1# Library to Find Best eBook for Read
Author : Eric T. Peterson
Release : 2004
Genre : Business & Economics
Kind : eBook
Book Rating : 420/5 ( reviews)
Book Synopsis Web Analytics Demystified by : Eric T. Peterson
Download or read book Web Analytics Demystified written by Eric T. Peterson. This book was released on 2004. Available in PDF, EPUB and Kindle. Book excerpt:
Author : David Stephenson
Release : 2018-02-19
Genre : Business & Economics
Kind : eBook
Book Rating : 126/5 ( reviews)
Book Synopsis Big Data Demystified by : David Stephenson
Download or read book Big Data Demystified written by David Stephenson. This book was released on 2018-02-19. Available in PDF, EPUB and Kindle. Book excerpt: The full text downloaded to your computer With eBooks you can: search for key concepts, words and phrases make highlights and notes as you study share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps. Upon purchase, you'll gain instant access to this eBook. Time limit The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed. 'Big Data' refers to a new class of data, to which 'big' doesn't quite do it justice. Much like an ocean is more than simply a deeper swimming pool, big data is fundamentally different to traditional data and needs a whole new approach. Packed with examples and case studies, this clear, comprehensive book will show you how to accumulate and utilise 'big data' in order to develop your business strategy. Big Data Demystified is your practical guide to help you draw deeper insights from the vast information at your fingertips; you will be able to understand customer motivations, speed up production lines, and even offer personalised experiences to each and every customer. With 20 years of industry experience, David Stephenson shows how big data can give you the best competitive edge, and why it is integral to the future of your business.
Author : Piethein Strengholt
Release : 2020-07-29
Genre : Computers
Kind : eBook
Book Rating : 739/5 ( reviews)
Book Synopsis Data Management at Scale by : Piethein Strengholt
Download or read book Data Management at Scale written by Piethein Strengholt. This book was released on 2020-07-29. Available in PDF, EPUB and Kindle. Book excerpt: As data management and integration continue to evolve rapidly, storing all your data in one place, such as a data warehouse, is no longer scalable. In the very near future, data will need to be distributed and available for several technological solutions. With this practical book, you’ll learnhow to migrate your enterprise from a complex and tightly coupled data landscape to a more flexible architecture ready for the modern world of data consumption. Executives, data architects, analytics teams, and compliance and governance staff will learn how to build a modern scalable data landscape using the Scaled Architecture, which you can introduce incrementally without a large upfront investment. Author Piethein Strengholt provides blueprints, principles, observations, best practices, and patterns to get you up to speed. Examine data management trends, including technological developments, regulatory requirements, and privacy concerns Go deep into the Scaled Architecture and learn how the pieces fit together Explore data governance and data security, master data management, self-service data marketplaces, and the importance of metadata
Author : David Vance
Release : 2020-11-17
Genre : Business & Economics
Kind : eBook
Book Rating : 864/5 ( reviews)
Book Synopsis Measurement Demystified by : David Vance
Download or read book Measurement Demystified written by David Vance. This book was released on 2020-11-17. Available in PDF, EPUB and Kindle. Book excerpt: Your Groundbreaking Framework for Measurement and Reporting Most people find measurement, analytics, and reporting daunting—and L&D professionals are no different. As these practices have become critically important for organizations’ efforts to improve performance, talent development professionals have often been slow to embrace them for many reasons, including the seeming complexity and challenge of the practices. Few organizations have a well-thought-out measurement and reporting strategy, and there are often scant resources, limited time, and imperfect data to work with when organizations do attempt to create one. Measurement Demystified: Creating Your L&D Measurement, Analytics, and Reporting Strategy is a much-needed and welcomed resource that breaks new ground with a framework to simplify the discussion of measurement, analytics, and reporting as it relates to L&D and talent development practitioners. This book helps practitioners select and use the right measures for the right reasons; select, create, and use the right types of reports; and create a comprehensive measurement and reporting strategy. Recognizing the angst and reluctance people often show in these areas, authors and experts David Vance and Peggy Parskey break down the practices and processes by providing a common language and an easy-to-use structure. They describe five types of reports, four broad reasons to measure, and three categories of measures. Their method works for large and small organizations, even if yours is an L&D staff of one or two. The guidance remains the same: Start small and grow. Measurement Demystified is a great first book for talent development professionals with no prior knowledge of or experience with measurement and a valuable resource for measurement experts. Those adept at lower levels of training evaluation will grow their knowledge base and capabilities, while measurement experts will discover shortcuts and nuggets of information to enhance their practices. A more comprehensive treatment of these important topics will not be found elsewhere.
Author : Prashant Natarajan
Release : 2017-02-15
Genre : Medical
Kind : eBook
Book Rating : 304/5 ( reviews)
Book Synopsis Demystifying Big Data and Machine Learning for Healthcare by : Prashant Natarajan
Download or read book Demystifying Big Data and Machine Learning for Healthcare written by Prashant Natarajan. This book was released on 2017-02-15. Available in PDF, EPUB and Kindle. Book excerpt: Healthcare transformation requires us to continually look at new and better ways to manage insights – both within and outside the organization today. Increasingly, the ability to glean and operationalize new insights efficiently as a byproduct of an organization’s day-to-day operations is becoming vital to hospitals and health systems ability to survive and prosper. One of the long-standing challenges in healthcare informatics has been the ability to deal with the sheer variety and volume of disparate healthcare data and the increasing need to derive veracity and value out of it. Demystifying Big Data and Machine Learning for Healthcare investigates how healthcare organizations can leverage this tapestry of big data to discover new business value, use cases, and knowledge as well as how big data can be woven into pre-existing business intelligence and analytics efforts. This book focuses on teaching you how to: Develop skills needed to identify and demolish big-data myths Become an expert in separating hype from reality Understand the V’s that matter in healthcare and why Harmonize the 4 C’s across little and big data Choose data fi delity over data quality Learn how to apply the NRF Framework Master applied machine learning for healthcare Conduct a guided tour of learning algorithms Recognize and be prepared for the future of artificial intelligence in healthcare via best practices, feedback loops, and contextually intelligent agents (CIAs) The variety of data in healthcare spans multiple business workflows, formats (structured, un-, and semi-structured), integration at point of care/need, and integration with existing knowledge. In order to deal with these realities, the authors propose new approaches to creating a knowledge-driven learning organization-based on new and existing strategies, methods and technologies. This book will address the long-standing challenges in healthcare informatics and provide pragmatic recommendations on how to deal with them.
