Empowered by Data: How to Build Inspired Analytics Communities, Murray Eva
Автор: Galit Shmueli, Peter C. Bruce, Nitin R. Patel Название: Data Mining for Business Analytics: Concepts, Techniques, and Applications with XLMiner ISBN: 1118729277 ISBN-13(EAN): 9781118729274 Издательство: Wiley Рейтинг: Цена: 118270.00 T Наличие на складе: Поставка под заказ. 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: Edge James Название: Lean Analytics: The Ultimate Guide to an Agile Way of Analytics, Advanced Analytics, and Data Science for a Superior Way to Build Star ISBN: 1647483506 ISBN-13(EAN): 9781647483500 Издательство: Неизвестно Рейтинг: Цена: 27580.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Автор: Marr Bernard Название: Data Strategy: How to Profit from a World of Big Data, Analytics and Artificial Intelligence ISBN: 1398602604 ISBN-13(EAN): 9781398602601 Издательство: Неизвестно Цена: 147210.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Master the skills and tools needed to leverage data, create a data-driven strategy and gain the competitive advantage.
Автор: Marr Bernard Название: Data-Driven HR: How to Use Analytics and Metrics to Drive Performance ISBN: 1398693863 ISBN-13(EAN): 9781398693869 Издательство: Неизвестно Рейтинг: Цена: 156330.00 T Наличие на складе: Нет в наличии. Описание: Use data, analytics and metrics to make better HR decisions for your business.
Автор: Marr Bernard Название: Data Strategy: How to Profit from a World of Big Data, Analytics and the Internet of Things ISBN: 1398694614 ISBN-13(EAN): 9781398694613 Издательство: Неизвестно Рейтинг: Цена: 109430.00 T Наличие на складе: Нет в наличии. Описание: BRONZE RUNNER UP: Axiom Awards 2018 - Business Technology Category Less than 0.5 per cent of all data is currently analyzed and used. However, business leaders and managers cannot afford to be unconcerned or sceptical about data. Data is revolutionizing the way we work and it is the companies that view data as a strategic asset that will survive and thrive. Data Strategy is a must-have guide to creating a robust data strategy. Explaining how to identify your strategic data needs, what methods to use to collect the data and, most importantly, how to translate your data into organizational insights for improved business decision-making and performance, this is essential reading for anyone aiming to leverage the value of their business data and gain competitive advantage. Packed with case studies and real-world examples, advice on how to build data competencies in an organization and crucial coverage of how to ensure your data doesn't become a liability, Data Strategy will equip any organization with the tools and strategies it needs to profit from big data, analytics and the Internet of Things.
Автор: Richardson, Vernon Terrell, Katie Teeter, Ryan Название: Ise data analytics for accounting ISBN: 1260571092 ISBN-13(EAN): 9781260571097 Издательство: McGraw-Hill Рейтинг: Цена: 70910.00 T Наличие на складе: Невозможна поставка. Описание: HE Business Econom
Автор: AICPA Название: Data Analytics Modeling Certificate ISBN: 1119696658 ISBN-13(EAN): 9781119696650 Издательство: Wiley Рейтинг: Цена: 703200.00 T Наличие на складе: Поставка под заказ. Описание:
The Data Analytics Modeling Certificate (14.0 CPE Credits) will expand your ability to work with structured and unstructured data to drive a successful analytics practice.
To start, you will learn to define clear business outcomes for your analytics practice to ensure your efforts align with your organization's strategic direction and create value. Next, you will learn data profiling and data cleansing techniques to maintain data quality throughout the data life cycle. You'll practice ETL (extract, transform, load) techniques and work with different data models and analytics tools. Finally, you will learn how to institute sophisticated tools for managing an ongoing enterprise data practice, including tools for data warehousing, managing the data life cycle, and working with structured and unstructured data.
This certificate is Part 3 of the Data Analyst Certificates Bundle - a comprehensive five-part program that provides training and practical guidance on the topic of data analytics.
Note: It is recommended that you complete the Application of Data Analysis Essentials Certificate, or ensure you have equivalent knowledge and skills, before starting this certificate course.
Learning Labs*
This is an interactive learning program that includes bonus hands-on learning labs that will expose you to the tools needed to implement an analytics practice in a practical way and equip you to deploy those tools as needed within your organization. You will practice using various technologies for preparing, analyzing and managing datasets in the real world.
*Time spent on learning labs does not award CPE and completing learning labs is not a requirement for earning the certificate.
WHO WILL BENEFIT
Accounting and finance professionals, especially those interested in learning and applying data analysis techniques to help their organizations make informed, data-driven business decisions.
KEY TOPICS
Defining value and tying analytics to value-driven business cases
Understanding the characteristics of data and how they can be leveraged to gather insights from information
Identifying project constructs for data analytics
Identifying different types of data with which analysts will be expected to interact
Profiling data for accurate analysis initiatives
Understanding tool capabilities for working with data
Cleansing data with appropriate tools to increases analytics accuracy
Managing data quality and integrity
Extracting, transforming, and loading data
Implementing a data warehouse
Managing the data life cycle
Creating and using different types of data models
Tools for working with both structured and unstructured data
LEARNING OBJECTIVES
Identify opportunities, processes, and necessary data for solving analytical problems.
Apply data profiling and data cleansing techniques to available data.
Use data preparation and enrichment tools.
Use ETL (extract, transform, load) tools.
Compare data warehousing techniques.
Use data warehousing and data management tools.
Align the outcomes of your data analytics practice with your organization's strategic direction and create value.
Digital Badge: Your Professional Distinction
Set yourself apart as a future-ready financial professional. Upon completion, you will be awarded with a certificate in the form of a digital badge. Digital badges allow you to distinguish yourself in the marketplace and show your commitment to quality. The badge can be posted to your social media profiles and linked to your resume or email signature, providing maximum visibility to your achievement.
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: 85540.00 T 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.
Автор: Mize Edward Название: Data Analytics: The Ultimate Beginner`s Guide to Data Analytics ISBN: 192599757X ISBN-13(EAN): 9781925997576 Издательство: Неизвестно Рейтинг: Цена: 18350.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
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?
Imagine being a master of data analytics; solving problems quicker and doing work faster than ever before
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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Or if the idea of exploring data analytics that can benefit your work, business, or school sounds appealing...
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: 61880.00 T 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: 59910.00 T 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.
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