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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.
"A guide for business leaders to understand the capabilities and strategies necessary to make money from their data"--
Tamara Ghandour, author, podcaster, keynote speaker and founder of innovation training company, LaunchStreet, used to believe that innovation was the domain of a select few, exclusive to certain industries, or relegated to a specific job role. But, as Tamara discovered in her 25 years of work and research, everybody has the capacity to innovate. It's a person's unique innovation style, (which can be assessed and channelled), that can transform inertia into innovation. Drawing on eye-opening data from her proprietary Innovation Quotient Edge Assessment, Innovation is Everybody's Business is for those looking for solutions to the daily pain of "how do I prove my worth," a reality for many people whether they work in the C-Suite or on the front-lines. This book will resonate with those that recognize that being more innovative is their ticket to beingindispensable.It is also for leaders under pressure to build a culture of innovation but don't know how. As organizations face pressure to innovate, the accountability for making it happen falls on senior and mid-level leaders. They are told what to do, but not how to do it. This book will give them a tool to build a team of innovators who make an impact every day in big and small ways.
“This book is a splendid and valuable addition to this subject. The whole book is well written and I have no hesitation to recommend that this can be adapted as a textbook for graduate courses in Business Intelligence and Data Mining.” Dr. Edi Shivaji, Des Moines, Iowa “As a complete novice to this area just starting out on a MBA course I found the book incredibly useful and very easy to follow and understand. The concepts are clearly explained and make it an easy task to gain an understanding of the subject matter.” -- Mr. Craig Domoney, South Africa. Business Intelligence and Data Mining is a conversational and informative book in the exploding area of Business Analytics. Using this book, one can easily gain the intuition about the area, along with a solid toolset of major data mining techniques and platforms. This book can thus be gainfully used as a textbook for a college course. It is also short and accessible enough for a busy executive to become a quasi-expert in this area in a couple of hours. Every chapter begins with a case-let from the real world, and ends with a case study that runs across the chapters.
Despite the statistics, any organization can be sustained. How? By imagining the smallest step with the biggest payoff, and then choosing that one step. This primer helps you imagine ways to free everybody in your organization to do just that, by making it everybody’s business to know and grow the enterprise. Industrial and organizational psychologist Dr. Marta Wilson and her team of experts show how leaders in small businesses, large corporations, government agencies, and military organizations have found their best options by asking this recurring question: What is the smallest step with the biggest return? Wilson believes in the power of asking questions and listening—to customers, employees, suppliers, investors, influencers—as the best way to improve products or services. As the head of your organization, you must initiate dialogue to uncover ideas from each stakeholder’s unique vantage point. The short “Ask Yourself” section in each chapter will jump-start your application of the dialogue tools she provides. Through stories and interviews, Everybody’s Business delivers a big idea to help you usher in maximum workplace productivity, efficiency, effectiveness, and responsiveness—all of which will result in long-term growth.
In the modern world, data is wealth. The world's largest taxi company owns no cars, the world's largest retailer owns no inventory, and the world's largest accommodation provider owns no real estate. What they hold instead is data. And it is data, almost exclusively, which generates them huge revenues. Yet many people have not thought through the implications of how these business models work or where to profit from them. Aimed at business professionals looking to understand and develop business opportunities surrounding data and data storage, "Where Data is Wealth" examines the trends, technology, market direction, and openings currently available. It provides a concise, real-world look at the changing face of data technology and where the best opportunities lie. J. Bruce Daley, an industry insider with more than 30 years in the business, makes a powerful case that whilst compute and networking have traditionally held center stage, the incredible increases in data volumes now means that data and data storage is where to make investments, offer new products and services, or build a career. In turn, he details the hazards of digital wealth (and how it could disappear in an instant!), how a disrupted storage market can make you money, and even help you get a job. "About The Author." J. Bruce Daley writes, speaks, and consults about ways to profit from new software technologies. He helps organizations make better business decisions when buying and implementing technology, advises investors on achieving greater returns from investments, and aids individuals in learning new skills and discovering new opportunities. He also helps technology vendors anticipate new business opportunities, market demands, and customer needs. "Having known and worked with Bruce Daley for many years, I know there are few who know as much about data - and how to apply it to the creation of wealth - than he does." Chris Selland, VP Business Development, Big Data Platform, Hewlett Packard Enterprise. "Software is headed to being silicon.It's not easy to build, but that's not where the value is. Instead the value is going to be in the data the software can acquire and analyze. Bruce's book is a great start on your journey to understanding the power of data." Tim Chou, Author and Lecturer at Stanford University. "In our society you can't be too thin, too rich, or have too much data. This book won't help you lose weight, but it will help you with the other two." Dave Sutton, CEO and Author. "We have triggered an information technology Big Bang. Bruce Daley understands that data is the new gravity for the connected world and what that means in business today." Marc L. Songini, Author, Former High Tech Journalist and Analyst."
Hacked Again details the ins and outs of cybersecurity expert and CEO of a top wireless security tech firm Scott Schober, as he struggles to understand: the motives and mayhem behind his being hacked. As a small business owner, family man and tech pundit, Scott finds himself leading a compromised life. By day, he runs a successful security company and reports on the latest cyber breaches in the hopes of offering solace and security tips to millions of viewers. But by night, Scott begins to realize his worst fears are only a hack away as he falls prey to an invisible enemy. When a mysterious hacker begins to steal thousands from his bank account, go through his trash and rake over his social media identity; Scott stands to lose everything he worked so hard for. But his precarious situation only fortifies Scott's position as a cybersecurity expert and also as a harbinger for the fragile security we all cherish in this digital life. Amidst the backdrop of major breaches such as Target and Sony, Scott shares tips and best practices for all consumers concerning email scams, password protection and social media overload: Most importantly, Scott shares his own story of being hacked repeatedly and bow he has come to realize that the only thing as important as his own cybersecurity is that of his readers and viewers. Part cautionary tale and part cyber self-help guide, Hacked Again probes deep into the dark web for truths and surfaces to offer best practices and share stories from an expert who has lived as both an enforcer and a victim in the world of cybersecurity. Book jacket.
Since the beginning of time, running a business has involved using logic by which the business operates. This logic is called the business model in management science, which increasingly is focusing on issues surrounding business models. Research trends related to business models include value creation, value chain operationalization, and social and ecological aspects, as well as innovation and digital transformation. Business Models: Innovation, Digital Transformation, and Analytics examines how innovation, digital transformation, and the composition of value affect the existence and development of business models. The book starts by addressing the conceptual development of business models and by discussing the essence of innovation in those models. Chapters in the book investigate how: Business models can analyze digital transformation scenarios Individual business model elements effect selected performance measures as well as how the elements are significant for the enterprise value composition The environment effects the profitability of the high-growth enterprise business models Employer branding business models are perceived by the generation Z workforce To implement responsible business models in the enterprise Cyber risk is captured in business models Decision algorithms are important to business analytics This book is a compendium of knowledge about the use of business models in the context of innovative activities, digital transformation, and value composition. It attempts to combine the theory and practice and offers a look at business models currently used in companies, especially high-growth enterprises, in various countries of the world and indicates the prospects for their development.
"The chapters in this volume offer useful case studies, technical roadmaps, lessons learned, and a few prescriptions todo this, avoid that.'"-From the Foreword by Joe LaCugna, Ph.D., Enterprise Analytics and Business Intelligence, Starbucks Coffee CompanyWith the growing barrage of "big data," it becomes vitally important for organizations to mak
Data Mining for Business Applications presents the state-of-the-art research and development outcomes on methodologies, techniques, approaches and successful applications in the area. The contributions mark a paradigm shift from “data-centered pattern mining” to “domain driven actionable knowledge discovery” for next-generation KDD research and applications. The contents identify how KDD techniques can better contribute to critical domain problems in theory and practice, and strengthen business intelligence in complex enterprise applications. The volume also explores challenges and directions for future research and development in the dialogue between academia and business.