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Advanced Analytics Methodologies


Advanced Analytics Methodologies
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Advanced Analytics Methodologies


Advanced Analytics Methodologies
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Author : Michele Chambers
language : en
Publisher: Pearson Education
Release Date : 2014-08-27

Advanced Analytics Methodologies written by Michele Chambers and has been published by Pearson Education this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-08-27 with Business & Economics categories.


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.



Advanced Analytics Methodologies


Advanced Analytics Methodologies
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Author : Michele Chambers. Thomas W. Dinsmore
language : en
Publisher:
Release Date : 2014

Advanced Analytics Methodologies written by Michele Chambers. Thomas W. Dinsmore and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with Business categories.




Big Data Analytics Methods


Big Data Analytics Methods
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Author : Peter Ghavami
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2016-03-06

Big Data Analytics Methods written by Peter Ghavami and has been published by Createspace Independent Publishing Platform this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-03-06 with categories.


Big Data Analytics Methods unveils secrets to advanced analytics techniques ranging from machine learning, random forest classifiers, predictive modeling, cluster analysis, natural language processing (NLP), Kalman filtering and ensemble of models for optimal accuracy of analysis and prediction. More than 100 analytics techniques and methods are covered. The book offers solutions and tips on handling missing data, noisy and dirty data, error reduction and boosting signal to reduce noise. This book is ideal as a text book for a course or as a reference for data scientists, data engineers, data analysts, Business intelligence practitioners, and business managers. It covers 10 chapters that discuss natural language processing (NLP), data visualization, prediction, optimization, artificial intelligence, regression analysis, cox hazard model and many analytics use case examples with applications in healthcare, transportation, retail, telecommunication, consulting, manufacturing, energy and financial services. Big Data Analytics Methods Is a must read for those who wish to gain confidence and knowledge about big data and advanced analytics techniques. Read this book and confidently speak, lead and guide others about machine learning, neural networks, NLP, deep learning, and over 100 other analytics techniques. This book is fun and easy to read. It starts with simple and broad explanation of methods and gradually introduces more technical terms and techniques layer by layer. It finally introduces the underlying mathematical terms for those who want a mathematical foundation of the analytics methods. This book is one of a kind as it provides state of the art in advanced data analytics methods with important best practices to ensure the reader's success in data analytics.



Big Data Analytics Methods


Big Data Analytics Methods
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Author : Peter Ghavami
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2019-12-16

Big Data Analytics Methods written by Peter Ghavami and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-16 with Business & Economics categories.


Big Data Analytics Methods unveils secrets to advanced analytics techniques ranging from machine learning, random forest classifiers, predictive modeling, cluster analysis, natural language processing (NLP), Kalman filtering and ensembles of models for optimal accuracy of analysis and prediction. More than 100 analytics techniques and methods provide big data professionals, business intelligence professionals and citizen data scientists insight on how to overcome challenges and avoid common pitfalls and traps in data analytics. The book offers solutions and tips on handling missing data, noisy and dirty data, error reduction and boosting signal to reduce noise. It discusses data visualization, prediction, optimization, artificial intelligence, regression analysis, the Cox hazard model and many analytics using case examples with applications in the healthcare, transportation, retail, telecommunication, consulting, manufacturing, energy and financial services industries. This book's state of the art treatment of advanced data analytics methods and important best practices will help readers succeed in data analytics.



Modern Analytics Methodologies


Modern Analytics Methodologies
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Author : Michele Chambers
language : en
Publisher: Pearson Education
Release Date : 2014-07-09

Modern Analytics Methodologies written by Michele Chambers and has been published by Pearson Education this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-07-09 with Business & Economics categories.


Create a complete roadmap for capitalizing on analytics to grow topline revenue and build shareholder value in your unique organization! Modern Analytics Methodologies goes far beyond the classic Analytics Maturity Model to help you overcome the gaps between your current analytics capabilities and where you need to go. Pioneering analytics experts Michele Chambers and Thomas Dinsmore help you implement analytics that supports your strategy, aligns with your culture, and serves your customers and stakeholders. Drawing on work with dozens of leading enterprises, Michele Chambers and Thomas Dinsmore describe high-value applications from many industries, and help you systematically identify and deliver on your company's best opportunities. Writing for both professionals and students, they show how to: Leverage the convergence of macro trends ranging from "flattening" and "green" to Big Data and machine learning 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 Modern Analytics Methodologies will be an indispensable resource for any executive or professional concerned with analytics, 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 line-of-business executives.



How Big Data Analytics Can Shape Corporate Strategy


How Big Data Analytics Can Shape Corporate Strategy
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Author : Gabriel Socha
language : en
Publisher: GRIN Verlag
Release Date : 2018-08-16

How Big Data Analytics Can Shape Corporate Strategy written by Gabriel Socha and has been published by GRIN Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-16 with Business & Economics categories.


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.



Sports Data Analytics


Sports Data Analytics
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Author : Mehul S. Raval
language : en
Publisher: Springer Nature
Release Date : 2026-01-01

Sports Data Analytics written by Mehul S. Raval and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2026-01-01 with Computers categories.


In the rapidly evolving world of sports, data has become an invaluable asset, transforming how athletes train, teams strategise, and fans engage. The book delves into the heart of this transformation, offering a comprehensive guide to the latest techniques, applications, and future directions in sports data analytics. The book begins with the fundamentals, introducing key concepts and methodologies for data collection, management, and preprocessing. It then explores various analytical techniques, from descriptive and predictive analytics to advanced AI applications like computer vision and natural language processing. It presents real-world case studies and applications, showcasing how data analytics can enhance in-game strategy, player performance, injury prevention, and fan engagement. Finally, the book addresses emerging technologies, ethical considerations, and the future landscape of sports data analytics.



Information Technology For Management


Information Technology For Management
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Author : Efraim Turban
language : en
Publisher: Wiley
Release Date : 2007-03-05

Information Technology For Management written by Efraim Turban and has been published by Wiley this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-03-05 with Computers categories.


Thoroughly Updated Sixth Edition! Social networks are transforming how people communicate, work, and play. This comprehensive new edition highlights this new technology and scores of others that are changing how organizations operate and compete in the current global environment. The cover depicts two examples of social network. The larger image is a visualization of the trust relationships in a web-based social network. The smaller figures are default avatars from Second Life, a multi-layered, 3D virtual world that is imagined, created, and owned by its residents. See chapter 4 for more information on social networks. For more information on Second Life, visit second life.com or see Second Life: the Official Guide by Rymaszewski et al. at www. sybex.com/go/secondlife For more information on the trust network, visit trust.mindswap.org



The Global Impact Of Renewable Energy And Data Analytics


The Global Impact Of Renewable Energy And Data Analytics
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Author : Kingsley Onyeagusi
language : en
Publisher: GRIN Verlag
Release Date : 2024-01-08

The Global Impact Of Renewable Energy And Data Analytics written by Kingsley Onyeagusi and has been published by GRIN Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-08 with Science categories.


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.



The 7th International Conference Nanotechnology Gtunano


The 7th International Conference Nanotechnology Gtunano
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Author : Levan Chkhartishvili
language : en
Publisher: Trans Tech Publications Ltd
Release Date : 2025-12-03

The 7th International Conference Nanotechnology Gtunano written by Levan Chkhartishvili and has been published by Trans Tech Publications Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-12-03 with Technology & Engineering categories.


Selected peer-reviewed extended articles based on abstracts presented at the 7th International Conference “Nanotechnology” (GTUnano2024) Aggregated Book