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  • Business Analytics : Data Analysis & Decision Making
    Business Analytics : Data Analysis & Decision Making

    Master data analysis, modeling and the effective use of spreadsheets with the popular BUSINESS ANALYTICS: DATA ANALYSIS AND DECISION MAKING, 7E.The quantitative methods approach in this edition helps you maximize your success with a proven teach-by-example presentation, inviting writing style and complete integration of the latest version of Excel.The approach is also compatible with earlier versions of Excel for your convenience.This edition is more data-oriented than ever before with a new chapter on the two main Power BI tools in Excel -- Power Query and Power Pivot -- and a new section of data visualization with Tableau Public.Current problems and cases demonstrate the importance of the concepts you are learning.In addition, a useful Companion Website provides data and solutions files, SolverTable for optimization sensitivity analysis and Palisade DecisionTools Suite.MindTap online resources are also available.

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  • Business Analytics : Data Analysis & Decision Making
    Business Analytics : Data Analysis & Decision Making

    Master data analysis, modeling and spreadsheets with Albright/Winston's BUSINESS ANALYTICS: DATA ANALYSIS & DECISION MAKING, 8TH EDITION.This analytical approach delivers a proven teach-by-example approach, student-friendly writing and integration with Excel.The data-oriented new edition covers the two main Power BI tools in Excel, Power Query and Power Pivot, and includes sections on implementing these tools in Power BI Desktop.Current problems and cases demonstrate the importance of the concepts you are learning.MindTap, the online learning platform, provides a wealth of helpful study tools such as interactive eBook, Excel assignments and homework, videos and much more.

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  • Management Decision-Making, Big Data and Analytics
    Management Decision-Making, Big Data and Analytics

    Accessible and concise, this exciting new textbook examines data analytics from a managerial and organizational perspective and looks at how they can help managers become more effective decision-makers. The book successfully combines theory with practical application, featuring case studies, examples and a ‘critical incidents’ feature that make these topics engaging and relevant for students of business and management. The book features chapters on cutting-edge topics, including: • Big data • Analytics • Managing emerging technologies and decision-making • Managing the ethics, security, privacy and legal aspects of data-driven decision-making The book is accompanied by an Instructor’s Manual, PowerPoint slides and access to journal articles. Suitable for management students studying business analytics and decision-making at undergraduate, postgraduate and MBA levels.

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  • Management Decision-Making, Big Data and Analytics
    Management Decision-Making, Big Data and Analytics

    Accessible and concise, this exciting new textbook examines data analytics from a managerial and organizational perspective and looks at how they can help managers become more effective decision-makers. The book successfully combines theory with practical application, featuring case studies, examples and a ‘critical incidents’ feature that make these topics engaging and relevant for students of business and management. The book features chapters on cutting-edge topics, including: • Big data • Analytics • Managing emerging technologies and decision-making • Managing the ethics, security, privacy and legal aspects of data-driven decision-making The book is accompanied by an Instructor’s Manual, PowerPoint slides and access to journal articles. Suitable for management students studying business analytics and decision-making at undergraduate, postgraduate and MBA levels.

    Price: 131.00 £ | Shipping*: 0.00 £
  • What is decision 22?

    Decision 22 is a resolution adopted by the Conference of the Parties to the United Nations Framework Convention on Climate Change (UNFCCC). It focuses on the implementation of the Paris Agreement, specifically on enhancing the transparency framework for action and support. Decision 22 aims to strengthen the reporting and review processes to ensure that countries are meeting their climate commitments and to build trust among parties. It plays a crucial role in monitoring progress towards the goals of the Paris Agreement and increasing accountability in global efforts to combat climate change.

  • What a difficult decision!

    Yes, it can be really tough to make difficult decisions. It's important to take the time to carefully consider all the options and potential outcomes before making a choice. Seeking advice from trusted friends, family, or professionals can also help provide different perspectives and insights to aid in the decision-making process. Ultimately, it's important to trust your instincts and make the best decision based on the information and resources available.

  • Is faith a decision?

    Faith can be considered a decision in the sense that individuals can choose to believe in something despite lack of concrete evidence. It often involves a conscious choice to trust in a higher power or to have confidence in certain beliefs. However, for many people, faith is also influenced by personal experiences, upbringing, and cultural factors, making it a complex and multifaceted aspect of human belief systems. Ultimately, whether faith is a decision or not may vary from person to person.

  • Is love a decision?

    Love can involve both emotions and decisions. While the initial feelings of attraction and connection may be spontaneous, choosing to commit to and prioritize a relationship requires conscious decision-making. This can involve choosing to work through challenges, communicate effectively, and prioritize the well-being of the other person. Ultimately, love involves a combination of emotions and intentional choices.

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  • Big Data Analytics : Digital Marketing and Decision-Making
    Big Data Analytics : Digital Marketing and Decision-Making

    Big Data Analytics: Digital Marketing and Decision-Making covers the advances related to marketing and business analytics.Investment marketing analytics can create value through proper allocation of resources and resource orchestration processes.The use of data analytics tools can be used to improve and speed decision-making processes. Chapters examining analytics for decision-making cover such topics as: Big data analytics for gathering business intelligenceData analytics and consumer behaviorThe role of big data analytics in organizational decision-makingThis book also looks at digital marketing and focuses on such areas as: The prediction of marketing by consumer analyticsWeb analytics for digital marketingSmart retailingLeveraging web analytics for optimizing digital marketing strategiesBig Data Analytics: Digital Marketing and Decision-Making aims to help organizations increase their profits by making better decisions on time through the use of data analytics.It is written for students, practitioners, industry professionals, researchers, and faculty working in the field of commerce and marketing, big data analytics, and organizational decision-making.

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  • Big Data on Campus : Data Analytics and Decision Making in Higher Education
    Big Data on Campus : Data Analytics and Decision Making in Higher Education

    How data-informed decision making can make colleges and universities more effective institutions. The continuing importance of data analytics is not lost on higher education leaders, who face a multitude of challenges, including increasing operating costs, dwindling state support, limits to tuition increases, and increased competition from the for-profit sector.To navigate these challenges, savvy leaders must leverage data to make sound decisions.In Big Data on Campus, leading data analytics experts and higher ed leaders show the role that analytics can play in the better administration of colleges and universities.Aimed at senior administrative leaders, practitioners of institutional research, technology professionals, and graduate students in higher education, the book opens with a conceptual discussion of the roles that data analytics can play in higher education administration.Subsequent chapters address recent developments in technology, the rapid accumulation of data assets, organizational maturity in building analytical capabilities, and methodological advancements in developing predictive and prescriptive analytics.Each chapter includes a literature review of the research and application of analytics developments in their respective functional areas, a discussion of industry trends, examples of the application of data analytics in their decision process, and other related issues that readers may wish to consider in their own organizational environment to find opportunities for building robust data analytics capabilities. Using a series of focused discussions and case studies, Big Data on Campus helps readers understand how analytics can support major organizational functions in higher education, including admission decisions, retention and enrollment management, student life and engagement, academic and career advising, student learning and assessment, and academic program planning.The final section of the book addresses major issues and human factors involved in using analytics to support decision making; the ethical, cultural, and managerial implications of its use; the role of university leaders in promoting analytics in decision making; and the need for a strong campus community to embrace the analytics revolution.Contributors: Rana Glasgal, J. Michael Gower, Tom Gutman, Brian P. Hinote, Braden J. Hosch, Aditya Johri, Christine M. Keller, Carrie Klein, Jaime Lester, Carrie Hancock Marcinkevage, Gail B.Marsh, Susan M. Menditto, Jillian N. Morn, Valentina Nestor, Cathy O'Bryan, Huzefa Rangwala, Timothy Renick, Charles Tegen, Rachit Thariani, Chris Tompkins, Lindsay K.Wayt, Karen L. Webber, Henry Y. Zheng, Ying Zhou

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  • Analytics, Data Science, & Artificial Intelligence: Systems for Decision Support, Global Edition
    Analytics, Data Science, & Artificial Intelligence: Systems for Decision Support, Global Edition

    For courses in decision support systems, computerised decision-making tools, and management support systems. Market-leading guide to modern analytics, for better business decisions Analytics, Data Science, & Artificial Intelligence: Systems for Decision Support is the most comprehensive introduction to technologies collectively called analytics (or business analytics) and the fundamental methods, techniques, and software used to design and develop these systems.Students gain inspiration from examples of organisations that have employed analytics to make decisions.With six new chapters, the 11th edition marks a major reorganisation reflecting a new focus — analytics and its enabling technologies, including AI, machine-learning, robotics, chatbots, and IoT.

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  • Decision-Driven Analytics : Leveraging Human Intelligence to Unlock the Power of Data
    Decision-Driven Analytics : Leveraging Human Intelligence to Unlock the Power of Data

    Companies have more data at their fingertips than ever before.Yet, studies show that many executives and organizations fail to extract real value from it. Challenging the conventional wisdom of data-driven decision-making, marketing professors and behavioral scientists Bart De Langhe and Stefano Puntoni argue that many analytics efforts flounder because data analyses are disconnected from the decisions to be made.In their important book, they offer a new approach they call decision-driven analytics.Counterintuitively, they argue that the key to making good decisions with data is to start by putting data in the background. Drawing from their own research and teaching, as well as real-world business cases, De Langhe and Puntoni offer four pillars of decision-driven analytics and guide you around common mistakes that have held back many organizations from using data for impact. In Decision-Driven Analytics, you will learn how to:+ Avoid common pitfalls in data-driven decision-making;+ Close the gap between managers and decision-making on one side, and data scientists and data analytics on the other;+ Enhance the impact of data analytics on business outcomes;+ Think without data to make better decisions;+ Prepare for artificial intelligence’s impact on data analytics; and+ Evaluate the costs and benefits of decision-driven analytics. A must-read for anyone who wants to harness the power of data for competitive advantage, Decision-Driven Analytics will equip you with the skills and tools you need to more effectively use data for business outcomes and to make better decisions in today’s complex and data-rich world.

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  • Was my decision right?

    As an AI language model, I don't have the ability to determine whether your decision was right or not. However, it's important to reflect on the factors that influenced your decision and consider the potential outcomes. If you made the decision based on careful consideration of the information available to you at the time, and with the best intentions, then it may have been the right decision for that moment. It's also important to remember that decisions can be complex and their outcomes may not always be immediately clear. It's okay to reassess and adjust your approach as needed.

  • What is decision 15?

    Decision 15 refers to a specific decision made within a particular context, so without further information it is difficult to provide a specific answer. Decision 15 could refer to a decision made within a company, a government, an organization, or any other context where decisions are made. To provide a more accurate answer, additional context or details about the specific decision 15 would be needed.

  • Is a decision tolerated?

    Whether a decision is tolerated depends on the context and the individuals involved. In some cases, a decision may be accepted and respected by all parties involved, leading to tolerance. However, in other situations, a decision may not be tolerated due to disagreement, conflict, or resistance from certain individuals or groups. Ultimately, the level of tolerance towards a decision can vary based on the specific circumstances and dynamics at play.

  • What are decision games?

    Decision games are interactive simulations that present players with a series of choices and consequences, allowing them to explore different outcomes based on their decisions. These games often involve strategic thinking, problem-solving, and critical decision-making skills. Players are typically tasked with managing resources, navigating complex scenarios, and dealing with uncertainty to achieve their objectives. Decision games can be used for educational purposes, training simulations, or simply for entertainment.

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