{"product_id":"data-fluency-isbn-9781118851012","title":"Data Fluency","description":"\u003cb\u003eA dream come true for those looking to improve their data fluency\u003c\/b\u003e  \u003cp\u003eAnalytical data is a powerful tool for growing companies, but what good is it if it hides in the shadows? Bring your data to the forefront with effective visualization and communication approaches, and let \u003ci\u003eData Fluency: Empowering Your Organization with Effective Communication \u003c\/i\u003eshow you the best tools and strategies for getting the job done right. Learn the best practices of data presentation and the ways that reporting and dashboards can help organizations effectively gauge performance, identify areas for improvement, and communicate results.\u003c\/p\u003e \u003cp\u003eTopics covered in the book include data reporting and communication, audience and user needs, data presentation tools, layout and styling, and common design failures. Those responsible for analytics, reporting, or BI implementation will find a refreshing take on data and visualization in this resource, as will report, data visualization, and dashboard designers.\u003c\/p\u003e \u003cul\u003e \u003cli\u003eConquer the challenge of making valuable data approachable and easy to understand\u003c\/li\u003e \u003cli\u003eDevelop unique skills required to shape data to the needs of different audiences\u003c\/li\u003e \u003cli\u003eFull color book links to bonus content at juiceanalytics.com\u003c\/li\u003e \u003cli\u003eWritten by well-known and highly esteemed authors in the data presentation community\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003ci\u003eData Fluency: Empowering Your Organization with Effective Communication\u003c\/i\u003e focuses on user experience, making reports approachable, and presenting data in a compelling, inspiring way. The book helps to dissolve the disconnect between your data and those who might use it and can help make an impact on the people who are most affected by data. Use \u003ci\u003eData Fluency\u003c\/i\u003e today to develop the skills necessary to turn data into effective displays for decision-making.\u003c\/p\u003e \u003cp\u003eForeword xix\u003c\/p\u003e \u003cp\u003eIntroduction xxi\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 1 The Last Mile Problem 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eThe Information Age: Driving the Need for Data Fluency 2\u003c\/p\u003e \u003cp\u003eData Fluency: Unlock the Potential Energy of Data in Your Organization 4\u003c\/p\u003e \u003cp\u003eBig Data and Data Metaphors 5\u003c\/p\u003e \u003cp\u003eOur Data Fluency Framework 7\u003c\/p\u003e \u003cp\u003eCase Studies: A Window into the Framework for Data Fluency 8\u003c\/p\u003e \u003cp\u003eData Consumers: Fantasy Football 8\u003c\/p\u003e \u003cp\u003eProducers of Data Products: U S News 11\u003c\/p\u003e \u003cp\u003eOrganizational-Level Consumers: School District Woes 13\u003c\/p\u003e \u003cp\u003eOrganizational-Level Producers: Insurance Company Bottom Lines 15\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 2 The Data Fluency Framework 19\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eThe Data Fluency Framework 21\u003c\/p\u003e \u003cp\u003eIndividuals and the Organization 22\u003c\/p\u003e \u003cp\u003eUsing Data versus Presenting Data 23\u003c\/p\u003e \u003cp\u003eElement 1: Data Literate Consumers 23\u003c\/p\u003e \u003cp\u003eElement 2: Data Fluent Producers 24\u003c\/p\u003e \u003cp\u003eElement 3: The Data Fluent Culture 26\u003c\/p\u003e \u003cp\u003eElement 4: The Data Product Ecosystem 27\u003c\/p\u003e \u003cp\u003eConnective Tissue 28\u003c\/p\u003e \u003cp\u003eResources for More Depth 28\u003c\/p\u003e \u003cp\u003eBenefits of the Data Fluent Organization 29\u003c\/p\u003e \u003cp\u003eHow to Use This Framework 30\u003c\/p\u003e \u003cp\u003eHow Organizations Struggle 31\u003c\/p\u003e \u003cp\u003eSummary 32\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 3 How Organizations Struggle with Data Fluency 33\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003ePitfalls on the Path to Data Fluency 35\u003c\/p\u003e \u003cp\u003eReport Proliferation 35\u003c\/p\u003e \u003cp\u003eBalkanized Data 36\u003c\/p\u003e \u003cp\u003eData Elitism 38\u003c\/p\u003e \u003cp\u003eThe Supermodel 39\u003c\/p\u003e \u003cp\u003eSearching for Understanding 40\u003c\/p\u003e \u003cp\u003eData Care 42\u003c\/p\u003e \u003cp\u003eMetric Fixation 43\u003c\/p\u003e \u003cp\u003eFinding Balance 45\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 4 A Consumer’s Guide to Understanding Data 47\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eData Products 49\u003c\/p\u003e \u003cp\u003eEveryday Data Products 51\u003c\/p\u003e \u003cp\u003eBarriers to Using Data Products 55\u003c\/p\u003e \u003cp\u003eJargon 55\u003c\/p\u003e \u003cp\u003eNot Knowing Where to Start or What to Focus On 57\u003c\/p\u003e \u003cp\u003eInconsistency 58\u003c\/p\u003e \u003cp\u003eLearning the Language of Data 60\u003c\/p\u003e \u003cp\u003eAtomic Data 60\u003c\/p\u003e \u003cp\u003eSummarized Data 61\u003c\/p\u003e \u003cp\u003eExploring Data Tables 63\u003c\/p\u003e \u003cp\u003eRows Tell Stories 63\u003c\/p\u003e \u003cp\u003eColumns Give the Bigger Picture 64\u003c\/p\u003e \u003cp\u003eUnderstanding Charts and Visualizations 64\u003c\/p\u003e \u003cp\u003eComprehensibility 65\u003c\/p\u003e \u003cp\u003eDissecting Data Products 66\u003c\/p\u003e \u003cp\u003eWhere Does It Come From? 67\u003c\/p\u003e \u003cp\u003eWhat Can I Learn from It? 68\u003c\/p\u003e \u003cp\u003eWhat Can You Do with It? 74\u003c\/p\u003e \u003cp\u003eWrapping Up 77\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 5 Data Authors: Skilled Designers of Data Presentations 79\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eA Rare Skillset 80\u003c\/p\u003e \u003cp\u003eWhat You’ll Learn 81\u003c\/p\u003e \u003cp\u003eGuided Conversations 82\u003c\/p\u003e \u003cp\u003eFinding Your Purpose and Message 84\u003c\/p\u003e \u003cp\u003eLet the Data Speak 85\u003c\/p\u003e \u003cp\u003eYour Objectives 85\u003c\/p\u003e \u003cp\u003eYour Audience 86\u003c\/p\u003e \u003cp\u003eInformation Discrimination 88\u003c\/p\u003e \u003cp\u003eDefining Meaningful and Actionable Metrics 92\u003c\/p\u003e \u003cp\u003eCreating Structure and Flow to Your Data Products 95\u003c\/p\u003e \u003cp\u003eA Guided Path: Structure and Flow 95\u003c\/p\u003e \u003cp\u003eWhy Structure Matters? 97\u003c\/p\u003e \u003cp\u003eStructure Options 97\u003c\/p\u003e \u003cp\u003eDesigning Attractive, Easy-to-Understand Data Products 103\u003c\/p\u003e \u003cp\u003eForm 103\u003c\/p\u003e \u003cp\u003eVisualizing Your Data 104\u003c\/p\u003e \u003cp\u003eColor 107\u003c\/p\u003e \u003cp\u003eTypography 109\u003c\/p\u003e \u003cp\u003eWrapping Data in Context 111\u003c\/p\u003e \u003cp\u003eLanguage 112\u003c\/p\u003e \u003cp\u003eCreating Dialogue with Your Data Products 114\u003c\/p\u003e \u003cp\u003eYour Audience’s Audience 114\u003c\/p\u003e \u003cp\u003eData Leading to Dialogue 114\u003c\/p\u003e \u003cp\u003eDesign Principles 115\u003c\/p\u003e \u003cp\u003eVisualizations 115\u003c\/p\u003e \u003cp\u003eDesign Principles for Data Products 121\u003c\/p\u003e \u003cp\u003eCompactness and Modularity 121\u003c\/p\u003e \u003cp\u003eGradual Reveal 121\u003c\/p\u003e \u003cp\u003eGuide Attention 122\u003c\/p\u003e \u003cp\u003eSupport Casual Use 122\u003c\/p\u003e \u003cp\u003eLead to Action 123\u003c\/p\u003e \u003cp\u003eCustomizable 124\u003c\/p\u003e \u003cp\u003eExplanation before Information 124\u003c\/p\u003e \u003cp\u003eViva the Authors of Data Products 125\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 6 The Data Fluent Culture 127\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eLeadership, Culture, and Communicating Priorities 129\u003c\/p\u003e \u003cp\u003eSet and Communicate Expectations 130\u003c\/p\u003e \u003cp\u003eArticulate Specific, Measureable Indicators 131\u003c\/p\u003e \u003cp\u003eCelebrate Effective Data Use and Products 132\u003c\/p\u003e \u003cp\u003eUse Data to Inform Decisions and Actions 133\u003c\/p\u003e \u003cp\u003eEstablishing Key Metrics to Rally Around 134\u003c\/p\u003e \u003cp\u003eWhat Makes a Good Metric? 134\u003c\/p\u003e \u003cp\u003eUsing Metrics to Drive Organizational Improvement 137\u003c\/p\u003e \u003cp\u003eChoose a Few Key Metrics at Any Given Level 138\u003c\/p\u003e \u003cp\u003eSelect Key Metrics That Align with the Mission and Vision 138\u003c\/p\u003e \u003cp\u003eShow Employees That Their Contributions Are Essential 138\u003c\/p\u003e \u003cp\u003eReference Key Metrics and Data Analysis When Communicating Goals 139\u003c\/p\u003e \u003cp\u003eAvoiding Metrics Pitfalls 139\u003c\/p\u003e \u003cp\u003eShared Understandings 141\u003c\/p\u003e \u003cp\u003eCommon Vocabulary and Terminology Relating to Organization-Specific Data 143\u003c\/p\u003e \u003cp\u003eClear Definitions of Measures 143\u003c\/p\u003e \u003cp\u003eStandard Forms for Collecting Data 143\u003c\/p\u003e \u003cp\u003eUnderstanding and Appreciating Credible, Reliable Data Sources 145\u003c\/p\u003e \u003cp\u003eUnderstand the Strengths and Weaknesses of Data Sources 145\u003c\/p\u003e \u003cp\u003eProvide Transparency into How Data Is Manipulated and Modeled 147\u003c\/p\u003e \u003cp\u003eDefine a Shared Set of Key Metrics 148\u003c\/p\u003e \u003cp\u003eUnderstanding the Purpose and Motivation for Data Products 149\u003c\/p\u003e \u003cp\u003eEveryday Activities 151\u003c\/p\u003e \u003cp\u003eData Consumers 152\u003c\/p\u003e \u003cp\u003eHelp Individuals Evaluate Data without Distraction 152\u003c\/p\u003e \u003cp\u003eFocus on the Message 153\u003c\/p\u003e \u003cp\u003eData Products 153\u003c\/p\u003e \u003cp\u003eEstablish Clear Guidelines for Quality Data Products 153\u003c\/p\u003e \u003cp\u003eDevelop a Feedback Mechanism for Data Products to Help Evolve and Improve Content 155\u003c\/p\u003e \u003cp\u003eCelebrate Examples of Quality Data Products 156\u003c\/p\u003e \u003cp\u003eData Usage 156\u003c\/p\u003e \u003cp\u003eEncourage Data-Driven Decision-Making 157\u003c\/p\u003e \u003cp\u003eEvaluating Effective Data Use within the Organization 157\u003c\/p\u003e \u003cp\u003eEvolution of Data Fluent Cultures 158\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 7 The Data Product Ecosystem 161\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eData Products for Information Delivery 162\u003c\/p\u003e \u003cp\u003eNecessary Conditions 163\u003c\/p\u003e \u003cp\u003eLearning from the App Store 165\u003c\/p\u003e \u003cp\u003eDemand 167\u003c\/p\u003e \u003cp\u003eTop-Down Demand Map 167\u003c\/p\u003e \u003cp\u003eGrassroots Needs 169\u003c\/p\u003e \u003cp\u003eWhere to Begin 169\u003c\/p\u003e \u003cp\u003eDesign 170\u003c\/p\u003e \u003cp\u003eObjective 170\u003c\/p\u003e \u003cp\u003eStart with a Style Guide 172\u003c\/p\u003e \u003cp\u003eDevelop 172\u003c\/p\u003e \u003cp\u003e“It’s a Poor Craftsman Who Blames His Tools” 174\u003c\/p\u003e \u003cp\u003eDiscover 175\u003c\/p\u003e \u003cp\u003eObjective 176\u003c\/p\u003e \u003cp\u003eWhere to Begin: A Centralized Inventory of Data Products 176\u003c\/p\u003e \u003cp\u003eDiscuss 177\u003c\/p\u003e \u003cp\u003eObjective 177\u003c\/p\u003e \u003cp\u003eWhere to Begin: Create a Place to Capture Insights 178\u003c\/p\u003e \u003cp\u003eDistill 179\u003c\/p\u003e \u003cp\u003eLearning from Wikipedia 179\u003c\/p\u003e \u003cp\u003eObjective 180\u003c\/p\u003e \u003cp\u003eWhat Can You Do Without? 180\u003c\/p\u003e \u003cp\u003e“Only Connect” 181\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 8 The Journey to Data Fluency 183\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eWhy Data Fluency? 185\u003c\/p\u003e \u003cp\u003eData Consumers: Creating a Sophisticated Audience 187\u003c\/p\u003e \u003cp\u003eData Product Producers: The Skills to Enable Effective Data Communication 188\u003c\/p\u003e \u003cp\u003eData Fluent Culture: Building a Shared Understanding of Data 189\u003c\/p\u003e \u003cp\u003eData Product Ecosystem: Tools and Processes to Facilitate the Fluid Exchange of Information 189\u003c\/p\u003e \u003cp\u003eBegin the Journey 190\u003c\/p\u003e \u003cp\u003e\u003cb\u003eFeature The Data Fluency Inventory 193\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eThe Data Fluency Inventory Survey Questions 194\u003c\/p\u003e \u003cp\u003eComponent 1: Data Consumer Literacy 196\u003c\/p\u003e \u003cp\u003eUse of Data 197\u003c\/p\u003e \u003cp\u003eData Skills 198\u003c\/p\u003e \u003cp\u003eValue Placed on Data 199\u003c\/p\u003e \u003cp\u003eComponent 2: Data Product Author Skills 200\u003c\/p\u003e \u003cp\u003eTools 201\u003c\/p\u003e \u003cp\u003eSkills 202\u003c\/p\u003e \u003cp\u003ePerceptions and Attitudes 203\u003c\/p\u003e \u003cp\u003eComponent 3: Data Fluent Culture 204\u003c\/p\u003e \u003cp\u003eLeadership 205\u003c\/p\u003e \u003cp\u003eKey Metrics 205\u003c\/p\u003e \u003cp\u003eShared Understanding and Everyday Data Use 206\u003c\/p\u003e \u003cp\u003eComponent 4: Data Product Ecosystem 207\u003c\/p\u003e \u003cp\u003eDemand and Design 208\u003c\/p\u003e \u003cp\u003eDevelop 208\u003c\/p\u003e \u003cp\u003eDiscover 209\u003c\/p\u003e \u003cp\u003eDiscuss and Distill 209\u003c\/p\u003e \u003cp\u003eSummary of the DFI 210\u003c\/p\u003e \u003cp\u003eDFI Scoring Guide (for Organizations) 210\u003c\/p\u003e \u003cp\u003eQuestion Types and Point Values 211\u003c\/p\u003e \u003cp\u003eOrganization Scores 211\u003c\/p\u003e \u003cp\u003eComponent 1: Data Consumer Literacy 211\u003c\/p\u003e \u003cp\u003eThoughts for an Organizational Leader 212\u003c\/p\u003e \u003cp\u003eComponent 2: Data Product Authors 212\u003c\/p\u003e \u003cp\u003eThoughts for an Organizational Leader 213\u003c\/p\u003e \u003cp\u003eComponent 3: Data Fluent Culture 213\u003c\/p\u003e \u003cp\u003eThoughts for an Organizational Leader 214\u003c\/p\u003e \u003cp\u003eComponent 4: Data Product Ecosystem 214\u003c\/p\u003e \u003cp\u003eThoughts for an Organizational Leader 214\u003c\/p\u003e \u003cp\u003eOrganizational Scoring Summary 215\u003c\/p\u003e \u003cp\u003eScoring Guide (for Individuals) 215\u003c\/p\u003e \u003cp\u003eWhat Can You Measure as an Individual? 216\u003c\/p\u003e \u003cp\u003eComponent 1: Data Consumer (Individual Only) 216\u003c\/p\u003e \u003cp\u003eComponent 2: Data Authors (Individual Only) 217\u003c\/p\u003e \u003cp\u003eIndividual Scoring Guide Summary 217\u003c\/p\u003e \u003cp\u003eDFI Supporting Materials 218\u003c\/p\u003e \u003cp\u003eSurvey Introduction E-mail 218\u003c\/p\u003e \u003cp\u003eData Literacy Quiz 219\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAppendix A Designing Data Products 223\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eA Checklist for Creating Data Products 224\u003c\/p\u003e \u003cp\u003eThink Like a Designer 226\u003c\/p\u003e \u003cp\u003eDesigned to Be Used 228\u003c\/p\u003e \u003cp\u003eBreaking Free of the One-Page Dashboard Rule 229\u003c\/p\u003e \u003cp\u003eDashboard Alerts Checklist 231\u003c\/p\u003e \u003cp\u003eContext: Users Need to Understand How an Alert Is Defined and How It Fits into the Larger Picture 232\u003c\/p\u003e \u003cp\u003eCogency: An Alerting System Needs to Avoid Causing Unnecessary Alarm While Delivering Easy-to- Understand Information That Can Be Acted Upon 232\u003c\/p\u003e \u003cp\u003eCommunication: Alerts Must Be Designed to Effectively Capture Attention and Inform 233\u003c\/p\u003e \u003cp\u003eControl: Advanced Alert System Should Give Users the Ability to Customize and Manage Alerts 233\u003c\/p\u003e \u003cp\u003e8 Features of Successful Real-time Dashboards 234\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAppendix B Style Guide 237\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eStyle Guide Sample 1: Fonts 239\u003c\/p\u003e \u003cp\u003eStyle Guide Sample 2: Colors 240\u003c\/p\u003e \u003cp\u003eStyle Guide Sample 3: Date\/Number Formatting 241\u003c\/p\u003e \u003cp\u003eStyle Guide Sample 4: Bar Charts 242\u003c\/p\u003e \u003cp\u003eStyle Guide Sample 5: Trend Charts 243\u003c\/p\u003e \u003cp\u003eStyle Guide Sample 6: Tables 244\u003c\/p\u003e \u003cp\u003eIndex 245\u003c\/p\u003e   \u003cp\u003e\u003cb\u003eZach Gemignani\u003c\/b\u003e is co-founder and CEO of Juice Analytics. He works with companies with companies to build analytics-savvy organizations and develop analytical tools that focus on getting the human elements right. \u003cb\u003eChris Gemignani\u003c\/b\u003e is also co-founder of Juice Analytics and previously Chris was a VP analyst at Citibank and PNC bank. \u003cb\u003eDr. Richard Galentino\u003c\/b\u003e is CEO of Stratable, Inc., a strategic planning and organizational development consulting firm. \u003cb\u003eDr. Patrick Schuermann\u003c\/b\u003e is a Harvard International Education Policy Fellow. \u003cb\u003eNathan Yau\u003c\/b\u003e (Consulting Editor) has a PhD in statistics and is a statistical consultant helping clients make use of their data through visualization. Nathan is the author of the best-selling visualization books, \u003ci\u003eVisualize This\u003c\/i\u003e and \u003ci\u003eData Points\u003c\/i\u003e.        \u003c\/p\u003e\u003cp\u003e\u003cb\u003ePOWERFUL DATA THAT GETS RESULTS\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003eThere is a colossal disconnect between the volumes of data collected by organizations and the people who might make use of it. This gap can be bridged by creating focused and thoughtful data presentation tools, including reports, dashboards, visualizations, or key metrics. Together, these tools and capabilities lead to data fluency, the ability to use the language of data to exchange and explore ideas within your organization. \u003c\/p\u003e\u003cul\u003e \u003cli\u003e\u003cb\u003eConquer the different challenges organizations face with data reporting and communication\u003c\/b\u003e\u003c\/li\u003e \u003cli\u003e\u003cb\u003eFind a fit between audience needs and the right data presentations\u003c\/b\u003e\u003c\/li\u003e \u003cli\u003e\u003cb\u003eDesign effective data presentations and tools, including choices in visualizations, layout, and styling\u003c\/b\u003e\u003c\/li\u003e \u003cli\u003e\u003cb\u003eShape the culture of your organization to encourage the use of data in daily activities\u003c\/b\u003e\u003c\/li\u003e \u003cli\u003e\u003cb\u003eBuild an ecosystem where quality data presentation solutions can reach their audiences with geometry, traditional charts, maps, color, art, and even humor\u003c\/b\u003e\u003c\/li\u003e \u003c\/ul\u003e  \u003cp\u003e\u003cb\u003eLearn more by visiting the companion website at www.juiceanalytics.com\/data-fluency\u003c\/b\u003e\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47989024358629,"sku":"NP9781118851012","price":42.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9781118851012.jpg?v=1761782483","url":"https:\/\/k12savings.com\/es\/products\/data-fluency-isbn-9781118851012","provider":"K12savings","version":"1.0","type":"link"}