Описание: This book, first published in 1988, presents a restored Auditor`s Guide, finally available to historians of the early days of professional accountancy, together with the authors` analysis of this important text. The original 1869 book, the first book about auditing from the earliest period of American accountancy, was destroyed.
Автор: Baesens Bart Название: Analytics in a big data world ISBN: 1118892704 ISBN-13(EAN): 9781118892701 Издательство: Wiley Рейтинг: Цена: 6178.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The guide to targeting and leveraging business opportunities using big data & analytics By leveraging big data & analytics, businesses create the potential to better understand, manage, and strategically exploiting the complex dynamics of customer behavior.
Автор: Gunter Wallner Название: Data Analytics Applications in Gaming and Entertainment ISBN: 1138104434 ISBN-13(EAN): 9781138104433 Издательство: Taylor&Francis Рейтинг: Цена: 17609.00 р. Наличие на складе: Нет в наличии.
Описание: Over the last decade big data and data mining has received growing interest and importance in game production to process and draw actionable insights from large volumes of player-related data in order to inform game design, to ensure customer satisfaction, to maximize revenues, and to drive technical innovation.
Описание: Data Mining for Business Analytics: Concepts, Techniques, and Applications in XLMiner(R), Third Edition presents an applied approach to data mining and predictive analytics with clear exposition, hands-on exercises, and real-life case studies.
Автор: C. Keith Harrison, Scott Bukstein Название: Sport Business Analytics ISBN: 1498761267 ISBN-13(EAN): 9781498761260 Издательство: Taylor&Francis Рейтинг: Цена: 19140.00 р. Наличие на складе: Нет в наличии.
Описание:
Developing and implementing a systematic analytics strategy can result in a sustainable competitive advantage within the sport business industry. This timely and relevant book provides practical strategies to collect data and then convert that data into meaningful, value-added information and actionable insights. Its primary objective is to help sport business organizations utilize data-driven decision-making to generate optimal revenue from such areas as ticket sales and corporate partnerships. To that end, the book includes in-depth case studies from such leading sports organizations as the Orlando Magic, Tampa Bay Buccaneers, Duke University, and the Aspire Group.
The core purpose of sport business analytics is to convert raw data into information that enables sport business professionals to make strategic business decisions that result in improved company financial performance and a measurable and sustainable competitive advantage. Readers will learn about the role of big data and analytics in:
Ticket pricing
Season ticket member retention
Fan engagement
Sponsorship valuation
Customer relationship management
Digital marketing
Market research
Data visualization.
This book examines changes in the ticketing marketplace and spotlights innovative ticketing strategies used in various sport organizations. It shows how to engage fans with social media and digital analytics, presents techniques to analyze engagement and marketing strategies, and explains how to utilize analytics to leverage fan engagement to enhance revenue for sport organizations.
Filled with insightful case studies, this book benefits both sports business professionals and students. The concluding chapter on teaching sport analytics further enhances its value to academics.
Автор: Raj & Chandra Deka Название: Cloud Infrastructures For Big Data Analytics ISBN: 1466658649 ISBN-13(EAN): 9781466658646 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 50312.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Clouds are being positioned as the next-generation consolidated, centralised, yet federated IT infrastructure for hosting all kinds of IT platforms and for deploying, maintaining, and managing a wider variety of personal, as well as professional, applications and services.Cloud Infrastructures for Big Data Analytics focuses exclusively on the topic of cloud-sponsored big data analytics for creating flexible and futuristic organisations. This book helps researchers and practitioners, as well as business entrepreneurs, to make informed decisions and consider appropriate action to simplify and streamline the arduous journey towards smarter enterprises.
As data holdings get bigger and questions get harder, data scientists and analysts must focus on the systems, the tools and techniques, and the disciplined process to get the correct answer, quickly Whether you work within industry or government, this book will provide you with a foundation to successfully and confidently process large amounts of quantitative data.
Here are just a dozen of the many questions answered within these pages:
What does quantitative analysis of a system really mean?
What is a system?
What are big data and analystics?
How do you know your numbers are good?
What will the future data science environment look like?
How do you determine data provenance?
How do you gather and process information, and then organize, store, and synthesize it?
How does an organization implement data analytics?
Do you really need to think like a Chief Information Officer?
What is the best way to protect data?
What makes a good dashboard?
What is the relationship between eating ice cream and getting attacked by a shark?
The nine chapters in this book are arranged in three parts that address systems concepts in general, tools and techniques, and future trend topics. Systems concepts include contrasting open and closed systems, performing data mining and big data analysis, and gauging data quality. Tools and techniques include analyzing both continuous and discrete data, applying probability basics, and practicing quantitative analysis such as descriptive and inferential statistics. Future trends include leveraging the Internet of Everything, modeling Artificial Intelligence, and establishing a Data Analytics Support Office (DASO).
Many examples are included that were generated using common software, such as Excel, Minitab, Tableau, SAS, and Crystal Ball. While words are good, examples can sometimes be a better teaching tool. For each example included, data files can be found on the companion website. Many of the data sets are tied to the global economy because they use data from shipping ports, air freight hubs, largest cities, and soccer teams. The appendices contain more detailed analysis including the 10 T's for Data Mining, Million Row Data Audit (MRDA) Processes, Analysis of Rainfall, and Simulation Models for Evaluating Traffic Flow.
Автор: Szabo Gabor, Boykin Oscar Название: Social Media Data Mining and Analytics ISBN: 1118824857 ISBN-13(EAN): 9781118824856 Издательство: Wiley Рейтинг: Цена: 5542.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Harness the power of social media to predict customer behavior and improve sales Social media is the biggest source of Big Data. Because of this, 90% of Fortune 500 companies are investing in Big Data initiatives that will help them predict consumer behavior to produce better sales results. Written by Dr.
Описание: This book starts with an introduction to process modeling and process paradigms, then explains how to query and analyze process models, and how to analyze the process execution data.
Автор: Thuraisingham, Bhavani Parveen, Pallabi Masud, Mohammad Mehedy Khan, Latifur Название: Big data analytics with applications in insider threat detection ISBN: 0367657422 ISBN-13(EAN): 9780367657420 Издательство: Taylor&Francis Рейтинг: Цена: 7348.00 р. Наличие на складе: Нет в наличии.
Описание: Antivirus software uses algorithms to detect viruses Reactively adaptive malware deploys those algorithms to outwit antivirus defenses and to go undetected. This book provides details of the tools, the types of malware the tools will detect, implementation of the tools in a cloud framework, and the applications for insider threat detection.
Автор: Doze Irma, Al Toine Название: Data-Driven HR: Creating Value with HR Metrics and HR Analytics ISBN: 9090321934 ISBN-13(EAN): 9789090321936 Издательство: Неизвестно Рейтинг: Цена: 9282.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Data-Driven HR: Create Value with HR Metrics and HR Analytics
Which job applicants have hidden talents? Which job roles are most prone to long-term absenteeism? Which of your teams really satisfy customers? Many organizations wrestle with these questions, even as they sit atop a treasure trove of valuable information collected by their HR information systems and other business software.
This book, a Dutch best seller now translated into English, shows how to use the data you already have to answer burning questions like these. It demonstrates how you can progressively refine your HR analytics by defining, implementing, and monitoring HR interventions, policy, and strategy. This data-driven approach puts HR in a better position to help the organization improve its performance and increase employees' productivity and job satisfaction. HR metrics and HR analytics help you create value for the organization by: formulating business questions that are relevant to HR; using all available data, including big data; to reveal patterns and correlations within the organization; proactively identifying trends, risks, and opportunities; and developing predictive models.
"HR analytics will be essential for HR to continue to make a critical contribution to organizational strategy in the future." Hein Knaapen, Global HR Director, ING
"HR analytics will be a game-changer in the long term. It will ensure that HRM is based on systematic scientific research that provides evidence of whether something works or not." Jorrit van der Togt, EVP of HR Strategy & Internal Communications, Shell
This book is for anyone who is interested in understanding the advantages of data-driven HR policy and applying data analytics and related disciplines within their own organization and HR practice. Data-driven HR has advantages for all types of commercial, noncommercial, and government organizations. The book has been written with a number of audiences in mind: HR managers and directors, HR business partners, current and future HR analysts, HR consultants, business analysts, controllers and line managers who want to deepen their knowledge of the subject and make use of the opportunities presented by HR analytics to help them do their work.
This edition of the book, the first to appear in English, has also recently been revised to add an updated chapter on privacy and the protection of personal data, information on hypothesis-driven analysis versus data mining, artificial intelligence (AI), machine learning, and self-learning software, and information on the Voice of the Employee.
"This book is one of a kind. It's substantial but deserves kudos for its thoroughness and readability." Mark de Lat, director, Randstad Nederland
Автор: Eftihia G. Nathanail; Ioannis D. Karakikes Название: Data Analytics: Paving the Way to Sustainable Urban Mobility ISBN: 3030023044 ISBN-13(EAN): 9783030023041 Издательство: Springer Рейтинг: Цена: 30491.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book aims at showing how big data sources and data analytics can play an important role in sustainable mobility. It is especially intended to provide academicians, researchers, practitioners and decision makers with a snapshot of methods that can be effectively used to improve urban mobility. The different chapters, which report on contributions presented at the 4th Conference on Sustainable Urban Mobility, held on May 24-25, 2018, in Skiathos Island, Greece, cover different thematic areas, such as social networks and traveler behavior, applications of big data technologies in transportation and analytics, transport infrastructure and traffic management, transportation modeling, vehicle emissions and environmental impacts, public transport and demand responsive systems, intermodal interchanges, smart city logistics systems, data security and associated legal aspects. They show in particular how to apply big data in improving urban mobility, discuss important challenges in developing and implementing analytics methods and provide the reader with an up-to-date review of the most representative research on data management techniques for enabling sustainable urban mobility
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