The Economics of Data, Analytics, and Digital Transformation
The Economics of Data, Analytics, and Digital Transformation

Author: Bill Schmarzo

Publisher: Packt Publishing Ltd

Published: 2020-11-30

Total Pages: 261

ISBN-13: 1800569130

DOWNLOAD EBOOK

Build a continuously learning and adapting organization that can extract increasing levels of business, customer and operational value from the amalgamation of data and advanced analytics such as AI and Machine Learning Key Features Master the Big Data Business Model Maturity Index methodology to transition to a value-driven organizational mindset Acquire implementable knowledge on digital transformation through 8 practical laws Explore the economics behind digital assets (data and analytics) that appreciate in value when constructed and deployed correctly Book Description In today's digital era, every organization has data, but just possessing enormous amounts of data is not a sufficient market discriminator. The Economics of Data, Analytics, and Digital Transformation aims to provide actionable insights into the real market discriminators, including an organization's data-fueled analytics products that inspire innovation, deliver insights, help make practical decisions, generate value, and produce mission success for the enterprise. The book begins by first building your mindset to be value-driven and introducing the Big Data Business Model Maturity Index, its maturity index phases, and how to navigate the index. You will explore value engineering, where you will learn how to identify key business initiatives, stakeholders, advanced analytics, data sources, and instrumentation strategies that are essential to data science success. The book will help you accelerate and optimize your company's operations through AI and machine learning. By the end of the book, you will have the tools and techniques to drive your organization's digital transformation. Here are a few words from Dr. Kirk Borne, Data Scientist and Executive Advisor at Booz Allen Hamilton, about the book: "Data analytics should first and foremost be about action and value. Consequently, the great value of this book is that it seeks to be actionable. It offers a dynamic progression of purpose-driven ignition points that you can act upon." What you will learn Train your organization to transition from being data-driven to being value-driven Navigate and master the big data business model maturity index Learn a methodology for determining the economic value of your data and analytics Understand how AI and machine learning can create analytics assets that appreciate in value the more that they are used Become aware of digital transformation misconceptions and pitfalls Create empowered and dynamic teams that fuel your organization's digital transformation Who this book is for This book is designed to benefit everyone from students who aspire to study the economic fundamentals behind data and digital transformation to established business leaders and professionals who want to learn how to leverage data and analytics to accelerate their business careers.

Data Leadership
Data Leadership

Author: Anthony J. Algmin

Publisher:

Published: 2020-10-14

Total Pages:

ISBN-13: 9780578542706

DOWNLOAD EBOOK

Data has never been more important to your success than it is today, yet you are surrounded with data you can't trust, and the overwhelming burden of fixing it. Everyone deserves data that helps-not hurts-their organization.

R for Data Science
R for Data Science

Author: Hadley Wickham

Publisher: "O'Reilly Media, Inc."

Published: 2016-12-12

Total Pages: 521

ISBN-13: 1491910364

DOWNLOAD EBOOK

Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results

Disrupting Digital Business
Disrupting Digital Business

Author: R "Ray" Wang

Publisher: Harvard Business Review Press

Published: 2015-04-14

Total Pages: 202

ISBN-13: 1625270534

DOWNLOAD EBOOK

Surf the waves of change. We are no longer an economy of products and services. The digital transformation demands that we focus our attention on experiences and outcomes. Business leaders and their organizations must shift to keeping promises—no matter how their customers interact with them. But organizations no longer control the conversation. In this era of social and mobile technology, customers, employees, suppliers, and partners are in direct communication with one another. Those personal networks and the brands they’re passionate about influence their decision making and their spending. The workforce has changed too. Employees expect to be able to determine when and how they will work, the technology they’ll use, and the values their company will espouse. Organizations can take part in this conversation only if they recognize how and where it’s happening. Resisting these changes will leave executives, managers, and their companies powerless. Organizations must pivot with and ahead of these social, organizational, and technological shifts or risk being left behind. Technology guru Ray Wang shows how organizations can surf the waves of change—how they can keep their promises. Current trends, when taken seriously, require a new way of thinking about business that includes five key areas: 1. Consumerization of technology and the new C-suite 2. Data’s influence in driving decisions 3. Digital marketing transformation 4. The future of work 5. Matrix commerce Digital disruption has changed how we do our work. But by mastering these trends you’ll delight your customers with every interaction.

HBR's 10 Must Reads on Leading Digital Transformation (with bonus article "How Apple Is Organized for Innovation" by Joel M. Podolny and Morten T. Hansen)
HBR's 10 Must Reads on Leading Digital Transformation (with bonus article

Author: Harvard Business Review

Publisher: Harvard Business Press

Published: 2021-09-07

Total Pages: 296

ISBN-13: 1647822173

DOWNLOAD EBOOK

Become a digital-first organization—and avoid disruption. If you read nothing else on the principles and practices that lead to successful digital transformation, read these 10 articles. We've combed through hundreds of Harvard Business Review articles and selected the most important ones to help you reinvent your digital strategy, overcome barriers to change, and win in the continuously connected world. This book will inspire you to: Devise an industry-transforming business model Minimize risk using discovery-driven transformation Leverage torrents of data more strategically Prepare your employees for the future of work Prioritize the right initiatives Compete in the age of AI This collection of articles includes "Discovery-Driven Digital Transformation," by Rita McGrath and Ryan McManus; "The Transformative Business Model," by Stelios Kavadias, Kostas Ladas, and Christoph Loch; "Digital Doesn't Have to Be Disruptive," by Nathan Furr and Andrew Shipilov; "What's Your Data Strategy?," by Leandro DalleMule and Thomas H. Davenport; "Competing in the Age of AI," by Marco Iansiti and Karim R. Lakhani; "Building the AI-Powered Organization," by Tim Fountaine, Brian McCarthy, and Tamim Saleh; "How Smart, Connected Products Are Transforming Companies," by Michael E. Porter and James E. Heppelmann; "The Age of Continuous Connection," by Nicolaj Siggelkow and Christian Terwiesch; "The Problem with Legacy Ecosystems," by Maxwell Wessel, Aaron Levie, and Robert Siegel; "Your Workforce Is More Adaptable Than You Think," by Joseph B. Fuller, Judith K. Wallenstein, Manjari Raman, and Alice de Chalendar; "How Apple Is Organized for Innovation," by Joel M. Podolny and Morten T. Hansen; and "Digital Transformation Comes Down to Talent in Four Key Areas," by Thomas H. Davenport and Thomas C. Redman. HBR's 10 Must Reads paperback series is the definitive collection of books for new and experienced leaders alike. Leaders looking for the inspiration that big ideas provide, both to accelerate their own growth and that of their companies, should look no further. HBR's 10 Must Reads series focuses on the core topics that every ambitious manager needs to know: leadership, strategy, change, managing people, and managing yourself. Harvard Business Review has sorted through hundreds of articles and selected only the most essential reading on each topic. Each title includes timeless advice that will be relevant regardless of an ever‐changing business environment.

The Transformation Myth
The Transformation Myth

Author: Gerald C. Kane

Publisher: MIT Press

Published: 2021-09-28

Total Pages: 247

ISBN-13: 0262046067

DOWNLOAD EBOOK

In this business bestseller, how companies can adapt in an era of continuous disruption: a guide to responding to such acute crises as COVID-19. Gold Medalist in Business Disruption/Reinvention. When COVID-19 hit, businesses had to respond almost instantaneously--shifting employees to remote work, repairing broken supply chains, keeping pace with dramatically fluctuating customer demand. They were forced to adapt to a confluence of multiple disruptions inextricably linked to a longer-term, ongoing digital disruption. This book shows that companies that use disruption as an opportunity for innovation emerge from it stronger. Companies that merely attempt to "weather the storm" until things go back to normal (or the next normal), on the other hand, miss an opportunity to thrive. The authors, all experts on business and technology strategy, show that transformation is not a one-and-done event, but a continuous process of adapting to a volatile and uncertain environment. Drawing on five years of research into digital disruption--including a series of interviews with business leaders conducted during the COVID-19 crisis--they offer a framework for understanding disruption and tools for navigating it. They outline the leadership traits, business principles, technological infrastructure, and organizational building blocks essential for adapting to disruption, with examples from real-world organizations. Technology, they remind readers, is not an end in itself, but enables the capabilities essential for surviving an uncertain future: nimbleness, scalability, stability, and optionality.

Analytics Across the Enterprise
Analytics Across the Enterprise

Author: Brenda L. Dietrich

Publisher: IBM Press

Published: 2014-05-15

Total Pages: 223

ISBN-13: 013383588X

DOWNLOAD EBOOK

How to Transform Your Organization with Analytics: Insider Lessons from IBM’s Pioneering Experience Analytics is not just a technology: It is a better way to do business. Using analytics, you can systematically inform human judgment with data-driven insight. This doesn’t just improve decision-making: It also enables greater innovation and creativity in support of strategy. Your transformation won’t happen overnight; however, it is absolutely achievable, and the rewards are immense. This book demystifies your analytics journey by showing you how IBM has successfully leveraged analytics across the enterprise, worldwide. Three of IBM’s pioneering analytics practitioners share invaluable real-world perspectives on what does and doesn’t work and how you can start or accelerate your own transformation. This book provides an essential framework for becoming a smarter enterprise and shows through 31 case studies how IBM has derived value from analytics throughout its business. Coverage Includes Creating a smarter workforce through big data and analytics More effectively optimizing supply chain processes Systematically improving financial forecasting Managing financial risk, increasing operational efficiency, and creating business value Reaching more B2B or B2C customers and deepening their engagement Optimizing manufacturing and product management processes Deploying your sales organization to increase revenue and effectiveness Achieving new levels of excellence in services delivery and reducing risk Transforming IT to enable wider use of analytics “Measuring the immeasurable” and filling gaps in imperfect data Whatever your industry or role, whether a current or future leader, analytics can make you smarter and more competitive. Analytics Across the Enterprise shows how IBM did it--and how you can, too. Learn more about IBM Analytics

Leading with AI and Analytics: Build Your Data Science IQ to Drive Business Value
Leading with AI and Analytics: Build Your Data Science IQ to Drive Business Value

Author: Eric Anderson

Publisher: McGraw Hill Professional

Published: 2020-11-23

Total Pages: 353

ISBN-13: 1260459152

DOWNLOAD EBOOK

Lead your organization to become evidence-driven Data. It’s the benchmark that informs corporate projections, decision-making, and analysis. But, why do many organizations that see themselves as data-driven fail to thrive? In Leading with AI and Analytics, two renowned experts from the Kellogg School of Management show business leaders how to transform their organization to become evidence-driven, which leads to real, measurable changes that can help propel their companies to the top of their industries. The availability of unprecedented technology-enabled tools has made AI (Artificial Intelligence) an essential component of business analytics. But what’s often lacking are the leadership skills to integrate these technologies to achieve maximum value. Here, the authors provide a comprehensive game plan for developing that all-important human factor to get at the heart of data science: the ability to apply analytical thinking to real-world problems. Each of these tools and techniques comes to powerful life through a wealth of powerful case studies and real-world success stories. Inside, you’ll find the essential tools to help you: Develop a strong data science intuition quotient Lead and scale AI and analytics throughout your organization Move from “best-guess” decision making to evidence-based decisions Craft strategies and tactics to create real impact Written for anyone in a leadership or management role—from C-level/unit team managers to rising talent—this powerful, hands-on guide meets today’s growing need for real-world tools to lead and succeed with data.

Lean Analytics
Lean Analytics

Author: Alistair Croll

Publisher: "O'Reilly Media, Inc."

Published: 2024-02-23

Total Pages: 403

ISBN-13: 1098168151

DOWNLOAD EBOOK

Whether you're a startup founder trying to disrupt an industry or an entrepreneur trying to provoke change from within, your biggest challenge is creating a product people actually want. Lean Analytics steers you in the right direction. This book shows you how to validate your initial idea, find the right customers, decide what to build, how to monetize your business, and how to spread the word. Packed with more than thirty case studies and insights from over a hundred business experts, Lean Analytics provides you with hard-won, real-world information no entrepreneur can afford to go without. Understand Lean Startup, analytics fundamentals, and the data-driven mindset Look at six sample business models and how they map to new ventures of all sizes Find the One Metric That Matters to you Learn how to draw a line in the sand, so you'll know it's time to move forward Apply Lean Analytics principles to large enterprises and established products

Leading the e-Learning Transformation of Higher Education
Leading the e-Learning Transformation of Higher Education

Author: Gary Miller

Publisher: Stylus Publishing, LLC.

Published: 2013-12-16

Total Pages: 275

ISBN-13: 1579227961

DOWNLOAD EBOOK

ÿWritten by pioneers in the field of online learning,ÿLeading the e-Learning Transformation of Higher Educationÿis a professional text that offers insights and guidance to the rising generation of leaders in the field of higher education. It explains how to integrate online learning into an institution during a period of rapid social and institutional change. This important volume: ? Shares success stories, interviews, cases and insights from a broad range of leadership styles ? Reviews how technology is transforming higher education worldwide ? Provides an overview of how distance education is organized in a range of institutional settings ? Breaks down current leadership challenges in both unit operations and institutional policy This volume launches the new Stylus series that is aimed at the online learning and distance education market. It offers readers the opportunity to benefit from the collective experience and expertise of top leaders in the field. All of the contributors have held leadership roles in national and international distance education organizations. Five of the contributors have been recognized as Sloan Consortium Fellows in 2010 and they have all collaborated with the Institute for Emerging Leaders in Online Learning. These contributors have helped pave the way and now share their insights, advice, and broad vision with the future leaders of the field.ÿ