{"product_id":"leaders-and-innovators-isbn-9781119232575","title":"Leaders and Innovators","description":"\u003cb\u003eAn integrated, strategic approach to higher-value analytics\u003c\/b\u003e \u003cp\u003e\u003ci\u003eLeaders and Innovators: How Data-Driven Organizations Are Winning with Analytics\u003c\/i\u003e shows how businesses leverage enterprise analytics to gain strategic insights for profitability and growth. The key factor is integrated, end-to-end capabilities that encompass data management and analytics from a business and IT perspective; with analytics running inside a database where the data reside, everyday analytical processes become streamlined and more efficient. This book shows you what analytics is, what it can do, and how you can integrate old and new technologies to get more out of your data. Case studies and examples illustrate real-world scenarios in which an optimized analytics system revolutionized an organization's business. Using in-database and in-memory analytics along with Hadoop, you'll be equipped to improve performance while reducing processing time from days or weeks to hours or minutes. This more strategic approach uncovers the opportunities hidden in your data, and the detailed guidance to optimal data management allows you to break through even the biggest data challenges. \u003c\/p\u003e\u003cp\u003eWith data coming in from every angle in a constant stream, there has never been a greater need for proactive and agile strategies to overcome these struggles in a volatile and competitive economy. This book provides clear guidance and an integrated strategy for organizations seeking greater value from their data and becoming leaders and innovators in the industry. \u003c\/p\u003e\u003cul\u003e \u003cli\u003eStreamline analytics processes and daily tasks\u003c\/li\u003e \u003cli\u003eIntegrate traditional tools with new and modern technologies\u003c\/li\u003e \u003cli\u003eEvolve from tactical to strategic behavior\u003c\/li\u003e \u003cli\u003eExplore new analytics methods and applications\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eThe depth and breadth of analytics capabilities, technologies, and potential makes it a bottomless well of insight. But too many organizations falter at implementation—too much, not enough, or the right amount in the wrong way all fail to deliver what an optimized and integrated system could. \u003ci\u003eLeaders and Innovators: How Data-Driven Organizations Are Winning with Analytics\u003c\/i\u003e shows you how to create the system your organization needs to dramatically improve performance, increase profitability, and drive innovation at all levels for the present and future. \u003c\/p\u003e\u003cp\u003eForeword xi\u003c\/p\u003e \u003cp\u003eAcknowledgments xv\u003c\/p\u003e \u003cp\u003eAbout the Author xvii\u003c\/p\u003e \u003cp\u003eIntroduction xix\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 1 The Analytical Data Life Cycle 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eStage 1: Data Exploration 2\u003c\/p\u003e \u003cp\u003eStage 2: Data Preparation 3\u003c\/p\u003e \u003cp\u003eStage 3: Model Development 4\u003c\/p\u003e \u003cp\u003eStage 4: Model Deployment 6\u003c\/p\u003e \u003cp\u003eEnd-to-End Process 8\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 2 In-Database Processing 11\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eBackground 12\u003c\/p\u003e \u003cp\u003eTraditional Approach 13\u003c\/p\u003e \u003cp\u003eIn-Database Approach 15\u003c\/p\u003e \u003cp\u003eThe Need for In-Database Analytics 16\u003c\/p\u003e \u003cp\u003eSuccess Stories and Use Cases 18\u003c\/p\u003e \u003cp\u003eIn-Database Data Quality 35\u003c\/p\u003e \u003cp\u003eInvestment for In-Database Processing 44\u003c\/p\u003e \u003cp\u003eEndnotes 47\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 3 In-Memory Analytics 49\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eBackground 50\u003c\/p\u003e \u003cp\u003eTraditional Approach 51\u003c\/p\u003e \u003cp\u003eIn-Memory Analytics Approach 53\u003c\/p\u003e \u003cp\u003eThe Need for In-Memory Analytics 56\u003c\/p\u003e \u003cp\u003eSuccess Stories and Use Cases 65\u003c\/p\u003e \u003cp\u003eInvestment for In-Memory Analytics 80\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 4 Hadoop 83\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eBackground 84\u003c\/p\u003e \u003cp\u003eHadoop in the Big Data Environment 86\u003c\/p\u003e \u003cp\u003eUse Cases for Hadoop 87\u003c\/p\u003e \u003cp\u003eHadoop Architecture 89\u003c\/p\u003e \u003cp\u003eBest Practices 92\u003c\/p\u003e \u003cp\u003eBenefits of Hadoop 95\u003c\/p\u003e \u003cp\u003eUse Cases and Success Stories 97\u003c\/p\u003e \u003cp\u003eA Collection of Use Cases 103\u003c\/p\u003e \u003cp\u003eEndnote 105\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 5 Bringing It All Together 107\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eBackground 108\u003c\/p\u003e \u003cp\u003eCollaborative Data Architecture 109\u003c\/p\u003e \u003cp\u003eScenarios for the Collaborative Data Architecture 113\u003c\/p\u003e \u003cp\u003eHow In-Database, In-Memory, and Hadoop Are\u003c\/p\u003e \u003cp\u003eComplementary in a Collaborative Data Architecture 119\u003c\/p\u003e \u003cp\u003eUse Cases and Customer Success Stories 122\u003c\/p\u003e \u003cp\u003eInvestment and Costs 150\u003c\/p\u003e \u003cp\u003eEndnotes 151\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 6 Final Thoughts and Conclusion 153\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eFive Focus Areas 154\u003c\/p\u003e \u003cp\u003eCloud Computing 157\u003c\/p\u003e \u003cp\u003eSecurity: Cyber, Data Breach 168\u003c\/p\u003e \u003cp\u003eAutomating Prescriptive Analytics: IoT, Events, and Data Streams 179\u003c\/p\u003e \u003cp\u003eCognitive Analytics 188\u003c\/p\u003e \u003cp\u003eAnything as a Service (XaaS) 197\u003c\/p\u003e \u003cp\u003eConclusion 204\u003c\/p\u003e \u003cp\u003eAfterword 208\u003c\/p\u003e \u003cp\u003eIndex 210\u003c\/p\u003e \u003cp\u003e“Data management and analytics to beat your competitors; full of examples and case studies of big\u003c\/p\u003e \u003cp\u003edata wins” \u003cb\u003eThe Magpi, issue 60, Aug 2017\u003c\/b\u003e\u003c\/p\u003e   \u003cp\u003e\u003cb\u003eTHO H. NGUYEN\u003c\/b\u003e works closely with customers across industries, research and development, and business partners to drive and deliver value-added business solutions in analytics, data warehousing, and data management. Over his eighteen-year career, he has extensive experience applying his technical and business skillsets to strategy development, product management, global marketing, and business alliance management. Tho has held strategic leadership and management roles with emphasis on increasing performance, economics, and governance. In addition, Tho is an active speaker and blogger on analytics and data management.     \u003c\/p\u003e\u003cp\u003eFor businesses, data is a strategic asset and big data has gone from a revolutionary competitive advantage to a burdensome, uncontrollable necessity. Now, the organizations outpacing their competitors are the ones seamlessly integrating analytics into their workflow and decision making with state-of-the-art technology to deliver analytical-driven information. \u003ci\u003eLeaders and Innovators\u003c\/i\u003e takes you inside some of the best data-driven organizations today to reveal how they gain strategic insight into profitability and growth. \u003c\/p\u003e\u003cp\u003eEvery approach provided in this book has been developed, tested, and proven successful at an elite class of the biggest, most complex companies in the world. The author shares his firsthand look at how it happened and details tangible and intangible ways you can build any organization into a data-driven powerhouse. This everyday tool for the real world is conveniently organized to read cover to cover and serve as quick reference for specific topics because there is no single fix to solve complex data management and analytics challenges. Chances are, your organization needs several of these methodologies to enhance database performance, analytic capability, and data quality and integration, and this complete guide gives you the background and practical technologies you need to customize your solution. Keep this guide with you for its illustrative best practices for implementing specific architecture using a unique mix of traditional methods and new approaches that save time and money as well as increase performance, economics, and governance. This expert resource enables you to:  \u003c\/p\u003e\u003cul\u003e \u003cli\u003eOptimize analysis by evaluating data where it resides with in-database processing\u003c\/li\u003e \u003cli\u003eDeliver accelerated responses to complex analytical problems with cutting-edge in-memory analytics\u003c\/li\u003e \u003cli\u003eLeverage Hadoop, an open-source solution to complement your data  management architecture and extend the ability to store new data sources  for analytics\u003c\/li\u003e \u003cli\u003eDevelop a collaborative data architecture to integrate data management and analytic processes in a cohesive environment\u003c\/li\u003e \u003cli\u003eExplore the future trends of data management and analytics in an evolving landscape\u003c\/li\u003e \u003c\/ul\u003e  \u003cp\u003e\u003ci\u003eLeaders and Innovators: How Data-Driven Organizations Are Winning with Analytics\u003c\/i\u003e presents a best-in-class toolkit for organizations seeking more value from their data and the ability to transform that value into competitive advantage and bottom-line profits.     \u003c\/p\u003e\u003cp\u003e\u003cb\u003ePraise for LEADERS AND INNOVATORS\u003c\/b\u003e  \u003c\/p\u003e\u003cp\u003e\"\u003ci\u003eLeaders and Innovators: How Data-Driven Organizations Are Winning with Analytics\u003c\/i\u003e colors in the value of emerging big data solutions, offering examples of what success looks like at companies that have merged tried-and-true technologies with emerging big data solutions. A great introduction for and to the data-driven organization—and those that want to become one!\" \u003c\/p\u003e\u003cp\u003e\u003cb\u003e—Jill Dyché,\u003c\/b\u003e Vice President, SAS Best Practices and author of \u003ci\u003eThe New IT\u003c\/i\u003e  \u003c\/p\u003e\u003cp\u003e\"Tho Nguyen shares an impressive overview of the most important technologies that are driving the growth of analytics in every industry. With clear explanations, Tho demonstrates which investments in data capabilities are essential for any company to unlock the power of analytics in all aspects of its operations, finances, customer relationships—and ultimately the bottom line.\" \u003c\/p\u003e\u003cp\u003e\u003cb\u003e—Dan Magestro, PhD,\u003c\/b\u003e Research Director, International Institute for Analytics  \u003c\/p\u003e\u003cp\u003e\"Analytics is now empowering organizations worldwide to beat their competition. It is imperative that all companies create a data-driven infrastructure that enables operational and strategic decision making. Tho Nguyen takes us on an analytics journey that highlights how data is transformed into the information required to create relevant insights that will increase profitability and execution agility. \u003ci\u003eLeaders and Innovators\u003c\/i\u003e is a must read for any organization that is in the process of creating and deploying analytics to deliver data-driven decisions.\" \u003c\/p\u003e\u003cp\u003e\u003cb\u003e—Ron Powell,\u003c\/b\u003e Executive Director, Business Analytics Collaborative, and Founder, DM Review and the BeyeNETWORK\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47989514961125,"sku":"NP9781119232575","price":49.95,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9781119232575.jpg?v=1761784416","url":"https:\/\/k12savings.com\/es\/products\/leaders-and-innovators-isbn-9781119232575","provider":"K12savings","version":"1.0","type":"link"}