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  • 1
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Wiley | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (304 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Lead your organization into the industrial revolution of analytics with The Analytics Revolution The topics of big data and analytics continue to be among the most discussed and pursued in the business world today. While a decade ago many people still questioned whether or not data and analytics would help improve their businesses, today virtually no one questions the value that analytics brings to the table. The Analytics Revolution focuses on how this evolution has come to pass and explores the next wave of evolution that is underway. Making analytics operational involves automating and embedding analytics directly into business processes and allowing the analytics to prescribe and make decisions. It is already occurring all around us whether we know it or not. The Analytics Revolution delves into the requirements for laying a solid technical and organizational foundation that is capable of supporting operational analytics at scale, and covers factors to consider if an organization is to succeed in making analytics operational. Along the way, you'll learn how changes in technology and the business environment have led to the necessity of both incorporating big data into analytic processes and making them operational. The book cuts straight through the considerable marketplace hype and focuses on what is really important. The book includes: An overview of what operational analytics are and what trends lead us to them Tips on structuring technology infrastructure and analytics organizations to succeed A discussion of how to change corporate culture to enable both faster discovery of important new analytics and quicker implementation cycles of what is discovered Guidance on how to justify, implement, and govern operational analytics The Analytics Revolution gives you everything you need to implement operational analytic processes with big data.
    Note: Online resource; Title from title page (viewed September 29, 2014)
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  • 2
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (344 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Most of the high-profile cases of real or perceived unethical activity in data science aren’t matters of bad intent. Rather, they occur because the ethics simply aren’t thought through well enough. Being ethical takes constant diligence, and in many situations identifying the right choice can be difficult. In this in-depth book, contributors from top companies in technology, finance, and other industries share experiences and lessons learned from collecting, managing, and analyzing data ethically. Data science professionals, managers, and tech leaders will gain a better understanding of ethics through powerful, real-world best practices. Articles include: Ethics Is Not a Binary Concept—Tim Wilson How to Approach Ethical Transparency—Rado Kotorov Unbiased ≠ Fair—Doug Hague Rules and Rationality—Christof Wolf Brenner The Truth About AI Bias—Cassie Kozyrkov Cautionary Ethics Tales—Sherrill Hayes Fairness in the Age of Algorithms—Anna Jacobson The Ethical Data Storyteller—Brent Dykes Introducing Ethicize™, the Fully AI-Driven Cloud-Based Ethics Solution!—Brian O’Neill Be Careful with "Decisions of the Heart"—Hugh Watson Understanding Passive Versus Proactive Ethics—Bill Schmarzo
    Note: Online resource; Title from title page (viewed August 7, 2020) , Mode of access: World Wide Web.
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  • 3
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 59 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: As more and more data is being collected, concerns are constantly being raised about what data is appropriate to collect and how (or if) it should be analyzed. There are many ethical, privacy, and legal issues to consider, and no clear standards exist in many cases as to what is fair and what is foul. This means that organizations must consider their own principles and risk tolerance in order to implement the right policies. Bill Franks (International Institute For Analytics) explores a range of ethical, privacy, and legal issues that surround analytics today, framing the big questions to consider and detailing some of the trade-offs and ambiguities that must be addressed to answer them. This session was recorded at the 2019 O'Reilly Strata Data Conference in San Francisco.
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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  • 4
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 1 hr., 0 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: The more data we collect, the more concerned we are (or should be) about what data is appropriate and how-or if-it should be analyzed. There are many ethical, privacy, and legal issues to consider, and no clear standards exist as to what's fair and what's foul. This means that in order to implement the right policies, organizations must devise their own principles and tolerance for risk. In this Spotlight on Data , learn about the range of ethical, privacy, and legal issues that surround analytics today. Bill Franks will frame the big questions every successful business must consider while outlining some of the trade-offs and ambiguities they need to address to answer them. Recorded on November 13, 2019. See the original event page for resources for further learning or watch recordings of other past events . O'Reilly Spotlight explores emerging business and technology topics and ideas through a series of one-hour interactive events. In live conversations, participants share their questions and ideas while hearing the experts' unique perspectives, insights, fears, and predictions for the future. In every edition of Spotlight on Data , you'll learn about, discuss, and debate the tools, techniques, questions, and quandaries in the world of data. You'll discover how successful companies leverage data effectively and how you can follow their lead to transform your organization and prepare for the Next Economy.
    Note: Online resource; Title from title screen (viewed February 12, 2020) , Mode of access: World Wide Web.
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  • 5
    Language: English
    Pages: 1 online resource (1 v.) , ill.
    Series Statement: Wiley & SAS business series
    Parallel Title: Erscheint auch als
    Keywords: Data mining ; Database searching ; Electronic books ; Electronic books ; local
    Abstract: You receive an e-mail. It contains an offer for a complete personal computer system. It seems like the retailer read your mind since you were exploring computers on their web site just a few hours prior.... As you drive to the store to buy the computer bundle, you get an offer for a discounted coffee from the coffee shop you are getting ready to drive past. It says that since you're in the area, you can get 10% off if you stop by in the next 20 minutes.... As you drink your coffee, you receive an apology from the manufacturer of a product that you complained about yesterday on your Facebook page, as well as on the company's web site.... Finally, once you get back home, you receive notice of a special armor upgrade available for purchase in your favorite online video game. It is just what is needed to get past some spots you've been struggling with.... Sound crazy? Are these things that can only happen in the distant future? No. All of these scenarios are possible today! Big data. Advanced analytics. Big data analytics. It seems you can't escape such terms today. Everywhere you turn people are discussing, writing about, and promoting big data and advanced analytics. Well, you can now add this book to the discussion. What is real and what is hype? Such attention can lead one to the suspicion that perhaps the analysis of big data is something that is more hype than substance. While there has been a lot of hype over the past few years, the reality is that we are in a transformative era in terms of analytic capabilities and the leveraging of massive amounts of data. If you take the time to cut through the sometimes-over-zealous hype present in the media, you'll find something very real and very powerful underneath it. With big data, the hype is driven by genuine excitement and anticipation of the business and consumer benefits that analyzing it will yield over time. Big data is the next wave of new data sources that will drive the next wave of analytic innovation in business, government, and academia. These innovations have the potential to radically change how organizations view their business. The analysis that big data enables will lead to decisions that are more informed and, in some cases, different from what they are today. It will yield insights that many can only dream about today. As you'll see, there are many consistencies with the requirements to tame big data and what has always been needed to tame new data sources. However, the additio...
    Note: "Foreword by Tom Davenport"--Cover. - Includes bibliographical references and index. - Description based on print version record
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  • 6
    Online Resource
    Online Resource
    Hoboken, New Jersey : John Wiley & Sons, Inc.
    ISBN: 9781119823100 , 1119823102 , 1119823137 , 9781119823131 , 9781119823094
    Language: English
    Pages: 1 online resource , color illustrations
    Parallel Title: Erscheint auch als
    DDC: 658.4/52
    Keywords: Business presentations ; Business Data processing ; Business ; Data processing ; Business presentations ; Electronic books
    Abstract: "This book focuses on common errors that people make when presenting technical data. These errors are magnified when presenting to non-technical audiences. Note that "presenting" in this case applies to both the written/visual presentation one might prepare and to how a person would verbally talk about those written points. While the book will be framed with examples from the analytics and data science space, the points are valid for anyone presenting data and analytics results. The flow of the book will be a series of specific tips. It is anticipated that there will be around 100 tips. Instead of the typical chapter-based format, this book will be broken into sections of general topic areas and then have specific tips within each area. It is anticipated that the topic areas would be of a number such that each has 10 -- 15 tips within it. Given the format, most of the tips will be comprised of just 2 -- 3 pages. Most tips will have a very short (paragraph or two) description of a key point and then a visual of the concept being ignored and a visual of the concept being followed. For example, many people miss simple things like making the number of decimal points consistent across a table. Visually seeing how bad it looks when done wrong will help readers get the point."--
    Note: Includes index. - Description based on online resource; title from digital title page (viewed on March 17, 2022)
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