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| data analysis product manager: Data Science For Dummies Lillian Pierson, 2021-08-20 Monetize your company’s data and data science expertise without spending a fortune on hiring independent strategy consultants to help What if there was one simple, clear process for ensuring that all your company’s data science projects achieve a high a return on investment? What if you could validate your ideas for future data science projects, and select the one idea that’s most prime for achieving profitability while also moving your company closer to its business vision? There is. Industry-acclaimed data science consultant, Lillian Pierson, shares her proprietary STAR Framework – A simple, proven process for leading profit-forming data science projects. Not sure what data science is yet? Don’t worry! Parts 1 and 2 of Data Science For Dummies will get all the bases covered for you. And if you’re already a data science expert? Then you really won’t want to miss the data science strategy and data monetization gems that are shared in Part 3 onward throughout this book. Data Science For Dummies demonstrates: The only process you’ll ever need to lead profitable data science projects Secret, reverse-engineered data monetization tactics that no one’s talking about The shocking truth about how simple natural language processing can be How to beat the crowd of data professionals by cultivating your own unique blend of data science expertise Whether you’re new to the data science field or already a decade in, you’re sure to learn something new and incredibly valuable from Data Science For Dummies. Discover how to generate massive business wins from your company’s data by picking up your copy today. |
| data analysis product manager: 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 analysis product manager: 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 analysis product manager: HBR Guide to Data Analytics Basics for Managers (HBR Guide Series) Harvard Business Review, 2018-03-13 Don't let a fear of numbers hold you back. Today's business environment brings with it an onslaught of data. Now more than ever, managers must know how to tease insight from data--to understand where the numbers come from, make sense of them, and use them to inform tough decisions. How do you get started? Whether you're working with data experts or running your own tests, you'll find answers in the HBR Guide to Data Analytics Basics for Managers. This book describes three key steps in the data analysis process, so you can get the information you need, study the data, and communicate your findings to others. You'll learn how to: Identify the metrics you need to measure Run experiments and A/B tests Ask the right questions of your data experts Understand statistical terms and concepts Create effective charts and visualizations Avoid common mistakes |
| data analysis product manager: 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 analysis product manager: Product Analytics Joanne Rodrigues, 2020-08-27 Use Product Analytics to Understand Consumer Behavior and Change It at Scale Product Analytics is a complete, hands-on guide to generating actionable business insights from customer data. Experienced data scientist and enterprise manager Joanne Rodrigues introduces practical statistical techniques for determining why things happen and how to change what people do at scale. She complements these with powerful social science techniques for creating better theories, designing better metrics, and driving more rapid and sustained behavior change. Writing for entrepreneurs, product managers/marketers, and other business practitioners, Rodrigues teaches through intuitive examples from both web and offline environments. Avoiding math-heavy explanations, she guides you step by step through choosing the right techniques and algorithms for each application, running analyses in R, and getting answers you can trust. Develop core metrics and effective KPIs for user analytics in any web product Truly understand statistical inference, and the differences between correlation and causation Conduct more effective A/B tests Build intuitive predictive models to capture user behavior in products Use modern, quasi-experimental designs and statistical matching to tease out causal effects from observational data Improve response through uplift modeling and other sophisticated targeting methods Project business costs/subgroup population changes via advanced demographic projection Whatever your product or service, this guide can help you create precision-targeted marketing campaigns, improve consumer satisfaction and engagement, and grow revenue and profits. Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details. |
| data analysis product manager: Seeing What Others Don't Gary Klein, 2013-06-25 Insights -- like Darwin's understanding of the way evolution actually works, and Watson and Crick's breakthrough discoveries about the structure of DNA -- can change the world. We also need insights into the everyday things that frustrate and confuse us so that we can more effectively solve problems and get things done. Yet we know very little about when, why, or how insights are formed -- or what blocks them. In Seeing What Others Don't, renowned cognitive psychologist Gary Klein unravels the mystery. Klein is a keen observer of people in their natural settings -- scientists, businesspeople, firefighters, police officers, soldiers, family members, friends, himself -- and uses a marvelous variety of stories to illuminate his research into what insights are and how they happen. What, for example, enabled Harry Markopolos to put the finger on Bernie Madoff? How did Dr. Michael Gottlieb make the connections between different patients that allowed him to publish the first announcement of the AIDS epidemic? What did Admiral Yamamoto see (and what did the Americans miss) in a 1940 British attack on the Italian fleet that enabled him to develop the strategy of attack at Pearl Harbor? How did a smokejumper see that setting another fire would save his life, while those who ignored his insight perished? How did Martin Chalfie come up with a million-dollar idea (and a Nobel Prize) for a natural flashlight that enabled researchers to look inside living organisms to watch biological processes in action? Klein also dissects impediments to insight, such as when organizations claim to value employee creativity and to encourage breakthroughs but in reality block disruptive ideas and prioritize avoidance of mistakes. Or when information technology systems are dumb by design and block potential discoveries. Both scientifically sophisticated and fun to read, Seeing What Others Don't shows that insight is not just a eureka! moment but a whole new way of understanding. |
| data analysis product manager: 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 analysis product manager: 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 analysis product manager: The Signal and the Noise Nate Silver, 2015-02-03 One of the more momentous books of the decade. —The New York Times Book Review Nate Silver built an innovative system for predicting baseball performance, predicted the 2008 election within a hair’s breadth, and became a national sensation as a blogger—all by the time he was thirty. He solidified his standing as the nation's foremost political forecaster with his near perfect prediction of the 2012 election. Silver is the founder and editor in chief of the website FiveThirtyEight. Drawing on his own groundbreaking work, Silver examines the world of prediction, investigating how we can distinguish a true signal from a universe of noisy data. Most predictions fail, often at great cost to society, because most of us have a poor understanding of probability and uncertainty. Both experts and laypeople mistake more confident predictions for more accurate ones. But overconfidence is often the reason for failure. If our appreciation of uncertainty improves, our predictions can get better too. This is the “prediction paradox”: The more humility we have about our ability to make predictions, the more successful we can be in planning for the future. In keeping with his own aim to seek truth from data, Silver visits the most successful forecasters in a range of areas, from hurricanes to baseball to global pandemics, from the poker table to the stock market, from Capitol Hill to the NBA. He explains and evaluates how these forecasters think and what bonds they share. What lies behind their success? Are they good—or just lucky? What patterns have they unraveled? And are their forecasts really right? He explores unanticipated commonalities and exposes unexpected juxtapositions. And sometimes, it is not so much how good a prediction is in an absolute sense that matters but how good it is relative to the competition. In other cases, prediction is still a very rudimentary—and dangerous—science. Silver observes that the most accurate forecasters tend to have a superior command of probability, and they tend to be both humble and hardworking. They distinguish the predictable from the unpredictable, and they notice a thousand little details that lead them closer to the truth. Because of their appreciation of probability, they can distinguish the signal from the noise. With everything from the health of the global economy to our ability to fight terrorism dependent on the quality of our predictions, Nate Silver’s insights are an essential read. |
| data analysis product manager: EMPOWERED Marty Cagan, 2020-12-03 Great teams are comprised of ordinary people that are empowered and inspired. They are empowered to solve hard problems in ways their customers love yet work for their business. They are inspired with ideas and techniques for quickly evaluating those ideas to discover solutions that work: they are valuable, usable, feasible and viable. This book is about the idea and reality of achieving extraordinary results from ordinary people. Empowered is the companion to Inspired. It addresses the other half of the problem of building tech products?how to get the absolute best work from your product teams. However, the book's message applies much more broadly than just to product teams. Inspired was aimed at product managers. Empowered is aimed at all levels of technology-powered organizations: founders and CEO's, leaders of product, technology and design, and the countless product managers, product designers and engineers that comprise the teams. This book will not just inspire companies to empower their employees but will teach them how. This book will help readers achieve the benefits of truly empowered teams-- |
| data analysis product manager: Cracking the PM Interview Gayle Laakmann McDowell, Jackie Bavaro, 2013 How many pizzas are delivered in Manhattan? How do you design an alarm clock for the blind? What is your favorite piece of software and why? How would you launch a video rental service in India? This book will teach you how to answer these questions and more. Cracking the PM Interview is a comprehensive book about landing a product management role in a startup or bigger tech company. Learn how the ambiguously-named PM (product manager / program manager) role varies across companies, what experience you need, how to make your existing experience translate, what a great PM resume and cover letter look like, and finally, how to master the interview: estimation questions, behavioral questions, case questions, product questions, technical questions, and the super important pitch. |
| data analysis product manager: 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 analysis product manager: Analytics at Work Thomas H. Davenport, Jeanne G. Harris, Robert Morison, 2010 As a follow-up to the successful Competing on Analytics, authors Tom Davenport, Jeanne Harris, and Robert Morison provide practical frameworks and tools for all companies that want to use analytics as a basis for more effective and more profitable decision making. Regardless of your company's strategy, and whether or not analytics are your company's primary source of competitive differentiation, this book is designed to help you assess your organization's analytical capabilities, provide the tools to build these capabilities, and put analytics to work. The book helps you answer these pressing questions: What assets do I need in place in my organization in order to use analytics to run my business? Once I have these assets, how do I deploy them to get the most from an analytic approach? How do I get an analytic initiative off the ground in the first place, and then how do I sustain analytics in my organization over time? Packed with tools, frameworks, and all new examples, Analytics at Work makes analytics understandable and accessible and teaches you how to make your company more analytical. |
| data analysis product manager: API Analytics for Product Managers Deepa Goyal, Kin Lane, 2023-02-21 Research, strategize, market, and continuously measure the effectiveness of APIs to meet your SaaS business goals with this practical handbook Key FeaturesTransform your APIs into revenue-generating entities by turning them into productsMeet your business needs by improving the way you research, strategize, market, and measure resultsCreate and implement a variety of metrics to promote growthBook Description APIs are crucial in the modern market as they allow faster innovation. But have you ever considered your APIs as products for revenue generation? API Analytics for Product Managers takes you through the benefits of efficient researching, strategizing, marketing, and continuously measuring the effectiveness of your APIs to help grow both B2B and B2C SaaS companies. Once you've been introduced to the concept of an API as a product, this fast-paced guide will show you how to establish metrics for activation, retention, engagement, and usage of your API products, as well as metrics to measure the reach and effectiveness of documentation—an often-overlooked aspect of development. Of course, it's not all about the product—as any good product manager knows; you need to understand your customers' needs, expectations, and satisfaction too. Once you've gathered your data, you'll need to be able to derive actionable insights from it. This is where the book covers the advanced concepts of leading and lagging metrics, removing bias from the metric-setting process, and bringing metrics together to establish long- and short-term goals. By the end of this book, you'll be perfectly placed to apply product management methodologies to the building and scaling of revenue-generating APIs. What you will learnBuild a long-term strategy for an APIExplore the concepts of the API life cycle and API maturityUnderstand APIs from a product management perspectiveCreate support models for your APIs that scale with the productApply user research principles to APIsExplore the metrics of activation, retention, engagement, and churnCluster metrics together to provide contextExamine the consequences of gameable and vanity metricsWho this book is for If you're a product manager, engineer, or product executive charged with making the most of APIs for your SaaS business, then this book is for you. Basic knowledge of how APIs work and what they do is essential before you get started with this book, since the book covers the analytical side of measuring their performance to help your business grow. |
| data analysis product manager: Practical Web Analytics for User Experience Michael Beasley, 2013-06-21 Practical Web Analytics for User Experience teaches you how to use web analytics to help answer the complicated questions facing UX professionals. Within this book, you'll find a quantitative approach for measuring a website's effectiveness and the methods for posing and answering specific questions about how users navigate a website. The book is organized according to the concerns UX practitioners face. Chapters are devoted to traffic, clickpath, and content use analysis, measuring the effectiveness of design changes, including A/B testing, building user profiles based on search habits, supporting usability test findings with reporting, and more. This is the must-have resource you need to start capitalizing on web analytics and analyze websites effectively. - Discover concrete information on how web analytics data support user research and user-centered design - Learn how to frame questions in a way that lets you navigate through massive amounts of data to get the answer you need - Learn how to gather information for personas, verify behavior found in usability testing, support heuristic evaluation with data, analyze keyword data, and understand how to communicate these findings with business stakeholders |
| data analysis product manager: Outcomes Over Output Joshua Seiden, 2019-04-08 A project has to have a goal, otherwise, how do you know you're done? In the old days of engineering, setting project goals wasn't that hard. But when you're making software products, done is less obvious. When is Microsoft Word done? When is Google done? Or Facebook? In reality, software systems are never done. So then how do we give teams a goal that they can work on? Mostly, we simply ask teams to build features-but features are the wrong way to go. We often build features that create no value. Instead, we need to give teams an outcome to achieve. Setting goals as outcomes sounds simple, but it can be hard to do in practice. This book is a practical guide to using outcomes to guide the work of your team--Publisher's website. |
| data analysis product manager: 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 analysis product manager: 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 analysis product manager: Zone to Win Geoffrey A. Moore, 2015-11-03 Over the last 25 years, Geoffrey Moore has established himself as one of the most influential high-tech advisors in the world—once prompting Conan O’Brien to ask “Who is Geoffrey Moore and why is he more famous than me?” Following up on the ferociously innovative ESCAPE VELOCITY, which served as the basis for Moore’s consulting work to such companies as Salesforce, Microsoft, and Intel, ZONE TO WIN serves as the companion playbook for his landmark guide, offering a practical manual to address the challenge large enterprises face when they seek to add a new line of business to their established portfolio. Focused on spurring next-generation growth, guiding mergers and acquisitions, and embracing disruption and innovation, ZONE TO WIN is a high-powered tool for driving your company above and beyond its limitations, its definitions of success, and ultimately, its competitors. Moore’s classic bestseller, CROSSING THE CHASM, has sold more than one million copies by addressing the challenges faced by start-up companies. Now ZONE TO WIN is set to guide established enterprises through the same journey. “For any company, regardless of size or industry, ZONE TO WIN is the playbook for succeeding in today’s disruptive, connected, fast-paced business world.” —Marc Benioff, CEO, Salesforce “Once again Geoffrey Moore weighs in with a prescient examination of what it takes to win in today’s competitive, disruptive business environment.” —Satya Nadella, CEO, Microsoft With this book, Geoffrey Moore continues to lead us all through ever-changing times...His work has changed the game of changing the game! —Gary Kovacs, CEO, AVG “ZONE TO WIN uses crystal-clear language to describe the management plays necessary to win in an ever-disrupting marketplace. Regardless of your level of management experience, you will find this book an invaluable tool for building long-term success for your business.” —Lip-Bu Tan, President and CEO, Cadence Design Systems |
| data analysis product manager: Media Innovation and Entrepreneurship Michelle Ferrier, Dr Elizabeth Mays, Ph.D., 2017-10-24 Media Innovation & Entrepreneurship is an open, collaboratively written and edited volume designed to fill the needs of a growing number of journalism and mass communications programs in the U.S. that are teaching media entrepreneurship, media innovation, and the business of journalism to undergraduate and graduate students. |
| data analysis product manager: The Product Manager's Desk Reference Steven Haines, 2008-07-31 Grab the all-you-need reference and manage your products effectively and efficiently Now, product managers at every level can have an authoritative, one-stop reference to strategizing, introducing, and managing products at their fingertips. The Product Manager’s Desk Reference uses the progression of the practitioner across the career cycle as well as the progression of the product across its life cycle to establish clear guidelines as to what must be done, when, by whom, and with what level of expertise. |
| data analysis product manager: 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 analysis product manager: Ten Years to Midnight Blair H. Sheppard, 2020-08-04 “Shows how humans have brought us to the brink and how humanity can find solutions. I urge people to read with humility and the daring to act.” —Harpal Singh, former Chair, Save the Children, India, and former Vice Chair, Save the Children International In conversations with people all over the world, from government officials and business leaders to taxi drivers and schoolteachers, Blair Sheppard, global leader for strategy and leadership at PwC, discovered they all had surprisingly similar concerns. In this prescient and pragmatic book, he and his team sum up these concerns in what they call the ADAPT framework: Asymmetry of wealth; Disruption wrought by the unexpected and often problematic consequences of technology; Age disparities--stresses caused by very young or very old populations in developed and emerging countries; Polarization as a symptom of the breakdown in global and national consensus; and loss of Trust in the institutions that underpin and stabilize society. These concerns are in turn precipitating four crises: a crisis of prosperity, a crisis of technology, a crisis of institutional legitimacy, and a crisis of leadership. Sheppard and his team analyze the complex roots of these crises--but they also offer solutions, albeit often seemingly counterintuitive ones. For example, in an era of globalization, we need to place a much greater emphasis on developing self-sustaining local economies. And as technology permeates our lives, we need computer scientists and engineers conversant with sociology and psychology and poets who can code. The authors argue persuasively that we have only a decade to make headway on these problems. But if we tackle them now, thoughtfully, imaginatively, creatively, and energetically, in ten years we could be looking at a dawn instead of darkness. |
| data analysis product manager: How to Start a Business Analyst Career Laura Brandenburg, 2015-01-02 You may be wondering if business analysis is the right career choice, debating if you have what it takes to be successful as a business analyst, or looking for tips to maximize your business analysis opportunities. With the average salary for a business analyst in the United States reaching above $90,000 per year, more talented, experienced professionals are pursuing business analysis careers than ever before. But the path is not clear cut. No degree will guarantee you will start in a business analyst role. What's more, few junior-level business analyst jobs exist. Yet every year professionals with experience in other occupations move directly into mid-level and even senior-level business analyst roles. My promise to you is that this book will help you find your best path forward into a business analyst career. More than that, you will know exactly what to do next to expand your business analysis opportunities. |
| data analysis product manager: Guide to Product Ownership Analysis Iiba, 2021-05-13 Product Ownership Analysis (POA) is a discipline that can be used to assist teams in creating and delivering exceptional products and services for their customers. The Guide to Product Ownership Analysis provides a foundational understanding of the Product Ownership Analysis discipline and outlines a defined framework, techniques, and case studies for practical application. Look for the Certification for POA at IIBA.org. |
| data analysis product manager: Product Management For Dummies Brian Lawley, Pamela Schure, 2017-01-24 Your one-stop guide to becoming a product management prodigy Product management plays a pivotal role in organizations. In fact, it's now considered the fourth most important title in corporate America—yet only a tiny fraction of product managers have been trained for this vital position. If you're one of the hundreds of thousands of people who hold this essential job—or simply aspire to break into a new role—Product Management For Dummies gives you the tools to increase your skill level and manage products like a pro. From defining what product management is—and isn't—to exploring the rising importance of product management in the corporate world, this friendly and accessible guide quickly gets you up to speed on everything it takes to thrive in this growing field. It offers plain-English explanations of the product life cycle, market research, competitive analysis, market and pricing strategy, product roadmaps, the people skills it takes to effectively influence and negotiate, and so much more. Create a winning strategy for your product Gather and analyze customer and market feedback Prioritize and convey requirements to engineering teams effectively Maximize revenues and profitability Product managers are responsible for so much more than meets the eye—and this friendly, authoritative guide lifts the curtain on what it takes to succeed. |
| data analysis product manager: Product Management Case Study Approach Devesh Verma, 2020-07-26 A practical step by step guide to ideating and building a successful Application in this hyper-competitive digital world. The book is structured as per the Product Management Lifecycle and covers the below using a Case Study based approach - 1. Detailed explanation of the Product Management Lifecycle stages 2. Tools and Methodologies Product Managers and Technology Entrepreneurs use at each stage 3. Expected Outcomes and Deliverables from each stage 4. Practical Case-based illustrations to facilitate your understanding of the concepts If you are a budding entrepreneur, a start-up or an organization looking forward to launching a new app, you should follow the approach as described in the book for an all-encompassing and comprehensive app launch! If you are planning to make a career in Digital Product Management, then the book will help you in learning what would otherwise take years of experience! Existing Product Management Professionals launching new Apps or new features in existing Apps can benefit from the process, tools and methodologies described in the book! Technology Consultants looking to make an enticing proposal for their clients or looking for a great execution plan can simply create templates out of the book! |
| data analysis product manager: Decode and Conquer Lewis C. Lin, 2013-11-28 Land that Dream Product Manager Job...TODAYSeeking a product management position?Get Decode and Conquer, the world's first book on preparing you for the product management (PM) interview. Author and professional interview coach, Lewis C. Lin provides you with an industry insider's perspective on how to conquer the most difficult PM interview questions. Decode and Conquer reveals: Frameworks for tackling product design and metrics questions, including the CIRCLES Method(tm), AARM Method(tm), and DIGS Method(tm) Biggest mistakes PM candidates make at the interview and how to avoid them Insider tips on just what interviewers are looking for and how to answer so they can't say NO to hiring you Sample answers for the most important PM interview questions Questions and answers covered in the book include: Design a new iPad app for Google Spreadsheet. Brainstorm as many algorithms as possible for recommending Twitter followers. You're the CEO of the Yellow Cab taxi service. How do you respond to Uber? You're part of the Google Search web spam team. How would you detect duplicate websites? The billboard industry is under monetized. How can Google create a new product or offering to address this? Get the Book that's Recommended by Executives from Google, Amazon, Microsoft, Oracle & VMWare...TODAY |
| data analysis product manager: Cracking the PM Career Jackie Bavaro, Gayle Laakmann McDowell, 2022-04 Product management is a big role, and this is a big book. This comprehensive guide teaches new PMs and experienced PMs the skills, frameworks, and practices to become great product managers. ?Product skills: Drive better product decisions by conducting user research, performing data analysis, prototyping, writing product docs, and understanding technology.?Execution skills: Run your team well and deliver your projects quickly, smoothly, and effectively with project management, incremental development, launch processes, and good time management.?Strategic skills: Set a better direction for your team and optimize for long-term impact with vision, strategy, roadmapping, and team goals. Learn what it means to be more strategic.?Leadership skills: Lead more effectively by developing your personal mindset, collaboration, communication, inspiration, and mentorship skills.?People management: Learn leadership skills for managers, including coaching, recruiting, interviewing, and creating organizational structures.?Careers: Navigate your career by understanding the career ladder, setting goals, and translating your accomplishments into advancement. |
| data analysis product manager: Sales Engagement Manny Medina, Max Altschuler, Mark Kosoglow, 2019-03-12 Engage in sales—the modern way Sales Engagement is how you engage and interact with your potential buyer to create connection, grab attention, and generate enough interest to create a buying opportunity. Sales Engagement details the modern way to build the top of the funnel and generate qualified leads for B2B companies. This book explores why a Sales Engagement strategy is so important, and walks you through the modern sales process to ensure you’re effectively connecting with customers every step of the way. • Find common factors holding your sales back—and reverse them through channel optimization • Humanize sales with personas and relevant information at every turn • Understand why A/B testing is so incredibly critical to success, and how to do it right • Take your sales process to the next level with a rock solid, modern Sales Engagement strategy This book is essential reading for anyone interested in up-leveling their game and doing more than they ever thought possible. |
| data analysis product manager: Agile Data Science Russell Jurney, 2013-10-15 Mining big data requires a deep investment in people and time. How can you be sure you’re building the right models? With this hands-on book, you’ll learn a flexible toolset and methodology for building effective analytics applications with Hadoop. Using lightweight tools such as Python, Apache Pig, and the D3.js library, your team will create an agile environment for exploring data, starting with an example application to mine your own email inboxes. You’ll learn an iterative approach that enables you to quickly change the kind of analysis you’re doing, depending on what the data is telling you. All example code in this book is available as working Heroku apps. Create analytics applications by using the agile big data development methodology Build value from your data in a series of agile sprints, using the data-value stack Gain insight by using several data structures to extract multiple features from a single dataset Visualize data with charts, and expose different aspects through interactive reports Use historical data to predict the future, and translate predictions into action Get feedback from users after each sprint to keep your project on track |
| data analysis product manager: Agile Data Science 2.0 Russell Jurney, 2017-06-07 Data science teams looking to turn research into useful analytics applications require not only the right tools, but also the right approach if they’re to succeed. With the revised second edition of this hands-on guide, up-and-coming data scientists will learn how to use the Agile Data Science development methodology to build data applications with Python, Apache Spark, Kafka, and other tools. Author Russell Jurney demonstrates how to compose a data platform for building, deploying, and refining analytics applications with Apache Kafka, MongoDB, ElasticSearch, d3.js, scikit-learn, and Apache Airflow. You’ll learn an iterative approach that lets you quickly change the kind of analysis you’re doing, depending on what the data is telling you. Publish data science work as a web application, and affect meaningful change in your organization. Build value from your data in a series of agile sprints, using the data-value pyramid Extract features for statistical models from a single dataset Visualize data with charts, and expose different aspects through interactive reports Use historical data to predict the future via classification and regression Translate predictions into actions Get feedback from users after each sprint to keep your project on track |
| data analysis product manager: The Influential Product Manager Ken Sandy, 2020-01-14 This book is a comprehensive and practical guide to the core skills, activities, and behaviors that are required of product managers in modern technology companies. Product management is one of the fastest growing and most sought-after roles by job seekers and companies alike. The availability of trained and experienced talent can barely keep up with the accelerating demand for new and improved technology products. People from nontechnical and technical backgrounds alike are eager to master this exciting new role. The Influential Product Manager teaches product managers how to behave at each stage of the product life cycle to achieve the best outcome for the customer. Product managers are under pressure to drive spectacular results, often without wielding much direct power or authority. If you don't know how to influence people at all levels of the organization, how will you create the best possible product? This comprehensive entry-level textbook distills over twenty years of hard-won field experience and industry knowledge into lessons that will empower new product managers to act like pros right out of the gate. With teaching experience both from UC Berkeley and Lynda.com, the author boils down the most complex topics into principles that are easy to memorize and apply. This book methodically documents the tools product managers everywhere use to align their teams with market needs and organizational goals. From setting priorities to capturing requirements to navigating trade-offs, this book makes it easy. Not only will your product succeed, you'll succeed, too, when you read the final chapter on advancing your career. Let your product's success become your success! |
| data analysis product manager: 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 analysis product manager: An Introduction to Data Analysis Bruce D. Bowen, Herbert F. Weisberg, 1980 |
| data analysis product manager: Behind Every Good Decision Piyanka Jain, Puneet Sharma, 2014-11-05 There is a misconception in business that the only data that matters is BIG data, and that elaborate tools and data scientists are required to extract any practical information. However, nothing could be further from the truth. If you feel that you can’t understand how to read, let alone implement, these complex software programs that crunch the data and spit out more data, that will no longer be a problem! Authors and analytics experts Piyanka Jain and Puneet Sharma demystify the process of business analytics and demonstrate how professionals at any level can take the information at their disposal and in only five simple steps--using only Excel as a tool--make the decision necessary to increase revenue, decrease costs, improve product, or whatever else is being asked of them at that time. In Behind Every Good Decision, you will learn how to: Clarify the business question Lay out a hypothesis-driven plan Pull relevant data Convert it to insights Make decisions that make an impact Packed with examples and exercises, this refreshingly accessible book explains the four fundamental analytic techniques that can help solve a surprising 80 percent of all business problems. It doesn’t take a numbers person to know that is a formula you need! |
| data analysis product manager: The Guide to the Product Management and Marketing Body of Knowledge Greg Geracie, 2013 Setting the Standard for Product Management and Marketing Many of the leading voices in the product management profession collaborated closely with working product managers to develop The Guide to the Product Management and Marketing Body of Knowledge (the ProdBOK(r) Guide). This effort was enhanced by project management, user experience, and business analyst thought leaders who further defined and optimized several essential working relationships that improve product manager effectiveness. As a result of this groundbreaking collaboration within the product management community and across the adjoining professions, the ProdBOK Guide provides the most comprehensive view of product management and marketing as they apply to a wide range of goods and services. The resulting standard provides product managers with essential knowledge to improve the practice of product management and deliver organizational results. This edition of the ProdBOK Guide: Introduces a product management lifecycle for goods and services Encompasses and defines traditional product development processes such as waterfall, as well as newer approaches that fall under the Agile umbrella Illustrates the various inputs and outputs that product managers should consider at each phase of the product management lifecycle Highlights how to optimize the working relationship between product management professionals and our counterparts in the project, program, portfolio management, user experience, and business analyst communities Describes essential tools that product managers should be aware of and utilize as they work to create value for their Organizations The ProdBOK Guide represents an industry-wide effort to establish a standard for the practice of product management. The book was sponsored by the Association of International Product Marketing and Management (AIPMM). Founded in 1998, AIPMM aims to help professionals like you attain a higher level of knowledge and enhance the results you bring to your organizations every day. About the Authors Greg Geracie is a recognized product management thought leader and the president of Actuation Consulting, a global provider of product management training, consulting, and advisory services to some of the world's most well-known organizations. Greg is the author of the global best seller Take Charge Product Management and led the development of the ProdBOK Guide as editor-in-chief. He is also an adjunct professor at DePaul University in Chicago, Illinois. Steven D. Eppinger is professor of management science and innovation at the Massachusetts Institute of Technology (MIT) Sloan School of Management. Professor Eppinger teaches MIT's executive programs in product development and complex project management. He has co-authored a leading textbook, Product Design and Development (5th edition, 2012, McGraw-Hill), which is used by hundreds of universities around the worl |
| data analysis product manager: 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 analysis product manager: Programming JavaScript Applications Eric Elliott, 2014-06-26 Take advantage of JavaScript’s power to build robust web-scale or enterprise applications that are easy to extend and maintain. By applying the design patterns outlined in this practical book, experienced JavaScript developers will learn how to write flexible and resilient code that’s easier—yes, easier—to work with as your code base grows. JavaScript may be the most essential web programming language, but in the real world, JavaScript applications often break when you make changes. With this book, author Eric Elliott shows you how to add client- and server-side features to a large JavaScript application without negatively affecting the rest of your code. Examine the anatomy of a large-scale JavaScript application Build modern web apps with the capabilities of desktop applications Learn best practices for code organization, modularity, and reuse Separate your application into different layers of responsibility Build efficient, self-describing hypermedia APIs with Node.js Test, integrate, and deploy software updates in rapid cycles Control resource access with user authentication and authorization Expand your application’s reach through internationalization |
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