Описание: Lean Analytics is an incredibly popular framework for getting the most out of your business. Using this framework, you`ll be able to understand and master all of the data available to your business so you can build something that the market truly wants.
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.
Data analytics is core to business and decision making. The rapid increase in data volume, velocity and variety offers both opportunities and challenges. While open source solutions to store big data, like Hadoop, offer platforms for exploring value and insight from big data, they were not originally developed with data security and governance in mind. Big Data Management discusses numerous policies, strategies and recipes for managing big data. It addresses data security, privacy, controls and life cycle management offering modern principles and open source architectures for successful governance of big data.
The author has collected best practices from the world’s leading organizations that have successfully implemented big data platforms. The topics discussed cover the entire data management life cycle, data quality, data stewardship, regulatory considerations, data council, architectural and operational models are presented for successful management of big data. The book is a must-read for data scientists, data engineers and corporate leaders who are implementing big data platforms in their organizations.
Автор: Ghavami Peter Название: Big Data Analytics Methods ISBN: 1547417951 ISBN-13(EAN): 9781547417957 Издательство: Walter de Gruyter Рейтинг: Цена: 12831.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
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.
Learn how to use data analytics to improve efficiencies, accelerate growth, and increase sales (even if you know NOTHING)
What if you could leverage the power of data analytics in your job, in your business, or at school?
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Multi-time best selling information technology and mathematics author, Edward Mize, presents the perfect data analytics guide for any beginner. With books and a blog that receives tens of thousands of readers monthly, Edward has compiled the most practical data analytics book for a beginner. Well-known and incredibly popular for his ability to teach hard topics in an easy-to-understand way, you won't have any issues learning (and implementing everything you learn).
Do you feel like your business or work doesn't benefit from the edge of IT, math, and technology?
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THEN THIS BOOK IS FOR YOU
In this book, you will get:
A comprehensive breakdown of everything you learn so that it is easy-to-understand and perfect for anyone who is a beginner.
An understanding of the edge that business intelligence and data analytics plays in the real world today.
An introduction to the different types of data analytics, what it means in the real world, and how you can apply it in your life for better quality and more powerful results.
Edward's personal email address for unlimited customer support if you have any questions
And much, much more...
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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: Hall Cristina, II John R. Mattox, Parskey Peggy Название: Learning Analytics: Using Talent Data to Improve Business Outcomes ISBN: 1789663008 ISBN-13(EAN): 9781789663006 Издательство: Неизвестно Рейтинг: Цена: 9378.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Utilize organizational data and analytics to make better decisions about managing the learning and development of your workforce.
Автор: Hall Cristina, II John R. Mattox, Parskey Peggy Название: Learning Analytics: Using Talent Data to Improve Business Outcomes ISBN: 1789662982 ISBN-13(EAN): 9781789662986 Издательство: Неизвестно Цена: 24622.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Utilize organizational data and analytics to make better decisions about managing the learning and development of your workforce.
Автор: Wolfgang Becker; Patrick Ulrich; Tim Botzkowski Название: Data Analytics im Mittelstand ISBN: 3658065621 ISBN-13(EAN): 9783658065621 Издательство: Springer Рейтинг: Цена: 3988.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Besonderheiten von Entscheidungen im Mittelstand.- Empirische Untersuchung und Methodik.- Rahmenbedingungen.- Strategische Entscheidungsprozesse.- Entscheidungen in den Unternehmensfunktionen.- Entscheidungen in Marketing und Vertrieb.- Entscheidungs- und Unternehmensperformance.- Ableitung von Handlungsempfehlungen.
Название: Business Analytics ISBN: 1466596090 ISBN-13(EAN): 9781466596092 Издательство: Taylor&Francis Рейтинг: Цена: 14545.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book explains how to use business analytics to sort through an ever-increasing amount of data and improve the decision-making capabilities of an organization.
Автор: Thompson, John Rogers, Shawn P. Название: Analytics ISBN: 1634622375 ISBN-13(EAN): 9781634622370 Издательство: Gazelle Book Services Рейтинг: Цена: 6647.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Learn how big data and other sources of information can be transformed into valuable knowledge -- knowledge that can create incredible competitive advantage to propel a business toward market leadership. Learn through examples and experience exactly how to pick projects and build analytics teams that deliver results. Know the ethical and privacy issues, and apply the three-part litmus test of context, permission, and accuracy. Without a doubt, data and analytics are the new source of competitive advantage, but how do executives go from hype to action? Thats the objective of this book -- to assist executives in making the right investments in the right place and at the right time in order to reap the full benefits of data analytics.
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