data driven product management: Product Management in Practice Matt LeMay, 2017-11-08 Product management has become a critical connective role for modern organizations, from small technology startups to global corporate enterprises. And yet the day-to-day work of product management remains largely misunderstood. In theory, product management is about building products that people love. The real-world practice of product management is often about difficult conversations, practical compromises, and hard-won incremental gains. In this book, author Matt LeMay focuses on the CORE connective skills— communication, organization, research, execution—that can build a successful product management practice across industries, organizations, teams, andtoolsets. For current and aspiring product managers, this book explores:? On-the-ground tactics for facilitating collaboration and communication? How to talk to users and work with executives? The importance of setting clear and actionable goals? Using roadmaps to connect and align your team? A values-first approach to implementing Agile practices? Common behavioral traps that turn good product managers bad |
data driven product management: Data-Driven Marketing Mark Jeffery, 2010-02-08 NAMED BEST MARKETING BOOK OF 2011 BY THE AMERICAN MARKETING ASSOCIATION How organizations can deliver significant performance gains through strategic investment in marketing In the new era of tight marketing budgets, no organization can continue to spend on marketing without knowing what's working and what's wasted. Data-driven marketing improves efficiency and effectiveness of marketing expenditures across the spectrum of marketing activities from branding and awareness, trail and loyalty, to new product launch and Internet marketing. Based on new research from the Kellogg School of Management, this book is a clear and convincing guide to using a more rigorous, data-driven strategic approach to deliver significant performance gains from your marketing. Explains how to use data-driven marketing to deliver return on marketing investment (ROMI) in any organization In-depth discussion of the fifteen key metrics every marketer should know Based on original research from America's leading marketing business school, complemented by experience teaching ROMI to executives at Microsoft, DuPont, Nisan, Philips, Sony and many other firms Uses data from a rigorous survey on strategic marketing performance management of 252 Fortune 1000 firms, capturing $53 billion of annual marketing spending In-depth examples of how to apply the principles in small and large organizations Free downloadable ROMI templates for all examples given in the book With every department under the microscope looking for results, those who properly use data to optimize their marketing are going to come out on top every time. |
data driven product management: Experiment-Driven Product Development Paul Rissen, 2019-11-21 Improving your craft is a key skill for product and user experience professionals working in the digital era. There are many established methods of product development to inspire and focus teams—Sprint, Lean, Agile, Kanban—all of which focus on solutions to customer and business problems. Enter XDPD, or Experiment-Driven Product Development—a new approach that turns the spotlight on questions to be answered, rather than on solutions. Within XDPD, discovery is a mindset, not a project phase. In Experiment-Driven Product Development, author Paul Rissen introduces a philosophy of product development that will hone your skills in discovery, research and learning. By guiding you through a practical, immediately applicable framework, you can learn to ask, and answer, questions which will supercharge your product development, making teams smarter and better at developing products and services that deliver for users and businesses alike. When applying the XDPD framework within your organization, the concept of an experiment—a structured way of asking, and answering, questions—becomes the foundation of almost everything you do, instilling a constant sense of discovery that keeps your team inspired. All types of activities, from data analysis to writing software, are seen through the lens of research. Rather than treating research as a separate task from the rest of product development, this book approaches the entire practice as one of research and continuous discovery. Designing successful experiments takes practice. That’s where Rissen’s years of industry expertise come in. In this book, you are given step-by-step tools to ensure that meaningful, efficient progress is made with each experiment. This approach will prove beneficial to your team, your users, and most importantly, to your product’s lasting success. Experiment-Driven Product Development offers a greater appreciation of the craft of experimentation and helps you adapt it in your own context. In our modern age of innovation, XDPD can put you ahead. Go forth and experiment! What You Will LearnKnow how to approach product development in a leaner, more efficient wayUnderstand where and when experiments can be useful, and how they fit into pre-existing organization environments and processesRealize why you should be thinking about the simplest, useful thing rather than the minimum, viable productDiscover how to break down feature and design ideas into the assumptions and the premises that lie behind themAppreciate the importance of designing your experiments, and the statistical concepts that underpin their successMaster the art of communicating the results of experiments back to stakeholders, and help the results guide what happens next Who This Book is For Professionals working in digital product design and development, user experience, and service design. This book is best suited for those who work on digital products every day and want to adopt better approaches to gaining knowledge about their users, what works, and what does not work. |
data driven product management: Data-Driven Decision-Making for Product Managers Gabriel Steinhardt, 2024-11-19 |
data driven product management: Testing Business Ideas David J. Bland, Alexander Osterwalder, 2019-11-06 A practical guide to effective business model testing 7 out of 10 new products fail to deliver on expectations. Testing Business Ideas aims to reverse that statistic. In the tradition of Alex Osterwalder’s global bestseller Business Model Generation, this practical guide contains a library of hands-on techniques for rapidly testing new business ideas. Testing Business Ideas explains how systematically testing business ideas dramatically reduces the risk and increases the likelihood of success for any new venture or business project. It builds on the internationally popular Business Model Canvas and Value Proposition Canvas by integrating Assumptions Mapping and other powerful lean startup-style experiments. Testing Business Ideas uses an engaging 4-color format to: Increase the success of any venture and decrease the risk of wasting time, money, and resources on bad ideas Close the knowledge gap between strategy and experimentation/validation Identify and test your key business assumptions with the Business Model Canvas and Value Proposition Canvas A definitive field guide to business model testing, this book features practical tips for making major decisions that are not based on intuition and guesses. Testing Business Ideas shows leaders how to encourage an experimentation mindset within their organization and make experimentation a continuous, repeatable process. |
data driven product management: 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 product management: Designing with Data Rochelle King, Elizabeth F Churchill, Caitlin Tan, 2017-03-29 On the surface, design practices and data science may not seem like obvious partners. But these disciplines actually work toward the same goal, helping designers and product managers understand users so they can craft elegant digital experiences. While data can enhance design, design can bring deeper meaning to data. This practical guide shows you how to conduct data-driven A/B testing for making design decisions on everything from small tweaks to large-scale UX concepts. Complete with real-world examples, this book shows you how to make data-driven design part of your product design workflow. Understand the relationship between data, business, and design Get a firm grounding in data, data types, and components of A/B testing Use an experimentation framework to define opportunities, formulate hypotheses, and test different options Create hypotheses that connect to key metrics and business goals Design proposed solutions for hypotheses that are most promising Interpret the results of an A/B test and determine your next move |
data driven product management: 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 product management: Data Driven Thomas C. Redman, 2008-09-22 Your company's data has the potential to add enormous value to every facet of the organization -- from marketing and new product development to strategy to financial management. Yet if your company is like most, it's not using its data to create strategic advantage. Data sits around unused -- or incorrect data fouls up operations and decision making. In Data Driven, Thomas Redman, the Data Doc, shows how to leverage and deploy data to sharpen your company's competitive edge and enhance its profitability. The author reveals: · The special properties that make data such a powerful asset · The hidden costs of flawed, outdated, or otherwise poor-quality data · How to improve data quality for competitive advantage · Strategies for exploiting your data to make better business decisions · The many ways to bring data to market · Ideas for dealing with political struggles over data and concerns about privacy rights Your company's data is a key business asset, and you need to manage it aggressively and professionally. Whether you're a top executive, an aspiring leader, or a product-line manager, this eye-opening book provides the tools and thinking you need to do that. |
data driven product management: The Data-Driven Project Manager Mario Vanhoucke, 2018-03-27 Discover solutions to common obstacles faced by project managers. Written as a business novel, the book is highly interactive, allowing readers to participate and consider options at each stage of a project. The book is based on years of experience, both through the author's research projects as well as his teaching lectures at business schools. The book tells the story of Emily Reed and her colleagues who are in charge of the management of a new tennis stadium project. The CEO of the company, Jacob Mitchell, is planning to install a new data-driven project management methodology as a decision support tool for all upcoming projects. He challenges Emily and her team to start a journey in exploring project data to fight against unexpected project obstacles. Data-driven project management is known in the academic literature as “dynamic scheduling” or “integrated project management and control.” It is a project management methodology to plan, monitor, and control projects in progress in order to deliver them on time and within budget to the client. Its main focus is on the integration of three crucial aspects, as follows: Baseline Scheduling: Plan the project activities to create a project timetable with time and budget restrictions. Determine start and finish times of each project activity within the activity network and resource constraints. Know the expected timing of the work to be done as well as an expected impact on the project’s time and budget objectives. Schedule Risk Analysis: Analyze the risk of the baseline schedule and its impact on the project’s time and budget. Use Monte Carlo simulations to assess the risk of the baseline schedule and to forecast the impact of time and budget deviations on the project objectives. Project Control: Measure and analyze the project’s performance data and take actions to bring the project on track. Monitor deviations from the expected project progress and control performance in order to facilitate the decision-making process in case corrective actions are needed to bring projects back on track. Both traditional Earned Value Management (EVM) and the novel Earned Schedule (ES) methods are used. What You'll Learn Implement a data-driven project management methodology (also known as dynamic scheduling) which allows project managers to plan, monitor, and control projects while delivering them on time and within budget Study different project management tools and techniques, such as PERT/CPM, schedule risk analysis (SRA), resource buffering, and earned value management (EVM) Understand the three aspects of dynamic scheduling: baseline scheduling, schedule risk analysis, and project control Who This Book Is For Project managers looking to learn data-driven project management (or dynamic scheduling) via a novel, demonstrating real-time simulations of how project managers can solve common project obstacles |
data driven product management: Big Data Driven Supply Chain Management Nada R. Sanders, 2014-05-07 Master a complete, five-step roadmap for leveraging Big Data and analytics to gain unprecedented competitive advantage from your supply chain. Using Big Data, pioneers such as Amazon, UPS, and Wal-Mart are gaining unprecedented mastery over their supply chains. They are achieving greater visibility into inventory levels, order fulfillment rates, material and product delivery… using predictive data analytics to match supply with demand; leveraging new planning strengths to optimize their sales channel strategies; optimizing supply chain strategy and competitive priorities; even launching powerful new ventures. Despite these opportunities, many supply chain operations are gaining limited or no value from Big Data. In Big Data Driven Supply Chain Management, Nada Sanders presents a systematic five-step framework for using Big Data in supply chains. You'll learn best practices for segmenting and analyzing customers, defining competitive priorities for each segment, aligning functions behind strategy, dissolving organizational boundaries to sense demand and make better decisions, and choose the right metrics to support all of this. Using these techniques, you can overcome the widespread obstacles to making the most of Big Data in your supply chain — and earn big profits from the data you're already generating. For all executives, managers, and analysts interested in using Big Data technologies to improve supply chain performance. |
data driven product management: Agile for Everybody Matt LeMay, 2018-10-10 The Agile movement provides real, actionable answers to the question that keeps many company leaders awake at night: How do we stay successful in a fast-changing and unpredictable world? Agile has already transformed how modern companies build and deliver software. This practical book demonstrates how entire organizations—from product managers and engineers to marketers and executives—can put Agile to work. Author Matt LeMay explains Agile in clear, jargon-free terms and provides concrete and actionable steps to help any team put its values and principles into practice. Examples from a wide variety of organizations, including small nonprofits and global financial enterprises, bring to life the on-the-ground realities of Agile across industries and functions. Understand exactly what Agile is and why it matters Use Agile to address your organization’s specific needs and goals Take customer centricity from theory into practice Stop wasting time in report and critique meetings and start making better decisions Create a harmonious cycle of learning, collaborating, and delivering Learn from Agile experts at companies like IBM, Spotify, and Coca-Cola |
data driven product management: Expert Product Management Brian Lawley, 2007 Annotation Lawley teaches new and seasoned product managers and marketers powerful and effective ways to ensure they give their products the best possible chance for success. |
data driven product management: 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 product management: Escaping the Build Trap Melissa Perri, 2018-11-01 To stay competitive in today’s market, organizations need to adopt a culture of customer-centric practices that focus on outcomes rather than outputs. Companies that live and die by outputs often fall into the build trap, cranking out features to meet their schedule rather than the customer’s needs. In this book, Melissa Perri explains how laying the foundation for great product management can help companies solve real customer problems while achieving business goals. By understanding how to communicate and collaborate within a company structure, you can create a product culture that benefits both the business and the customer. You’ll learn product management principles that can be applied to any organization, big or small. In five parts, this book explores: Why organizations ship features rather than cultivate the value those features represent How to set up a product organization that scales How product strategy connects a company’s vision and economic outcomes back to the product activities How to identify and pursue the right opportunities for producing value through an iterative product framework How to build a culture focused on successful outcomes over outputs |
data driven product management: The Product Book: How to Become a Great Product Manager Product School, Josh Anon, 2017-05 Nobody asked you to show up. Every experienced product manager has heard some version of those words at some point in their career. Think about a company. Engineers build the product. Designers make sure it has a great user experience and looks good. Marketing makes sure customers know about the product. Sales get potential customers to open their wallets to buy the product. What more does a company need? What does a product manager do? Based upon Product School's curriculum, which has helped thousands of students become great product managers, The Product Book answers that question. Filled with practical advice, best practices, and expert tips, this book is here to help you succeed! |
data driven product management: Product Sense Peter Knudson, Braxton Bragg, 2021-07-12 Attempting to land a new job in product management is daunting. For starters, there have been no comprehensive blueprints for success. The interview process is grueling. Few candidates receive offers. Product Sense is the only comprehensive, yet accessible, resource available to help navigate a complex process and succeed an a hyper-competitive market. What will you learn from this book? The required PM common traits - ones that all PMs need to embody to get a job (regardless of industry, company, or product). The single, most crucial PM problem -What it is, why it is key to the role, and how to tackle it in four steps. Master our brand new Compass Framework - We designed our own proprietary interview framework from the ground up, which you can use to navigate product sense, execution, and leadership PM interview questions. How to get a job - A step-by-step hand-holding on what to do to land the most desired roles. Including take-home assignments, recruiter & hiring manager screens, and crafting your unique narrative - your PM Superpower. What's also inside? A detailed breakdown of the hiring criteria for PMs at FAANG and other tech companies Super-detailed example answers to tough PM interview case questions. An inside look at PM. Dozens of first-hand stories, interviews, real life examples, and no-fluff advice A robust glossary of PM terms used throughout the industry for easy reference This book will benefit those who are considering becoming PMs, those who are attempting to switch into product management from another role, or folks who are already PMs but want to be most prepared when applying for a new job. Here's what readers say about Product Sense: Product Sense helped me understand if PM is the right career path for me. Easy to read, clear, concise, and jam-packed full of insight and examples that illustrate all the concepts, this is the perfect starting point for anyone new to the field, and goes well beyond that for those looking to advance their career. Peter is one of the best strategic and tactical product minds I've ever worked with. For that reason, I'm not at all surprised that what he and Braxton have written here is a definitive guide to Product Management in today's ultra-competitive market. After reading Cracking the PM Interview, I was still lost as to how to structure my answers to case questions. While I understand that there is no right way to answer these interview questions, I appreciated that Product Sense gave me firm and clear guidance, walking me through the basics of PM thinking and how to adopt it in my interview answers. It was reassuring to see that the best mock interviews have all of the elements of Product Sense's Compass Framework. If CTPMI is the first step to prepare for landing a PM Role, then Product Sense is definitely the second step. |
data driven product management: 21 Lessons for the 21st Century Yuval Noah Harari, 2019-01-29 #1 NEW YORK TIMES BESTSELLER • In Sapiens, he explored our past. In Homo Deus, he looked to our future. Now, one of the world’s most innovative thinkers explores what it means to be human in an age of bewilderment. “Fascinating . . . a crucial global conversation about how to take on the problems of the twenty-first century.”—Bill Gates, The New York Times Book Review A FINANCIAL TIMES BEST BOOK OF THE YEAR How can we protect ourselves from nuclear war or ecological catastrophe? What do we do about the epidemic of fake news or the threat of terrorism? How should we prepare our children for the future? 21 Lessons for the 21st Century is a probing and visionary investigation into today’s most urgent issues as we move into the future. As technology advances faster than our understanding of it, hacking becomes a tactic of war, and the world feels more polarized than ever, Harari addresses the challenge of navigating life in the face of constant and disorienting change and raises the important questions we need to ask ourselves in order to survive. In twenty-one accessible chapters that are both provocative and profound, Harari untangles political, technological, social, and existential issues and offers advice on how to prepare for a very different future from the world we now live in: How can we retain freedom of choice when Big Data is watching us? What will the future workforce look like, and how should we ready ourselves for it? Why is liberal democracy in crisis? Harari’s unique ability to make sense of where we have come from and where we are going has captured the imaginations of millions of readers. Here he invites us to consider values, meaning, and personal engagement in a world full of noise and uncertainty. When we are deluged with irrelevant information, clarity is power. Presenting complex contemporary challenges clearly and accessibly, 21 Lessons for the 21st Century is essential reading. |
data driven product management: 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 product management: How to Lead in Product Management: Practices to Align Stakeholders, Guide Development Teams, and Create Value Together Roman Pichler, 2020-03-10 This book will help you become a better product leader. Benefitting from Roman Pichler's extensive experience, you will learn how to align stakeholders and guide development teams even in challenging circumstances, avoid common leadership mistakes, and grow as a leader. Written in an engaging and easily accessible style, How to Lead in Product Management offers a wealth of practical tips and strategies. Through helpful examples, the book illustrates how you can directly apply the techniques to your work. Coverage includes: * Choosing the right leadership style * Cultivating empathy, building trust, and influencing others * Increasing your authority and empowering others * Directing stakeholders and development teams through common goals * Making decisions that people will support and follow through * Successfully resolving disputes and conflicts even with senior stakeholders * Listening deeply to discover and address hidden needs and interests * Practising mindfulness and embracing a growth mindset to develop as a leader Praise for How to Lead in Product Management: Roman has done it again, delivering a practical book for the product management community that appeals to both heart and mind. How to Lead in Product Management is packed with concise, direct, and practical advice that addresses the deeper, personal aspects of the product leadership. Roman's book shares wisdom on topics including goals, healthy interactions with stakeholders, handling conflict, effective conversations, decision-making, having a growth mindset, and self-care. It is a must read for both new and experienced product people. ~Ellen Gottesdiener, Product Coach at EBG Consulting Being a great product manager is tough. It requires domain knowledge, industry knowledge, technical skills, but also the skills to lead and inspire a team. Roman Pichler's How to Lead in Product Management is the best book I've read for equipping product managers to lead their teams. ~Mike Cohn, Author of Succeeding with Agile, Agile Estimating and Planning, and User Stories Applied This is the book that has been missing for product people. Roman has created another masterpiece, a fast read with lots of value. It's a must read for every aspiring product manager. ~Magnus Billgren, CEO of Tolpagorni Product Management How Lead in Product Management is for everyone who manages a product or drives important business decisions. Roman lays out the key challenges of product leadership and shows us ways of thoughtfully working with team members, stakeholders, partners, and the inevitable conflicts. ~Rich Mironov, CEO of Mironov Consulting and Smokejumper Head of Product |
data driven product management: 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 product management: Data-Driven Engineering Design Ang Liu, Yuchen Wang, Xingzhi Wang, 2021-10-09 This book addresses the emerging paradigm of data-driven engineering design. In the big-data era, data is becoming a strategic asset for global manufacturers. This book shows how the power of data can be leveraged to drive the engineering design process, in particular, the early-stage design. Based on novel combinations of standing design methodology and the emerging data science, the book presents a collection of theoretically sound and practically viable design frameworks, which are intended to address a variety of critical design activities including conceptual design, complexity management, smart customization, smart product design, product service integration, and so forth. In addition, it includes a number of detailed case studies to showcase the application of data-driven engineering design. The book concludes with a set of promising research questions that warrant further investigation. Given its scope, the book will appeal to a broad readership, including postgraduate students, researchers, lecturers, and practitioners in the field of engineering design. |
data driven product management: 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 product management: Driven by Data Paul Bambrick-Santoyo, 2010-04-12 Offers a practical guide for improving schools dramatically that will enable all students from all backgrounds to achieve at high levels. Includes assessment forms, an index, and a DVD. |
data driven product management: 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 product management: The Secret Product Manager Handbook Nils Davis, 2018-03-05 Product management isn't about you and it isn't about your product. It's about solving problems for your customers, creating a solution, and taking it to market. When I started in product management, I had a lot of questions, like What is product management? It's a common question still, but most people don't have a good answer. After all these years, the same questions keep coming up. I see them on forums, I hear them when I talk to new and experienced product managers, and I still do not see them being answered well or usefully. So I wrote this book, with the answers to the questions I always had. You'll learn: The real reason people choose to buy a product - it's not about how good the product is! How to get the very best from your developers. The 5-word phrase that can accelerate sales and marketing. The best ways to talk to executives and customers about what you're building. Among other critical information, you'll find a powerful framework for thinking about product management - and even for talking to your Mom about what you do. The framework provides an infrastructure for most of The Secret Product Manager Handbook. I provide a concrete and explicit explanation of why product management is so important for businesses, including a calculation of the true business value of product management. And the book is full of specific techniques and practices for transforming your product management career. What People Are Saying Nuggets of product management wisdom and ideas you'll want to hang on your monitor. The book is like having a conversation with a mentor. (Ken Hanson, Growth Product Manager) The summary of product management - identify market problems, guide the creation of solutions, and take the solutions to market - is powerful. As a former engineer, it's especially important to be reminded of the third point (Frank Licea, Product Manager) The intro is one of the clearest and smartest explanations of the value a product manager should bring to the table I've ever read. (Luca Candela, VP of Product Management) |
data driven product management: 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 product management: Impact Mapping Gojko Adzic, 2012-10 A practical guide to impact mapping, a simple yet incredibly effective method for collaborative strategic planning that helps organizations make an impact with software. |
data driven product management: Product Leadership Richard Banfield, Martin Eriksson, Nate Walkingshaw, 2017-05-12 In today’s lightning-fast technology world, good product management is critical to maintaining a competitive advantage. Yet, managing human beings and navigating complex product roadmaps is no easy task, and it’s rare to find a product leader who can steward a digital product from concept to launch without a couple of major hiccups. Why do some product leaders succeed while others don’t? This insightful book presents interviews with nearly 100 leading product managers from all over the world. Authors Richard Banfield, Martin Eriksson, and Nate Walkingshaw draw on decades of experience in product design and development to capture the approaches, styles, insights, and techniques of successful product managers. If you want to understand what drives good product leaders, this book is an irreplaceable resource. In three parts, Product Leadership helps you explore: Themes and patterns of successful teams and their leaders, and ways to attain those characteristics Best approaches for guiding your product team through the startup, emerging, and enterprise stages of a company’s evolution Strategies and tactics for working with customers, agencies, partners, and external stakeholders |
data driven product management: Data-Driven Decision Making and Dynamic Planning Paul Preuss, 2013-09-27 This book will help you understand how to integrate data-based decisions into the daily work of the school. It is a practical and relevant handbook for converting data into wise decision-making and planning. It will give you the skills to successfully make data-based decisions, measure student learning and program effectiveness, evaluate student progress, use data to improve instruction, integrate a Dynamic Planning process into the daily operation of your school. |
data driven product management: Data-Driven Security Jay Jacobs, Bob Rudis, 2014-02-24 Uncover hidden patterns of data and respond with countermeasures Security professionals need all the tools at their disposal to increase their visibility in order to prevent security breaches and attacks. This careful guide explores two of the most powerful data analysis and visualization. You'll soon understand how to harness and wield data, from collection and storage to management and analysis as well as visualization and presentation. Using a hands-on approach with real-world examples, this book shows you how to gather feedback, measure the effectiveness of your security methods, and make better decisions. Everything in this book will have practical application for information security professionals. Helps IT and security professionals understand and use data, so they can thwart attacks and understand and visualize vulnerabilities in their networks Includes more than a dozen real-world examples and hands-on exercises that demonstrate how to analyze security data and intelligence and translate that information into visualizations that make plain how to prevent attacks Covers topics such as how to acquire and prepare security data, use simple statistical methods to detect malware, predict rogue behavior, correlate security events, and more Written by a team of well-known experts in the field of security and data analysis Lock down your networks, prevent hacks, and thwart malware by improving visibility into the environment, all through the power of data and Security Using Data Analysis, Visualization, and Dashboards. |
data driven product management: 42 Rules of Product Management (2nd Edition) Brian Lawley, 2012 42 Rules of Product Management is a collection of product management wisdom from forty experts from around the world. The goal of this book is to expose you to the wisdom and knowledge from a group of the world's leading product management experts. Among the contributors, there are leading authors, professors, CEOs and vice presidents, bloggers, consultants, trainers, and even a few salespeople and engineers. In total, there are over five centuries of collected wisdom represented here. The contributors each share one rule they think is critical to succeed in product management based on their hands-on product management and product marketing experience with companies such as Apple, eBay, Intuit, SAP, and Yahoo! |
data driven product management: Lean Analytics Alistair Croll, Benjamin Yoskovitz, 2024-02-23 Whether you're a startup founder trying to disrupt an industry or an entrepreneur trying to provoke change from within, your biggest challenge is creating a product people actually want. Lean Analytics steers you in the right direction. This book shows you how to validate your initial idea, find the right customers, decide what to build, how to monetize your business, and how to spread the word. Packed with more than thirty case studies and insights from over a hundred business experts, Lean Analytics provides you with hard-won, real-world information no entrepreneur can afford to go without. Understand Lean Startup, analytics fundamentals, and the data-driven mindset Look at six sample business models and how they map to new ventures of all sizes Find the One Metric That Matters to you Learn how to draw a line in the sand, so you'll know it's time to move forward Apply Lean Analytics principles to large enterprises and established products |
data driven product management: AI Driven Product Management , 2024-04-01 In the rapidly evolving landscape of product management, leveraging cutting-edge technologies is essential to stay ahead of the curve. AI Driven Product Management is your definitive guide to unlocking the power of artificial intelligence in revolutionizing product lifecycle optimization. In this insightful eBook, you'll discover how AI tools can transform the way you analyze vast amounts of customer data to drive informed decision-making at every stage of the product management process. From identifying market trends to understanding user behavior, AI empowers you to glean valuable insights that shape your product strategy and drive success. With practical examples and step-by-step guidance, this book demystifies the process of integrating AI into your product management toolkit. Learn how to harness AI algorithms to analyze customer feedback, predict market demand, and optimize pricing strategies. Explore innovative techniques for automating tasks, streamlining workflows, and enhancing collaboration across your team. Whether you're a seasoned product manager or just starting out in the field, AI Driven Product Management equips you with the knowledge and tools you need to thrive in today's data-driven world. Discover how AI-driven analytics can supercharge your product development efforts, drive customer satisfaction, and propel your business to new heights. Unlock the potential of AI and revolutionize your approach to product management. Dive into AI Driven Product Management today and embark on a journey towards smarter, more effective product lifecycles. |
data driven product management: The Lean Mindset Mary Poppendieck, Tom Poppendieck, 2013-09-20 What company doesn’t want energized workers, delighted customers, genuine efficiency, and breakthrough innovation? The Lean Mindset shows how lean companies really work–and how a lean mindset is the key to creating stunning products and delivering amazing services. Through cutting-edge research and case studies from leading organizations, including Spotify, Ericsson, Intuit, GE Healthcare, Pixar, CareerBuilder, and Intel, you’ll discover proven patterns for developing that mindset. You’ll see how to cultivate product teams that act like successful startups, create the kind of efficiency that attracts customers, and leverage the talents of bright, creative people. The Poppendiecks weave lean principles throughout this book, just as those principles must be woven throughout the fabric of your truly lean organization. Learn How To Start with an inspiring purpose, and overcome the curse of short-term thinking Energize teams by providing well-framed challenges, larger purposes, and a direct line of sight between their work and the achievement of those purposes Delight customers by gaining unprecedented insight into their real needs, and building products and services that fully anticipate those needs Achieve authentic, sustainable efficiency without layoffs, rock-bottom cost focus, or totalitarian work systems Develop breakthrough innovations by moving beyond predictability to experimentation, beyond globalization to decentralization, beyond productivity to impact Lean approaches to software development have moved from novelty to widespread use, in large part due to the principles taught by Mary and Tom Poppendieck in their pioneering books. Now, in The Lean Mindset, the Poppendiecks take the next step, looking at a company where multidiscipline teams are expected to ask the right questions, solve the right problems, and deliver solutions that customers love. |
data driven product management: The Data-Driven School Daniel M. Hyson, Joseph F. Kovaleski, Benjamin Silberglitt, Jason A. Pedersen, 2020-05-06 This indispensable practitioner's guide helps to build the capacity of school psychologists, administrators, and teachers to use data in collaborative decision making. It presents an applied, step-by-step approach for creating and running effective data teams within a problem-solving framework. The authors describe innovative ways to improve academic and behavioral outcomes at the individual, class, grade, school, and district levels. Applications of readily available technology tools are highlighted. In a large-size format for easy photocopying, the book includes learning activities and helpful reproducible forms. The companion website provides downloadable copies of the reproducible forms as well as Excel spreadsheets, PowerPoint slides, and an online-only chapter on characteristics of effective teams. This book is in The Guilford Practical Intervention in the Schools Series, edited by Sandra M. Chafouleas. |
data driven product management: Data-Driven Marketing Content Lee Wilson, 2019-06-19 This practical content guide empowers businesses to understand, identify and act on big-data opportunities, producing superior business insights for prolific marketing gains. |
data driven product management: Statistics Done Wrong Alex Reinhart, 2015-03-01 Scientific progress depends on good research, and good research needs good statistics. But statistical analysis is tricky to get right, even for the best and brightest of us. You'd be surprised how many scientists are doing it wrong. Statistics Done Wrong is a pithy, essential guide to statistical blunders in modern science that will show you how to keep your research blunder-free. You'll examine embarrassing errors and omissions in recent research, learn about the misconceptions and scientific politics that allow these mistakes to happen, and begin your quest to reform the way you and your peers do statistics. You'll find advice on: –Asking the right question, designing the right experiment, choosing the right statistical analysis, and sticking to the plan –How to think about p values, significance, insignificance, confidence intervals, and regression –Choosing the right sample size and avoiding false positives –Reporting your analysis and publishing your data and source code –Procedures to follow, precautions to take, and analytical software that can help Scientists: Read this concise, powerful guide to help you produce statistically sound research. Statisticians: Give this book to everyone you know. The first step toward statistics done right is Statistics Done Wrong. |
data driven product management: Data-Driven Science and Engineering Steven L. Brunton, J. Nathan Kutz, 2022-05-05 A textbook covering data-science and machine learning methods for modelling and control in engineering and science, with Python and MATLAB®. |
data driven product management: High Growth Handbook Elad Gil, 2018-07-17 High Growth Handbook is the playbook for growing your startup into a global brand. Global technology executive, serial entrepreneur, and angel investor Elad Gil has worked with high-growth tech companies including Airbnb, Twitter, Google, Stripe, and Square as they’ve grown from small companies into global enterprises. Across all of these breakout companies, Gil has identified a set of common patterns and created an accessible playbook for scaling high-growth startups, which he has now codified in High Growth Handbook. In this definitive guide, Gil covers key topics, including: · The role of the CEO · Managing a board · Recruiting and overseeing an executive team · Mergers and acquisitions · Initial public offerings · Late-stage funding. Informed by interviews with some of the biggest names in Silicon Valley, including Reid Hoffman (LinkedIn), Marc Andreessen (Andreessen Horowitz), and Aaron Levie (Box), High Growth Handbook presents crystal-clear guidance for navigating the most complex challenges that confront leaders and operators in high-growth startups. |
DATA-DRIVEN PRODUCT MANAGEMENT
Data-driven Product Management: A study into discovering and crafting best practices to lead software products with metrics Master’s thesis 2023 148 pages, 14 figures, 9 tables and 2 …
Data Product Management: Strategies, Challenges, and …
This journal article explores the evolving landscape of data product management, highlighting key strategies, challenges, and opportunities for organizations seeking to leverage data-driven …
Data-Powered Product Management: How Analytics and …
scape, data-driven decision-making is essential for successful product management. This paper explores how analytics and insights shape strat gic growth by enabling informed decisions at …
Research on data-driven product decision-making and …
May 4, 2024 · mechanism of data-driven product decision-making in improving operational efficiency. The results show that the data-driven decision-making method can significantly …
Data-driven begins with DATA; Potential of data assets
2.3 The role of data assets in data-driven, fact-based product portfolio management This chapter focuses on the role of data assets in product portfolio management (PPM).
Data-driven Decision-making for Product Managers - Springer
This book is designed to help product managers understand core con-cepts related to data, learn to analyze and leverage data, make data-driven product decisions, and communicate data-driven …
Data-Driven Software Product Management: What is the role of …
Software product management is a key function in companies offering or based on a software product, whether it be a mobile application, down-loadable computer software, or a digital …
Data-Driven Decision-Making: Leveraging Analytics for …
By examining key principles such as data acquisition, analysis, and interpretation, this section sets the stage for a comprehensive understanding of how data-driven insights can empower product …
Product Information Management? Product MDM? Or Both?
Mastering product data with MDM provides a single source of truth—based on trusted, accurate, complete product data—for any data-driven digital transformation: marketing and sales …
Disruptive Product Management Strategies in the Digital Era
This paper explores the key strategies that define successful disruptive product management, such as customer-centric innovation, agile methodologies, data-driven decision-making, and cross …
Data Driven Product Management - IIT Guwahati
Accelerate your career in Data Driven Decision Making. Why choose E&ICT IIT Guwahati Product Management Program? The brand value associated with an IIT certification can provide a …
UNDERSTANDING USAGE DATA-DRIVEN PRODUCT …
From its results, a detailed description of usage data-driven product planning consisting of six main concepts is derived. Furthermore, taxonomies for the advantages, success factors and …
LEVERAGING DATA-DRIVEN PRODUCT MANAGEMENT TO …
In this research paper, the author explores the different approaches fintech firms adopt in product management and ways to improve customer experience using data analytics, machine learning,...
The data-driven enterprise of 2025 - McKinsey & Company
The following are the seven characteristics of the data-driven enterprise: Data is embedded in every decision, interaction, and process. Data is processed and delivered in real time. Flexible data …
Data-Driven Decision-Making: Leveraging Analytics for …
This scholarly article delves into the pivotal intersection of data analytics and product management, exploring the transformative potential of leveraging data-driven decision-making strategies.
A framework for Big Data driven product lifecycle management
Please cite this article as: Zhang Y, Ren S, Liu Y, Sakao T, Huisingh D, A framework for Big Data driven product lifecycle management, Journal of Cleaner Production (2017), doi: …
Data-Driven Product Management: A Practitioner-Driven …
We investigate the expectations and derive requirements leading us to open research questions, a vision for data-driven product management, and a research agenda to shape future research...
Digitalisation of a Company Decision-Making System: A …
concept for data-driven, product-level analysis of company products and product portfolio over the product’s life cycle. The findings provide the means for a data-driven approach by the effective …
Data-driven design: the new challenges of digitalization on …
Stream 3: part of the literature works on new tools that can support data-driven design processes. In the design context, this trend means investigating the field of analytics for design, whose …
Building Data-Driven Research Impact Metrics: A Product …
ABSTRACT: This article examines the strategic development and implementation of data-driven research impact metrics from a product management perspective. It presents a comprehensive …
DATA-DRIVEN PRODUCT MANAGEMENT
Data-driven Product Management: A study into discovering and crafting best practices to lead software products with metrics Master’s thesis 2023 148 pages, 14 figures, 9 tables and 2 …
Data Product Management: Strategies, Challenges, and …
This journal article explores the evolving landscape of data product management, highlighting key strategies, challenges, and opportunities for organizations seeking to leverage data-driven …
Data-Powered Product Management: How Analytics and …
scape, data-driven decision-making is essential for successful product management. This paper explores how analytics and insights shape strat gic growth by enabling informed decisions at …
Research on data-driven product decision-making and …
May 4, 2024 · mechanism of data-driven product decision-making in improving operational efficiency. The results show that the data-driven decision-making method can significantly …
Data-driven begins with DATA; Potential of data assets
2.3 The role of data assets in data-driven, fact-based product portfolio management This chapter focuses on the role of data assets in product portfolio management (PPM).
Data-driven Decision-making for Product Managers - Springer
This book is designed to help product managers understand core con-cepts related to data, learn to analyze and leverage data, make data-driven product decisions, and communicate data …
Data-Driven Software Product Management: What is the …
Software product management is a key function in companies offering or based on a software product, whether it be a mobile application, down-loadable computer software, or a digital …
Data-Driven Decision-Making: Leveraging Analytics for …
By examining key principles such as data acquisition, analysis, and interpretation, this section sets the stage for a comprehensive understanding of how data-driven insights can empower …
Product Information Management? Product MDM? Or Both?
Mastering product data with MDM provides a single source of truth—based on trusted, accurate, complete product data—for any data-driven digital transformation: marketing and sales …
Disruptive Product Management Strategies in the Digital Era
This paper explores the key strategies that define successful disruptive product management, such as customer-centric innovation, agile methodologies, data-driven decision-making, and …
Data Driven Product Management - IIT Guwahati
Accelerate your career in Data Driven Decision Making. Why choose E&ICT IIT Guwahati Product Management Program? The brand value associated with an IIT certification can provide a …
UNDERSTANDING USAGE DATA-DRIVEN PRODUCT …
From its results, a detailed description of usage data-driven product planning consisting of six main concepts is derived. Furthermore, taxonomies for the advantages, success factors and …
LEVERAGING DATA-DRIVEN PRODUCT MANAGEMENT TO …
In this research paper, the author explores the different approaches fintech firms adopt in product management and ways to improve customer experience using data analytics, machine …
The data-driven enterprise of 2025 - McKinsey & Company
The following are the seven characteristics of the data-driven enterprise: Data is embedded in every decision, interaction, and process. Data is processed and delivered in real time. Flexible …
Data-Driven Decision-Making: Leveraging Analytics for …
This scholarly article delves into the pivotal intersection of data analytics and product management, exploring the transformative potential of leveraging data-driven decision-making …
A framework for Big Data driven product lifecycle …
Please cite this article as: Zhang Y, Ren S, Liu Y, Sakao T, Huisingh D, A framework for Big Data driven product lifecycle management, Journal of Cleaner Production (2017), doi: …
Data-Driven Product Management: A Practitioner-Driven …
We investigate the expectations and derive requirements leading us to open research questions, a vision for data-driven product management, and a research agenda to shape future research...
Digitalisation of a Company Decision-Making System: A …
concept for data-driven, product-level analysis of company products and product portfolio over the product’s life cycle. The findings provide the means for a data-driven approach by the effective …
Data-driven design: the new challenges of digitalization …
Stream 3: part of the literature works on new tools that can support data-driven design processes. In the design context, this trend means investigating the field of analytics for design, whose …
Building Data-Driven Research Impact Metrics: A Product …
ABSTRACT: This article examines the strategic development and implementation of data-driven research impact metrics from a product management perspective. It presents a …