{"product_id":"mind-machine-isbn-9781119302919","title":"Mind+Machine","description":"\u003cp\u003e\u003cb\u003eCut through information overload to make better decisions faster\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eSuccess relies on making the correct decisions at the appropriate time, which is only possible if the decision maker has the necessary insights in a suitable format. \u003ci\u003eMind+Machine\u003c\/i\u003e is the guide to getting the right insights in the right format at the right time to the right person. Designed to show decision makers how to get the most out of every level of data analytics, this book explores the extraordinary potential to be found in a model where human ingenuity and skill are supported with cutting-edge tools, including automations.\u003c\/p\u003e \u003cp\u003eThe marriage of the perceptive power of the human brain with the benefits of automation is essential because mind or machine alone cannot handle the complexities of modern analytics. Only when the two come together with structure and purpose to solve a problem are goals achieved.\u003c\/p\u003e \u003cp\u003eWith various stakeholders in data analytics having their own take on what is important, it can be challenging for a business leader to create such a structure. This book provides a blueprint for decision makers, helping them ask the right questions, understand the answers, and ensure an approach to analytics that properly supports organizational growth.\u003c\/p\u003e \u003cp\u003eDiscover how to:\u003c\/p\u003e \u003cul\u003e \u003cli\u003eHarness the power of insightful minds and the speed of analytics technology\u003c\/li\u003e \u003cli\u003eUnderstand the demands and claims of various analytics stakeholders\u003c\/li\u003e \u003cli\u003eFocus on the right data and automate the right processes\u003c\/li\u003e \u003c\/ul\u003e ·         Navigate decisions with confidence in a fast-paced world \u003cp\u003eThe Mind+Machine model streamlines analytics workflows and refines the never-ending flood of incoming data into useful insights. Thus, \u003ci\u003eMind+Machine\u003c\/i\u003e equips you to take on the big decisions and win.\u003c\/p\u003e Preface xi \u003cp\u003eAcknowledgments xvii\u003c\/p\u003e \u003cp\u003eList of Use Cases xix\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart I: The Top 12 Fallacies about Mind+Machine 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eFallacy #1: Big Data Solves Everything 3\u003c\/p\u003e \u003cp\u003eFallacy #2: More Data Means More Insight 17\u003c\/p\u003e \u003cp\u003eFallacy #3: First, We Need a Data Lake and Tools 26\u003c\/p\u003e \u003cp\u003eFallacy #4: Analytics Is Just an Analytics Challenge: Part I: The Last Mile 31\u003c\/p\u003e \u003cp\u003eFallacy #5: Analytics Is Just an Analytics Challenge: Part II: The Organization 36\u003c\/p\u003e \u003cp\u003eFallacy #6: Reorganizations Won’t Hurt Analytics 40\u003c\/p\u003e \u003cp\u003eFallacy #7: Knowledge Management Is Easy—We Just Need Some Wikis 45\u003c\/p\u003e \u003cp\u003eFallacy #8: Intelligent Machines Can Solve Any Analytic Problem 49\u003c\/p\u003e \u003cp\u003eFallacy #9: Everything Must Be Done In-House! 61\u003c\/p\u003e \u003cp\u003eFallacy #10: We Need More, Larger, and Fancier Reports 66\u003c\/p\u003e \u003cp\u003eFallacy #11: Analytics Investment Means Great ROI 72\u003c\/p\u003e \u003cp\u003eFallacy #12: Analytics Is a Rational Process 78\u003c\/p\u003e \u003cp\u003ePart I: Conclusion 82\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart II: 13 Trends Creating Massive Opportunities for Mind+Machine 85\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eTrend #1: The Asteroid Impact of Cloud and Mobile 87\u003c\/p\u003e \u003cp\u003eTrend #2: The Yin and Yang of the Internet of Things 96\u003c\/p\u003e \u003cp\u003eTrend #3: One-to-One Marketing 105\u003c\/p\u003e \u003cp\u003eTrend #4: Regulatory Flooding of the Ring of Knowledge 111\u003c\/p\u003e \u003cp\u003eThe European Union and Privacy Rules: The General Data Protection Regulation and the EU–US Privacy Shield 114\u003c\/p\u003e \u003cp\u003eThe Teeth of the General Data Protection Regulation 115\u003c\/p\u003e \u003cp\u003ePrivacy Impacting the Ring of Knowledge 120\u003c\/p\u003e \u003cp\u003eThe Nine Questions You Need to Ask Your CIO Regarding Personal Data 121\u003c\/p\u003e \u003cp\u003eTrend #5: The Seismic Shift to Pay-as-You-Go or Output-Based Commercial Models 123\u003c\/p\u003e \u003cp\u003eTrend #6: The Hidden Treasures of Multiple-Client Utilities 133\u003c\/p\u003e \u003cp\u003eTrend #7: The Race for Data Assets, Alternative Data, and Smart Data 136\u003c\/p\u003e \u003cp\u003eTrend #8: Marketplaces and the Sharing Economy Finally Arriving in Data and Analytics 144\u003c\/p\u003e \u003cp\u003eTrend #9: Knowledge Management 2.0—Still an Elusive Vision? 147\u003c\/p\u003e \u003cp\u003eTrend #10: Workfl ow Platforms and Process Automation for Analytics Use Cases 156\u003c\/p\u003e \u003cp\u003eTrend #11: 2015–2025: The Rise of the Mind–Machine Interface 164\u003c\/p\u003e \u003cp\u003eTrend #12: Agile, Agile, Agile 172\u003c\/p\u003e \u003cp\u003eTrend #13: (Mind+Machine)2 = Global Partnering Equals More Than 1+1 177\u003c\/p\u003e \u003cp\u003eEra 1: Pure Geographic Cost Arbitrage (2000–2005) 178\u003c\/p\u003e \u003cp\u003eEra 2: Globalizing Outsourcing (2005–2015) 180\u003c\/p\u003e \u003cp\u003eEra 3: Process Reengineering (2007–2015) and Specialization 184\u003c\/p\u003e \u003cp\u003eEra 4: Hybrid On-Site, Near-Shore, and Far-Shore Outsourcing (2010–) 184\u003c\/p\u003e \u003cp\u003eEra 5: Mind+Machine in Outsourcing (2010–) 185\u003c\/p\u003e \u003cp\u003ePricing and Performance Benchmarks 190\u003c\/p\u003e \u003cp\u003eThe Future of Outsourcing in Knowledge-Intensive Processes 194\u003c\/p\u003e \u003cp\u003ePart II: Conclusion 196\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart III: How to Implement the Mind+Machine Approach 197\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eThe Analytics Use Case Methodology: A Change in Mind-Set 198\u003c\/p\u003e \u003cp\u003ePerspective #1: Focus on the Business Issue and the Client Benefits 207\u003c\/p\u003e \u003cp\u003ePerspective #2: Map Out the Ring of Knowledge 214\u003c\/p\u003e \u003cp\u003ePerspective #3: Choose Data Wisely Based on the Issue Tree 218\u003c\/p\u003e \u003cp\u003ePerspective #4: The Effi cient Frontier Where Machines Support Minds 226\u003c\/p\u003e \u003cp\u003ePerspective #5: The Right Mix of Minds Means a World of Good Options 232\u003c\/p\u003e \u003cp\u003ePerspective #6: The Right Workfl ow: Flexible Platforms Embedded in the Process 241\u003c\/p\u003e \u003cp\u003ePerspective #7: Serving the End Users Well: Figuring Out the Last Mile 245\u003c\/p\u003e \u003cp\u003ePerspective #8: The Right User Interaction: The Art of User Experience 250\u003c\/p\u003e \u003cp\u003ePerspective #9: Integrated Knowledge Management Means Speed and Savings 257\u003c\/p\u003e \u003cp\u003ePerspective #10: The Commercial Model: Pay-as-You-Go or Per-Unit Pricing 264\u003c\/p\u003e \u003cp\u003ePerspective #11: Intellectual Property: Knowledge Objects for Mind+Machine 266\u003c\/p\u003e \u003cp\u003ePerspective #12: Create an Audit Trail and Manage Risk 269\u003c\/p\u003e \u003cp\u003ePerspective #13: The Right Psychology: Getting the Minds to Work Together 271\u003c\/p\u003e \u003cp\u003ePerspective #14: The Governance of Use Case Portfolios: Control and ROI 274\u003c\/p\u003e \u003cp\u003ePerspective #15: Trading and Sharing Use Cases, Even across Company Boundaries 279\u003c\/p\u003e \u003cp\u003ePart III: Conclusion 281\u003c\/p\u003e \u003cp\u003eNotes 283\u003c\/p\u003e \u003cp\u003eAbout the Author 287\u003c\/p\u003e \u003cp\u003eIndex 289\u003c\/p\u003e   \u003cp\u003e\u003cb\u003eMARC VOLLENWEIDER\u003c\/b\u003e is co-founder and CEO of Evalueserve, an industry- influencing global research, analytics, and data management solutions provider known for its mind+machine™ process that combines a global network of expert analysts and best-in-class technology. The McKinsey \u0026amp; Co. alum has extensive consulting experience in such industries as telecommunications, banking, and pharmaceuticals.     \u003c\/p\u003e\u003cp\u003eBig data and artificial intelligence dominate business news coverage, but these are far from singular solutions to any business challenge. At the core of successful decision-making is human instinct driven by experience and information. \u003ci\u003eMind+Machine\u003c\/i\u003e is the groundbreaking guide to combining the optimally potent mix of human expertise and state-of-the-art digital machines to enhance a variety of business functions.  \u003c\/p\u003e\u003cp\u003eThis first-of-its-kind guidebook by industry disrupter Marc Vollenweider thoroughly covers the entire end-to-end value chain of analytics. The overabundance of information available today creates real problems for organizations basing competitive decisions on data, and this welcome program fully prepares you to effectively apply mind+machine™ to accomplish tasks aimed at enhancing productivity, time-to-market, quality, and pioneering new capabilities for organizations.  \u003c\/p\u003e\u003cp\u003eA-to-Z coverage takes you from contemporary definitions of an analytic use case all the way through applying analytics to pay-as-you-go commercial models, leveraging use case synergies, efficiently handling regulatory oversight, and managing individual use cases as well as portfolios of use cases. All the material and advice inside is focused on using analytics to make money and satisfy clients, which means following the framework leads to streamlined solutions requiring less money for IT, shorter development cycles, progressively user-friendly interfaces, and a solid basis for new and profitable use cases.  \u003c\/p\u003e\u003cp\u003eWhether you're developing sales pitches, research, data products, or any other information-based product or decision tool, the methodology inside accommodates all types of data and information, including qualitative and quantitative; financial, business, and operational; static and dynamic; big and small; and structured and unstructured. This dependable reference quickly fits into your everyday decision-making routine when you start to:  \u003c\/p\u003e\u003cul\u003e \u003cli\u003eMaximize ROI from use cases and avoid  the pitfalls associated with following the  most common industry misconceptions  about analytics\u003c\/li\u003e \u003cli\u003eSkillfully adopt all the latest trends influencing how use cases are conceived, designed, applied, and sustained over their lifecycle\u003c\/li\u003e \u003cli\u003eCommand a powerful methodology for  keeping your internal and external analytics  providers transparent and on track\u003c\/li\u003e \u003c\/ul\u003e  \u003cp\u003e\u003ci\u003eMind+Machine\u003c\/i\u003e gives you a tangible path to taking a competitive edge with applied analytics by effectively managing portfolios of profitable use cases with a focus on end-user benefits and accurately measured ROI.     \u003c\/p\u003e\u003cp\u003ePraise for \u003cb\u003emind+machine\u003c\/b\u003e  \u003c\/p\u003e\u003cp\u003e\u003ci\u003e\"Mind+Machine \u003c\/i\u003eis a thought-provoking exploration of data analytics as they stand now. Marc introduces and develops several game-changing concepts, like the Efficient Frontier, Ring of Knowledge, and Use Case Methodology, showing how to apply them for the best possible return on investment. These ideas should be the cornerstone of every organization's approach to data analytics. Written for the generalist with plenty of real-world examples, it's a fascinating read that I couldn't put down.\"\u003cbr\u003e \u003cb\u003e—Stefan Arn,\u003c\/b\u003e Global Head of Technology for UBS Wealth Management and UBS Switzerland and Group IT Head for Strategic Regulatory Initiatives  \u003c\/p\u003e\u003cp\u003e\u003ci\u003e\"Mind+Machine\u003c\/i\u003e provides a much needed antidote for the business leader looking for actionable business insights in a world of information and technology overload. Based on his credentials as adviser to many of the world's top banks, corporations, and professional services firms, as well founder of two industry-disrupting businesses, Marc has a unique perspective on how to combine human expertise with technology to deliver high ROI business results. He simplifies a complex subject, and his approach is supported by over 40 accessible and insightful case studies. A compelling and accessible guide for decision makers and business leaders seeking sustainable competitive advantage in their markets.\"\u003cbr\u003e \u003cb\u003e—Mark Bidwell,\u003c\/b\u003e founder of The Innovation Ecosystem, chairman of BC Platforms and director at Terramera  \u003c\/p\u003e\u003cp\u003e\"A very interesting read. It demystifies data analytics with lots of real-world examples on use-cases, best practices and insights from industry. It also offers refreshing business angles of examining the value of analytics in terms of ROI and 'so-what'. Though it is targeted at top managers and decision makers, I find it to be a good read for technical staff, researchers and data analysts. I will use it as part of my research into big data and social media analytics.\"\u003cbr\u003e \u003cb\u003e—Professor Tat-Seng Chua,\u003c\/b\u003e KITHCT Chair Professor at the School of Computing,  National University of Singapore\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47989628305637,"sku":"NP9781119302919","price":28.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9781119302919.jpg?v=1761784872","url":"https:\/\/k12savings.com\/products\/mind-machine-isbn-9781119302919","provider":"K12savings","version":"1.0","type":"link"}