Mining New Gold—Managing Your Business Data PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Mining New Gold—Managing Your Business Data PDF full book. Access full book title Mining New Gold—Managing Your Business Data by Penny. Download full books in PDF and EPUB format.
Author: Penny
Publisher: AuthorHouse
ISBN: 154620587X
Category : Business & Economics
Languages : en
Pages : 131
Get Book Here
Book Description
Data 1. What is the data? 2. Can data be validated? Is it accurate? 3. How do we store the data? 4. Is there a way to make money on the data? 5. How does changing expectations of data change your companys future? In this book, we will be reviewing these issues to help business leaders create a path to protecting, using, and storing data that makes sense and to save money, time, and effort.
Author: Penny
Publisher: AuthorHouse
ISBN: 154620587X
Category : Business & Economics
Languages : en
Pages : 131
Get Book Here
Book Description
Data 1. What is the data? 2. Can data be validated? Is it accurate? 3. How do we store the data? 4. Is there a way to make money on the data? 5. How does changing expectations of data change your companys future? In this book, we will be reviewing these issues to help business leaders create a path to protecting, using, and storing data that makes sense and to save money, time, and effort.
Author: Penny Jeffrey and Gillian Garbus
Publisher:
ISBN: 9781546205869
Category : Business & Economics
Languages : en
Pages : 136
Get Book Here
Book Description
Data 1. What is the data? 2. Can data be validated? Is it accurate? 3. How do we store the data? 4. Is there a way to make money on the data? 5. How does changing expectations of data change your company's future? In this book, we will be reviewing these issues to help business leaders create a path to protecting, using, and storing data that makes sense and to save money, time, and effort.
Author: Michael Ballé
Publisher: Lean Enterprise Institute
ISBN: 1934109290
Category : Business & Economics
Languages : en
Pages : 361
Get Book Here
Book Description
"Mike Woods urges his retired father into helping out a friend's failing company. But for Bob Woods, another struggle to introduce lean manufacturing quickly rehashes production battles that he's long since fought. And not even the senior Woods, son Mike, or friend Phil and his colleagues really grasp what's in store for them."--Cover.
Author: R. Boire
Publisher: Springer
ISBN: 1137406194
Category : Business & Economics
Languages : en
Pages : 243
Get Book Here
Book Description
Big Data is a growing business trend, but there little advice available on how to use it practically. Written by a data mining expert with over 30 years of experience, this book uses case studies to help marketers, brand managers and IT professionals understand how to capture and measure data for marketing purposes.
Author: Tobias Baer
Publisher: Apress
ISBN: 1484248856
Category : Computers
Languages : en
Pages : 240
Get Book Here
Book Description
Are algorithms friend or foe? The human mind is evolutionarily designed to take shortcuts in order to survive. We jump to conclusions because our brains want to keep us safe. A majority of our biases work in our favor, such as when we feel a car speeding in our direction is dangerous and we instantly move, or when we decide not take a bite of food that appears to have gone bad. However, inherent bias negatively affects work environments and the decision-making surrounding our communities. While the creation of algorithms and machine learning attempts to eliminate bias, they are, after all, created by human beings, and thus are susceptible to what we call algorithmic bias. In Understand, Manage, and Prevent Algorithmic Bias, author Tobias Baer helps you understand where algorithmic bias comes from, how to manage it as a business user or regulator, and how data science can prevent bias from entering statistical algorithms. Baer expertly addresses some of the 100+ varieties of natural bias such as confirmation bias, stability bias, pattern-recognition bias, and many others. Algorithmic bias mirrors—and originates in—these human tendencies. Baer dives into topics as diverse as anomaly detection, hybrid model structures, and self-improving machine learning. While most writings on algorithmic bias focus on the dangers, the core of this positive, fun book points toward a path where bias is kept at bay and even eliminated. You’ll come away with managerial techniques to develop unbiased algorithms, the ability to detect bias more quickly, and knowledge to create unbiased data. Understand, Manage, and Prevent Algorithmic Bias is an innovative, timely, and important book that belongs on your shelf. Whether you are a seasoned business executive, a data scientist, or simply an enthusiast, now is a crucial time to be educated about the impact of algorithmic bias on society and take an active role in fighting bias. What You'll Learn Study the many sources of algorithmic bias, including cognitive biases in the real world, biased data, and statistical artifact Understand the risks of algorithmic biases, how to detect them, and managerial techniques to prevent or manage them Appreciate how machine learning both introduces new sources of algorithmic bias and can be a part of a solutionBe familiar with specific statistical techniques a data scientist can use to detect and overcome algorithmic bias Who This Book is For Business executives of companies using algorithms in daily operations; data scientists (from students to seasoned practitioners) developing algorithms; compliance officials concerned about algorithmic bias; politicians, journalists, and philosophers thinking about algorithmic bias in terms of its impact on society and possible regulatory responses; and consumers concerned about how they might be affected by algorithmic bias
Author: Sudhi Sinha
Publisher: Packt Publishing Ltd
ISBN: 1783000996
Category : Business & Economics
Languages : en
Pages : 219
Get Book Here
Book Description
If your are interested in the power of Big Data to drive improvement in your business, then this book will help you build and initiate a project for positive change.
Author: Stephan Kudyba
Publisher: IGI Global
ISBN: 9781930708037
Category : Computers
Languages : en
Pages : 184
Get Book Here
Book Description
Annotation Provides an overview of data mining technology and how it is applied in a business environment. Material is not written in a technical style, but rather addresses the applied methodology behind implementing data mining techniques in the corporate environment. Explains how the technology evolved, overviews the methodologies that comprise the data mining spectrum, and looks at everyday business applications for data mining, in areas such as marketing and advertising promotions and pricing policies using econometric-based modeling, and using the Internet to help improve an organization's performance. Kudyba is an economic consultant. Hoptroff is an independent consultant with experience in data mining software. Annotation c. Book News, Inc., Portland, OR (booknews.com).
Author: Peter Ghavami
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3110664062
Category : Business & Economics
Languages : en
Pages : 174
Get Book Here
Book Description
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.
Author: Barry de Ville
Publisher: Digital Press
ISBN: 9781555582425
Category : Computers
Languages : en
Pages : 344
Get Book Here
Book Description
This guide teaches data mining from the perspective of IT professionals using Microsoft data management and e-commerce technologies. The book explains major new data mining capabilities in the forthcoming SQL Server 2000, Microsoft Commerce Server, and other products, and details the new Microsoft standard, "OLE DB for Data Mining".
Author: Ken Withee
Publisher: John Wiley & Sons
ISBN: 0470606347
Category : Computers
Languages : en
Pages : 432
Get Book Here
Book Description
Learn to create an effective business strategy using Microsoft's BI stack Microsoft Business Intelligence tools are among the most widely used applications for gathering, providing access to, and analyzing data to enable the enterprise to make sound business decisions. The tools include SharePoint Server, the Office Suite, PerformancePoint Server, and SQL Server, among others. With so much jargon and so many technologies involved, Microsoft Business Intelligence For Dummies provides a much-needed step-by-step explanation of what's involved and how to use this powerful package to improve your business. Microsoft Business Intelligence encompasses a broad collection of tools designed to help business owners and managers direct the enterprise effectively This guide provides an overview of SharePoint, PerformancePoint, the SQL Server suite, Microsoft Office, and the BI development technologies Explains how the various technologies work together to solve functional problems Translates the buzzwords and shows you how to create your business strategy Examines related technologies including data warehousing, data marts, Online Analytical Processing (OLAP), data mining, reporting, dashboards, and Key Performance Indicators (KPIs) Simplifies this complex package to get you up and running quickly Microsoft Business Intelligence For Dummies demystifies these essential tools for enterprise managers, business analysts, and others who need to get up to speed.
