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Business Risk Management : Models and Analysis
A comprehensive and accessible introduction to modern quantitative risk management. The business world is rife with risk and uncertainty, and risk management is a vitally important topic for managers.The best way to achieve a clear understanding of risk is to use quantitative tools and probability models. Written for students, this book has a quantitative emphasis but is accessible to those without a strong mathematical background. Business Risk Management: Models and Analysis Discusses novel modern approaches to risk managementIntroduces advanced topics in an accessible mannerIncludes motivating worked examples and exercises (including selected solutions)Is written with the student in mind, and does not assume advanced mathematicsIs suitable for self-study by the manager who wishes to better understand this important field. Aimed at postgraduate students, this book is also suitable for senior undergraduates, MBA students, and all those who have a general interest in business risk.
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Template Analysis for Business and Management Students
In Template Analysis, Nigel King and Joanna Brookes guide you through the origins of template analysis and its place in qualitative research, its basic components, and the main strengths and limitations of this method.Practical case studies and examples from published research then guide you through how to use it in your own research project. Ideal for Business and Management students reading for a Master’s degree, each book in the series may also serve as a reference book for doctoral students and faculty members interested in the method. Part of SAGE’s Mastering Business Research Methods, conceived and edited by Bill Lee, Mark N.K. Saunders and Vadake K. Narayanan and designed to support researchers by providing in-depth and practical guidance on using a chosen method of data collection or analysis.
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Business Analysis Agility : Delivering Value, Not Just Software
Understand and Solve Your Customers’ Real Problems with Agile Business Analysis To deliver real value, you must understand what your customers truly value, and solve the problems they really need solved.Business analysis can help you do this—and it’s as crucial in agile environments now as it always has been.In Business Analysis Agility, leading experts James Robertson and Suzanne Robertson show how to perform business analysis in an agile way: trying new things, adapting to changes and discoveries, staying flexible, and being quick.Drawing on their unsurpassed experience of hundreds of projects and organizations, the Robertsons help you prioritize relentlessly, focus investments on delivering value, and learn in ways that improve your results. Uncover the real customer problems hidden behind assumptions and conventional solutionsHypothesize potential solutions and quickly test them with safe-to-fail probesUnderstand how people, hardware, software, organizations, and other components come together in an optimal customer experienceWrite stories that help you find solutions that deliver more value to customers and the businessThink about problems and projects in more agile, nimble, and open-minded ways The Robertsons’ approach to analytical thinking will be valuable to anyone who wants to build better software in agile environments: analysts, developers, team leads, project managers, software architects, and other team members and stakeholders at all levels of experience.
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Using Conversation Analysis for Business and Management Students
In Using Conversation Analysis, David Greatbatch and Timothy Clark introduce the key elements of conversation analysis, an increasingly prominent form of business research analysis, which involves analysing audio and visual recordings of naturally occurring talk-in-interaction such as television speeches and interview exchanges, to see how meanings are constructed. Ideal for Business and Management students reading for a Master’s degree, each book in the series may also serve as reference books for doctoral students and faculty members interested in the method. Part of SAGE’s Mastering Business Research Methods Series, conceived and edited by Bill Lee, Mark N.K. Saunders and Vadake K. Narayanan and designed to support researchers by providing in-depth and practical guidance on using a chosen method of data collection or analysis.
Price: 30.99 £ | Shipping*: 0.00 £
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What are the journal entries for BWR (Business Management Analysis) explained simply?
The journal entries for BWR (Business Management Analysis) would typically include the following: 1. To record the initial investment in BWR, you would debit the Cash or Bank account and credit the BWR Equity account. 2. Any revenue earned from providing business management analysis services would be recorded by debiting the Cash or Accounts Receivable account and crediting the Service Revenue account. 3. Any expenses incurred in providing the business management analysis services, such as salaries, rent, or office supplies, would be recorded by debiting the respective expense accounts and crediting the Cash or Accounts Payable account. These journal entries help to accurately track the financial transactions related to BWR's business management analysis activities.
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Is there free AI software for image analysis?
Yes, there are several free AI software tools available for image analysis. Some popular options include TensorFlow, OpenCV, and scikit-image. These tools offer a wide range of capabilities for tasks such as image classification, object detection, and image segmentation. Users can leverage these free tools to develop and deploy AI models for various image analysis applications.
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Why is integrated business management standard software like the SAP system so successful?
Integrated business management standard software like the SAP system is successful because it offers a comprehensive solution for managing various business processes such as finance, human resources, supply chain, and customer relationship management. This integrated approach allows for seamless data flow and communication across different departments, leading to improved efficiency and decision-making. Additionally, the SAP system is highly customizable and scalable, allowing businesses to adapt and grow with their changing needs. Its widespread adoption and large user community also contribute to its success, as it provides a network of support and resources for users.
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How can one study data analysis and data management?
One can study data analysis and data management through a variety of methods. This can include enrolling in formal education programs such as a degree in data science, statistics, or computer science. Additionally, there are many online courses and tutorials available that cover data analysis and data management. Practical experience can also be gained through internships or working on real-world projects. It's important to continuously practice and apply the concepts learned through these methods to gain a deeper understanding of data analysis and data management.
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Software Requirements Essentials : Core Practices for Successful Business Analysis
20 Best Practices for Developing and Managing Requirements on Any Project Software Requirements Essentials presents 20 core practices for successful requirements planning, elicitation, analysis, specification, validation, and management.Leading requirements experts Karl Wiegers and Candase Hokanson focus on the practices most likely to deliver superior value for both traditional and agile projects, in any application domain.These core practices help teams understand business problems, engage the right participants, articulate better solutions, improve communication, implement the most valuable functionality in the right sequence, and adapt to change and growth. Concise and tightly focused, this book offers just enough pragmatic "how-to" detail for you to apply the core practices with confidence, whether you're a business analyst, requirements engineer, product manager, product owner, or developer.Using it, your entire team can build a shared understanding of key concepts, terminology, techniques, and rationales--and work together more effectively on every project. Learn how to: Clarify problems, define business objectives, and set solution boundariesIdentify stakeholders and decision makersExplore user tasks, events, and responsesAssess data concepts and relationshipsElicit and evaluate quality attributesAnalyze requirements and requirement sets, create models and prototypes, and set prioritiesSpecify requirements in a consistent, structured, and well-documented fashionReview, test, and manage change to requirements "I once read the ten best-selling requirements engineering books of the prior ten years.This one book succinctly presents more useful information than those ten books combined."--Mike Cohn, author of User Stories Applied and co-founder, Scrum Alliance "Diamonds come about when a huge amount of carbon atoms are compressed.Karl and Candase have done something very similar: they have compressed their vast requirements knowledge into 20 gems they call 'core practices.' These practices are potent stuff, and I recommend that they become part of everyone's requirements arsenal."--James Robertson, author of Mastering the Requirements Process and Business Analysis Agility "Long story short: if you are going to read only one requirements book, this is it.Software Requirements Essentials distills the wealth of information found in Software Requirements and many other texts down to twenty of the most important requirements activities that apply on nearly all projects.Today's busy BA simply doesn't have the time to read a lengthy instructive guide front-to-back.But they should find the time to read this book."--From the Foreword by Joy Beatty, COO, ArgonDigital "Software Requirements Essentials will be a high-value addition to your business analysis library.Anyone looking to improve their business analysis practices will find great practical advice they'll be able to apply immediately."--Laura Paton, Principal Consultant, BA Academy, Inc. Register your book for convenient access to downloads, updates, and/or corrections as they become available.See inside book for details.
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Business Analysis
Business analysis is a key discipline within business transformation projects.Too often business changes are introduced without such analysis, leading to failed projects, wasted investment and unnecessary business disruption.Effective business analysis enables greater project success, informed investment and beneficial business outcomes. Business Analysis describes the entire landscape for successful business change, explaining the range of services offered by business analysts, the lifecycles and approaches that may be applied, and the techniques that aid analytical thinking, visualisation and modelling.The new edition of this bestseller has been updated extensively to ensure that the guidance offered is highly practical and encompasses the latest developments within the business analysis profession. This is a seminal text for business analysts, helping them to develop their understanding and skills and enabling them to develop their business analysis careers.It is also a key text for anyone working in organisations, whether driving change initiatives or enabling successful change outcomes. This book is:A practical and informative text, enabling business analysis and other business change professionals to develop their key knowledge and skillsA readable and engaging journey through the business change lifecycle, the business analysis services and the toolkit required of a proficient business analystSupports the BCS Business Analysis Certification Portfolio
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Investments : Analysis and Management
Explains the essentials of investing and develops the analytical skills necessary for evaluating investment issues More than a simple introduction to the subject, Investments: Analysis and Management prepares students to tackle real-world investment problems and controversies using a systematic, highly practical approach.Emphasizing clarity and readability, authors Gerald Jensen and Tyler Jensen minimize complex formulas and simplify difficult material, enabling students of all levels and backgrounds to follow the entire discussion and further explore the subject.Carefully organized chapters guide students through fundamental investing concepts, portfolio theory, common stock analysis and valuation, fixed-income and derivative securities, the essentials of security analysis and portfolio management, and more.A full complement of classroom-tested pedagogical tools, including bulleted summaries, numbered examples, spreadsheet exercises, computational problems, and chapter review questions, supports and strengthens student comprehension and retention of all material covered.Fully revised and updated throughout, the fifteenth edition of Investments: Analysis and Management remains an ideal textbook for students with moderate business backgrounds taking an introductory investments course, business students working toward earning the CFA designation or an advanced degree in finance, and those wanting to learn about investments for their personal finances.
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Analysis for Financial Management ISE
Like its predecessors, the thirteenth edition of Analysis for Financial Management is for nonfinancial executives and business students interested in the practice of financial management.It introduces standard techniques and recent advances in a practical, intuitive way.This product assumes no prior background beyond a rudimentary and perhaps rusty familiarity with financial statements—although a healthy curiosity about what makes business tick is also useful.The emphasis throughout is on the managerial implications of financial analysis. Analysis for Financial Management should prove valuable to individuals interested in sharpening their managerial skills and to executive program participants.This product has also found a home in university classrooms as the sole text in Executive MBA and applied finance courses, as a companion text in case-oriented courses, and as a supplementary reading in more theoretical courses.
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What is the solution to an analysis problem?
The solution to an analysis problem involves carefully examining the data or information at hand, identifying patterns, relationships, or trends, and drawing meaningful conclusions or recommendations based on the findings. It often requires using various analytical tools, techniques, and methodologies to gain insights and make informed decisions. Additionally, the solution may involve presenting the analysis results in a clear and understandable manner to stakeholders, so they can take appropriate actions based on the findings. Ultimately, the solution to an analysis problem aims to provide valuable insights and support decision-making processes.
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What is the difference between Analysis I for Engineers and Analysis I for Business Economists?
Analysis I for Engineers typically focuses on mathematical concepts and techniques that are directly applicable to engineering problems, such as calculus, differential equations, and linear algebra. On the other hand, Analysis I for Business Economists may emphasize the application of mathematical tools to economic and business-related problems, such as optimization, decision theory, and statistical analysis. Additionally, the examples and exercises used in each course may be tailored to the specific needs and interests of the respective disciplines.
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What is the difference between Analysis I for Engineers and Analysis I for Business Students?
Analysis I for Engineers typically focuses on mathematical concepts and techniques that are directly relevant to engineering applications, such as calculus, differential equations, and linear algebra. On the other hand, Analysis I for Business Students may emphasize real-world applications of mathematical concepts in business settings, such as optimization, decision-making, and financial modeling. Additionally, Analysis I for Engineers may delve deeper into theoretical aspects of mathematics, while Analysis I for Business Students may prioritize practical problem-solving skills.
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Is there any free AI software for image analysis?
Yes, there are several free AI software tools available for image analysis. Some popular options include Google Cloud Vision API, Microsoft Azure Computer Vision, and IBM Watson Visual Recognition. These tools offer features such as object detection, facial recognition, and image classification, making them useful for a variety of image analysis tasks. Users can access these tools through APIs or cloud-based platforms for free or with limited usage restrictions.
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