Data Is Everybody S Business

Author : Barbara H. Wixom,Cynthia M. Beath,Leslie Owens
Publisher : MIT Press
Page : 202 pages
File Size : 46,9 Mb
Release : 2023-09-26
Category : Business & Economics
ISBN : 9780262375351

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Data Is Everybody's Business by Barbara H. Wixom,Cynthia M. Beath,Leslie Owens Pdf

A clear, engaging, evidence-based guide to monetizing data, for everyone from employee to board member. Most organizations view data monetization—converting data into money—too narrowly: as merely selling data sets. But data monetization is a core business activity for both commercial and noncommercial organizations, and, within organizations, it’s critical to have wide-ranging support for this pursuit. In Data Is Everybody’s Business, the authors offer a clear and engaging way for people across the entire organization to understand data monetization and make it happen. The authors identify three viable ways to convert data into money—improving work with data, wrapping products with data, and selling information offerings—and explain when to pursue each and how to succeed. Key features of the book: • Grounded in twenty-eight years of academic research, including nine years of research at the MIT Sloan Center for Information Systems Research (MIT CISR) • Definitions of key terms, self-reflection questions, appealing graphics, and easy-to-use frameworks • Rich with detailed case studies • Supplemented by free MIT CISR website resources (cisr.mit.edu) Ideal for organizations engaged in data literacy training, data-driven transformation, or digital transformation, Data Is Everybody’s Business is the essential guide for helping everybody in the organization—not just the data specialists—understand, get excited about, and participate in data monetization.

Author : Barbara Haley Wixom,Cynthia Mathis Beath,Leslie Ann Owens
Publisher : Unknown
Page : 0 pages
File Size : 49,6 Mb
Release : 2023
Category : Big data
ISBN : 0262375346

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Data is Everybody's Business by Barbara Haley Wixom,Cynthia Mathis Beath,Leslie Ann Owens Pdf

"A guide for business leaders to understand the capabilities and strategies necessary to make money from their data"--

Author : Phil Simon
Publisher : John Wiley & Sons
Page : 256 pages
File Size : 55,5 Mb
Release : 2015-11-02
Category : Business & Economics
ISBN : 9781119217848

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Too Big to Ignore by Phil Simon Pdf

Residents in Boston, Massachusetts are automatically reporting potholes and road hazards via their smartphones. Progressive Insurance tracks real-time customer driving patterns and uses that information to offer rates truly commensurate with individual safety. Google accurately predicts local flu outbreaks based upon thousands of user search queries. Amazon provides remarkably insightful, relevant, and timely product recommendations to its hundreds of millions of customers. Quantcast lets companies target precise audiences and key demographics throughout the Web. NASA runs contests via gamification site TopCoder, awarding prizes to those with the most innovative and cost-effective solutions to its problems. Explorys offers penetrating and previously unknown insights into healthcare behavior. How do these organizations and municipalities do it? Technology is certainly a big part, but in each case the answer lies deeper than that. Individuals at these organizations have realized that they don't have to be Nate Silver to reap massive benefits from today's new and emerging types of data. And each of these organizations has embraced Big Data, allowing them to make astute and otherwise impossible observations, actions, and predictions. It's time to start thinking big. In Too Big to Ignore, recognized technology expert and award-winning author Phil Simon explores an unassailably important trend: Big Data, the massive amounts, new types, and multifaceted sources of information streaming at us faster than ever. Never before have we seen data with the volume, velocity, and variety of today. Big Data is no temporary blip of fad. In fact, it is only going to intensify in the coming years, and its ramifications for the future of business are impossible to overstate. Too Big to Ignore explains why Big Data is a big deal. Simon provides commonsense, jargon-free advice for people and organizations looking to understand and leverage Big Data. Rife with case studies, examples, analysis, and quotes from real-world Big Data practitioners, the book is required reading for chief executives, company owners, industry leaders, and business professionals.

Author : Viktor Mayer-Schönberger,Kenneth Cukier
Publisher : Houghton Mifflin Harcourt
Page : 257 pages
File Size : 55,9 Mb
Release : 2013
Category : Business & Economics
ISBN : 9780544002692

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Big Data by Viktor Mayer-Schönberger,Kenneth Cukier Pdf

A exploration of the latest trend in technology and the impact it will have on the economy, science, and society at large.

Author : Andrea Ahlemeyer-Stubbe,Shirley Coleman
Publisher : John Wiley & Sons
Page : 385 pages
File Size : 52,7 Mb
Release : 2018-04-30
Category : Mathematics
ISBN : 9781119125136

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Monetizing Data by Andrea Ahlemeyer-Stubbe,Shirley Coleman Pdf

Practical guide for deriving insight and commercial gain from data Monetising Data offers a practical guide for anyone working with commercial data but lacking deep knowledge of statistics or data mining. The authors — noted experts in the field — show how to generate extra benefit from data already collected and how to use it to solve business problems. In accessible terms, the book details ways to extract data to enhance business practices and offers information on important topics such as data handling and management, statistical methods, graphics and business issues. The text presents a wide range of illustrative case studies and examples to demonstrate how to adapt the ideas towards monetisation, no matter the size or type of organisation. The authors explain on a general level how data is cleaned and matched between data sets and how we learn from data analytics to address vital business issues. The book clearly shows how to analyse and organise data to identify people and follow and interact with them through the customer lifecycle. Monetising Data is an important resource: Focuses on different business scenarios and opportunities to turn data into value Gives an overview on how to store, manage and maintain data Presents mechanisms for using knowledge from data analytics to improve the business and increase profits Includes practical suggestions for identifying business issues from the data Written for everyone engaged in improving the performance of a company, including managers and students, Monetising Data is an essential guide for understanding and using data to enrich business practice.

Author : Nathan Coyle
Publisher : CRC Press
Page : 188 pages
File Size : 48,6 Mb
Release : 2024-06-14
Category : Computers
ISBN : 9781040037287

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Open Data for Everybody by Nathan Coyle Pdf

What if I told you something that could empower our third sector and activists to enhance their capacity? From gathering evidence for funding tenders to campaigning for crucial social issues and much more? It's called open data, yet many in social action remain unaware of it. Primarily shaped by corporate entities, open data seems tailored only for technologists, alienating the third sector. But in reality, it's a powerful tool for social change, bolstering civil society, and creating resilient communities. This book argues a simple point: if open data and the digital aspects that support it aren't accessible to all, then what is the point of it? In an age where technology should be seen as a fundamental human right, it's time to rethink outreach. Deeply rooted in grassroots social activism, this book explores a journey that led to collaborations with governments globally, based on real hands-on work, aiming to democratize open data. Through narrative storytelling, we share insights, best practices, procedures, and community-driven approaches. Regardless of your skill set or organization size, from grassroots workers to third-sector professionals and government officers, join us to reshape the perception of open data, fostering change in neighborhoods. Open Data for Everybody: Using Open Data for Social Good is a love letter to open data's transformative power. To create solutions, understanding the problem is crucial. This book seeks to return control to the real experts—those living and working within our communities.

Author : Alan Bernardo Palacio
Publisher : Packt Publishing Ltd
Page : 314 pages
File Size : 45,6 Mb
Release : 2022-12-02
Category : Computers
ISBN : 9781804618738

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The Art of Data-Driven Business by Alan Bernardo Palacio Pdf

Learn how to make the right decisions for your business with the help of Python recipes and the expertise of data leaders Key FeaturesLearn and practice various clustering techniques to gather market insights Explore real-life use cases from the business world to contextualize your learningWork your way through practical recipes that will reinforce what you have learnedBook Description One of the most valuable contributions of data science is toward helping businesses make the right decisions. Understanding this complicated confluence of two disparate worlds, as well as a fiercely competitive market, calls for all the guidance you can get. The Art of Data-Driven Business is your invaluable guide to gaining a business-driven perspective, as well as leveraging the power of machine learning (ML) to guide decision-making in your business. This book provides a common ground of discussion for several profiles within a company. You'll begin by looking at how to use Python and its many libraries for machine learning. Experienced data scientists may want to skip this short introduction, but you'll soon get to the meat of the book and explore the many and varied ways ML with Python can be applied to the domain of business decisions through real-world business problems that you can tackle by yourself. As you advance, you'll gain practical insights into the value that ML can provide to your business, as well as the technical ability to apply a wide variety of tried-and-tested ML methods. By the end of this Python book, you'll have learned the value of basing your business decisions on data-driven methodologies and have developed the Python skills needed to apply what you've learned in the real world. What you will learnCreate effective dashboards with the seaborn libraryPredict whether a customer will cancel their subscription to a serviceAnalyze key pricing metrics with pandasRecommend the right products to your customersDetermine the costs and benefits of promotionsSegment your customers using clustering algorithmsWho this book is for This book is for data scientists, machine learning engineers and developers, data engineers, and business decision makers who want to apply data science for business process optimization and develop the skills needed to implement data science projects in marketing, sales, pricing, customer success, ad tech, and more from a business perspective. Other professionals looking to explore how data science can be used to improve business operations, as well as individuals with technical skills who want to back their technical proposal with a strong business case will also find this book useful.

Author : Dennis Hirsch,Timothy Bartley,Aravind Chandrasekaran,Davon Norris,Srinivasan Parthasarathy,Piers Norris Turner
Publisher : Springer Nature
Page : 112 pages
File Size : 44,7 Mb
Release : 2023-12-24
Category : Law
ISBN : 9783031214912

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Business Data Ethics by Dennis Hirsch,Timothy Bartley,Aravind Chandrasekaran,Davon Norris,Srinivasan Parthasarathy,Piers Norris Turner Pdf

This open access book explains how leading business organizations attempt to achieve the responsible and ethical use of artificial intelligence (AI) and other advanced information technologies. These technologies can produce tremendous insights and benefits. But they can also invade privacy, perpetuate bias, and otherwise injure people and society. To use these technologies successfully, organizations need to implement them responsibly and ethically. The question is: how to do this? Data ethics management, and this book, provide some answers. The authors interviewed and surveyed data ethics managers at leading companies. They asked why these experts see data ethics as important and how they seek to achieve it. This book conveys the results of that research on a concise, accessible way. Much of the existing writing on data and AI ethics focuses either on macro-level ethical principles, or on micro-level product design and tooling. The interviews showed that companies need a third component: data ethics management. This third element consists of the management structures, processes, training and substantive benchmarks that companies use to operationalize their high-level ethical principles and to guide and hold accountable their developers. Data ethics management is the connective tissue makes ethical principles real. It is the focus of this book. This book should be of use to organizations that wish to improve their own data ethics management efforts, legislators and policymakers who hope to build on existing management practices, scholars who study beyond compliance business behavior, and members of the public who want to understand better the threats that AI poses and how to reduce them.

Author : Andrea Ahlemeyer-Stubbe,Shirley Coleman
Publisher : John Wiley & Sons
Page : 323 pages
File Size : 43,5 Mb
Release : 2014-05-12
Category : Mathematics
ISBN : 9781119977131

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A Practical Guide to Data Mining for Business and Industry by Andrea Ahlemeyer-Stubbe,Shirley Coleman Pdf

Data mining is well on its way to becoming a recognized discipline in the overlapping areas of IT, statistics, machine learning, and AI. Practical Data Mining for Business presents a user-friendly approach to data mining methods, covering the typical uses to which it is applied. The methodology is complemented by case studies to create a versatile reference book, allowing readers to look for specific methods as well as for specific applications. The book is formatted to allow statisticians, computer scientists, and economists to cross-reference from a particular application or method to sectors of interest.

Author : Margarita S. Brose,Mark D. Flood,Dilip Krishna,Bill Nichols
Publisher : Cambridge University Press
Page : 575 pages
File Size : 53,9 Mb
Release : 2014-01-09
Category : Business & Economics
ISBN : 9781107012028

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Handbook of Financial Data and Risk Information II by Margarita S. Brose,Mark D. Flood,Dilip Krishna,Bill Nichols Pdf

A comprehensive resource for understanding the issues involved in collecting, measuring and managing data in the financial services industry.

Author : Saha, Debashis
Publisher : IGI Global
Page : 358 pages
File Size : 42,7 Mb
Release : 2018-05-25
Category : Business & Economics
ISBN : 9781522553243

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Advances in Data Communications and Networking for Digital Business Transformation by Saha, Debashis Pdf

Sustaining a competitive edge in today’s business world requires innovative approaches to product, service, and management systems design and performance. Advances in computing technologies have presented managers with additional challenges as well as further opportunities to enhance their business models. Advances in Data Communications and Networking for Digital Business Transformation is a critical scholarly resource that examines transformative technologies from the perspective of data communication and networking and research challenges faced by the industry and research and development laboratories. Featuring coverage on a broad range of topics such as routing protocols, network visualization, and corporate social responsibility, this book is geared towards executives, managers, academicians, researchers, and students.

Author : Robert S. Seiner
Publisher : Technics Publications
Page : 148 pages
File Size : 47,6 Mb
Release : 2014-09-01
Category : Computers
ISBN : 9781634620451

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Non-Invasive Data Governance by Robert S. Seiner Pdf

Data-governance programs focus on authority and accountability for the management of data as a valued organizational asset. Data Governance should not be about command-and-control, yet at times could become invasive or threatening to the work, people and culture of an organization. Non-Invasive Data Governance™ focuses on formalizing existing accountability for the management of data and improving formal communications, protection, and quality efforts through effective stewarding of data resources. Non-Invasive Data Governance will provide you with a complete set of tools to help you deliver a successful data governance program. Learn how: • Steward responsibilities can be identified and recognized, formalized, and engaged according to their existing responsibility rather than being assigned or handed to people as more work. • Governance of information can be applied to existing policies, standard operating procedures, practices, and methodologies, rather than being introduced or emphasized as new processes or methods. • Governance of information can support all data integration, risk management, business intelligence and master data management activities rather than imposing inconsistent rigor to these initiatives. • A practical and non-threatening approach can be applied to governing information and promoting stewardship of data as a cross-organization asset. • Best practices and key concepts of this non-threatening approach can be communicated effectively to leverage strengths and address opportunities to improve.

Author : Sudhi Sinha
Publisher : Packt Publishing Ltd
Page : 170 pages
File Size : 53,5 Mb
Release : 2014-10-28
Category : Business & Economics
ISBN : 9781783000999

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Making Big Data Work for Your Business by Sudhi Sinha Pdf

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 : Chkoniya, Valentina
Publisher : IGI Global
Page : 653 pages
File Size : 41,7 Mb
Release : 2021-06-25
Category : Computers
ISBN : 9781799869863

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Handbook of Research on Applied Data Science and Artificial Intelligence in Business and Industry by Chkoniya, Valentina Pdf

The contemporary world lives on the data produced at an unprecedented speed through social networks and the internet of things (IoT). Data has been called the new global currency, and its rise is transforming entire industries, providing a wealth of opportunities. Applied data science research is necessary to derive useful information from big data for the effective and efficient utilization to solve real-world problems. A broad analytical set allied with strong business logic is fundamental in today’s corporations. Organizations work to obtain competitive advantage by analyzing the data produced within and outside their organizational limits to support their decision-making processes. This book aims to provide an overview of the concepts, tools, and techniques behind the fields of data science and artificial intelligence (AI) applied to business and industries. The Handbook of Research on Applied Data Science and Artificial Intelligence in Business and Industry discusses all stages of data science to AI and their application to real problems across industries—from science and engineering to academia and commerce. This book brings together practice and science to build successful data solutions, showing how to uncover hidden patterns and leverage them to improve all aspects of business performance by making sense of data from both web and offline environments. Covering topics including applied AI, consumer behavior analytics, and machine learning, this text is essential for data scientists, IT specialists, managers, executives, software and computer engineers, researchers, practitioners, academicians, and students.

Author : Mark W. Mick
Publisher : Unknown
Page : 336 pages
File Size : 54,6 Mb
Release : 1994
Category : Geographic information systems
ISBN : UFL:31262081348285

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Presentation and Proceedings of the Commercial Remote Sensing Program National Workshop by Mark W. Mick Pdf