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محتوای ارائه شده توسط MIT CISR. تمام محتوای پادکست شامل قسمتها، گرافیکها و توضیحات پادکست مستقیماً توسط MIT CISR یا شریک پلتفرم پادکست آنها آپلود و ارائه میشوند. اگر فکر میکنید شخصی بدون اجازه شما از اثر دارای حق نسخهبرداری شما استفاده میکند، میتوانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal
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Action Academy | Replace The Job You Hate With A Life You Love


1 How To Replace A $100,000+ Salary Within 6 MONTHS Through Buying A Small Business w/ Alex Kamenca & Carley Mitus 57:50
Alex (@alex_kamenca) and Carley (@carleymitus) are both members of our Action Academy Community that purchased TWO small businesses last thursday! Want To Quit Your Job In The Next 6-18 Months Through Buying Commercial Real Estate & Small Businesses? 👔🏝️ Schedule A Free 15 Minute Coaching Call With Our Team Here To Get "Unstuck" Want to know which investment strategy is best for you? Take our Free Asset-Selection Quiz Check Out Our Bestselling Book : From Passive To Passionate : How To Quit Your Job - Grow Your Wealth - And Turn Your Passions Into Profits Want A Free $100k+ Side Hustle Guide ? Follow Me As I Travel & Build: IG @brianluebben ActionAcademy.com…
Replatforming: Securing Board and Top Management Team Buy-In
Manage episode 345463340 series 3409705
محتوای ارائه شده توسط MIT CISR. تمام محتوای پادکست شامل قسمتها، گرافیکها و توضیحات پادکست مستقیماً توسط MIT CISR یا شریک پلتفرم پادکست آنها آپلود و ارائه میشوند. اگر فکر میکنید شخصی بدون اجازه شما از اثر دارای حق نسخهبرداری شما استفاده میکند، میتوانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal
Stephanie Woerner reads MIT CISR's August 2022 research briefing, which she co-authored with Peter Reynolds, Michael Harte, and Peter Weill. See the text version and related content at https://cisr.mit.edu/publication/2022_0801_ExplainingReplatforming_WoernerReynoldsHarteWeill. Abstract: Enterprises today often replatform as part of their efforts to become Future Ready because the state of their existing systems, data, and processes hinders the organization’s ability to compete in the digital economy. In replatforming, an enterprise transitions legacy applications to cloud platforms and digitizes key components and capabilities. It’s critical that the enterprise’s board and top management team embrace replatforming for the effort to be successful; therefore, effectively explaining replatforming to these stakeholders is a skill that technology leaders, and eventually all leaders, must develop. This briefing describes the opportunities and risks of replatforming approaches and illustrates each approach graphically with a platform map.
…
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90 قسمت
Manage episode 345463340 series 3409705
محتوای ارائه شده توسط MIT CISR. تمام محتوای پادکست شامل قسمتها، گرافیکها و توضیحات پادکست مستقیماً توسط MIT CISR یا شریک پلتفرم پادکست آنها آپلود و ارائه میشوند. اگر فکر میکنید شخصی بدون اجازه شما از اثر دارای حق نسخهبرداری شما استفاده میکند، میتوانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal
Stephanie Woerner reads MIT CISR's August 2022 research briefing, which she co-authored with Peter Reynolds, Michael Harte, and Peter Weill. See the text version and related content at https://cisr.mit.edu/publication/2022_0801_ExplainingReplatforming_WoernerReynoldsHarteWeill. Abstract: Enterprises today often replatform as part of their efforts to become Future Ready because the state of their existing systems, data, and processes hinders the organization’s ability to compete in the digital economy. In replatforming, an enterprise transitions legacy applications to cloud platforms and digitizes key components and capabilities. It’s critical that the enterprise’s board and top management team embrace replatforming for the effort to be successful; therefore, effectively explaining replatforming to these stakeholders is a skill that technology leaders, and eventually all leaders, must develop. This briefing describes the opportunities and risks of replatforming approaches and illustrates each approach graphically with a platform map.
…
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90 قسمت
Semua episod
×Barb Wixom reads MIT CISR's April 2025 research briefing, which she co-authored with Nick van der Meulen and Cynthia Beath. See the text version and related content at https://cisr.mit.edu/publication/2025_0401_DataProductMindset_WixomVanderMeulenBeath. Abstract: Today, by adopting a product mindset for data, organizations hold people accountable for the payoff of data investments over time. Data assets and data solutions represent two distinct types of “data products.” Organizations can use three sets of product management practices to more effectively generate returns from their data assets and data solutions: practices for satisfying data consumers, practices for setting prices, and practices for sustaining profits. This briefing illustrates these practices using examples from information businesses.…
Stephanie Woerner reads MIT CISR's March 2025 research briefing, which she co-authored with Peter Weill, Jennifer S. Banner, and James Moore. See the text version and related content at https://cisr.mit.edu/publication/2025_0301_SavvyBoardsUpdate_WeillWoernerBannerMoore Abstract: In 2019, MIT CISR published findings from our research on the digital savviness of company boards that showed 24 percent of boards were digitally savvy and had associated performance premiums. In 2024, we repeated the 2019 board analysis with current companies and found that having a digitally savvy board based on our original criteria was no longer differentiating. However, updating the criteria to account for newer technologies produced results similar to the original analysis. In this briefing we compare the results of these two studies, share insights from interviews of non-executive board directors, and explore how companies use board committees to help manage their work.…
Barb Wixom reads MIT CISR's February 2025 research briefing, which she co-authored with Nick van der Meulen and Cynthia Beath. See the text version and related content at https://cisr.mit.edu/publication/2025_0201_DataMonetizationImpact_vanderMeulenWixomBeath. Abstract: While organizations generally recognize data’s potential to drive business value, many still struggle to realize substantial financial returns from their data monetization strategies. Beyond selecting a strategy, we identified a more critical differentiator for success: data monetization impact. This briefing explores the strategy-specific practices that enable organizations to achieve this impact on strategic business outcomes, providing guidance for leaders seeking to maximize the return on their investments in data initiatives.…
Ina Sebastian reads MIT CISR's January 2025 research briefing, which she co-authored with Stephanie Woerner, Peter Weill, and Daniel Woerner. See the text version and related content at https://cisr.mit.edu/publication/2025_0101_DigitalSustainability_SebastianWoernerWeillWoerner. Abstract: Sustainability is a cost of doing business for many companies today—but it is also an opportunity for creating value. Companies only achieve value, however, by embedding sustainability goals into company strategy and then developing capabilities to advance these goals. Our survey analysis suggested that there are four distinct strategic sustainability goals: compliance and efficiency, customer and investor reputation, new revenue, and company purpose. Companies in the research that pursued strategic sustainability goals beyond compliance and efficiency saw bottom-line impacts such as greater EBIT, more revenues from innovation, and improved customer experience.…
Stephanie Woerner reads MIT CISR's December 2024 research briefing, which she co-authored with Peter Weill and Ina Sebastian. See the text version and related content at https://cisr.mit.edu/publication/2024_1201_EnterpriseAIMaturityModel_WeillWoernerSebastian. Abstract: With so much excitement and hype around AI, we pursued research that would help leaders make sense of the chaos and understand how enterprises create value with AI. This briefing describes the MIT CISR Enterprise AI Maturity model, which depicts four stages of enterprise AI maturity we identified based on a 2022 MIT CISR survey of 721 companies. We found that financial performance improved at each stage, and we pinpointed capabilities an enterprise needs as it progresses through the stages.…
Barb Wixom reads MIT CISR's November 2024 research briefing, which she co-authored with Cynthia Beath and Ja-Naé Duane. See the text version and related content at https://cisr.mit.edu/publication/2024_1101_HighPerformanceDataMonetization_WixomBeathDuane. Abstract: Top-performing organizations invest in three factors that amplify the financial impact of data monetization: CEO-level data leadership, data value management, and data lifecycle measurement. These high-performance factors establish an organizational culture conducive to maximized data monetization. This briefing defines the three factors and then illustrates them using a case study of technology and services company Wolters Kluwer.…
Stephanie Woerner reads MIT CISR's October 2024 research briefing, which she co-authored with Peter Weill, Chris Foglia, and Dorothea Gray. See the text version and related content at https://cisr.mit.edu/publication/2024_1001_MITCISR50Years_WeillWoernerFogliaGray. Abstract: This briefing celebrates the 50th anniversary of the MIT Center for Information Systems Research (CISR). For 50 years MIT CISR has been a trusted partner of senior IT executives—both learning from them and helping them to create more value in their companies. In the past decade MIT CISR has broadened its engagement to top management teams, digital and data leaders, and boards of directors. Weaving together recollections from long-time business and academic colleagues with responses from a ChatGPT query, we describe the five pillars of MIT CISR’s reputation and include seven lessons learned over the years.…
Nick van der Meulen reads MIT CISR's September 2024 research briefing, which he co-authored with Barb Wixom. See the text version and related content at https://cisr.mit.edu/publication/2024_0901_GenAI_VanderMeulenWixom. Abstract: As generative AI (GenAI) becomes more prevalent, organizations are implementing it in two distinct ways: as broadly applicable tools to enhance individual productivity, and as tailored solutions to achieve strategic business objectives. Based on a series of three consecutive virtual roundtable discussions with data and technology executives on the MIT CISR Data Research Advisory Board, this briefing describes both approaches and highlights their unique challenges and management principles for success.…
Peter Weill reads MIT CISR's August 2024 research briefing, which he co-authored with Elizabeth van den Berg, Jason Birnbaum, and Maxime de Planta. See the text version and related content at https://cisr.mit.edu/publication/2024_0801_RealTimeBusiness_WeillvanderBergBirnbaumdePlanta. Abstract: In a study with Insight Partners, we found that companies operating in the top quartile versus the bottom quartile of “real-time-ness” had more than 50 percent higher revenue growth and net margins—a huge premium. The top-quartile companies automated processes and enabled fast decisions by employees at all levels using trusted and easily accessible data. Real-time decision-making enables digital customer journeys that are more seamless, empowered employee experiences, and increased business agility. This briefing describes what it takes to become a real-time business. We dig into the performance premium and illustrate the journey of becoming a real-time business with a case study of United Airlines.…
Barb Wixom reads MIT CISR's July 2024 research briefing, which she co-authored with Ida Someh and Cynthia Beath. See the text version and related content at https://cisr.mit.edu/publication/2024_0701_CemexScalingAI_WixomSomehBeath. Abstract: In recent years, large established organizations have been growing business value by increasing the volume of AI models they have in production, an activity we call scaling AI. MIT CISR research has identified that scaling AI is the result of a learning journey during which an organization learns how to deploy, proliferate, and industrialize AI models. Ideally, the organization builds data liquidity, develops workforce savviness, and leverages scarce resources along the way to achieve AI at scale, which is the state at which organizations cost effectively manage large volumes of interconnected models in production. In this briefing, we describe the AI scaling learning journey at Cemex, a large global construction materials company headquartered near Monterrey, Mexico.…
Martin Mocker reads MIT CISR's June 2024 research briefing, which he co-authored with Ina Sebastian. See the text version and related content at https://cisr.mit.edu/publication/2024_0601_SalesforcePlatformBusiness_MockerSebastian. Abstract: Platform business models have become highly popular; they are used by half of the world’s ten largest companies by market capitalization. The challenge for established companies is that running a platform business is different from running a product business. A platform business requires building an ecosystem of various constituents with differing interests: customers, the company’s internal product teams, and partners. Based on an in-depth case study of Salesforce Platform, this briefing illustrates one approach to balancing the interests of these constituents.…
Barb Wixom reads MIT CISR's May 2024 research briefing, which she co-authored with Cynthia Beath. See the text version and related content at https://cisr.mit.edu/publication/2024_0501_AIEverybodysBusiness_WixomBeath. Abstract: This briefing presents three principles to guide business leaders when making AI investments: invest in practices that build capabilities required for AI, involve all your people in your AI journey, and focus on realizing value from your AI projects. The principles are supported by the MIT CISR data monetization research, and the briefing illustrates them using examples from the Australia Taxation Office and CarMax. The three principles apply to any kind of AI, defined as technology that performs human-like cognitive tasks; subsequent briefings will present management advice distinct to machine learning and generative tools, respectively.…
Nick van der Meulen reads MIT CISR's April 2024 research briefing, which he co-authored with Olgerta Tona and Dorothy Leidner. See the text version and related content at https://cisr.mit.edu/publication/2024_0401_DigitalTalentTransformation_VanderMeulenTonaLeidner. Abstract: Ongoing digital transformation requires a workforce that is proficient in a wide variety of new skills. This briefing explores the use of AI in quantifying such proficiency, through a process known as skills inference. We introduce this concept by means of a case study of Johnson & Johnson, showing how skills inference can provide detailed insight into workforce skills gaps and thereby guide employees’ career development and leaders’ strategic workforce planning.…
Thomas Haskamp reads MIT CISR's March 2024 research briefing, which he co-authored with Ina Sebastian and Stephanie Woerner. See the text version and related content at https://cisr.mit.edu/publication/2024_0301_GreenCIO_SebastianHaskampWoerner. Abstract: Technology leaders in top-performing companies spend significantly more time on building a complementary enterprise capability than their peers. Carbon emission reduction is a top concern for organizations, and therefore developing an enterprise capability for digital sustainability is a compelling opportunity for technology leaders. In our study, technology leaders were building and using an enterprise tracking capability to pursue three opportunities for scaling carbon emission reduction at their companies: optimizing technology emissions and product emissions and creating digital offerings.…
Gayan Benedict reads MIT CISR's February 2024 research briefing, which he co-authored with Ina Sebastian. See the text version and related content at https://cisr.mit.edu/publication/2024_0201_EcosystemGovernance_BenedictSebastian. Abstract: In recent MIT CISR research, organizations saw their most challenging strategic goals as being dependent on the actions of other organizations. Ecosystem governance, like good corporate governance, is a key to achieving these goals. Executives in our research described three governance approaches for digital ecosystems that varied along a spectrum, from centralized, which we have termed “Alpha;” to federated, or “Representative;” to decentralized, or “Liquid.” In this briefing, we introduce these approaches and discuss when ecosystems should adopt more decentralized governance approaches to grow value.…
Stephanie Woerner reads MIT CISR's January 2024 research briefing, which she co-authored with Peter Weill and Gail Evans. See the text version and related content at https://cisr.mit.edu/publication/2024_0101_TechLeaderTime_WeillWoernerEvans. Abstract: As large established companies become increasingly digital, offering connected products and services and leading or participating in ecosystems, their tech leaders must balance many demands and opportunities for their time. And as digital technologies have become pervasive in enterprises, these demands and opportunities often fall outside the traditional CIO role. In this briefing, we share how time allocations for tech leaders have changed over fifteen years, and Gail Evans, a technology leader at Disney Experiences, describes how she allocates her time.…
Stephanie Woerner reads MIT CISR's December 2023 research briefing, which she co-authored with Ina Sebastian and Peter Weill. See the text version and related content at https://cisr.mit.edu/publication/2023_1201_RegainingMomentum_WoernerSebastianWeill. Abstract: Almost every company that we talk to is working on a digital business transformation—but with new opportunities such as generative AI emerging, transformation is becoming one of several ongoing priorities. When we started measuring transformation progress in 2017, companies were making good progress on becoming future ready; but at the end of 2022, transformation efforts were stalling. In this briefing, we examine why transformations stall—and what actions help companies maintain momentum, illustrated by the transformation journey of Dawn Foods. We also share the most recent financial results for future-ready companies.…
Stephanie Woerner reads MIT CISR's November 2023 research briefing, which she co-authored with Alan Thorogood. See the text version and related content at https://cisr.mit.edu/publication/2023_1101_xTechsFastandSafe_ThorogoodWoerner. Abstract: In a digital world, no organization can thrive on its own, and partnerships with xTechs offer powerful opportunities to innovate quickly, although with some risk. In this briefing, the second in a series on xTechs, we describe three mechanisms—delegated decision-making, risk management, and trust—that help large organizations innovate quickly while managing risks. We then illustrate how they do this with a case study of Bendigo and Adelaide Bank.…
Nick van der Meulen reads MIT CISR's October 2023 research briefing, which he co-authored with Cynthia Beath. See the text version and related content at https://cisr.mit.edu/publication/2023_1001_PurposeinAction_VanderMeulenBeath. Abstract: Recent MIT CISR survey data showed that nearly every participating organization had crafted a purpose statement. However, only half had defined the aspirations, propositions, and values that together comprise a comprehensive organizational purpose statement that can become ingrained in leaders’ strategic planning and teams’ decision-making. Drawing on MIT CISR survey data and a case study of Allstate Insurance, this research briefing describes how combining such a comprehensive organizational purpose with decentralized decision-making results in accelerated strategic objective realization and improved financial performance.…
Stephanie Woerner reads MIT CISR's September 2023 research briefing, which she co-authored with Peter Weill. See the text version and related content at https://cisr.mit.edu/publication/2023_0901_DomainOriented_WeillWoerner. Abstract: A domain-oriented company helps serve a customer’s end-to-end need by focusing on customer outcomes rather than on the sales of products and services. In our latest survey, the companies we identified as being domain-oriented were top performers, with a huge premium on revenue growth and net margin. But taking a domain orientation requires a big mindset change of a company. In this briefing we explore what it takes to become a domain-oriented company and illustrate it with examples from Kaiser Permanente, Shopify, and Cemex.…
Barb Wixom, co-author of Data Is Everybody's Business: The Fundamentals of Data Monetization, reads excerpts from the book. Published in September 2023 by the MIT Press, Data Is Everybody's Business is 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.…
Barb Wixom, co-author of Data Is Everybody's Business: The Fundamentals of Data Monetization, reads excerpts from the book. Published in September 2023 by the MIT Press, Data Is Everybody's Business is 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.…
Barb Wixom, co-author of Data Is Everybody's Business: The Fundamentals of Data Monetization, reads excerpts from the book. Published in September 2023 by the MIT Press, Data Is Everybody's Business is 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.…
Barb Wixom, co-author of Data Is Everybody's Business: The Fundamentals of Data Monetization, reads excerpts from the book. Published in September 2023 by the MIT Press, Data Is Everybody's Business is 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.…
Barb Wixom, co-author of Data Is Everybody's Business: The Fundamentals of Data Monetization, reads excerpts from the book. Published in September 2023 by the MIT Press, Data Is Everybody's Business is 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.…
Barb Wixom, co-author of Data Is Everybody's Business: The Fundamentals of Data Monetization, reads excerpts from the book. Published in September 2023 by the MIT Press, Data Is Everybody's Business is 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.…
Barb Wixom, co-author of Data Is Everybody's Business: The Fundamentals of Data Monetization, reads excerpts from the book. Published in September 2023 by the MIT Press, Data Is Everybody's Business is 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.…
Barb Wixom, co-author of Data Is Everybody's Business: The Fundamentals of Data Monetization, reads excerpts from the book. Published in September 2023 by the MIT Press, Data Is Everybody's Business is 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.…
Barb Wixom, co-author of Data Is Everybody's Business: The Fundamentals of Data Monetization, reads excerpts from the book. Published in September 2023 by the MIT Press, Data Is Everybody's Business is 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.…
Barb Wixom, co-author of Data Is Everybody's Business: The Fundamentals of Data Monetization, reads excerpts from the book. Published in September 2023 by the MIT Press, Data Is Everybody's Business is 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.…
Barb Wixom, co-author of Data Is Everybody's Business: The Fundamentals of Data Monetization, reads excerpts from the book. Published in September 2023 by the MIT Press, Data Is Everybody's Business is 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.…
Barb Wixom, co-author of Data Is Everybody's Business: The Fundamentals of Data Monetization, reads excerpts from the book. Published in September 2023 by the MIT Press, Data Is Everybody's Business is 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.…
Stephanie Woerner reads MIT CISR's September 2017 research briefing, which she co-authored with Peter Weill. See the text version and related content at https://cisr.mit.edu/publication/2017_0901_DigitalPathways_WeillWoerner. Abstract: Just about every big old company is on a digital transformation journey, often without a playbook. In this briefing, we provide a digital transformation playbook—at least the first chapter. We answer the questions: what is digital business transformation, what percentage of firms have transformed, and how do they perform? We also share the four viable pathways for transformation and their pros and cons. As the goal for your company is not digital transformation, but rather business transformation using digital capabilities, we finish by providing some advice on how to choose a pathway that will help you achieve your business goals.…
Stephanie Woener reads this MIT CISR research briefing from December 2005, which was authored by Jeanne Ross. See the text version and related content at https://cisr.mit.edu/publication/2005_12_3C_OperatingModels. Abstract: Most companies try to maximize value from IT investments by aligning IT and IT-enabled business processes with business strategy. But strategy rarely offers sufficiently clear direction for development of stable IT and business process capabilities. To make IT a proactive rather than reactive force in creating business value, companies should define an operating model. An operating model specifies the necessary level of business process integration and standardization for the company, defining critical IT and business process capabilities. This briefing explores how a company’s operating model guides IT investment and enhances business agility.…
Stephanie Woener reads this MIT CISR research briefing from July 2004, which was authored by Jeanne Ross. See the text version and related content at https://cisr.mit.edu/publication/2004_07_2B_MaturityMatters. Abstract: To better serve customers and cut operating costs, firms are instituting enterprise-wide efforts to leverage synergies and reap economies of scale. CISR research indicates, however, that before firms can use IT strategically, they must learn how to make IT a strategic competency. A firm’s learning about the strategic role of IT can be represented in four stages of enterprise architecture maturity, with each stage compounding benefits for the firm. In this briefing we describe how firms capture and formalize the learning from each architectural stage so that they can benefit from the current stage and, if appropriate, migrate toward later stages.…
Stephanie Woerner reads MIT CISR's November 2019 research briefing, which was authored by Barb Wixom and Killian Farrell. See the text version and related content at https://cisr.mit.edu/publication/2019_1101_DataMonCapsPersist_WixomFarrell. Abstract: Data monetization—the direct or indirect conversion of data and analytics into financial returns—represents a key source of economic value for companies in the digital economy. This briefing draws on findings from an MIT CISR data monetization survey of 315 executives, sharing insights regarding the current state of data monetization capabilities and their impact on data monetization performance. The briefing explains that data monetization capabilities are evolutionary and specific to the monetization approach, which means that digital leaders must be persistent and purposed as they make capability investments.…
Stephanie Woerner reads MIT CISR's August 2018 research briefing, which she co-authored with Peter Weill and Nick van der Meulen. See the text version and related content at https://cisr.mit.edu/publication/2018_0801_PathwaysExplosions_WeillVanderMeulenWoerner. Abstract: Many companies plan to achieve breakthrough performance via digitally enabled business transformation. They are now in the middle of the hard work of execution—implementing the difficult organizational changes needed to succeed. We call these changes “organizational explosions” because that’s what they feel like; they are significant, disruptive changes that affect most of a company’s customers, employees, and partners. In this briefing we share insights from the digital transformation journeys of companies in our research and we describe the four organizational explosions. We also highlight the impressive differences we observed in performance when we grouped these companies by whether they had completed more or less than 50% of their journey.…
Stephanie Woerner reads MIT CISR's June 2018 research briefing, which was authored by Jeanne Ross, Martin Mocker, and Cynthia Beath. See the text version and related content at https://cisr.mit.edu/publication/2018_0601_BuildingBlocks_RossMockerBeath. Abstract: Established companies face daunting changes as they attempt to introduce digitally inspired customer value propositions. MIT CISR research has identified a set of five building blocks that develop assets essential to delivering digital value propositions. This briefing describes the five building blocks and the practices and tools established companies are relying on to develop their digital assets.…
Stephanie Woerner reads MIT CISR's October 2020 research briefing, which was authored by Barb Wixom, Ina Sebastian, and Robert Gregory. See the text version and related content at https://cisr.mit.edu/publication/2020_1001_DataSharing_WixomSebastianGregory. Abstract: MIT CISR research has found that interorganizational data sharing is a top concern of companies; leaders often find data sharing costly, slow, and risky. Interorganizational data sharing, however, is requisite for new value creation in the digital economy. Digital opportunities require data sharing 2.0: cross-company sharing of complementary data assets and capabilities, which fills data gaps and allows companies, often collaboratively, to develop innovative solutions. This briefing introduces three sets of practices—curated content, designated channels, and repeatable controls—that help companies accelerate data sharing 2.0.…
Stephanie Woerner reads MIT CISR's July 2020 research briefing, which she co-authored with Peter Weill and Michael Harte. See the text version and related content at https://cisr.mit.edu/publication/2020_0701_Replatforming_WeillWoernerHarte. Abstract: Leaders are preparing their enterprises to be Future Ready. Whichever pathways are followed, there is typically a technology hurdle: the systems, data, and processes in the enterprise aren’t fit for becoming Future Ready. Therefore, the enterprise has to replatform, to get from the current “silos and spaghetti” set of systems to a set of Future-Ready platforms. We found four distinct approaches to enterprise replatforming—building an API layer, filling gaps with a partial replacement, migrating to a new Future-Ready platform, or undertaking a core replacement. This briefing will describe and illustrate each approach with an example from financial services, and discuss the financial performance findings.…
Stephanie Woerner reads MIT CISR's January 2020 research briefing, which was authored by Nick van der Meulen and Kristine Dery. See the text version and related content at https://cisr.mit.edu/publication/2020_0101_PathwaysEX_MeulenDery. Abstract: MIT CISR research has shown that senior leaders expect that digital transformation efforts will significantly affect 67 percent of employees. After all, it’s employees who have to adopt new systems, data, processes, and habits to deliver on the transformation. This briefing outlines just how employees are affected, by describing the employee experience along four distinct transformation pathways. We found that employees suffer from increased work complexity when companies follow pathways that prioritize developing customer-oriented capabilities over operational capabilities. Companies can improve their employee experience by first developing a foundation of required operational capabilities, or by doing so in small iterations by alternating with corresponding customer-oriented capabilities.…
Barb Wixom reads MIT CISR's August 2023 research briefing, which she co-authored with Cynthia Beath and Leslie Owens. See the text version and related content at https://cisr.mit.edu/publication/2023_0801_DataMonetization_WixomBeathOwens. Abstract: Our forthcoming book, Data is Everybody’s Business: The Fundamentals of Data Monetization, is mainly about how to create value from data, but for data monetization to occur, any value you create must be realized. Realizing value from data is about converting value created—efficiency or customer value—into money or getting money directly from data by selling it. In this briefing we define the concept of data monetization as it is used throughout the book and describe how to generate financial returns from improving work, wrapping products with data-fueled features and experiences, and selling information solutions.…
Stephanie Woerner reads MIT CISR's July 2023 research briefing, which she co-authored with Peter Weill. See the text version and related content at https://cisr.mit.edu/publication/2023_0701_UnlockingValue_WeillWoerner. Abstract:The top-performing companies on growth in our MIT CISR study used four distinct organizational levers to unlock value. We found that the companies in the top quartile of effectiveness at performing organizational surgery using these four levers were also top financial performers, growing 12 percentage points above their industry average; and leaders in innovation, with 45 percent of their annual revenue coming from new products introduced in the last three years. In this briefing we describe the four levers and illustrate them with examples from financial services companies ANZ and Standard Bank Group.…
Ina Sebastian reads MIT CISR's June 2023 research briefing, which she co-authored with Thomas Haskamp and Nils Fonstad. See the text version and related content at https://cisr.mit.edu/publication/2023_0601_DigitalTransformationMomentum_SebastianHaskampFonstad. MIT CISR research suggests that digital business transformations may be beginning to stall. In 2020, companies reported their transformations were 50 percent complete; but in 2022, transformations had progressed only to 55 percent complete. One key challenge for digital leaders struggling to generate momentum—consistent, ongoing progress—in a transformation is motivating other business leaders to commit to new goals and practices. In this research briefing, we discuss three sources of organizational inertia in digital business transformations, introduce three actions to generate momentum, and illustrate the actions using a case study from WABCO and ZF.…
Randy Bradley reads MIT CISR's May 2023 research briefing, which he co-authored with Barb Wixom and Cynthia Beath. See the text version and related content at https://cisr.mit.edu/publication/2023_0501_InternalDataSharing_BradleyWixomBeath. Organizations with advanced internal data sharing—the ability to easily exchange data assets enterprise-wide—benefit from greater data monetization returns and a lower cost to serve data assets to the organization’s data consumers. This briefing describes three requirements that enable internal data sharing: (1) creating broadly relevant liquid data assets, (2) becoming proficient in both data monetization and cost-to-serve measurement, and (3) developing a highly engaged data democracy. The requirements are illustrated using examples from Amcor, FEMSA, Fidelity Investments, and Scentre Group.…
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