{"product_id":"leading-in-analytics-the-seven-critical-tasks-for-executives-to-master-in-the-age-of-big-data-hardback-9781119800415","title":"Leading in Analytics; The Seven Critical Tasks for Executives to Master in the Age of Big Data (Hardback) 9781119800415","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eLeading in Analytics\u003c\/font\u003e\u003cbr\u003e\r\n\u003cfont size=\"5\"\u003eThe Seven Critical Tasks for Executives to Master in the Age of Big Data\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003eJoseph A. Cazier (Author)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9781119800415, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 26 October 2023\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e320 pages\u003cbr\u003e25.6 x 18.3 x 3 cm, 0.658 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003cp\u003e\u003cb\u003eA step-by-step guide for business leaders who need to manage successful big data projects\u003c\/b\u003e \u003c\/p\u003e\n\u003cp\u003e\u003ci\u003eLeading in Analytics: The Critical Tasks for Executives to Master in the Age of Big Data \u003c\/i\u003etakes you through the entire process of guiding an analytics initiative from inception to execution. You’ll learn which aspects of the project to pay attention to, the right questions to ask, and how to keep the project team focused on its mission to produce relevant and valuable project. As an executive, you can’t control every aspect of the process. But if you focus on high-impact factors that you \u003ci\u003ecan \u003c\/i\u003econtrol, you can ensure an effective outcome. This book describes those factors and offers practical insight on how to get them right. \u003c\/p\u003e\n\u003cp\u003eDrawn from best-practice research in the field of analytics, the Manageable Tasks described in this book are specific to the goal of implementing big data tools at an enterprise level. A dream team of analytics and business experts have contributed their knowledge to show you how to choose the right business problem to address, put together the right team, gather the right data, select the right tools, and execute your strategic plan to produce an actionable result. Become an analytics-savvy executive with this valuable book. \u003c\/p\u003e\n\u003cul\u003e \u003cli\u003eEnsure the success of analytics initiatives, maximize ROI, and draw value from big data\u003c\/li\u003e \u003cli\u003eLearn to define success and failure in analytics and big data projects\u003c\/li\u003e \u003cli\u003eSet your organization up for analytics success by identifying problems that have big data solutions\u003c\/li\u003e \u003cli\u003eBring together the people, the tools, and the strategies that are right for the job\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eBy learning to pay attention to critical tasks in every analytics project, non-technical executives and strategic planners can guide their organizations to measurable results.\u003c\/p\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003eForeword by Dr. Tim Rahschulte xi\u003c\/p\u003e \u003cp\u003eAcknowledgments xv\u003c\/p\u003e \u003cp\u003e\u003cb\u003eIntroduction: The Last Analytics Mile 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eThe Last Mile to Analytics Success 1\u003c\/p\u003e \u003cp\u003eExpert Contributors 4\u003c\/p\u003e \u003cp\u003e\u003cb\u003eTask 0 Analytics Leadership 11\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eKnowledge Begins in Failure 12\u003c\/p\u003e \u003cp\u003eFrom Failure to Success 17\u003c\/p\u003e \u003cp\u003eThe Seven Tasks for Analytics Success 22\u003c\/p\u003e \u003cp\u003eChapter Summary and Exercises 24\u003c\/p\u003e \u003cp\u003e\u003cb\u003eTask 1 The Problem 27\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eSolve the Right Problem 28\u003c\/p\u003e \u003cp\u003eThe DAD Framework for Analytics Action 28\u003c\/p\u003e \u003cp\u003eFinding Valuable Problems to Solve 39\u003c\/p\u003e \u003cp\u003eThe Problem Statement 45\u003c\/p\u003e \u003cp\u003eChecking for Project Viability 50\u003c\/p\u003e \u003cp\u003ePrioritizing Viable Projects 52\u003c\/p\u003e \u003cp\u003eChapter Summary and Exercises 54\u003c\/p\u003e \u003cp\u003e\u003cb\u003eTask 2 The Team 61\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eBuilding a Winning Analytics Team 62\u003c\/p\u003e \u003cp\u003eBuilding and Managing Your Team 73\u003c\/p\u003e \u003cp\u003eManaging the Technical Team 81\u003c\/p\u003e \u003cp\u003eEngaging Your Team 86\u003c\/p\u003e \u003cp\u003eChapter Summary and Exercises 89\u003c\/p\u003e \u003cp\u003e\u003cb\u003eTask 3 The Data 91\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eAmorphous Asset 92\u003c\/p\u003e \u003cp\u003eUnderstanding Data’s Value 92\u003c\/p\u003e \u003cp\u003eIdentifying Valuable Data 97\u003c\/p\u003e \u003cp\u003eHarnessing Data’s Value 101\u003c\/p\u003e \u003cp\u003eA Few Vs to Enhance Value 107\u003c\/p\u003e \u003cp\u003eQuality Data 114\u003c\/p\u003e \u003cp\u003eChapter Summary and Exercises 121\u003c\/p\u003e \u003cp\u003e\u003cb\u003eTask 4 The Tools 125\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eAnalytics Mindset 126\u003c\/p\u003e \u003cp\u003eExecutives’ Role in Tools 127\u003c\/p\u003e \u003cp\u003eCategories of Analytics 131\u003c\/p\u003e \u003cp\u003ePredictive Analytics Tools 146\u003c\/p\u003e \u003cp\u003ePrescriptive Analytics Tools 151\u003c\/p\u003e \u003cp\u003eTool Synergies 155\u003c\/p\u003e \u003cp\u003eLimits of Analytics Tools 157\u003c\/p\u003e \u003cp\u003eChapter Summary and Exercises 158\u003c\/p\u003e \u003cp\u003e\u003cb\u003eTask 5 Execution 161\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eExecute = Action 162\u003c\/p\u003e \u003cp\u003eProcess 163\u003c\/p\u003e \u003cp\u003ePeople 177\u003c\/p\u003e \u003cp\u003eProblems 186\u003c\/p\u003e \u003cp\u003eChapter Summary and Exercises 189\u003c\/p\u003e \u003cp\u003e\u003cb\u003eTask 6 Analytics Maturity 191\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eDefining Analytics Maturity 192\u003c\/p\u003e \u003cp\u003eVisualizing Analytics Maturity 194\u003c\/p\u003e \u003cp\u003eGrowing Analytics Maturity 210\u003c\/p\u003e \u003cp\u003eTools for Maturity 218\u003c\/p\u003e \u003cp\u003eChapter Summary and Exercises 225\u003c\/p\u003e \u003cp\u003e\u003cb\u003eTask 7 Responsible Analytics 227\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eOur Analytics Responsibility 228\u003c\/p\u003e \u003cp\u003eAnalytics Discernment 229\u003c\/p\u003e \u003cp\u003eINFORMS Ethical Guidelines 232\u003c\/p\u003e \u003cp\u003eAnalytics for Good 241\u003c\/p\u003e \u003cp\u003eBeing Responsible for Our Analytics Future 248\u003c\/p\u003e \u003cp\u003eChapter Summary and Exercises 261\u003c\/p\u003e \u003cp\u003eConclusion: Crossing the Last Mile 265\u003c\/p\u003e \u003cp\u003eWe Must Cross It Together 265\u003c\/p\u003e \u003cp\u003eAdditional Learning Opportunities 268\u003c\/p\u003e \u003cp\u003eLasting Principles for Success 269\u003c\/p\u003e \u003cp\u003eAfterword: Dr. Karl Kempf’s Legacy 271\u003c\/p\u003e \u003cp\u003ePioneering Analytics with Formula One Racing 271\u003c\/p\u003e \u003cp\u003eTeaching Superman to Fly 273\u003c\/p\u003e \u003cp\u003eAutomating Aerospace Manufacturing 273\u003c\/p\u003e \u003cp\u003eMaking Better Decisions at Intel 273\u003c\/p\u003e \u003cp\u003eAuthor’s Tribute 274\u003c\/p\u003e \u003cp\u003eAbout the Author 275\u003c\/p\u003e \u003cp\u003eWhy Read Leading in Analytics 277\u003c\/p\u003e \u003cp\u003eAuthor Index 279\u003c\/p\u003e \u003cp\u003eSubject Index 283\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Mathematics [\u003ca title=\"See our other books on Mathematics\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Mathematics%20%5BPB%5D%22\"\u003ePB\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Wiley","offers":[{"title":"Brand 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