece of music and to interpret and perform it effectively.
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