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| data driven business transformation: Data Driven Business Transformation Peter Jackson, Caroline Carruthers, 2019-03-25 OPTIMIZE YOUR BUSINESS DATA FOR FIRST-CLASS RESULTS Data Driven Business Transformation illustrates how to find the secrets to fast adaptation and disruptive origination hidden in your data and how to use them to capture market share. Digitalisation – or the Digital Revolution – was the first step in an evolving process of analysis and improvement in the operations and administration of commerce. The popular author team of Caroline Carruthers and Peter Jackson, two global leaders in data transformation and education, pick up the conversation here at the next evolutionary step where data from these digital systems generates value, and really use data science to produce tangible results. Optimise the performance of your company through data-driven processes by: Following step-by-step guidance for transitioning your company in the real world to run on a data-enabled business model Mastering a versatile set of data principles powerful enough to produce transformative results at any stage of a business’s development Winning over the hearts of your employees and influencing a cultural shift to a data-enabled business Reading first-hand stories from today’s thought leaders who are shaping data transformation at their companies Enable your company’s data to lift profits with Data Driven Business Transformation. |
| data driven business transformation: The Chief Data Officer's Playbook Caroline Carruthers, Peter Jackson, 2020-12-20 This fully revised and updated edition of the bestselling Chief Data Officer’s Playbook offers new insights into the role of the CDO and the data environment. Written by two of the world’s leading experts in data driven transformation, it addresses the changes that have taken place in ‘data’, in the role of the ‘CDO’, and the expectations and ambitions of organisations. Most importantly, it will place the role of the CDO into the context of a c-suite player for organisations that wish to recover quickly and with long-term stability from the current global economic downturn. New coverage includes: - the evolution of the CDO role, what those changes mean for organisations and individuals, and what the future might hold - a focus on ethics, the data revolution and all the areas that help readers take their first steps on the data journey - new conversations and experiences from an alumni of data leaders compiled over the past three years - new chapters and reflections on being a third generation CDO and on working across a broad spectrum of organisations who are all on different parts of their data journey. Written in a highly accessible and practical manner, The Chief Data Officer’s Playbook, Second Edition brings the most up-to-date guidance to CDO’s who wish to understand their position better; to those aspiring to become CDO’s; to those who might be recruiting a CDO and to recruiters to understand an organisation seeking a CDO and the CDO landscape. |
| data driven business transformation: Data Driven Business Transformation Peter Jackson, Caroline Carruthers, 2019-05-28 OPTIMIZE YOUR BUSINESS DATA FOR FIRST-CLASS RESULTS Data Driven Business Transformation illustrates how to find the secrets to fast adaptation and disruptive origination hidden in your data and how to use them to capture market share. Digitalisation – or the Digital Revolution – was the first step in an evolving process of analysis and improvement in the operations and administration of commerce. The popular author team of Caroline Carruthers and Peter Jackson, two global leaders in data transformation and education, pick up the conversation here at the next evolutionary step where data from these digital systems generates value, and really use data science to produce tangible results. Optimise the performance of your company through data-driven processes by: Following step-by-step guidance for transitioning your company in the real world to run on a data-enabled business model Mastering a versatile set of data principles powerful enough to produce transformative results at any stage of a business’s development Winning over the hearts of your employees and influencing a cultural shift to a data-enabled business Reading first-hand stories from today’s thought leaders who are shaping data transformation at their companies Enable your company’s data to lift profits with Data Driven Business Transformation. |
| data driven business transformation: Enterprise Data at Huawei Yun Ma, Hao Du, 2021-11-22 This book systematically introduces the data governance and digital transformation at Huawei, from the perspectives of technology, process, management, and so on. Huawei is a large global enterprise engaging in multiple types of business in over 170 countries and regions. Its differentiated operation is supported by an enterprise data foundation and corresponding data governance methods. With valuable experience, methodology, standards, solutions, and case studies on data governance and digital transformation, enterprise data at Huawei is ideal for readers to learn and apply, as well as to get an idea of the digital transformation journey at Huawei. This book is organized into four parts and ten chapters. Based on the understanding of “the cognitive world of machines,” the book proposes the prospects for the future of data governance, as well as the imaginations about AI-based governance, data sovereignty, and building a data ecosystem. |
| data driven business transformation: Data Driven DJ Patil, Hilary Mason, 2015-01-05 Succeeding with data isn’t just a matter of putting Hadoop in your machine room, or hiring some physicists with crazy math skills. It requires you to develop a data culture that involves people throughout the organization. In this O’Reilly report, DJ Patil and Hilary Mason outline the steps you need to take if your company is to be truly data-driven—including the questions you should ask and the methods you should adopt. You’ll not only learn examples of how Google, LinkedIn, and Facebook use their data, but also how Walmart, UPS, and other organizations took advantage of this resource long before the advent of Big Data. No matter how you approach it, building a data culture is the key to success in the 21st century. You’ll explore: Data scientist skills—and why every company needs a Spock How the benefits of giving company-wide access to data outweigh the costs Why data-driven organizations use the scientific method to explore and solve data problems Key questions to help you develop a research-specific process for tackling important issues What to consider when assembling your data team Developing processes to keep your data team (and company) engaged Choosing technologies that are powerful, support teamwork, and easy to use and learn |
| data driven business transformation: Strategic Digital Transformation Alex Fenton, Gordon Fletcher, Marie Griffiths, 2019-11-25 Emerging technologies are having a profound impact upon business as individuals and organisations increasingly embrace the benefits of the ‘always on’ attitude that digital technologies produce. The use of the web, apps, cloud storage, GPS and Internet-connected devices has transformed the way we live, learn, play and interact – yet how a business can fully benefit from this transformation is not always clear. In response, this book enables students and business leaders to take a strategic and sustainable approach to realising the value of digital technologies. It offers results-driven solutions that successfully transform organisations into data-driven, people-focused businesses capable of sustainably competing at a global level. Split across four key parts, the material moves through understanding digital business to planning, implementing and assessing digital transformation. The current challenges facing all small organisations, including limited resources, financial pressures and the lack of dedicated IT departments, are explored. The authors consider the ways in which innovation can increase competitive advantage, how innovative business models can create new opportunities and how a data-driven perspective can release embedded value within the organisation. Contemporary international case studies and examples throughout each chapter bridge theory with practical application and systematically document the patterns of activities that enable success. This textbook is a vital resource for postgraduate and undergraduate students of digital business, innovation and transformation. By showing how to initiate digital transformation across an organisation, it will prepare business owners, directors and management of small- and medium-sized businesses to take strategic advantage of new and emerging technologies to stay ahead of their competition. |
| data driven business transformation: Data-Based Decision Making and Digital Transformation Daniel J. Power, Ciara Heavin, 2018-05-31 Digital disruption is accelerating. Implementing a successful digital transformation strategy requires that senior managers make trade-off decisions to reinvent a business. Equally important all decision makers must learn to ask the right questions, use data and computer support in decision making, and increase their knowledge and skills. Creating a data-centric culture and rewarding data-based decision making leads to successful digital transformation. Join the digital journey. This book is targeted at managers, especially middle-level managers who are trying to come to grips with using data-based decision making in a transforming organization. The authors explore a number of broad questions including: How can managers become data-based decision makers? How can digital transformation become part of an organizational strategy? What new skills do managers need to implement digital transformation? How will we know an organization has been successfully transformed? |
| data driven business transformation: Fail Fast, Learn Faster Randy Bean, 2021-08-31 Explore why — now more than ever — the world is in a race to become data-driven, and how you can learn from examples of data-driven leadership in an Age of Disruption, Big Data, and AI In Fail Fast, Learn Faster: Lessons in Data-Driven Leadership in an Age of Disruption, Big Data, and AI, Fortune 1000 strategic advisor, noted author, and distinguished thought leader Randy Bean tells the story of the rise of Big Data and its business impact – its disruptive power, the cultural challenges to becoming data-driven, the importance of data ethics, and the future of data-driven AI. The book looks at the impact of Big Data during a period of explosive information growth, technology advancement, emergence of the Internet and social media, and challenges to accepted notions of data, science, and facts, and asks what it means to become data-driven. Fail Fast, Learn Faster includes discussions of: The emergence of Big Data and why organizations must become data-driven to survive Why becoming data-driven forces companies to think different about their business The state of data in the corporate world today, and the principal challenges Why companies must develop a true data culture if they expect to change Examples of companies that are demonstrating data-driven leadership and what we can learn from them Why companies must learn to fail fast and learn faster to compete in the years ahead How the Chief Data Officer has been established as a new corporate profession Written for CEOs and Corporate Board Directors, data professional and practitioners at all organizational levels, university executive programs and students entering the data profession, and general readers seeking to understand the Information Age and why data, science, and facts matter in the world in which we live, Fail Fast, Learn Faster p;is essential reading that delivers an urgent message for the business leaders of today and of the future. |
| data driven business transformation: Creating a Data-Driven Organization Carl Anderson, 2015-07-23 What do you need to become a data-driven organization? Far more than having big data or a crack team of unicorn data scientists, it requires establishing an effective, deeply-ingrained data culture. This practical book shows you how true data-drivenness involves processes that require genuine buy-in across your company ... Through interviews and examples from data scientists and analytics leaders in a variety of industries ... Anderson explains the analytics value chain you need to adopt when building predictive business models--Publisher's description. |
| data driven business transformation: The Data Driven Leader Jenny Dearborn, David Swanson, 2017-10-06 Data is your most valuable leadership asset—here's how to use it The Data Driven Leader presents a clear, accessible guide to solving important leadership challenges through human resources-focused and other data analytics. This engaging book shows you how to transform the HR function and overall organizational effectiveness by using data to make decisions grounded in facts vs. opinions, identify root causes behind your company’s thorniest problems and move toward a winning, future-focused business strategy. Realistic and actionable, this book tells the story of a successful sales executive who, after leading an analytics-driven turnaround (in Data Driven, this book’s predecessor), faces a new turnaround challenge as chief human resources officer. Each chapter features insightful commentary and practical notes on the points the story raises, guiding you to put HR analytics into action in your organization. HR and other leaders cannot afford to overlook the power and competitive advantages of data-driven decision-making and strategies. This book reflects the growing trend of CEOs choosing analytics-minded business leaders to head HR, at a time when workplaces everywhere face game-changing forces including automation, robotics and artificial intelligence. It is urgent that human resources leaders embrace analytics, not only to remain professionally relevant but also to help their organizations successfully navigate this digital transformation. HR professionals can and must: Understand essential data science principles and corporate analytics models Identify and execute effective data analytics initiatives Boost HR and company productivity and performance with metrics that matter Shape an analytics-centric culture that generates data driven leaders Most organizations capture and report data, but data is useless without analysis that leads to action. The Data Driven Leader shows you how to use this tremendous asset to lead your organization higher. |
| data driven business transformation: EDGE Jim Highsmith, Linda Luu, David Robinson, 2019-08-02 EDGE: The Agile Operating Model That Will Help You Successfully Execute Your Digital Transformation “[The authors’] passion for technology allows them to recognize that for most enterprises in the 21st century, technology is THE business. This is what really separates the EDGE approach. It is a comprehensive operating model with technology at its core.” —From the Foreword by Heidi Musser, Executive Vice President and Principal Consultant, Leading Agile; retired, Vice President and CIO, USAA Maximum innovation happens at the edge of chaos: the messy, risky, and uncertain threshold between randomness and structure. Operating there is uncomfortable but it’s where organizations “invent the future.” EDGE is a set of fast, iterative, adaptive, lightweight, and value-driven tools to achieve digital transformation, and EDGE: Value-Driven Digital Transformation is your guide to using this operating model for innovation. Jim Highsmith is one of the world’s leading agile pioneers and a coauthor of the Agile Manifesto. He, Linda Luu, and David Robinson know from their vast in-the-trenches experience that sustainable digital transformation requires far more than adopting isolated agile practices or conventional portfolio management. This hard, indispensable work involves changing culture and mindset, and going beyond transforming the IT department. EDGE embraces an adaptive mindset in the face of market uncertainty, a visible, value-centered portfolio approach that encourages continual value linkages from vision to detailed initiatives, incremental funding that shifts as strategies evolve, collaborative decision-making, and better risk mitigation. This guide shows leaders how to use the breakthrough EDGE approach to go beyond incremental improvement in a world of exponential opportunities. Build an organization that adapts fast enough to thrive Clear away unnecessary governance processes, obsolete “command and control” leadership approaches, and slow budgeting/planning cycles Improve collaboration when major, fast-paced responses are necessary Continually optimize investment allocation and monitoring based on your vision and goals Register your product for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details. |
| data driven business transformation: Data-Driven Business Models for the Digital Economy Rado Kotorov, 2019-12-15 Competitive success in the old economy was determined by accumulation, aggregation, and concentration of physical resources. Success in today's new digital economy is achieved by disaggregation and scale. The most strategic resource is data and the most important managerial tools are data management and analytics. Digital companies own no physical resources and manage less assets and people; and, yet, they achieve larger market share and higher market capitalizations. Using data to disaggregate every aspect of the business in order to manage based on micro-trends, the digital companies achieve unprecedented concentration of demand for their data products and services. |
| data driven business transformation: Data-Driven Business Models for the Digital Economy Rado Kotorov, 2020-04-21 Today the fastest growing companies have no physical assets. Instead, they create innovative digital products and new data-driven business models. They capture huge market share fast and their capitalizations skyrocket. The success of these digital giants is pushing all companies to rethink their business models and to start digitizing their products and services. Whether you are a new start-up building a digital product or service, or an employee of an established company that is transitioning to digital, you need to consider how digitization has transformed every aspect of management. Data-driven business models scale not through asset accumulation and product standardization, but through disaggregation of supply and demand. The winners in the new economy master the demand for one and the supply to millions. Throughout the book the author illustrates with examples and use cases how the market competition has changed and how companies adept to the new rules of the game. The economic levers of scale and scope are also different in the digital economy and companies have to learn new tactics how to achieve and sustain their competitive advantage. While data is at the core of all digital business models, the monetization strategies vary across products, services and business models. Our Monetization Matrix is a model that helps managers, marketers, sales professionals, and technical product designers to align the digital product design with the data-driven business model. |
| data driven business transformation: Data Driven Jenny Dearborn, 2015-02-02 A how-to guide to boosting sales through predictive and prescriptive analytics Data Driven is a uniquely practical guide to increasing sales success, using the power of data analytics. Written by one of the world's leading authorities on the topic, this book shows you how to transform the corporate sales function by leveraging big data into better decision-making, more informed strategy, and increased effectiveness throughout the organization. Engaging and informative, this book tells the story of a newly hired sales chief under intense pressure to deliver higher performance from her team, and how data analytics becomes the ultimate driver behind the sales function turnaround. Each chapter features insightful commentary and practical notes on the points the story raises, and one entire chapter is devoted solely to laying out the Prescriptive Action Model step-by-step giving you the actionable guidance you need to put it into action in your own organization. Predictive and prescriptive analytics is poised to change corporate sales, and companies that fail to adapt to the new realities and adopt the new practices will be left behind. This book explains why the Prescriptive Action Model is the key corporate sales weapon of the 21st Century, and how you can implement this dynamic new resource to bring value to your business. Exploit one of the last remaining sources of competitive advantage Re-engineer the sales function to optimize success rates Implement a more effective analytics model to drive efficient change Boost operational effectiveness and decision making with big data There are fewer competitive edges to gain than ever before. The only thing that's left is to execute business with maximum efficiency and make the smartest business decisions possible. Predictive analytics is the essential method behind this new standard, and Data Driven is the practical guide to complete, efficient implementation. |
| data driven business transformation: Demand-Driven Business Strategy Cor Molenaar, 2022-02-23 Demand-Driven Business Strategy explains the ways of transforming business models from supply driven to demand driven through digital technologies and big data analytics. The book covers important topics such as digital leadership, the role of artificial intelligence, and platform firms and their role in business model transformation. Students are walked through the nature of supply- and demand-driven models and how organizations transform from one to the other. Theoretical insights are combined with real-world application through global case studies and examples from Amazon, Google, Uber, Volvo and Picnic. Chapter objectives and summaries provide consistent structure and aid learning, whilst reflective questions encourage further thought and discussion. Comprehensive and practical, this is an essential text for advanced undergraduate and postgraduate students studying strategic management, marketing, business innovation, consumer behavior, digital transformation and entrepreneurship. |
| data driven business transformation: Data Leadership Anthony J. Algmin, 2020-10-14 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. |
| data driven business transformation: Digital Enterprise Transformation Axel Uhl, Lars Alexander Gollenia, 2016-04-22 The integration of technological innovations, such as In-Memory Analytics, Cloud Computing, Mobile Connectivity, and Social Media, with business practice can enable significant competitive advantage. In order to embrace recent challenges and changes in the governance of IT strategies, SAP and its think tank - the Business Transformation Academy (BTA) - have jointly developed the Digital Capability Framework (DCF). Digital Enterprise Transformation: A Business-Driven Approach to Leveraging Innovative IT by Axel Uhl and Lars Alexander Gollenia outlines the DCF which comprises six specific capabilities: Innovation Management, Transformation Management, IT Excellence, Customer Centricity, Effective Knowledge Worker, and Operational Excellence. In cooperation with the University of Applied Sciences and Arts Northwestern Switzerland, University of St. Gallen (Switzerland), Queensland University of Technology (Australia), University of Liechtenstein (Principality of Liechtenstein), and Karlsruhe Institute of Technology (Germany), SAP and the BTA have been validating each capability and the corresponding maturity models based on analyzing several ’lighthouse’ case studies comprising: SAMSUNG, IBM, Finanz Informatik, The Walt Disney Company, Google Inc., HILTI AG. Digital Enterprise Transformation presents how these companies take advantage of innovative IT and how they develop their digital capabilities. On top the authors also develop and present a range of novel yet hands-on Digital Use Cases for a number of different industries which have emerged from innovative technological trends such as: Big Data, Cloud Computing, 3D Printing and Internet of Things. |
| data driven business transformation: Programmatic Advertising Oliver Busch, 2015-11-26 This fundamental guide on programmatic advertising explains in detail how automated, data-driven advertising really works in practice and how the right adoption leads to a competitive advantage for advertisers, agencies and media. The new way of planning, steering and measuring marketing may still appear complex and threatening but promising at once to most decision makers. This collaborative compendium combines proven experience and best practice in 22 articles written by 45 renowned experts from all around the globe. Among them Dr. Florian Heinemann/Project-A, Peter Würtenberger/Axel-Springer, Deirdre McGlashan/MediaCom, Dr. Marc Grether/Xaxis, Michael Lamb/MediaMath, Carolin Owen/IPG, Stefan Bardega/Zenith, Arun Kumar/Cadreon, Dr. Ralf Strauss/Marketingverband, Jonathan Becher/SAP and many more great minds. |
| data driven business transformation: IT-Driven Business Models Henning Kagermann, Hubert Osterle, John M. Jordan, 2010-11-09 A look at business model innovation's crucial role in today's global business environment. Showing organizations how business model innovation should be a key focus area in today's global economy, this book features cases from businesses around the globe that have developed customized business models and achieved spectacular levels of performance. Case examples from well-known innovation leaders IKEA, Apple, Tata, SHARP, Saudi Aramco, De Beers, Telefonica, Valero Energy, LEGO, and Proctor & Gamble Shows businesses how to get beyond traditional business models to take better advantage of emerging opportunities Coauthored by former CEO of SAP AG, the world's largest provider of enterprise software Filled with interviews with key executives, this book reveals the role of technology in driving and enabling changes to fundamental facets of a business. Companies around the world are innovating their business models with tremendous results. IT-Driven Business Models shows interested organizations how they can start the process. |
| data driven business transformation: Beyond Digital Paul Leinwand, Mahadeva Matt Mani, 2022-01-04 Two world-renowned strategists detail the seven leadership imperatives for transforming companies in the new digital era. Digital transformation is critical. But winning in today's world requires more than digitization. It requires understanding that the nature of competitive advantage has shifted—and that being digital is not enough. In Beyond Digital, Paul Leinwand and Matt Mani from Strategy&, PwC's global strategy consulting business, take readers inside twelve companies and how they have navigated through this monumental shift: from Philips's reinvention from a broad conglomerate to a focused health technology player, to Cleveland Clinic's engagement with its broader ecosystem to improve and expand its leading patient care to more locations around the world, to Microsoft's overhaul of its global commercial business to drive customer outcomes. Other case studies include Adobe, Citigroup, Eli Lilly, Hitachi, Honeywell, Inditex, Komatsu, STC Pay, and Titan. Building on a major new body of research, the authors identify the seven imperatives that leaders must follow as the digital age continues to evolve: Reimagine your company's place in the world Embrace and create value via ecosystems Build a system of privileged insights with your customers Make your organization outcome-oriented Invert the focus of your leadership team Reinvent the social contract with your people Disrupt your own leadership approach Together, these seven imperatives comprise a playbook for how leaders can define a bolder purpose and transform their organizations. |
| data driven business transformation: Driving Digital Isaac Sacolick, 2017-08-24 Every organization makes plans for updating products, technologies, and business processes. But that’s not enough anymore for the twenty-first-century company. The race is now on for everyone to become a digital enterprise. For those individuals who have been charged with leading their company’s technology-driven change, the pressure is intense while the correct path forward unclear. Help has arrived! In Driving Digital, author Isaac Sacolick shares the lessons he’s learned over the years as he has successfully spearheaded multiple transformations and helped shape digital-business best practices. Readers no longer have to blindly trek through the mine field of their company’s digital transformation. In this thoroughly researched one-stop manual, learn how to: • Formulate a digital strategy • Transform business and IT practices • Align development and operations • Drive culture change • Bolster digital talent • Capture and track ROI • Develop innovative digital practices • Pilot emerging technologies • And more! Your company cannot avoid the digital disruption heading its way. The choice is yours: Will this mean the beginning of the end for your business, or will your digital practices be what catapults you into next-level success? |
| data driven business transformation: Disrupting Digital Business R "Ray" Wang, 2015-04-14 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. |
| data driven business transformation: The Economics of Data, Analytics, and Digital Transformation Bill Schmarzo, Dr. Kirk Borne, 2020-11-30 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 driven business transformation: What's Your Digital Business Model? Peter Weill, Stephanie Woerner, 2018-04-17 Digital transformation is not about technology--it's about change. In the rapidly changing digital economy, you can't succeed by merely tweaking management practices that led to past success. And yet, while many leaders and managers recognize the threat from digital--and the potential opportunity--they lack a common language and compelling framework to help them assess it and guide them in responding. They don't know how to think about their digital business model. In this concise, practical book, MIT digital research leaders Peter Weill and Stephanie Woerner provide a powerful yet straightforward framework that has been field-tested globally with dozens of senior management teams. Based on years of study at the MIT Center for Information Systems Research (CISR), the authors find that digitization is moving companies' business models on two dimensions: from value chains to digital ecosystems, and from a fuzzy understanding of the needs of end customers to a sharper one. Looking at these dimensions in combination results in four distinct business models, each with different capabilities. The book then sets out six driving questions, in separate chapters, that help managers and executives clarify where they are currently in an increasingly digital business landscape and highlight what's needed to move toward a higher-value digital business model. Filled with straightforward self-assessments, motivating examples, and sharp financial analyses of where profits are made, this smart book will help you tackle the threats, leverage the opportunities, and create winning digital strategies. |
| data driven business transformation: Digital Transformation for the Process Industries Osvaldo A. Bascur, 2020-10-27 Emphasizes a culture of sustainable growth and considers how safety and environmental aspects align with profitability and production of products that satisfy customer expectations Presents how a data infrastructure enables transformation of raw data into operational insights integration with Business Intelligence tools like PowerBI, PI Vision, and predictive analytics tools such as R, Python, and cloud services Features a plant Unit Template showing how to digitize operations to transform raw data into operational insights and offers examples of developing predictive models for avoiding plant excursions and improve the running time Includes examples of companies successfully using operational information to improve yields and reduce operating costs Describes buzzwords and translates them into actual examples so engineering professionals and information systems personnel can work together as a team |
| data driven business transformation: Implementing Data-Driven Strategies in Smart Cities Didier Grimaldi, Carlos Carrasco-Farré, 2021-09-18 Implementing Data-Driven Strategies in Smart Cities is a guidebook and roadmap for practitioners seeking to operationalize data-driven urban interventions. The book opens by exploring the revolution that big data, data science, and the Internet of Things are making feasible for the city. It explores alternate topologies, typologies, and approaches to operationalize data science in cities, drawn from global examples including top-down, bottom-up, greenfield, brownfield, issue-based, and data-driven. It channels and expands on the classic data science model for data-driven urban interventions – data capture, data quality, cleansing and curation, data analysis, visualization and modeling, and data governance, privacy, and confidentiality. Throughout, illustrative case studies demonstrate successes realized in such diverse cities as Barcelona, Cologne, Manila, Miami, New York, Nancy, Nice, São Paulo, Seoul, Singapore, Stockholm, and Zurich. Given the heavy emphasis on global case studies, this work is particularly suitable for any urban manager, policymaker, or practitioner responsible for delivering technological services for the public sector from sectors as diverse as energy, transportation, pollution, and waste management. - Explores numerous specific urban interventions drawn from global case studies, helping readers understand real urban challenges and create data-driven solutions - Provides a step-by-step and applied holistic guide and methodology for immediate application in the reader's own business agenda - Presents cutting edge technology presentation with coverage of innovations such as the Internet of Things, robotics, 5G, edge/fog computing, blockchain, intelligent transport systems, and connected-automated mobility |
| data driven business transformation: Data Strategy Bernard Marr, 2017-04-03 BRONZE RUNNER UP: Axiom Awards 2018 - Business Technology Category Less than 0.5 per cent of all data is currently analyzed and used. However, business leaders and managers cannot afford to be unconcerned or sceptical about data. Data is revolutionizing the way we work and it is the companies that view data as a strategic asset that will survive and thrive. Data Strategy is a must-have guide to creating a robust data strategy. Explaining how to identify your strategic data needs, what methods to use to collect the data and, most importantly, how to translate your data into organizational insights for improved business decision-making and performance, this is essential reading for anyone aiming to leverage the value of their business data and gain competitive advantage. Packed with case studies and real-world examples, advice on how to build data competencies in an organization and crucial coverage of how to ensure your data doesn't become a liability, Data Strategy will equip any organization with the tools and strategies it needs to profit from Big Data, analytics and the Internet of Things (IoT). |
| data driven business transformation: Data-Driven HR Bernard Marr, 2018-04-03 FINALIST: Business Book Awards 2019 - HR and Management Category Traditionally seen as a purely people function unconcerned with numbers, HR is now uniquely placed to use company data to drive performance, both of the people in the organization and the organization as a whole. Data-Driven HR is a practical guide which enables HR professionals to leverage the value of the vast amount of data available at their fingertips. Covering how to identify the most useful sources of data, collect information in a transparent way that is in line with data protection requirements and turn this data into tangible insights, this book marks a turning point for the HR profession. Covering all the key elements of HR including recruitment, employee engagement, performance management, wellbeing and training, Data-Driven HR examines the ways data can contribute to organizational success by, among other things, optimizing processes, driving performance and improving HR decision making. Packed with case studies and real-life examples, this is essential reading for all HR professionals looking to make a measurable difference in their organizations. |
| data driven business transformation: Formula 4.0 for Digital Transformation Venkatesh Upadrista, 2021-05-26 A staggering 70% of digital transformations have failed as per McKinsey. The key reason why enterprises are failing in their digital transformation journey is because there is no standard framework existing in the industry that enterprises can use to transform themselves to digital. There are several books that speak about technologies such as Cloud, Artificial Intelligence and Data Analytics in silos, but none of these provides a holistic view on how enterprises can embark on a digital transformation journey and be successful using a combination of these technologies. FORMULA 4.0 is a methodology that provides clear guidance for enterprises aspiring to transform their traditional operating model to digital. Enterprises can use this framework as a readymade guide and plan their digital transformation journey. This book is intended for all chief executives, software managers, and leaders who intend to successfully lead this digital transformation journey. An enterprise can achieve success in digital transformation only of it can create an IT Platform that will enable them to adopt any new technology seamlessly into existing IT estate; deliver new products and services to the market in shorter durations; make business decisions with IT as an enabler and utilize automation in all its major business and IT processes. Achieving these goals is what defines a digital enterprise -- Formula 4.0 is a methodology for enterprises to achieve these goals and become digital. Essentially, there is no existing framework in the market that provides a step-by-step guide to enterprises on how to embark on their successful digital transformation journey. This book enables such transformations. Overall, the Formula 4.0 is an enterprise digital transformation framework that enables organizations to become truly digital. |
| data driven business transformation: Escape the Change Dilemma Andreas Graesser, 2021-05-31 In nature and business, change is the prevailing constant. This booklet, Escape the Change Dilemma – Transformation to a Smart Data-Driven World, draws attention to the continual change in the world of data, the underlying foundation for the larger-scale digital business transformation. The JiVS Information Management Platform sits front and center, setting the stage for company leaders such as the CEO, the CFO, the CIO, and the COO. Furthermore, the leaders' specific dilemmas they have to overcome are described. This publication offers so-called Escape Routes from all these exposed dilemmas, and as such, it provides a hands-on cookbook for digital data transformation scenarios. The chief roles of corporate leadership and business and IT leaders of smaller companies, decision-makers, and program leaders tasked with the digital data transformation topic gain significant insight. The digital transformation challenges in large and complex organizations are multifold. The biggest challenge, however, is the legacy challenge. Often preserving the past, many large corporations go in small incremental change steps rather than dramatically change and potentially disrupt business execution's status quo. Considering the massive, gathered data across all the legacy systems, wouldn't it be wishful thinking to consolidate all the data into one central source of truth and getting rid of the old systems? No, it's not wishful thinking. This booklet will explain how corporations can quickly transform data reliably and securely at the push of a button. Numerous Dilemmas of Change exist that Graesser explains and breaks down for the most senior leadership roles within companies. As the corporation's overall leader, the CEO needs to decide business matters every day, despite sometimes facing significant knowledge gaps in certain areas. The booklet describes the CEO's five most significant dilemmas along with its Escape Routes that guide the way out of the challenges. The CFO's digital data journey's viewpoints center around the compelling business case to decommission old IT systems. And when it comes to Information Technology, the CIO has to escape several dilemmas, too. A compelling hands-on implementation framework for Digital Transformation allows the CIO to conquer the driver's seat in no time. Escape the Change Dilemma concludes with hands-on advice to implement data transformation and presents the JiVS Implementation Methodology called 'From Vision to Operation.' In summary, Escape the Change Dilemma provides how-to-guides for getting out of digital dilemmas, written for companies' top managers and business leaders. The readers learn about data platforms such as JiVS IMP to kickstart larger corporations' digital journeys and smaller and medium-sized companies. |
| data driven business transformation: Driving Digital Strategy Sunil Gupta, 2018-07-24 Digital transformation is no longer news--it's a necessity. Despite the widespread threat of disruption, many large companies in traditional industries have succeeded at digitizing their businesses in truly transformative ways. The New York Times, formerly a bastion of traditional media, has created a thriving digital product behind a carefully designed paywall. Best Buy has transformed its business in the face of Amazon's threat. John Deere has formed a data-analysis arm to complement its farm-equipment business. And Goldman Sachs and many others are using digital technologies to reimagine their businesses. In Driving Digital Strategy, Harvard Business School professor Sunil Gupta provides an actionable framework for following their lead. For over a decade, Gupta has studied digital transformation at Fortune 500 companies. He knows what works and what doesn't. Merely dabbling in digital or launching a small independent unit, which many companies do, will not bring success. Instead you need to fundamentally change the core of your business and ensure that your digital strategy touches all aspects of your organization: your business model, value chain, customer relationships, and company culture. Gupta covers each aspect in vivid detail while providing navigation tips and best practices along the way. Filled with rich and illuminating case studies of companies at the forefront of digital transformation, Driving Digital Strategy is the comprehensive guide you need to take full advantage of the limitless opportunities the digital age provides. |
| data driven business transformation: Data Driven Jeremy David Curuksu, 2018-06-06 This book is a “scientific” introduction to management consulting that covers elementary and more advanced concepts, such as strategy and client-relationship. It discusses the emerging role of information technologies in consulting activities and introduces the essential tools in data science, assuming no technical background. Drawing on extensive literature reviews with more than 200 peer reviewed articles, reports, books and surveys referenced, this book has at least four objectives: to be scientific, modern, complete and concise. An interactive version of some sections (industry snapshots, method toolbox) is freely accessible at econsultingdata.com. |
| data driven business transformation: Designed for Digital Jeanne W. Ross, Cynthia M. Beath, Martin Mocker, 2019-09-24 Practical advice for redesigning “big, old” companies for digital success, with examples from Amazon, BNY Mellon, LEGO, Philips, USAA, and many other global organizations. Most established companies have deployed such digital technologies as the cloud, mobile apps, the internet of things, and artificial intelligence. But few established companies are designed for digital. This book offers an essential guide for retooling organizations for digital success. In the digital economy, rapid pace of change in technology capabilities and customer desires means that business strategy must be fluid. As a result, the authors explain, business design has become a critical management responsibility. Effective business design enables a company to quickly pivot in response to new competitive threats and opportunities. Most leaders today, however, rely on organizational structure to implement strategy, unaware that structure inhibits, rather than enables, agility. In companies that are designed for digital, people, processes, data, and technology are synchronized to identify and deliver innovative customer solutions—and redefine strategy. Digital design, not strategy, is what separates winners from losers in the digital economy. Designed for Digital offers practical advice on digital transformation, with examples that include Amazon, BNY Mellon, DBS Bank, LEGO, Philips, Schneider Electric, USAA, and many other global organizations. Drawing on five years of research and in-depth case studies, the book is an essential guide for companies that want to disrupt rather than be disrupted in the new digital landscape. Five Building Blocks of Digital Business Success: Shared Customer Insights Operational Backbone Digital Platform Accountability Framework External Developer Platform |
| data driven business transformation: Data-Driven Organization Design Rupert Morrison, 2021-10-03 SHORTLISTED: CMI Management Book of the Year 2017 - Management Futures Category Understand how to drive business performance with your organizational data and analytics in the second edition of Data-Driven Organization Design. Using data and analytics is a key opportunity for businesses to transform performance and achieve success. With a data-driven approach, all the elements of the organizational system can be connected to design an environment in which people can excel and attain competitive advantage. Data-Driven Organization Design provides a practical framework for HR and organization design practitioners to build a baseline of data, set objectives, carry out fixed and dynamic process design, map competencies, and right-size the organization. It shows how to collect the right data, present it meaningfully and ask the most relevant questions of it to help complex, fluid organizations constantly evolve and meet moving objectives. This updated second edition contains new material on organizational planning and analysis, role design and job architecture, position management lifecycle and delta reporting. Alongside this, new case studies and examples will show how these approaches have been applied in practice. Whether planning a long-term transformation, a large redesign or an individual small project, Data-Driven Organization Design will demonstrate how to make the most of your organizational data and analytics to drive business performance. |
| data driven business transformation: Winning with Data Tomasz Tunguz, Frank Bien, 2016-06-20 Crest the data wave with a deep cultural shift Winning with Data explores the cultural changes big data brings to business, and shows you how to adapt your organization to leverage data to maximum effect. Authors Tomasz Tunguz and Frank Bien draw on extensive background in big data, business intelligence, and business strategy to provide a blueprint for companies looking to move head-on into the data wave. Instrumentation is discussed in detail, but the core of the change is in the culture—this book provides sound guidance on building the type of organizational culture that creates and leverages data daily, in every aspect of the business. Real-world examples illustrate these important concepts at work: you'll learn how data helped Warby-Parker disrupt a $13 billion monopolized market, how ThredUp uses data to process more than 20 thousand items of clothing every day, how Venmo leverages data to build better products, how HubSpot empowers their salespeople to be more productive, and more. From decision making and strategy to shipping and sales, this book shows you how data makes better business. Big data has taken on buzzword status, but there is little real guidance for companies seeking everyday business data solutions. This book takes a deeper look at big data in business, and shows you how to shift internal culture ahead of the curve. Understand the changes a data culture brings to companies Instrument your company for maximum benefit Utilize data to optimize every aspect of your business Improve decision making and transform business strategy Big data is becoming the number-one topic in business, yet no one is asking the right questions. Leveraging the full power of data requires more than good IT—organization-wide buy-in is essential for long-term success. Winning with Data is the expert guide to making data work for your business, and your needs. |
| data driven business transformation: The Definitive Guide to B2B Digital Transformation Fred Geyer, Joerg Niessing, 2020-05-22 |
| data driven business transformation: A Data-Driven Company RICHARD. BENJAMINS, 2021-10-19 Are you planning to start working with big data, analytics or AI, but don't know where to start or what to expect? Have you started your data journey and are wondering how to get to the next level? Want to know how to fund your data journey, how to organize your data team, how to measure the results, how to scale? Don't worry, you are not alone. Many organizations are struggling with the same questions. This book discusses 21 key decisions that any organization faces when travelling its journey towards becoming a data-driven and AI company. It is surprising how much the challenges are similar across different sectors. This is a book for business leaders who must learn to adapt to the world of data and AI and reap its benefits. It is about how to progress on the digital transformation journey of which data is a key ingredient. |
| data driven business transformation: Restoring the Soul of Business Rishad Tobaccowala, 2020-01-28 From old-fashioned bricks-and-mortars to cutting-edge startups, businesses are moving into uncharted territory as they determine how to move from an analog past to a digital future effectively. How can you make sure not to leave human instinct behind? Businesses are leaving behind traditional meetings in favor of virtual ones, transitioning from surveys and studies to analytics and algorithms. The startling and often unacknowledged truth is that?the promise of digital transformation can only be realized when we find a way to balance it with the promise of people.?In the end, it’s the people that matter, and companies must never forget the soul that drives them. In Restoring the Soul of Business, business leader Rishad Tobaccowala?teaches you to: Understand how to unleash the significant benefit that can be realized by combining emotion and data, human and machine, analog and digital. Spot the warning signs of data-blinded companies: cold cultures with little human interaction, poor innovation stemming from discouraged employees who don’t contribute ideas, and poor customer service due to automated, robotic processes. Explore how organizations of various sizes and from different industries have successfully reoriented their thinking on how to fuse technology and humanity. Gain skills to become an expert in connections critical to growth and success, including the connection between being creative and using technology. Everyone working in an organization will find penetrating observations and guidance about how and why establishing the proper balance between human intuition and creativity and data-driven insights can lead to increased revenue, profitability, retention—and even joy—in their careers and business. Restoring the Soul of Business provides practical tools and techniques that every organization can and should implement, and challenges you to move forward with the kind of balance that capitalizes transformation and produces one great success after another. |
| data driven business transformation: Data Driven: Harnessing Data and AI to Reinvent Customer Engagement Tom Chavez, Chris O’Hara, Vivek Vaidya, 2018-10-05 Axiom Business Book Award Silver Medalist in Business TechnologyThe indispensable guide to data-powered marketing from the team behind the data management platform that helps fuel Salesforce―the #1 customer relationship management (CRM) company in the worldA tectonic shift in the practice of marketing is underway. Digital technology, social media, and e-commerce have radically changed the way consumers access information, order products, and shop for services. Using the latest technologies―cloud, mobile, social, internet of things (IoT), and artificial intelligence (AI)―we have more data about consumers and their needs, wants, and affinities than ever before. Data Driven will show you how to:●Target and delight your customers with unprecedented accuracy and success●Bring customers closer to your brand and inspire them to engage, purchase, and remain loyal●Capture, organize, and analyze data from every source and activate it across every channel●Create a data-powered marketing strategy that can be customized for any audience●Serve individual consumers with highly personalized interactions●Deliver better customer service for the best customer experience●Improve your products and optimize your operating systems●Use AI and IoT to predict the future direction of marketsYou’ll discover the three principles for building a successful data strategy and the five sources of data-driven power. You’ll see how top companies put these data-driven strategies into action: how Pandora used second- and third-hand data to learn more about its listeners; how Georgia-Pacific moved from scarcity to abundance in the data sphere; and how Dunkin’ Brands leveraged CRM data as a force multiplier for customer engagement. And if you’re wondering what the future holds, you’ll receive seven forecasts to better prepare you for what may come next. Sure to be a classic, Data Driven is a practical road map to the modern marketing landscape and a toolkit for success in the face of changes already underway and still to come. |
| data driven business transformation: Fit for Growth Vinay Couto, John Plansky, Deniz Caglar, 2017-01-10 A practical approach to business transformation Fit for Growth* is a unique approach to business transformation that explicitly connects growth strategy with cost management and organization restructuring. Drawing on 70-plus years of strategy consulting experience and in-depth research, the experts at PwC’s Strategy& lay out a winning framework that helps CEOs and senior executives transform their organizations for sustainable, profitable growth. This approach gives structure to strategy while promoting lasting change. Examples from Strategy&’s hundreds of clients illustrate successful transformation on the ground, and illuminate how senior and middle managers are able to take ownership and even thrive during difficult periods of transition. Throughout the Fit for Growth process, the focus is on maintaining consistent high-value performance while enabling fundamental change. Strategy& has helped major clients around the globe achieve significant and sustained results with its research-backed approach to restructuring and cost reduction. This book provides practical guidance for leveraging that expertise to make the choices that allow companies to: Achieve growth while reducing costs Manage transformation and transition productively Create lasting competitive advantage Deliver reliable, high-value performance Sustainable success is founded on efficiency and high performance. Companies are always looking to do more with less, but their efforts often work against them in the long run. Total business transformation requires total buy-in, and it entails a series of decisions that must not be made lightly. The Fit for Growth approach provides a clear strategy and practical framework for growth-oriented change, with expert guidance on getting it right. *Fit for Growth is a registered service mark of PwC Strategy& Inc. in the United States |
Data and Digital Outputs Management Plan (DDOMP)
Data and Digital Outputs Management Plan (DDOMP)
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