Advanced Analytics Methodologies
Advanced Analytics Methodologies

Author: Michele Chambers

Publisher: Pearson Education

Published: 2015

Total Pages: 337

ISBN-13: 0133498603

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Advanced Analytics Methodologies is today's definitive guide to analytics implementation for MBA and university-level business students and sophisticated practitioners. Its expanded, cutting-edge coverage helps readers systematically "jump the gap" between their organization's current analytical capabilities and where they need to be. Step by step, Michele Chambers and Thomas Dinsmore help readers customize a complete roadmap for implementing analytics that supports unique corporate strategies, aligns with specific corporate cultures, and serves unique customer and stakeholder communities. Drawing on work with dozens of leading enterprises, Michele Chambers and Thomas Dinsmore provide advanced applications and examples not available elsewhere, describe high-value applications from many industries, and help you systematically identify and deliver on your company's best opportunities. They show how to: Go beyond the Analytics Maturity Model: power your unique business strategy with an equally focused analytics strategy Link key business objectives with core characteristics of your organization, value chain, and stakeholders Take advantage of game changing opportunities before competitors do Effectively integrate the managerial and operational aspects of analytics Measure performance with dashboards, scorecards, visualization, simulation, and more Prioritize and score prospective analytics projects Identify "Quick Wins" you can implement while you're planning for the long-term Build an effective Analytic Program Office to make your roadmap persistent Update and revise your roadmap for new needs and technologies This advanced text will serve the needs of students and faculty studying cutting-edge analytics techniques, as well as experienced analytics leaders and professionals including Chief Analytics Officers; Chief Data Officers; Chief Scientists; Chief Marketing Officers; Chief Risk Officers; Chief Strategy Officers; VPs of Analytics or Big Data; data scientists; business strategists; and many line-of-business executives.

BIG DATA ANALYTICS: TECHNIQUES, TOOLS, AND APPLICATIONS
BIG DATA ANALYTICS: TECHNIQUES, TOOLS, AND APPLICATIONS

Author: HEMANT SINGH SENGAR SAURABH ASHWINIKUMAR DAVE BALACHANDAR RAMALINGAM OM GOEL

Publisher: DeepMisti Publication

Published: 2024-10-18

Total Pages: 172

ISBN-13: 9360446254

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In the ever-evolving landscape of the modern world, the synergy between technology and management has become a cornerstone of innovation and progress. This book, Big Data Analytics: Techniques, Tools, and Applications, is conceived to bridge the gap between emerging technological advancements in data analytics and their strategic application across industries. Our objective is to equip readers with the tools and insights necessary to excel in this dynamic intersection of fields. This book is structured to provide a comprehensive exploration of the methodologies and strategies that define the innovation of big data technologies and their integration into business practices. From foundational theories to advanced applications, we delve into the critical aspects that drive successful innovation in data-driven environments. We have made a concerted effort to present complex concepts in a clear and accessible manner, making this work suitable for a diverse audience, including students, managers, and industry professionals. In authoring this book, we have drawn upon the latest research and best practices to ensure that readers not only gain a robust theoretical understanding but also acquire practical skills that can be applied in real-world scenarios. The chapters are designed to strike a balance between depth and breadth, covering topics ranging from technological development and big data adoption to the strategic management of innovation. Additionally, we emphasize the importance of effective communication, dedicating sections to the art of presenting innovative ideas and solutions in a precise and academically rigorous manner. The inspiration for this book arises from a recognition of the crucial role that big data analytics and management play in shaping the future of businesses. We are profoundly grateful to Chancellor Shri Shiv Kumar Gupta of Maharaja Agrasen Himalayan Garhwal University for his unwavering support and vision. His dedication to fostering academic excellence and promoting a culture of innovation has been instrumental in bringing this project to fruition. We hope this book will serve as a valuable resource and inspiration for those eager to deepen their understanding of how big data technologies can be harnessed to drive innovation. We believe that the knowledge and insights contained within these pages will empower readers to lead the way in creating innovative solutions that will define the future of data-driven enterprises. Thank you for joining us on this journey. Authors

Big Data Analytics Techniques for Market Intelligence
Big Data Analytics Techniques for Market Intelligence

Author: Darwish, Dina

Publisher: IGI Global

Published: 2024-01-04

Total Pages: 536

ISBN-13:

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The ever-expanding realm of Big Data poses a formidable challenge for academic scholars and professionals due to the sheer magnitude and diversity of data types, along with the continuous influx of information from various sources. Extracting valuable insights from this vast and complex dataset is crucial for organizations to uncover market intelligence and make informed decisions. However, without the proper guidance and understanding of Big Data analytics techniques and methodologies, scholars may struggle to navigate this landscape and maximize the potential benefits of their research. In response to this pressing need, Professor Dina Darwish presents Big Data Analytics Techniques for Market Intelligence, a groundbreaking book that addresses the specific challenges faced by scholars and professionals in the field. Through a comprehensive exploration of various techniques and methodologies, this book offers a solution to the hurdles encountered in extracting meaningful information from Big Data. Covering the entire lifecycle of Big Data analytics, including preprocessing, analysis, visualization, and utilization of results, the book equips readers with the knowledge and tools necessary to unlock the power of Big Data and generate valuable market intelligence. With real-world case studies and a focus on practical guidance, scholars and professionals can effectively leverage Big Data analytics to drive strategic decision-making and stay at the forefront of this rapidly evolving field.

Fraud Data Analytics Methodology
Fraud Data Analytics Methodology

Author: Leonard W. Vona

Publisher: John Wiley & Sons

Published: 2017-01-04

Total Pages: 400

ISBN-13: 111918679X

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Uncover hidden fraud and red flags using efficient data analytics Fraud Data Analytics Methodology addresses the need for clear, reliable fraud detection with a solid framework for a robust data analytic plan. By combining fraud risk assessment and fraud data analytics, you'll be able to better identify and respond to the risk of fraud in your audits. Proven techniques help you identify signs of fraud hidden deep within company databases, and strategic guidance demonstrates how to build data interrogation search routines into your fraud risk assessment to locate red flags and fraudulent transactions. These methodologies require no advanced software skills, and are easily implemented and integrated into any existing audit program. Professional standards now require all audits to include data analytics, and this informative guide shows you how to leverage this critical tool for recognizing fraud in today's core business systems. Fraud cannot be detected through audit unless the sample contains a fraudulent transaction. This book explores methodologies that allow you to locate transactions that should undergo audit testing. Locate hidden signs of fraud Build a holistic fraud data analytic plan Identify red flags that lead to fraudulent transactions Build efficient data interrogation into your audit plan Incorporating data analytics into your audit program is not about reinventing the wheel. A good auditor must make use of every tool available, and recent advances in analytics have made it accessible to everyone, at any level of IT proficiency. When the old methods are no longer sufficient, new tools are often the boost that brings exceptional results. Fraud Data Analytics Methodology gets you up to speed, with a brand new tool box for fraud detection.

How Big Data Analytics can shape Corporate Strategy
How Big Data Analytics can shape Corporate Strategy

Author: Gabriel Socha

Publisher: GRIN Verlag

Published: 2018-08-16

Total Pages: 29

ISBN-13: 3668774625

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Essay from the year 2018 in the subject Business economics - Business Management, Corporate Governance, , language: English, abstract: As one of the most trending business topics, Big Data Analytics is having an enormous influence on today’s executives. Big Data Analytics is improving business efficiency and productivity. Besides, big data has become a whole industry, growing at a fast pace. Additionally, innovative business models based on big data are disrupting traditional markets. This essay provides an overview of the topic Big Data Analytics in a business context and explores the dimensions how and under which circumstances companies can build their strategy around those capabilities and what challenges have to be tackled. Furthermore, a case study illustrates how a company, not even 25 years old, could grow into one of the largest corporations worldwide – due to big data.

Information Technology for Management
Information Technology for Management

Author: Efraim Turban

Publisher: John Wiley & Sons

Published: 2008

Total Pages: 740

ISBN-13:

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Taking a practical, managerial-oriented approach, this text stresses how information technology provides solutions to organisational problems and challenges, and emphasises the innovative use of information technology.

The Global Impact of Renewable Energy and Data Analytics
The Global Impact of Renewable Energy and Data Analytics

Author: Kingsley Onyeagusi

Publisher: GRIN Verlag

Published: 2024-01-08

Total Pages: 19

ISBN-13: 3346990435

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Academic Paper from the year 2023 in the subject Politics - Environmental Policy, , language: English, abstract: This article explores the critical role of renewable energy and intelligence systems in developing countries seeking to expand energy access and for developed nations working to decarbonise energy systems. The opportunities, challenges, and impacts of the renewable's revolution vary between poor nations with limited existing infrastructure and rich countries possessing advanced technical capabilities. However, data-driven solutions are invaluable in maximising clean energy potential everywhere while managing variability. By comparing and contrasting the nuances of integrating high shares of solar, wind, and other renewables onto grids in Asia, Africa, the Americas, and Europe, insights and best practices can be shared across borders. Artificial intelligence and machine learning are unlocking the promise of renewable energy worldwide through sophisticated forecasting of supply and demand, optimal location of projects, predictive maintenance of assets, and real-time management of complex systems. However, technology gaps and a lack of technical expertise hamper many developing nations. Targeted financing, capacity building, and knowledge transfer are critical to empowering these regions to benefit from data and renewables in providing affordable, reliable, and sustainable energy access. This article highlights significant trends, analyses case studies of success, and synthesises expert perspectives across the developed and developing world. By documenting the global impacts of renewables and analytics, stakeholders ranging from policymakers to investors can make informed decisions that steer all nations towards a decarbonised energy future that leaves no one behind. The insights can help guide an inclusive and just transition worldwide.

Essentials of Marketing Analytics, 1e
Essentials of Marketing Analytics, 1e

Author: Joseph F. Hair (Jr.)

Publisher: McGraw-Hill Higher Education

Published: 2021

Total Pages: 492

ISBN-13: 1264263651

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"We developed this new book with enthusiasm and great optimism. Marketing analytics is an exciting field to study, and there are numerous emerging opportunities for students at the undergraduate level, and particularly at the master's level. We live in a global, highly competitive, rapidly changing world that is increasingly influenced by digital data, expanded analytical capabilities, information technology, social media, artificial intelligence, and many other recent developments. We believe this book will become the premier source for new and essential knowledge in data analytics, particularly for situations related to marketing decision making that can benefit from marketing analytics, which is likely 80 percent of all challenges faced by organizations"--