Advertisement
| analytical techniques in business: Business Analysis Techniques James Cadle, Debra Paul, Paul Turner, 2014 The development of business analysis as a professional discipline has extended the role of the business analyst who now needs the widest possible array of tools and the skills and knowledge to be able to use each when and where it is required. This new edition provides 99 possible techniques and practical guidance on how and when to apply them. |
| analytical techniques in business: Business Analysis Techniques James Cadle, Debra Paul, Jonathan Hunsley, Adrian Reed, David Beckham, Paul Turner, 2021-08-16 The development of business analysis as a professional discipline has extended the role of the business analyst who now needs the widest possible array of tools and the skills and knowledge to be able to use each when and where it is required. This new edition provides 123 possible techniques and practical guidance on how and when to apply them. |
| analytical techniques in business: Business Analysis Techniques James Cadle, Debra Paul, Paul Turner, 2010 The development of business analysis as a professional discipline has extended the role of the business analyst who now needs the widest possible array of tools and the skills and knowledge to be able to use each when and where it is needed. This book provides 72 possible techniques and applies them within a framework of stages. |
| analytical techniques in business: Business Analyst's Mentor Book Emrah Yayici, 2013-07-22 Business Analyst's Mentor Book includes tips and best practices in a broad range of topics like: Business analysis techniques and tools Agile and waterfall methodologies Scope management Change request management Conflict management Use cases UML Requirements gathering and documentation User interface design Usability testing Software testing Automation tools Real-life examples are provided to help readers apply these best practices in their own IT organizations. The book also answers the most frequent questions of business analysts regarding software requirements management. |
| analytical techniques in business: Business and Competitive Analysis Craig S. Fleisher, Babette E. Bensoussan, 2007 Resource for companies to improve strategic planning and ensure they are implementing effective corporate strategy. bull; Presents a comprehensive range of methods to analyse the tools that analyse business, competitive data, and market information. bull; Consistent approach and detailed instructions allow for readers to implement strategy quickly and effectively. bull; Management consultants and strategy departments can use this book to make a case for the most effective method to apply to any problem. |
| analytical techniques in business: Strategic and Competitive Analysis Craig S. Fleisher, Babette E. Bensoussan, 2003 For Strategic Management courses. This book examines the techniques involved in analyzing business and competitive data and information including environmental analysis, industry analysis, competitor analysis, and temporal analysis models. |
| analytical techniques in business: Business Analysis Defined Thomas and Angela Hathaway, 2014-03-01 WHAT IS THIS BOOK ABOUT? Business Analysis in the Real World A Buddhist proverb warns, “Be mindful of intention. Intention is the seed that creates our future.” In a very real sense, this statement expresses the reason for business analysis. This discipline is really all about choosing and defining a desired future because without intention (expressed in business analysis terms, “requirements”), no future is more or less desirable than another. In reality, every organization does some form of business analysis whether it uses the term or not. For many (especially larger organizations), it is an extremely structured, managed process while others thrive on change and only do business analysis when and as needed. The perception that business analysis is only needed to develop IT solutions is inaccurate. Actually, it is a critical component of any change initiative within an organization whether software is involved or not. Current Business Analysis Techniques and Methods The book defines how business analysis is currently practiced. The authors provide insight into this fast-growing field by distinguishing strategic, tactical, and operational business analysis. It provides surveys of what Business Analysts really do and what business analysis techniques people use most often when they are the one “wearing the BA hat”. You will learn what “requirements” really are and what different types of requirements exist. Because many requirements define future information technology (IT) solutions, the authors share their experience on how Waterfall, Iterative, Agile, and Experimental (aka “Chaotic”) Software Development methodologies impact the business analysis responsibility. Who Needs Business Analysis Skills? Although the field of Business Analysis offers great career opportunities for those seeking employment, some level of business analysis skill is essential for any adult in the business world today. Many of the techniques used in the field evolved from earlier lessons learned in systems analysis and have proven themselves to be useful in every walk of life. We have personally experienced how business analysis techniques help even in your private life. We wrote this book for everyday people in the real world to give you a basic understanding of some core business analysis methods and concepts. If this book answers some of your questions, great. If it raises more questions than it answers (implying that it piqued your curiosity), even better. If it motivates you to learn more about this emerging and fascinating topic, it has served its purpose well. WHO WILL BENEFIT FROM READING THIS BOOK? Many distinct roles or job titles in the business community perform business needs analysis for digital solutions. They include: - Product Owners - Business Analysts - Requirements Engineers - Test Developers - Business- and Customer-side Team Members - Agile Team Members - Subject Matter Experts (SME) - Project Leaders and Managers - Systems Analysts and Designers - AND “anyone wearing the business analysis hat”, meaning anyone responsible for defining a future digital solution TOM AND ANGELA’S (the authors) STORY Like all good IT stories, theirs started on a project many years ago. Tom was the super techie, Angela the super SME. They fought their way through the 3-year development of a new policy maintenance system for an insurance company. They vehemently disagreed on many aspects, but in the process discovered a fundamental truth about IT projects. The business community (Angela) should decide on the business needs while the technical team’s (Tom)’s job was to make the technology deliver what the business needed. Talk about a revolutionary idea! All that was left was learning how to communicate with each other without bloodshed to make the project a resounding success. Mission accomplished. They decided this epiphany was so important that the world needed to know about it. As a result, they made it their mission (and their passion) to share this ground-breaking concept with the rest of the world. To achieve that lofty goal, they married and began the mission that still defines their life. After over 30 years of living and working together 24x7x365, they are still wildly enthusiastic about helping the victims of technology learn how to ask for and get the digital (IT) solutions they need to do their jobs better. More importantly, they are more enthusiastically in love with each other than ever before! |
| analytical techniques in business: Machine Learning Techniques for Improved Business Analytics G., Dileep Kumar, 2018-07-06 Analytical tools and algorithms are essential in business data and information systems. Efficient economic and financial forecasting in machine learning techniques increases gains while reducing risks. Providing research on predictive models with high accuracy, stability, and ease of interpretation is important in improving data preparation, analysis, and implementation processes in business organizations. Machine Learning Techniques for Improved Business Analytics is a collection of innovative research on the methods and applications of artificial intelligence in strategic business decisions and management. Featuring coverage on a broad range of topics such as data mining, portfolio optimization, and social network analysis, this book is ideally designed for business managers and practitioners, upper-level business students, and researchers seeking current research on large-scale information control and evaluation technologies that exceed the functionality of conventional data processing techniques. |
| analytical techniques in business: The Business Analysis Handbook Helen Winter, 2019-09-03 FINALIST: Business Book Awards 2020 - Specialist Book Category FINALIST: PMI UK National Project Awards 2019 - Project Management Literature Category The business analyst role can cover a wide range of responsibilities, including the elicitation and documenting of business requirements, upfront strategic work, design and implementation phases. Typical difficulties faced by analysts include stakeholders who disagree or don't know their requirements, handling estimates and project deadlines that conflict, and what to do if all the requirements are top priority. The Business Analysis Handbook offers practical solutions to these and other common problems which arise when uncovering requirements or conducting business analysis. Getting requirements right is difficult; this book offers guidance on delivering the right project results, avoiding extra cost and work, and increasing the benefits to the organization. The Business Analysis Handbook provides an understanding of the analyst role and the soft skills required, and outlines industry standard tools and techniques with guidelines on their use to suit the most appropriate situations. Covering numerous techniques such as Business Process Model and Notation (BPMN), use cases and user stories, this essential guide also includes standard templates to save time and ensure nothing important is missed. |
| analytical techniques in business: How to Start a Business Analyst Career Laura Brandenburg, 2015-01-02 You may be wondering if business analysis is the right career choice, debating if you have what it takes to be successful as a business analyst, or looking for tips to maximize your business analysis opportunities. With the average salary for a business analyst in the United States reaching above $90,000 per year, more talented, experienced professionals are pursuing business analysis careers than ever before. But the path is not clear cut. No degree will guarantee you will start in a business analyst role. What's more, few junior-level business analyst jobs exist. Yet every year professionals with experience in other occupations move directly into mid-level and even senior-level business analyst roles. My promise to you is that this book will help you find your best path forward into a business analyst career. More than that, you will know exactly what to do next to expand your business analysis opportunities. |
| analytical techniques in business: An Introduction to Business Systems Analysis Eugene O'Loughlin, 2009 This book looks at the role of the Business Analyst and offers analysis tools for problem identification, identifying improvement priorities, decision making, problem solving, and process improvement. |
| analytical techniques in business: Structured Analytic Techniques for Intelligence Analysis Richards J. Heuer Jr., 2014-05-28 In this Second Edition of Structured Analytic Techniques for Intelligence Analysis, authors Richards J. Heuer Jr. and Randolph H. Pherson showcase fifty-five structured analytic techniques—five new to this edition—that represent the most current best practices in intelligence, law enforcement, homeland security, and business analysis. |
| analytical techniques in business: Profit Driven Business Analytics Wouter Verbeke, Bart Baesens, Cristian Bravo, 2017-10-09 Maximize profit and optimize decisions with advanced business analytics Profit-Driven Business Analytics provides actionable guidance on optimizing the use of data to add value and drive better business. Combining theoretical and technical insights into daily operations and long-term strategy, this book acts as a development manual for practitioners seeking to conceive, develop, and manage advanced analytical models. Detailed discussion delves into the wide range of analytical approaches and modeling techniques that can help maximize business payoff, and the author team draws upon their recent research to share deep insight about optimal strategy. Real-life case studies and examples illustrate these techniques at work, and provide clear guidance for implementation in your own organization. From step-by-step instruction on data handling, to analytical fine-tuning, to evaluating results, this guide provides invaluable guidance for practitioners seeking to reap the advantages of true business analytics. Despite widespread discussion surrounding the value of data in decision making, few businesses have adopted advanced analytic techniques in any meaningful way. This book shows you how to delve deeper into the data and discover what it can do for your business. Reinforce basic analytics to maximize profits Adopt the tools and techniques of successful integration Implement more advanced analytics with a value-centric approach Fine-tune analytical information to optimize business decisions Both data stored and streamed has been increasing at an exponential rate, and failing to use it to the fullest advantage equates to leaving money on the table. From bolstering current efforts to implementing a full-scale analytics initiative, the vast majority of businesses will see greater profit by applying advanced methods. Profit-Driven Business Analytics provides a practical guidebook and reference for adopting real business analytics techniques. |
| analytical techniques in business: Business and Competitive Analysis Craig S. Fleisher, Babette E. Bensoussan, 2015-01-12 Meet any business or competitive analysis challenge: deliver actionable business insights and on-point recommendations that enterprise decision makers can’t and won’t ignore! All you need is one book: Business and Competitive Analysis, Second Edition . This generation’s definitive guide to business and competitive analysis has now been thoroughly updated with additional methods, applications and examples. Craig S. Fleisher and Babette E. Bensoussan begin with a practical primer on the process and context of business and competitive analysis: how it works, how to avoid pitfalls, and how to communicate results. Next, they introduce their unique FAROUT method for choosing the right tools for each assignment. The authors then present dozens of today’s most valuable analysis methods. They cover “classic” techniques, such as McKinsey 7S and industry analysis, as well as emerging techniques from multiple disciplines: economics, corporate finance, sociology, anthropology, and the intelligence and futurist communities. You’ll find full chapters outlining effective analysis processes; avoiding pitfalls; communicating results; as well as drill-downs on analyzing industries, competitive positioning, business models, supply chains, strategic relationships, corporate reputation, critical success factors, driving forces, technology change, cash flow, and much more. For every method, Fleisher and Bensoussan present clear descriptions, background context, strategic rationales, strengths, weaknesses, step-by-step instructions, and references. The result is a book every analyst, strategist, and manager can rely on – in any industry, for any challenge. |
| analytical techniques in business: Data Mining for Business Analytics Galit Shmueli, Peter C. Bruce, Peter Gedeck, Nitin R. Patel, 2019-10-14 Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python presents an applied approach to data mining concepts and methods, using Python software for illustration Readers will learn how to implement a variety of popular data mining algorithms in Python (a free and open-source software) to tackle business problems and opportunities. This is the sixth version of this successful text, and the first using Python. It covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, recommender systems, clustering, text mining and network analysis. It also includes: A new co-author, Peter Gedeck, who brings both experience teaching business analytics courses using Python, and expertise in the application of machine learning methods to the drug-discovery process A new section on ethical issues in data mining Updates and new material based on feedback from instructors teaching MBA, undergraduate, diploma and executive courses, and from their students More than a dozen case studies demonstrating applications for the data mining techniques described End-of-chapter exercises that help readers gauge and expand their comprehension and competency of the material presented A companion website with more than two dozen data sets, and instructor materials including exercise solutions, PowerPoint slides, and case solutions Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python is an ideal textbook for graduate and upper-undergraduate level courses in data mining, predictive analytics, and business analytics. This new edition is also an excellent reference for analysts, researchers, and practitioners working with quantitative methods in the fields of business, finance, marketing, computer science, and information technology. “This book has by far the most comprehensive review of business analytics methods that I have ever seen, covering everything from classical approaches such as linear and logistic regression, through to modern methods like neural networks, bagging and boosting, and even much more business specific procedures such as social network analysis and text mining. If not the bible, it is at the least a definitive manual on the subject.” —Gareth M. James, University of Southern California and co-author (with Witten, Hastie and Tibshirani) of the best-selling book An Introduction to Statistical Learning, with Applications in R |
| analytical techniques in business: Business Intelligence Techniques Murugan Anandarajan, Asokan Anandarajan, Cadambi A. Srinivasan, 2012-11-02 Modern businesses generate huge volumes of accounting data on a daily basis. The recent advancements in information technology have given organizations the ability to capture and store data in an efficient and effective manner. However, there is a widening gap between this data storage and usage of the data. Business intelligence techniques can help an organization obtain and process relevant accounting data quickly and cost efficiently. Such techniques include: query and reporting tools, online analytical processing (OLAP), statistical analysis, text mining, data mining, and visualization. Business Intelligence Techniques is a compilation of chapters written by experts in the various areas. While these chapters stand on their own, taken together they provide a comprehensive overview of how to exploit accounting data in the business environment. |
| analytical techniques in business: Key Business Analytics Bernard Marr, 2016-02-10 Key Business Analytics will help managers apply tools to turn data into insights that help them better understand their customers, optimize their internal processes and identify cost savings and growth opportunities. It includes analysis techniques within the following categories: Financial analytics – cashflow, profitability, sales forecasts Market analytics – market size, market trends, marketing channels Customer analytics – customer lifetime values, social media, customer needs Employee analytics – capacity, performance, leadership Operational analytics – supply chains, competencies, environmental impact Bare business analytics – sentiments, text, correlations Each tool will follow the bestselling Key format of being 5-6 pages long, broken into short sharp advice on the essentials: What is it? When should I use it? How do I use it? Tips and pitfalls Further reading This essential toolkit also provides an invaluable section on how to gather original data yourself through surveys, interviews, focus groups, etc. |
| analytical techniques in business: Social Media Analytics Matthew Ganis, Avinash Kohirkar, 2015-12-14 Transform Raw Social Media Data into Real Competitive Advantage There’s real competitive advantage buried in today’s deluge of social media data. If you know how to analyze it, you can increase your relevance to customers, establishing yourself as a trusted supplier in a cutthroat environment where consumers rely more than ever on “public opinion” about your products, services, and experiences. Social Media Analytics is the complete insider’s guide for all executives and marketing analysts who want to answer mission-critical questions and maximize the business value of their social media data. Two leaders of IBM’s pioneering Social Media Analysis Initiative offer thorough and practical coverage of the entire process: identifying the right unstructured data, analyzing it, and interpreting and acting on the knowledge you gain. Their expert guidance, practical tools, and detailed examples will help you learn more from all your social media conversations, and avoid pitfalls that can lead to costly mistakes. You’ll learn how to: Focus on the questions that social media data can realistically answer Determine which information is actually useful to you—and which isn’t Cleanse data to find and remove inaccuracies Create data models that accurately represent your data and lead to more useful answers Use historical data to validate hypotheses faster, so you don’t waste time Identify trends and use them to improve predictions Drive value “on-the-fly” from real-time/ near-real-time and ad hoc analyses Analyze text, a.k.a. “data at rest” Recognize subtle interrelationships that impact business performance Improve the accuracy of your sentiment analyses Determine eminence, and distinguish “talkers” from true influencers Optimize decisions about marketing and advertising spend Whether you’re a marketer, analyst, manager, or technologist, you’ll learn how to use social media data to compete more effectively, respond more rapidly, predict more successfully...grow profits, and keep them growing. |
| analytical techniques in business: Business Analysis James Cadle, Donald Yeates, 2014 Business analysts must respond to the challenges of today's highly competitive global economy by developing practical, creative and financially sound solutions and this excellent guide gives them the necessary tools. It is also ideal for students wanting to gain university and industry qualifications. This new edition includes expanded discussions regarding gap analysis and benefits management, the impact of Agile software development and an introduction to business architecture. |
| analytical techniques in business: Analytical Techniques in Biochemistry and Molecular Biology Rajan Katoch, 2011-07-19 Advances in biochemistry now allow us to control living systems in ways that were undreamt of a decade ago. This volume guides researchers and students through the full spectrum of experimental protocols used in biochemistry, plant biology and biotechnology. |
| analytical techniques in business: Modeling Techniques in Predictive Analytics Thomas W. Miller, 2015 Now fully updated, this uniquely accessible book will help you use predictive analytics to solve real business problems and drive real competitive advantage. If you're new to the discipline, it will give you the strong foundation you need to get accurate, actionable results. If you're already a modeler, programmer, or manager, it will teach you crucial skills you don't yet have. This guide illuminates the discipline through realistic vignettes and intuitive data visualizations-not complex math. Thomas W. Miller, leader of Northwestern University's pioneering program in predictive analytics, guides you through defining problems, identifying data, crafting and optimizing models, writing effective R code, interpreting results, and more. Every chapter focuses on one of today's key applications for predictive analytics, delivering skills and knowledge to put models to work-and maximize their value. Reflecting extensive student and instructor feedback, this edition adds five classroom-tested case studies, updates all code for new versions of R, explains code behavior more clearly and completely, and covers modern data science methods even more effectively. |
| analytical techniques in business: A Practitioner's Guide to Business Analytics (PB) Randy Bartlett, 2013-01-25 Gain the competitive edge with the smart use of business analytics In today’s volatile business environment, the strategic use of business analytics is more important than ever. A Practitioners Guide to Business Analytics helps you get the organizational commitment you need to get business analytics up and running in your company. It provides solutions for meeting the strategic challenges of applying analytics, such as: Integrating analytics into decision making, corporate culture, and business strategy Leading and organizing analytics within the corporation Applying statistical qualifications, statistical diagnostics, and statistical review Providing effective building blocks to support analytics—statistical software, data collection, and data management Randy Bartlett, Ph.D., is Chief Statistical Officer of the consulting company Blue Sigma Analytics. He currently works with Infosys, where he has helped build their new Business Analytics practice. |
| analytical techniques in business: Analysing Quantitative Survey Data for Business and Management Students Jeremy Dawson, 2016-11-10 In Analysing Quantitative Survey Data, Jeremy Dawson introduces you to the key elements of analysing quantitative survey data using classical test theory, the measurement theory that underlies the techniques described in the book. The methodological assumptions, basic components and strengths and limitations of this analysis are explained and with the help of illustrative examples, you are guided through how to conduct the key procedures involved, including reliability analysis, exploratory and confirmatory factor analysis. 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. |
| analytical techniques in business: Competing on Analytics Thomas H. Davenport, Jeanne G. Harris, 2007-03-06 You have more information at hand about your business environment than ever before. But are you using it to “out-think” your rivals? If not, you may be missing out on a potent competitive tool. In Competing on Analytics: The New Science of Winning, Thomas H. Davenport and Jeanne G. Harris argue that the frontier for using data to make decisions has shifted dramatically. Certain high-performing enterprises are now building their competitive strategies around data-driven insights that in turn generate impressive business results. Their secret weapon? Analytics: sophisticated quantitative and statistical analysis and predictive modeling. Exemplars of analytics are using new tools to identify their most profitable customers and offer them the right price, to accelerate product innovation, to optimize supply chains, and to identify the true drivers of financial performance. A wealth of examples—from organizations as diverse as Amazon, Barclay’s, Capital One, Harrah’s, Procter & Gamble, Wachovia, and the Boston Red Sox—illuminate how to leverage the power of analytics. |
| analytical techniques in business: Analytical Techniques in Biosciences Chukwuebuka Egbuna, Kingsley C. Patrick-Iwuanyanwu, Muhammad Ajmal Shah, Jonathan C. Ifemeje, Azhar Rasul, 2021-10-21 Analytical Techniques in Biosciences: From Basics to Applications presents comprehensive and up-to-date information on the various analytical techniques obtainable in bioscience research laboratories across the world. This book contains chapters that discuss the basic bioanalytical protocols and sample preparation guidelines. Commonly encountered analytical techniques, their working principles, and applications were presented. Techniques, considered in this book, include centrifugation techniques, electrophoretic techniques, chromatography, titrimetry, spectrometry, and hyphenated techniques. Subsequent chapters emphasize molecular weight determination and electroanalytical techniques, biosensors, and enzyme assay protocols. Other chapters detail microbial techniques, statistical methods, computational modeling, and immunology and immunochemistry.The book draws from experts from key institutions around the globe, who have simplified the chapters in a way that will be useful to early-stage researchers as well as advanced scientists. It is also carefully structured and integrated sequentially to aid flow, consistency, and continuity. This is a must-have reference for graduate students and researchers in the field of biosciences. - Presents basic analytical protocols and sample-preparation guidelines - Details the various analytical techniques, including centrifugation, spectrometry, chromatography, and titrimetry - Describes advanced techniques such as hyphenated techniques, electroanalytical techniques, and the application of biosensors in biomedical research - Presents biostatistical tools and methods and basic computational models in biosciences |
| analytical techniques in business: Process Analytics Seyed-Mehdi-Reza Beheshti, Boualem Benatallah, Sherif Sakr, Daniela Grigori, Hamid Reza Motahari-Nezhad, Moshe Chai Barukh, Ahmed Gater, Seung Hwan Ryu, 2016-03-28 This book starts with an introduction to process modeling and process paradigms, then explains how to query and analyze process models, and how to analyze the process execution data. In this way, readers receive a comprehensive overview of what is needed to identify, understand and improve business processes. The book chiefly focuses on concepts, techniques and methods. It covers a large body of knowledge on process analytics – including process data querying, analysis, matching and correlating process data and models – to help practitioners and researchers understand the underlying concepts, problems, methods, tools and techniques involved in modern process analytics. Following an introduction to basic business process and process analytics concepts, it describes the state of the art in this area before examining different analytics techniques in detail. In this regard, the book covers analytics over different levels of process abstractions, from process execution data and methods for linking and correlating process execution data, to inferring process models, querying process execution data and process models, and scalable process data analytics methods. In addition, it provides a review of commercial process analytics tools and their practical applications. The book is intended for a broad readership interested in business process management and process analytics. It provides researchers with an introduction to these fields by comprehensively classifying the current state of research, by describing in-depth techniques and methods, and by highlighting future research directions. Lecturers will find a wealth of material to choose from for a variety of courses, ranging from undergraduate courses in business process management to graduate courses in business process analytics. Lastly, it offers professionals a reference guide to the state of the art in commercial tools and techniques, complemented by many real-world use case scenarios. |
| analytical techniques in business: Tools and Techniques for Economic Decision Analysis Stankovi?, Jelena, Delias, Pavlos, Marinkovi?, Sr?an, Rochhia, Sylvie, 2016-10-31 The success of any business relies heavily on the evaluation and improvement on current strategies and processes. Such progress can be facilitated by implementing more effective decision-making systems. Tools and Techniques for Economic Decision Analysis provides a thorough overview of decision models and methodologies in the context of business economics. Highlighting a variety of relevant issues on finance, economic policy, and firms and networks, this book is an ideal reference source for managers, professionals, students, and academics interested in emerging developments for decision analysis. |
| analytical techniques in business: Qualitative Techniques for Workplace Data Analysis Gupta, Manish, Shaheen, Musarrat, Reddy, K. Prathap, 2018-07-13 In businesses and organizations, understanding the social reality of individuals, groups, and cultures allows for in-depth understanding and rich analysis of multiple research areas to improve practices. Qualitative research provides important insight into the interactions of the workplace. Qualitative Techniques for Workplace Data Analysis is an essential reference source that discusses the qualitative methods used to analyze workplace data, as well as what measures should be adopted to ensure the credibility and dependability of qualitative findings in the workplace. Featuring research on topics such as collection methods, content analysis, and sampling, this book is ideally designed for academicians, development practitioners, business managers, and analytic professionals seeking coverage on quality measurement techniques in the occupational settings of emerging markets. |
| analytical techniques in business: Graph Analysis and Visualization Richard Brath, David Jonker, 2015-01-30 Wring more out of the data with a scientific approach to analysis Graph Analysis and Visualization brings graph theory out of the lab and into the real world. Using sophisticated methods and tools that span analysis functions, this guide shows you how to exploit graph and network analytic techniques to enable the discovery of new business insights and opportunities. Published in full color, the book describes the process of creating powerful visualizations using a rich and engaging set of examples from sports, finance, marketing, security, social media, and more. You will find practical guidance toward pattern identification and using various data sources, including Big Data, plus clear instruction on the use of software and programming. The companion website offers data sets, full code examples in Python, and links to all the tools covered in the book. Science has already reaped the benefit of network and graph theory, which has powered breakthroughs in physics, economics, genetics, and more. This book brings those proven techniques into the world of business, finance, strategy, and design, helping extract more information from data and better communicate the results to decision-makers. Study graphical examples of networks using clear and insightful visualizations Analyze specifically-curated, easy-to-use data sets from various industries Learn the software tools and programming languages that extract insights from data Code examples using the popular Python programming language There is a tremendous body of scientific work on network and graph theory, but very little of it directly applies to analyst functions outside of the core sciences – until now. Written for those seeking empirically based, systematic analysis methods and powerful tools that apply outside the lab, Graph Analysis and Visualization is a thorough, authoritative resource. |
| analytical techniques in business: Analytic Methods for Design Practice Gyung-Jin Park, 2007-05-31 In the world of modern engineering, rigorous and definite design methodologies are needed. However, many parts of engineering design are performed in either an ad-hoc manner or based on the intuition of the engineer. This is the first book to look at both stages of the design process – conceptual design and detailed design – and detail design methodologies for every step of the design process. Case studies show how practical design problems can be solved with analytic design methods. This book is an excellent introduction to the subject. The book’s practical focus will make the book useful to practicing engineers as a practical handbook of design. |
| analytical techniques in business: Guide to Business Data Analytics Iiba, 2020-08-07 The Guide to Business Data Analytics provides a foundational understanding of business data analytics concepts and includes how to develop a framework; key techniques and application; how to identify, communicate and integrate results; and more. This guide acts as a reference for the practice of business data analytics and is a companion resource for the Certification in Business Data Analytics (IIBA(R)- CBDA). Explore more information about the Certification in Business Data Analytics at IIBA.org/CBDA. About International Institute of Business Analysis International Institute of Business Analysis(TM) (IIBA(R)) is a professional association dedicated to supporting business analysis professionals deliver better business outcomes. IIBA connects almost 30,000 Members, over 100 Chapters, and more than 500 training, academic, and corporate partners around the world. As the global voice of the business analysis community, IIBA supports recognition of the profession, networking and community engagement, standards and resource development, and comprehensive certification programs. IIBA Publications IIBA publications offer a wide variety of knowledge and insights into the profession and practice of business analysis for the entire business community. Standards such as A Guide to the Business Analysis Body of Knowledge(R) (BABOK(R) Guide), the Agile Extension to the BABOK(R) Guide, and the Global Business Analysis Core Standard represent the most commonly accepted practices of business analysis around the globe. IIBA's reports, research, whitepapers, and studies provide guidance and best practices information to address the practice of business analysis beyond the global standards and explore new and evolving areas of practice to deliver better business outcomes. Learn more at iiba.org. |
| analytical techniques in business: Business Analysis Methodology Book Emrah Yayici, 2015-07-21 Resource added for the Business Analyst program 101021. |
| analytical techniques in business: The PMI Guide to Business Analysis , 2017-12-22 The Standard for Business Analysis – First Edition is a new PMI foundational standard, developed as a basis for business analysis for portfolio, program, and project management. This standard illustrates how project management processes and business analysis processes are complementary activities, where the primary focus of project management processes is the project and the primary focus of business analysis processes is the product. This is a process-based standard, aligned with A Guide to the Project Management Body of Knowledge (PMBOK® Guide) – Sixth Edition, and to be used as a standard framework contributing to the business analysis body of knowledge. |
| analytical techniques in business: Mastering Business Analysis Standard Practices Kelley Bruns, Billie Johnson, 2019 This volume in the Business Analysis Professional Development Series presents all the standard practices for performing business analysis work across seven steps, five perspectives, and 74 techniques. It will help business analysts at all levels further develop their skills and capabilities and master the next, or intermediate, level of competency in business analysis needed to advance their careers. This reference provides valuable guidance to everyone who performs BA work, uses BA deliverables, reviews or approves BA deliverables, or manages or mentors BA practitioners. It will help readers comprehend the BA role, responsibilities, and deliverables that ensure business analysis success. For instructors, trainers, and students, the supplemental Mastering Business Analysis Standard Practices Workbook, designed to be used in conjunction with the main text, enables readers to practice the seven-step process they are learning with a realistic case study, exercises, and suggested solutions. It helps facilitate self-learning and course instruction effectively where users can engage the processes before applying them on their own projects. Key Features [bullet] Presents a structured step-by-step process for performing business analysis that any new or experienced practitioner could follow, rather than having to piece the process together themselves [bullet] Addresses stakeholder identification and thoroughly examines stakeholder analysis and management to ensure a deep understanding before planning or engaging stakeholder involvement [bullet] Discusses how to perform situational needs analysis and prepare situational justification for decision makers within the business context [bullet] Demonstrates how to plan the business analysis work effort and develop and execute communication and information management plans [bullet] Shows how to set up a project for success with a clear and concise scope definition boundary, maintain agreement on scope, and control scope in an ever-changing environment [bullet] Provides detailed guidance on developing solution requirements and design definition for building the solution to meet stakeholder needs [bullet] Details the business analysis practitioner's role as the solution is being bui |
| analytical techniques in business: Techniques of Financial Analysis Erich A. Helfert, 1972 |
| analytical techniques in business: A Guide to the Business Analysis Body of Knowledger International Institute of Business Analysis, IIBA, 2009 The BABOK Guide contains a description of generally accepted practices in the field of business analysis. Recognised around the world as a key tool for the practice of business analysis and has become a widely-accepted standard for the profession. |
| analytical techniques in business: Mastering the Requirements Process Suzanne Robertson, James Robertson, 2012-08-06 “If the purpose is to create one of the best books on requirements yet written, the authors have succeeded.” —Capers Jones Software can solve almost any problem. The trick is knowing what the problem is. With about half of all software errors originating in the requirements activity, it is clear that a better understanding of the problem is needed. Getting the requirements right is crucial if we are to build systems that best meet our needs. We know, beyond doubt, that the right requirements produce an end result that is as innovative and beneficial as it can be, and that system development is both effective and efficient. Mastering the Requirements Process: Getting Requirements Right, Third Edition, sets out an industry-proven process for gathering and verifying requirements, regardless of whether you work in a traditional or agile development environment. In this sweeping update of the bestselling guide, the authors show how to discover precisely what the customer wants and needs, in the most efficient manner possible. Features include The Volere requirements process for discovering requirements, for use with both traditional and iterative environments A specification template that can be used as the basis for your own requirements specifications Formality guides that help you funnel your efforts into only the requirements work needed for your particular development environment and project How to make requirements testable using fit criteria Checklists to help identify stakeholders, users, non-functional requirements, and more Methods for reusing requirements and requirements patterns New features include Strategy guides for different environments, including outsourcing Strategies for gathering and implementing requirements for iterative releases “Thinking above the line” to find the real problem How to move from requirements to finding the right solution The Brown Cow model for clearer viewpoints of the system Using story cards as requirements Using the Volere Knowledge Model to help record and communicate requirements Fundamental truths about requirements and system development |
| analytical techniques in business: Handbook of Research on Advanced Data Mining Techniques and Applications for Business Intelligence Trivedi, Shrawan Kumar, Dey, Shubhamoy, Kumar, Anil, Panda, Tapan Kumar, 2017-02-14 The development of business intelligence has enhanced the visualization of data to inform and facilitate business management and strategizing. By implementing effective data-driven techniques, this allows for advance reporting tools to cater to company-specific issues and challenges. The Handbook of Research on Advanced Data Mining Techniques and Applications for Business Intelligence is a key resource on the latest advancements in business applications and the use of mining software solutions to achieve optimal decision-making and risk management results. Highlighting innovative studies on data warehousing, business activity monitoring, and text mining, this publication is an ideal reference source for research scholars, management faculty, and practitioners. |
| analytical techniques in business: Business Analysis Steven P. Blais, 2011-11-08 The definitive guide on the roles and responsibilities of the business analyst Business Analysis offers a complete description of the process of business analysis in solving business problems. Filled with tips, tricks, techniques, and guerilla tactics to help execute the process in the face of sometimes overwhelming political or social obstacles, this guide is also filled with real world stories from the author's more than thirty years of experience working as a business analyst. Provides techniques and tips to execute the at-times tricky job of business analyst Written by an industry expert with over thirty years of experience Straightforward and insightful, Business Analysis is a valuable contribution to your ability to be successful in this role in today's business environment. |
| analytical techniques in business: Handbook of Statistical Analysis and Data Mining Applications Ken Yale, Robert Nisbet, Gary D. Miner, 2017-11-09 Handbook of Statistical Analysis and Data Mining Applications, Second Edition, is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers, both academic and industrial, through all stages of data analysis, model building and implementation. The handbook helps users discern technical and business problems, understand the strengths and weaknesses of modern data mining algorithms and employ the right statistical methods for practical application. This book is an ideal reference for users who want to address massive and complex datasets with novel statistical approaches and be able to objectively evaluate analyses and solutions. It has clear, intuitive explanations of the principles and tools for solving problems using modern analytic techniques and discusses their application to real problems in ways accessible and beneficial to practitioners across several areas—from science and engineering, to medicine, academia and commerce. - Includes input by practitioners for practitioners - Includes tutorials in numerous fields of study that provide step-by-step instruction on how to use supplied tools to build models - Contains practical advice from successful real-world implementations - Brings together, in a single resource, all the information a beginner needs to understand the tools and issues in data mining to build successful data mining solutions - Features clear, intuitive explanations of novel analytical tools and techniques, and their practical applications |
Analytical Chemistry Journal - ACS Publications
Read current and featured research from the Analytical Chemistry on ACS Publications, a trusted source for peer-reviewed journals.
Analytical Chemistry Current Issue - ACS Publications
Check out the latest edition of the Analytical Chemistry on ACS Publications, a trusted source for peer-reviewed journals.
About Analytical Chemistry - ACS Publications
Analytical Chemistry is a peer-reviewed research journal that is devoted to the dissemination of new and original knowledge in all branches of analytical chemistry. Articles fit our scope that …
Challenges and Recent Analytical Advances in Micro/Nanoplastic ...
May 17, 2024 · After demonstrating the analytical challenges associated with the identification of nanoplastics due to their distinctive characteristics, we discuss recent technological …
Analytical Chemistry Editorial Board – ACS Publications
View the Editorial Board for the Analytical Chemistry and get contact information for associated members.
2024 Reviews Issue | Analytical Chemistry - ACS Publications
May 21, 2024 · Sample treatment and preparation continue to be the key to analytical tools, especially when there is a trace amount of the target species in a complex matrix. This issue …
ACS Publications
ACS Publications 提供分析化學領域的最新研究、方法和觀察，並歡迎提交相關研究成果。
Analytical Chemistry Author Information – ACS Publications
Learn about the requirements and guidelines for submitting research to the Analytical Chemistry
Analytical Chemistry Vol. 94 No. 22 - ACS Publications
Read research published in the Analytical Chemistry Vol. 94 Issue 22 on ACS Publications, a trusted source for peer-reviewed journals.
Review of Techniques for the Detection, Removal, and …
Mar 28, 2025 · We also emphasize the importance of integrating various analytical and data-processing techniques to achieve efficient and nondestructive detection of microplastics. In …
Analytical Chemistry Journal - ACS Publications
Read current and featured research from the Analytical Chemistry on ACS Publications, a trusted source for peer-reviewed journals.
Analytical Chemistry Current Issue - ACS Publications
Check out the latest edition of the Analytical Chemistry on ACS Publications, a trusted source for peer-reviewed journals.
About Analytical Chemistry - ACS Publications
Analytical Chemistry is a peer-reviewed research journal that is devoted to the dissemination of new and original knowledge in all branches of analytical chemistry. Articles fit our scope that …
Challenges and Recent Analytical Advances in Micro/Nanoplastic ...
May 17, 2024 · After demonstrating the analytical challenges associated with the identification of nanoplastics due to their distinctive characteristics, we discuss recent technological …
Analytical Chemistry Editorial Board – ACS Publications
View the Editorial Board for the Analytical Chemistry and get contact information for associated members.
2024 Reviews Issue | Analytical Chemistry - ACS Publications
May 21, 2024 · Sample treatment and preparation continue to be the key to analytical tools, especially when there is a trace amount of the target species in a complex matrix. This issue …
ACS Publications
ACS Publications 提供分析化學領域的最新研究、方法和觀察，並歡迎提交相關研究成果。
Analytical Chemistry Author Information – ACS Publications
Learn about the requirements and guidelines for submitting research to the Analytical Chemistry
Analytical Chemistry Vol. 94 No. 22 - ACS Publications
Read research published in the Analytical Chemistry Vol. 94 Issue 22 on ACS Publications, a trusted source for peer-reviewed journals.
Review of Techniques for the Detection, Removal, and …
Mar 28, 2025 · We also emphasize the importance of integrating various analytical and data-processing techniques to achieve efficient and nondestructive detection of microplastics. In …
