Products related to Data:
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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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Data-driven Decision-making for Product Managers : A Primer to Data Literacy in Product Management
This book is an essential guide for product managers seeking to harness the power of data to drive their product decisions.It is a detailed resource for developing and maintaining data literacy, a core skill for product managers. Through a structured approach supported by practical insights and illustrative examples, readers will learn to prioritize decisions based on quantitative data rather than intuition, understand core data concepts, and analyze and leverage data effectively. Product managers will discover how data can transform decision-making processes, enabling evidence-based selection, prioritization, and resource allocation for product features.By using customer feedback, user behavior data, market research, and performance metrics, product managers can foster a culture that leverages data to create successful products. This introductory primer and reference guide is indispensable for product managers aiming to integrate data-driven methodologies into their practice, ensuring their decisions are informed, strategic, and impactful.
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Data-Driven Decision-Making for Business
Research shows that companies that employ data-driven decision-making are more productive, have a higher market value, and deliver higher returns for their shareholders.In this book, the reader will discover the history, theory, and practice of data-driven decision-making, learning how organizations and individual managers alike can utilize its methods to avoid cognitive biases and improve confidence in their decisions.It argues that value does not come from data, but from acting on data. Throughout the book, the reader will examine how to convert data to value through data-driven decision-making, as well as how to create a strong foundation for such decision-making within organizations.Covering topics such as strategy, culture, analysis, and ethics, the text uses a collection of diverse and up-to-date case studies to convey insights which can be developed into future action.Simultaneously, the text works to bridge the gap between data specialists and businesspeople.Clear learning outcomes and chapter summaries ensure that key points are highlighted, enabling lecturers to easily align the text to their curriculums. Data-Driven Decision-Making for Business provides important reading for undergraduate and postgraduate students of business and data analytics programs, as well as wider MBA classes.Chapters can also be used on a standalone basis, turning the book into a key reference work for students graduating into practitioners.The book is supported by online resources, including PowerPoint slides for each chapter.
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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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Which federal states have sole decision-making authority?
In a federal system like the United States, federal states that have sole decision-making authority are often referred to as "unitary states." In these states, the central government holds all decision-making power and delegates limited authority to lower levels of government. Examples of unitary states include France, Japan, and the United Kingdom, where the central government has the final say on most policy matters. This centralized system contrasts with federal states like the U.S. and Germany, where power is shared between the central government and individual states or regions.
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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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How can citizens' councils be equipped with political decision-making authority?
Citizens' councils can be equipped with political decision-making authority by implementing a system of direct democracy, where citizens have the power to directly participate in decision-making processes. This can be achieved through mechanisms such as citizen initiatives, referendums, and participatory budgeting, which allow citizens to propose, vote on, and influence policy decisions. Additionally, citizens' councils can be given formal recognition and support from government institutions, ensuring that their recommendations and decisions are taken into consideration in the political decision-making process. Furthermore, providing citizens' councils with access to resources, information, and expertise can help to enhance their capacity to make informed and effective decisions.
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The data protection authority wants me to remove my camera.
If the data protection authority is requesting you to remove your camera, it is likely due to concerns about privacy and data protection regulations. It is important to comply with their request to avoid any potential legal consequences. You may need to find alternative ways to ensure security or surveillance without using a camera, such as hiring security personnel or implementing other security measures. It is advisable to seek guidance from legal experts or the data protection authority to understand the specific reasons behind their request and how best to address them.
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Behavioral AI : Unleash Decision Making with Data
Implement AI and big data at your organization using principles from behavioral economics In Behavioral AI: Unleash Decision Making with Data, behavioral economist Dr. Rogayeh Tabrizi delivers an intuitive roadmap to help organizations disentangle the complexity of their data to create tangible and lasting value.The book explains how to balance the multiple disciplines that power AI and behavioral economics using a combination of the right questions and insightful problem solving.You'll learn why intellectual diversity and combining subject matter experts in psychology, behavior, economics, physics, computer science, and engineering is essential to creating advanced AI solutions.You'll also discover: How behavioral economics principles influence data models and governance architectures and make digital transformation processes more efficient and effectiveDiscussions of the most important barriers to value in typical big data and AI projects and how to bring them downThe most effective methodology to help shorten the long, wasteful process of “boiling the ocean of data” An exciting and essential resource for managers, executives, board members, and other business leaders engaged or interested in harnessing the power of artificial intelligence and big data, Behavioral AI will also benefit data and machine learning professionals.
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Data Mesh : Principles, patterns, architecture, and strategies for data-driven decision making
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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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Leadership and Strategic Management : Decision-Making in Times of Change
Managers are facing unprecedented complexity, volatility, and ambiguity, quickly adapting their decision-making, leadership, vision, and strategies.Megatrends and forces of change have profound implications for business models, processes, and organizational structures, calling into question current paradigms and designing future change.Additionally, unprecedented disruptions, unforecastable in their nature, have increased the need for resilience and strategic flexibility. The book aims at tackling the potential interrelations among environmental transformations, strategic decisions, and leadership to better understand the role of external and internal factors on the effectiveness of managers.The book defines “change”: its extent, nature, and characteristics.Then, it focuses on decision-making, the role of potential cognitive biases, and how the interaction with the perception of determined environmental events affects the way in which decision-makers decide to implement specific strategies.Finally, in the light of waves of strategic change, it reviews theories on leadership and transformation by looking at the role and traits of leaders. Since environmental transformations have the potential to “disrupt” not only strategies but also decision-making processes and leadership, the book provides a review on the issue and propose an integrative framework which can be useful for both scholars and managers, especially in the fields of decision-making and strategy.
Price: 48.99 £ | Shipping*: 0.00 £
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What does central authority and authoritarian leadership mean?
Central authority refers to a system where power and decision-making are concentrated in a single entity or group, such as a government or leader. Authoritarian leadership is a style of leadership where the leader holds all the power and makes decisions without input from others. In an authoritarian system, there is little to no room for dissent or opposition, and individuals are expected to follow orders without question.
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Is the Irish Data Protection Authority actually being bribed by Facebook, etc.?
There is no evidence to suggest that the Irish Data Protection Authority is being bribed by Facebook or any other company. The authority is responsible for enforcing data protection laws and regulations in Ireland, and it is expected to act independently and impartially in its oversight of companies like Facebook. Any allegations of bribery or corruption should be thoroughly investigated, but as of now, there is no credible information to support such claims.
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Why are there no data when making phone calls?
There could be several reasons why there are no data when making phone calls. One common reason is that phone calls typically use voice networks, which are separate from data networks. This means that data services, such as internet browsing or app usage, may not be available during a phone call. Additionally, some phone plans may not include data usage while on a call, leading to no data being available. Finally, there may be technical issues with the phone or network that are preventing data from being transmitted during phone calls.
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How does data management work in Final Cut Pro X?
In Final Cut Pro X, data management is primarily handled through the Library system. Users can create multiple Libraries to organize their media files, projects, and events. Within each Library, users can create Events to store media files and Projects to work on editing. Final Cut Pro X also allows users to consolidate media files within the Library to ensure all necessary files are stored in one place. Additionally, users can optimize and delete unused media to free up storage space within the Library.
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