Data Science

Create Teams That Ask the Right Questions and Deliver Real Value

Author: Doug Rose

Publisher: Apress

ISBN: 1484222539

Category: Computers

Page: 251

View: 1723

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Learn how to build a data science team within your organization rather than hiring from the outside. Teach your team to ask the right questions to gain actionable insights into your business. Most organizations still focus on objectives and deliverables. Instead, a data science team is exploratory. They use the scientific method to ask interesting questions and run small experiments. Your team needs to see if the data illuminate their questions. Then, they have to use critical thinking techniques to justify their insights and reasoning. They should pivot their efforts to keep their insights aligned with business value. Finally, your team needs to deliver these insights as a compelling story. Insight!: How to Build Data Science Teams that Deliver Real Business Value shows that the most important thing you can do now is help your team think about data. Management coach Doug Rose walks you through the process of creating and managing effective data science teams. You will learn how to find the right people inside your organization and equip them with the right mindset. The book has three overarching concepts: You should mine your own company for talent. You can’t change your organization by hiring a few data science superheroes. You should form small, agile-like data teams that focus on delivering valuable insights early and often. You can make real changes to your organization by telling compelling data stories. These stories are the best way to communicate your insights about your customers, challenges, and industry. What Your Will Learn: Create data science teams from existing talent in your organization to cost-efficiently extract maximum business value from your organization’s data Understand key data science terms and concepts Follow practical guidance to create and integrate an effective data science team with key roles and the responsibilities for each team member Utilize the data science life cycle (DSLC) to model essential processes and practices for delivering value Use sprints and storytelling to help your team stay on track and adapt to new knowledge Who This Book Is For Data science project managers and team leaders. The secondary readership is data scientists, DBAs, analysts, senior management, HR managers, and performance specialists.

Building Data Science Teams

Author: DJ Patil

Publisher: "O'Reilly Media, Inc."

ISBN: 1449316778

Category: Computers

Page: 24

View: 1474

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As data science evolves to become a business necessity, the importance of assembling a strong and innovative data teams grows. In this in-depth report, data scientist DJ Patil explains the skills, perspectives, tools and processes that position data science teams for success. Topics include: What it means to be "data driven." The unique roles of data scientists. The four essential qualities of data scientists. Patil's first-hand experience building the LinkedIn data science team.

Data Scientists at Work

Author: Sebastian Gutierrez

Publisher: Apress

ISBN: 143026599X

Category: Computers

Page: 364

View: 7801

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Data Scientists at Work is a collection of interviews with sixteen of the world's most influential and innovative data scientists from across the spectrum of this hot new profession. "Data scientist is the sexiest job in the 21st century," according to the Harvard Business Review. By 2018, the United States will experience a shortage of 190,000 skilled data scientists, according to a McKinsey report. Through incisive in-depth interviews, this book mines the what, how, and why of the practice of data science from the stories, ideas, shop talk, and forecasts of its preeminent practitioners across diverse industries: social network (Yann LeCun, Facebook); professional network (Daniel Tunkelang, LinkedIn); venture capital (Roger Ehrenberg, IA Ventures); enterprise cloud computing and neuroscience (Eric Jonas, formerly Salesforce.com); newspaper and media (Chris Wiggins, The New York Times); streaming television (Caitlin Smallwood, Netflix); music forecast (Victor Hu, Next Big Sound); strategic intelligence (Amy Heineike, Quid); environmental big data (André Karpištšenko, Planet OS); geospatial marketing intelligence (Jonathan Lenaghan, PlaceIQ); advertising (Claudia Perlich, Dstillery); fashion e-commerce (Anna Smith, Rent the Runway); specialty retail (Erin Shellman, Nordstrom); email marketing (John Foreman, MailChimp); predictive sales intelligence (Kira Radinsky, SalesPredict); and humanitarian nonprofit (Jake Porway, DataKind). The book features a stimulating foreword by Google's Director of Research, Peter Norvig. Each of these data scientists shares how he or she tailors the torrent-taming techniques of big data, data visualization, search, and statistics to specific jobs by dint of ingenuity, imagination, patience, and passion. Data Scientists at Work parts the curtain on the interviewees’ earliest data projects, how they became data scientists, their discoveries and surprises in working with data, their thoughts on the past, present, and future of the profession, their experiences of team collaboration within their organizations, and the insights they have gained as they get their hands dirty refining mountains of raw data into objects of commercial, scientific, and educational value for their organizations and clients.

Agile Analytics

A Value-driven Approach to Business Intelligence and Data Warehousing

Author: Ken Collier

Publisher: Addison-Wesley

ISBN: 032150481X

Category: Business & Economics

Page: 329

View: 6711

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Using Agile methods, you can bring far greater innovation, value, and quality to any data warehousing (DW), business intelligence (BI), or analytics project. However, conventional Agile methods must be carefully adapted to address the unique characteristics of DW/BI projects. In Agile Analytics, Agile pioneer Ken Collier shows how to do just that. Collier introduces platform-agnostic Agile solutions for integrating infrastructures consisting of diverse operational, legacy, and specialty systems that mix commercial and custom code. Using working examples, he shows how to manage analytics development teams with widely diverse skill sets and how to support enormous and fast-growing data volumes. Collier's techniques offer optimal value whether your projects involve "back-end" data management, "front-end" business analysis, or both. Part I focuses on Agile project management techniques and delivery team coordination, introducing core practices that shape the way your Agile DW/BI project community can collaborate toward success Part II presents technical methods for enabling continuous delivery of business value at production-quality levels, including evolving superior designs; test-driven DW development; version control; and project automation Collier brings together proven solutions you can apply right now--whether you're an IT decision-maker, data warehouse professional, database administrator, business intelligence specialist, or database developer. With his help, you can mitigate project risk, improve business alignment, achieve better results--and have fun along the way.

Principles of Data Science

Author: Sinan Ozdemir

Publisher: Packt Publishing Ltd

ISBN: 1785888927

Category: Computers

Page: 388

View: 6161

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Learn the techniques and math you need to start making sense of your data About This Book Enhance your knowledge of coding with data science theory for practical insight into data science and analysis More than just a math class, learn how to perform real-world data science tasks with R and Python Create actionable insights and transform raw data into tangible value Who This Book Is For You should be fairly well acquainted with basic algebra and should feel comfortable reading snippets of R/Python as well as pseudo code. You should have the urge to learn and apply the techniques put forth in this book on either your own data sets or those provided to you. If you have the basic math skills but want to apply them in data science or you have good programming skills but lack math, then this book is for you. What You Will Learn Get to know the five most important steps of data science Use your data intelligently and learn how to handle it with care Bridge the gap between mathematics and programming Learn about probability, calculus, and how to use statistical models to control and clean your data and drive actionable results Build and evaluate baseline machine learning models Explore the most effective metrics to determine the success of your machine learning models Create data visualizations that communicate actionable insights Read and apply machine learning concepts to your problems and make actual predictions In Detail Need to turn your skills at programming into effective data science skills? Principles of Data Science is created to help you join the dots between mathematics, programming, and business analysis. With this book, you'll feel confident about asking—and answering—complex and sophisticated questions of your data to move from abstract and raw statistics to actionable ideas. With a unique approach that bridges the gap between mathematics and computer science, this books takes you through the entire data science pipeline. Beginning with cleaning and preparing data, and effective data mining strategies and techniques, you'll move on to build a comprehensive picture of how every piece of the data science puzzle fits together. Learn the fundamentals of computational mathematics and statistics, as well as some pseudocode being used today by data scientists and analysts. You'll get to grips with machine learning, discover the statistical models that help you take control and navigate even the densest datasets, and find out how to create powerful visualizations that communicate what your data means. Style and approach This is an easy-to-understand and accessible tutorial. It is a step-by-step guide with use cases, examples, and illustrations to get you well-versed with the concepts of data science. Along with explaining the fundamentals, the book will also introduce you to slightly advanced concepts later on and will help you implement these techniques in the real world.


A Culture of Purpose

How to Choose the Right People and Make the Right People Choose You

Author: Christoph Lueneburger

Publisher: John Wiley & Sons

ISBN: 1118896041

Category: Business & Economics

Page: 272

View: 8678

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How innovative leaders create meaningful cultures that attract and retain top talent Building a culture of purpose is one of the greatest challenges facing modern leaders, as today's best minds are looking for meaning, not just jobs. More than any other single factor, cultures of purpose power winning organizations, attracting the smartest, most creative, most passionate talent. For leaders building cultures of purpose, the commercial pursuit of sustainability provides the most reliable blueprint. While sustainability has been commonly misconstrued as a description of a set of problems, Christoph Lueneburger shows that it is really a solution to problems, capable of inspiring people and forging cultures.Sharing his exclusive, in-depth dialogues with chief sustainability officers, CEOs, and board chairmen, Lueneburger reveals how sustainability works at places where it works best, including Chrysler, Unilever, TNT, Walmart, and Bloomberg. Featuring a clear three-phase process that helps leaders assess the talent needed to develop organizations characterized by energy, resilience, and openness, A Culture of Purpose offers leaders the right questions to ask in order to: Tap and Nurture Your Current Corporate Strengths: Learn how to recognize, cultivate, and leverage the competencies of your current talent to develop your leadership team. Hire the Right Team: Ask the right questions to identify the innate personality traits in potential new hires, regardless of level and function, to bring on board those most likely to succeed in and shape your organization. Craft Your Culture: Create an environment that unleashes these competencies and traits and pushes them to the fore. Shape how people relate to one another and collectively go for what would be out of reach to them individually. Many books have described the "what" and the "how" of sustainability, but this is the first to reveal the "who." Lueneburger changes dated preconceptions to show that sustainability is not an ideological mindset but a cultural trait of a resilient business. For leaders ready to build and strengthen a winning business, A Culture of Purpose is an education, a revelation, and an invitation to the next generation of success.

Big Data in Practice

How 45 Successful Companies Used Big Data Analytics to Deliver Extraordinary Results

Author: Bernard Marr

Publisher: John Wiley & Sons

ISBN: 1119231396

Category: Business & Economics

Page: 320

View: 3894

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The best-selling author of Big Data is back, this time with a unique and in-depth insight into how specific companies use big data. Big data is on the tip of everyone's tongue. Everyone understands its power and importance, but many fail to grasp the actionable steps and resources required to utilise it effectively. This book fills the knowledge gap by showing how major companies are using big data every day, from an up-close, on-the-ground perspective. From technology, media and retail, to sport teams, government agencies and financial institutions, learn the actual strategies and processes being used to learn about customers, improve manufacturing, spur innovation, improve safety and so much more. Organised for easy dip-in navigation, each chapter follows the same structure to give you the information you need quickly. For each company profiled, learn what data was used, what problem it solved and the processes put it place to make it practical, as well as the technical details, challenges and lessons learned from each unique scenario. Learn how predictive analytics helps Amazon, Target, John Deere and Apple understand their customers Discover how big data is behind the success of Walmart, LinkedIn, Microsoft and more Learn how big data is changing medicine, law enforcement, hospitality, fashion, science and banking Develop your own big data strategy by accessing additional reading materials at the end of each chapter

Data-Driven Security

Analysis, Visualization and Dashboards

Author: Jay Jacobs,Bob Rudis

Publisher: John Wiley & Sons

ISBN: 111879382X

Category: Computers

Page: 352

View: 8996

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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.

What to Ask the Person in the Mirror

Critical Questions for Becoming a More Effective Leader and Reaching Your Potential

Author: Robert S. Kaplan

Publisher: Harvard Business Press

ISBN: 1422170012

Category: Business & Economics

Page: 264

View: 8334

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Harvard Business School professor and business leader Robert Kaplan presents a process for asking the big questions that will enable you to diagnose problems, change course if necessary, and advance your career.

Numbersense: How to Use Big Data to Your Advantage

Author: Kaiser Fung

Publisher: McGraw Hill Professional

ISBN: 0071799672

Category: Mathematics

Page: 224

View: 7462

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How to make simple sense of complex statistics--from the author of Numbers Rule Your World We live in a world of Big Data--and it's getting bigger every day. Virtually every choice we make hinges on how someone generates data . . . and how someone else interprets it--whether we realize it or not. Where do you send your child for the best education? Big Data. Which airline should you choose to ensure a timely arrival? Big Data. Who will you vote for in the next election? Big Data. The problem is, the more data we have, the more difficult it is to interpret it. From world leaders to average citizens, everyone is prone to making critical decisions based on poor data interpretations. In Numbersense, expert statistician Kaiser Fung explains when you should accept the conclusions of the Big Data "experts"--and when you should say, "Wait . . . what?" He delves deeply into a wide range of topics, offering the answers to important questions, such as: How does the college ranking system really work? Can an obesity measure solve America's biggest healthcare crisis? Should you trust current unemployment data issued by the government? How do you improve your fantasy sports team? Should you worry about businesses that track your data? Don't take for granted statements made in the media, by our leaders, or even by your best friend. We're on information overload today, and there's a lot of bad information out there. Numbersense gives you the insight into how Big Data interpretation works--and how it too often doesn't work. You won't come away with the skills of a professional statistician. But you will have a keen understanding of the data traps even the best statisticians can fall into, and you'll trust the mental alarm that goes off in your head when something just doesn't seem to add up. Praise for Numbersense "Numbersense correctly puts the emphasis not on the size of big data, but on the analysis of it. Lots of fun stories, plenty of lessons learned—in short, a great way to acquire your own sense of numbers!" Thomas H. Davenport, coauthor of Competing on Analytics and President’s Distinguished Professor of IT and Management, Babson College "Kaiser’s accessible business book will blow your mind like no other. You’ll be smarter, and you won’t even realize it. Buy. It. Now." Avinash Kaushik, Digital Marketing Evangelist, Google, and author, Web Analytics 2.0 "Each story in Numbersense goes deep into what you have to think about before you trust the numbers. Kaiser Fung ably demonstrates that it takes skill and resourcefulness to make the numbers confess their meaning." John Sall, Executive Vice President, SAS Institute "Kaiser Fung breaks the bad news—a ton more data is no panacea—but then has got your back, revealing the pitfalls of analysis with stimulating stories from the front lines of business, politics, health care, government, and education. The remedy isn’t an advanced degree, nor is it common sense. You need Numbersense." Eric Siegel, founder, Predictive Analytics World, and author, Predictive Analytics "I laughed my way through this superb-useful-fun book and learned and relearned a lot. Highly recommended!" Tom Peters, author of In Search of Excellence

Perspectives on Data Science for Software Engineering

Author: Tim Menzies,Laurie Williams,Thomas Zimmermann

Publisher: Morgan Kaufmann

ISBN: 0128042613

Category: Computers

Page: 408

View: 6146

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Perspectives on Data Science for Software Engineering presents the best practices of seasoned data miners in software engineering. The idea for this book was created during the 2014 conference at Dagstuhl, an invitation-only gathering of leading computer scientists who meet to identify and discuss cutting-edge informatics topics. At the 2014 conference, the concept of how to transfer the knowledge of experts from seasoned software engineers and data scientists to newcomers in the field highlighted many discussions. While there are many books covering data mining and software engineering basics, they present only the fundamentals and lack the perspective that comes from real-world experience. This book offers unique insights into the wisdom of the community’s leaders gathered to share hard-won lessons from the trenches. Ideas are presented in digestible chapters designed to be applicable across many domains. Topics included cover data collection, data sharing, data mining, and how to utilize these techniques in successful software projects. Newcomers to software engineering data science will learn the tips and tricks of the trade, while more experienced data scientists will benefit from war stories that show what traps to avoid. Presents the wisdom of community experts, derived from a summit on software analytics Provides contributed chapters that share discrete ideas and technique from the trenches Covers top areas of concern, including mining security and social data, data visualization, and cloud-based data Presented in clear chapters designed to be applicable across many domains

Big Data Demystified

How to use big data, data science and AI to make better business decisions and gain competitive advantage

Author: David Stephenson

Publisher: Pearson UK

ISBN: 1292218126

Category: Business & Economics

Page: 240

View: 9568

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Big Data is a big topic, based on simple principles. Guided by leading expert in the field, David Stephenson, you will be amazed at how you can transform your company, and significantly improve KPIs across a broad range of business units and applications. Find out how an ecommerce company avoided two million product returns per year, how a newspaper saw triple-digit annual growth in digital subscriptions, how researchers in England learned to better detect pending cardiovascular problems, and how AI programs taught themselves to win games using techniques that even their human programmers didn’t understand, all thanks to big data. Find out also how one company realized it could swap a million dollar hardware system with a twenty thousand dollar replacement. With simple and straightforward chapters that allow you to map examples onto your own business, Big Data Demystified will help you: · Know which data is most useful to collect now and why it’s important to start collecting that data as soon as possible.· Understand big data and data science and how they can help you reach your business goals and gain competitive advantage.· Use big data to understand where you are now and how you can improve in the future. · Understand factors in choosing a big data system, including whether to go with cloud-based solutions.· Construct your big data team in a way that supports an effective strategy and helps make your business more data-driven. BIG DATA MAKES A BIG DIFFERENCE “Read this book! It is an essential guide to using data in a practical way that drives results." Ian McHenry, CEO Beyond Pricing “This is the book we’ve been missing: big data explained without the complexity.” Marc Salomon, Professor in Decision Sciences and Dean at University of Amsterdam Business School "Big Data for the rest of us! I have never come across a book that is so full of practical advice, actionable examples and helpful explanations. Read this one book and start executing Big Data at your workplace tomorrow!"Tobias Wann CEO at @Leisure Group

Winning with Data

Transform Your Culture, Empower Your People, and Shape the Future

Author: Tomasz Tunguz,Frank Bien

Publisher: John Wiley & Sons

ISBN: 1119257239

Category: Business & Economics

Page: 176

View: 9019

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"This book shares how to instrument a company and most importantly, build an internal culture that values and uses data to maximum effect"--

HBR Guide to Data Analytics Basics for Managers (HBR Guide Series)

Author: Harvard Business Review

Publisher: Harvard Business Press

ISBN: 1633694291

Category: Business & Economics

Page: 192

View: 3405

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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

Storytelling with Data

A Data Visualization Guide for Business Professionals

Author: Cole Nussbaumer Knaflic

Publisher: John Wiley & Sons

ISBN: 1119002265

Category: Mathematics

Page: 288

View: 7929

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Don't simply show your data—tell a story with it! Storytelling with Data teaches you the fundamentals of data visualization and how to communicate effectively with data. You'll discover the power of storytelling and the way to make data a pivotal point in your story. The lessons in this illuminative text are grounded in theory, but made accessible through numerous real-world examples—ready for immediate application to your next graph or presentation. Storytelling is not an inherent skill, especially when it comes to data visualization, and the tools at our disposal don't make it any easier. This book demonstrates how to go beyond conventional tools to reach the root of your data, and how to use your data to create an engaging, informative, compelling story. Specifically, you'll learn how to: Understand the importance of context and audience Determine the appropriate type of graph for your situation Recognize and eliminate the clutter clouding your information Direct your audience's attention to the most important parts of your data Think like a designer and utilize concepts of design in data visualization Leverage the power of storytelling to help your message resonate with your audience Together, the lessons in this book will help you turn your data into high impact visual stories that stick with your audience. Rid your world of ineffective graphs, one exploding 3D pie chart at a time. There is a story in your data—Storytelling with Data will give you the skills and power to tell it!

Enterprise Agility For Dummies

Author: Doug Rose

Publisher: John Wiley & Sons

ISBN: 1119446104

Category: Business & Economics

Page: 384

View: 4270

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Manage and improve your organization's agile transformation Adopting an enterprise agile framework is a radical organizational change, and this book will help you get there without ever breaking a sweat. In Enterprise Agility For Dummies, you'll discover how to successfully choose and implement the right framework based on your organization's own unique culture. Organizational culture is one of the most overlooked challenges when trying to make a change to enterprise agile, and there are lots of resources out there that claim to have the perfect, one-size-fits-all solution. Luckily, this book takes a neutral stance and covers popular organizational change management techniques that you can implement to suit to your unique needs. Packed with step-by-step instruction and complemented with real-world case studies, this book offers everything you need to know in order to embrace a more agile mindset. Understand the benefits of an agile approach Pick the best enterprise agile framework for your organization Create a successful enterprise change management plan Let Enterprise Agility For Dummies help you optimize your business processes, and watch your productivity soar.

Creating Great Teams

How Self-Selection Lets People Excel

Author: Sandy Mamoli,David Mole

Publisher: Pragmatic Bookshelf

ISBN: 1680503340

Category: Computers

Page: 102

View: 2389

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People are happiest and most productive if they can choose what they work on and who they work with. Self-selecting teams give people that choice. Build well-designed and efficient teams to get the most out of your organization, with step-by-step instructions on how to set up teams quickly and efficiently. You'll create a process that works for you, whether you need to form teams from scratch, improve the design of existing teams, or are on the verge of a big team re-shuffle. Discover how New Zealand's biggest e-commerce company completely restructured their business through Self-Selection. In the process, find out how to create high-performing groups by letting people self-organize into small, cross-functional teams. Step-by-step guides, easy-to-follow diagrams, practical examples, checklists, and tools will enable you to run a Self-Selection process within your organization. If you're a manager who wants to structure your organization into small teams, you'll discover why Self-Selection is the fastest and safest way to do so. You'll prepare for and organize a Self-Selection event and make sure your Self-Selection participants and fellow managers are on board and ready. If you're a team member, you'll discover what it feels like to be part of a Self-Selection process and what the consequences are for your daily work. You'll learn how to influence your colleagues and bosses to be open to the idea of Self-Selection. You'll provide your manager with a plan for how to facilitate a Self-Selection event, and with evidence that the system works. If you're feeling the pain and chaos of adding new people to your organization, or just want to ensure that your teams have the right people with the right skills, Self-Selection will help you create the effective teams you need.

The Visual Organization

Data Visualization, Big Data, and the Quest for Better Decisions

Author: Phil Simon

Publisher: John Wiley & Sons

ISBN: 1118858344

Category: Computers

Page: 240

View: 9160

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The era of Big Data as arrived, and most organizations are woefully unprepared. Slowly, many are discovering that stalwarts like Excel spreadsheets, KPIs, standard reports, and even traditional business intelligence tools aren't sufficient. These old standbys can't begin to handle today's increasing streams, volumes, and types of data. Amidst all of the chaos, though, a new type of organization is emerging. In The Visual Organization, award-winning author and technology expert Phil Simon looks at how an increasingly number of organizations are embracing new dataviz tools and, more important, a new mind-set based upon data discovery and exploration. Simon adroitly shows how Amazon, Apple, Facebook, Google, Twitter, and other tech heavyweights use powerful data visualization tools to garner fascinating insights into their businesses. But make no mistake: these companies are hardly alone. Organizations of all types, industries, sizes are representing their data in new and amazing ways. As a result, they are asking better questions and making better business decisions. Rife with real-world examples and case studies, The Visual Organization is a full-color tour-de-force.

Ask

The Counterintuitive Online Formula to Discover Exactly What Your Customers Want to Buy...create a Mass of Raving Fans...and Take Any Business to the

Author: Ryan Levesque

Publisher: Dunham Group

ISBN: 9781939447722

Category: Business & Economics

Page: 160

View: 8576

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THE MIND-READING SYSTEM THAT IS REVOLUTIONIZING ONLINE BUSINESS Do you know how to find out what people"really"want to buy? (Not what you"think"they want, not what they"say"they want, but what they"really"want?) The"secret"is"asking"the right questions and the right questions are"not"what you might expect. "" "Ask"is based on the compelling premise that you should NEVER have to guess what your prospects and customers are thinking.The"Ask Formula"revealed in this book has been used to help build multi-million dollar businesses in 23 different industries, generating over $100 million dollars in sales in the process. You ll discover why the"Ask Formula"is arguably THE most powerful way to discover EXACTLY what people want to buy and how to give it to them and in a way that makes people fall in love with you and your company. In this tell-all book, expert online marketer Ryan Levesque (featured in CNBC, Yahoo Finance, "The Miami Herald," "The San Francisco Chronicle," "Mass Market Retailer," "Bloomberg Businessweek"and more) turns everything you know about customer surveys on its head. You ll discover how Ryan Levesque developedhis proven system for creating survey-based, customized sales funnels. And you ll also learn how YOU can implement the same system in your own business no matter your market. The"Ask Formula"blueprint is laid out in clear and detailed steps for anyone to use and adapt. Whether you re an aspiring Internet entrepreneur, advanced online marketer, or established business owner, this book will both"inspire"you and"show"you how to skyrocket your online income while creating a mass of raving fans in the process simply by asking the"right""questions"in a surprisingly different way. For people looking to scale up their business, "Ask"will utterly transform how you think about consumer behavior and selling online. For example, you ll learn: How to increase your income by 36% by asking potential customers this slightly unusual 4 word question. Why most businesses are doing surveys all wrong (and the one question you should NEVER be asking your prospects) And much, much more "