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"Business Analytics, one of the most popular research areas today, is driven by expanding requisites from the real world. This book reveals advances in data analytics and business intelligence that can assist industries in problem-solving exercises, with a view to driving competitive advantage. The book contains a wide range of knowledge, insights, and directions that can help master the analytics skills needed to improve, innovate, and formulate new or existing processes, products, and services. In addition, this book demonstrates how to go beyond conventional analytical tools to reach the depth of the data and how the insights derived can be used for decision-making and for telling compelling stories"--
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The book 'Advances in Economics, Business and Management Research' is a collection of proceedings from the International Conference on Emerging Trends in Business Management (ICETBM 2023). It highlights the latest research and insights in the fields of economics, business, and management. The conference, hosted by SSN School of Management in India, brought together over 150 experts and scholars from various countries to discuss emerging trends such as business intelligence, analytics, and big data. With contributions from renowned keynote speakers, the book aims to advance research and spark discussions in business and management practices. It is intended for academics, researchers, and students interested in contemporary business trends.
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Learn the foundations of business intelligence, sector trade-offs, organizational structures, and technology stacks while mastering coursework, certifications, and interview success strategies Purchase of the print or Kindle book includes a free PDF eBookKey FeaturesIdentify promising job opportunities and ideal entry point into BIBuild, design, implement, and maintain BI systems successfullyAce your BI interview with author's expert guidance on certifications, trainings, and coursesBook DescriptionNavigating the challenging path of a business intelligence career requires you to consider your expertise, interests, and skills. Business Intelligence Career Master Plan explores key skills like stacks, coursework, certifications, and interview advice, enabling you to make informed decisions about your BI journey. You’ll start by assessing the different roles in BI and matching your skills and career with the tech stack. You’ll then learn to build taxonomy and a data story using visualization types. Additionally, you’ll explore the fundamentals of programming, frontend development, backend development, software development lifecycle, and project management, giving you a broad view of the end-to-end BI process. With the help of the author’s expert advice, you’ll be able to identify what subjects and areas of study are crucial and would add significant value to your skill set. By the end of this book, you’ll be well-equipped to make an informed decision on which of the myriad paths to choose in your business intelligence journey based on your skill set and interests.What you will learnUnderstand BI roles, roadmap, and technology stackAccelerate your career and land your first job in the BI industryBuild the taxonomy of various data sources for your organizationUse the AdventureWorks database and PowerBI to build a robust data modelCreate compelling data stories using data visualizationAutomate, templatize, standardize, and monitor systems for productivityWho this book is forThis book is for BI developers and business analysts who are passionate about data and are looking to advance their proficiency and career in business intelligence. While foundational knowledge of tools like Microsoft Excel is required, having a working knowledge of SQL, Python, Tableau, and major cloud providers such as AWS or GCP will be beneficial.
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This book serves as a comprehensive guide for users seeking to enhance their proficiency in Microsoft Excel's Power Pivot and Power Query tools. It explains how to leverage these features to manage and analyze large datasets effectively, offering insights into database thinking and data modeling. Key topics include creating PivotTables, using DAX for calculated columns, and importing external data. The book is designed to assist professionals and Excel users in optimizing data reporting and analytics, aiming to simplify complex data processing tasks. It targets readers with a basic understanding of Excel, providing step-by-step instructions and practical tips for advanced data manipulation.
Microsoft software. --- Business intelligence. --- Microsoft software --- Business intelligence
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The conference aims at bringing together young scientists and researchers from information technologies and management sciences in an effort to promote and encourage crossfertilization of ideas and tools related but not limited to the general topics of the conference, such as Information Technology, Information Systems, Computer Technologies, Data Science and Processing, System Security and Control, Modelling and Simulation, Automatic Control, ECommerce and E Governance, Cloud Computing, Human Computer Interaction, Cyber Physical Systems, Digital Twins, Intelligent Systems, internet of Everything.
Business intelligence --- Information technology --- Management information systems
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Alan Murray's 'Power BI for Jobseekers' offers a comprehensive introduction to Microsoft's Power BI, a leading tool for business intelligence and analytics. Aimed at beginners, the book guides readers through creating interactive dashboards and reports, emphasizing practical application for job seekers interested in data analytics roles. It covers the basics of Power BI, including data acquisition, shaping, and modeling, alongside report creation and sharing. The book highlights the growing demand for data analytics skills in business and provides insights into how learning Power BI can enhance job prospects. With contributions from experts in data analytics, the book serves as a valuable resource for those looking to leverage data for strategic decision-making.
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Artificial intelligence. --- Business intelligence. --- Machine learning.
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Macro-level dynamics and modelling are well represented in the mainstream political risk literature. However, not many writings on the subject get their hands dirty in terms of revealing the hard, nuanced and practical work behind knowing what the issues might be for a specific foreign operation in a sensitive or volatile context, and how to plan for them. Political Risk Intelligence for Business Operations in Complex Environments provides international managers, and by extension their organisations, with a foundational understanding of political risk analysis and planning for on-the-ground operations in challenging times and places. This means having a fluid grasp of what political risk means and why it matters in the organisation's context, and how relevant intelligence can be gathered and analysed to inform decisions and planning towards an operation's socio-political resilience. The book explains: How and why political risk manifests and the forms it can take Company attitudes and operational attributes as a political risk variable Understanding the operational implications of socio-political dynamics and trends Stakeholder identification and analysis for informed engagement planning Scenario analysis to prepare for long-term contingencies and discontinuities Holistic, intelligence-driven political risk management planning Tactical intelligence exercises to maintain awareness and inform adaptation Intelligence management, collection and quality control Ethical considerations in political risk management Rather than being bound by conventional notions of risk, the book emphasises the dynamic relationship between a foreign operation and its host environment and milieu as a source of both challenges and opportunities to manage them. Concepts, frameworks and practices are rounded out with real-world examples and relevant lessons from the author's experience as a political risk consultant.
Business intelligence. --- International business enterprises --- Risk management. --- Political aspects.
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This book provides an introduction to the key concepts in programming, statistics and machine learning needed by business analytics students, assuming no prior knowledge and taking a step-by-step approach to help students build up their confidence.
Business intelligence. --- Business --- Management --- Data processing. --- Statistical methods.
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