Includes vital coverage of how to avoid common pitfalls when first introducing Data Science to the enterprise.
The need for precise, actionable, reliable, real-time Business Intelligence (BI) lies at the heart of the role of Big Data in modern commerce. In turn, the art of “Data Science” lies at the nexus of Big Data and BI, providing the essential methods by which BI can be extracted from…
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Author : Lars Nielsen
Genre : Computers
Summary : The need for precise, actionable, real-time Business Intelligence (BI) lies at the heart of the role of Big Data in modern commerce. In turn, the art of "Data Science" lies at the nexus of Big Data and BI, providing the essential methods by which BI can be extracted from Big Data's great black mass of constantly flowing, unstructured information. This combination has a created a new profession: an elite and specialized class of highly-compensated professionals specially skilled at data cleaning, analysis, and visualization. We call them Data Scientists, and their evolving role in the organization is one about which managers must have a clear understanding. As shown in WHAT EVERY MANAGER SHOULD KNOW ABOUT BIG DATA AND DATA SCIENCE, integrating data scientists (and the general practice of Data Science) with the organization is often a delicate process involving the redefinition of traditional roles within the enterprise as well as dealing with issues of territoriality amongst peers. To accomplish this task, managers need a firm knowledge of the what and whys of Data Science, the specific BI needs it is uniquely positioned to service, and the processes by which it functions. Such is the knowledge this important book provides. CONTENTS: Preface The Vital Triangle What Is Big Data? Creativity and Intuition Making Something Out of Nothing Introducing Data Science to the Enterprise Avoiding Friction Between Old & New: Dealing with the TCQ Triangle The Evolving Role of the Data Scientist Data Science Ethics and Privacy Concerns The Art of Seeing Things Data Management Artificial Intelligence, Machine-Learning, and Deep-Learning in Data Science Data Curation and the Tribal Knowledge Problem Data Cleaning Data Modeling for Unstructured Data Predictive Analysis A Bit More On Data Visualization Cassandra Hadoop Orchestrating Change in the Workplace
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Author : Atal Malviya
Genre : Business & Economics
Summary : In today’s fast growing digital world, the web, mobile, social networks and other digital platforms are producing enormous amounts of data that hold intelligence and valuable information. Correctly used it has the power to create sustainable value in different forms for businesses. The commonly used term for this data is Big Data, which includes structured, unstructured and hybrid structured data. However, Big Data is of limited value unless insightful information can be extracted from the sources of data. The solution is Big Data analytics, and how managers and executives can capture value from this vast resource of information and insights. This book develops a simple framework and a non-technical approach to help the reader understand, digest and analyze data, and produce meaningful analytics to make informed decisions. It will support value creation within businesses, from customer care to product innovation, from sales and marketing to operational performance. The authors provide multiple case studies on global industries and business units, chapter summaries and discussion questions for the reader to consider and explore. Big Data for Managers also presents small cases and challenges for the reader to work on – making this a thorough and practical guide for students and managers.
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Author : David Feinleib
Genre : Business & Economics
Summary : Investors and technology gurus have called big data one of the most important trends to come along in decades. Big Data Bootcamp explains what big data is and how you can use it in your company to become one of tomorrow’s market leaders. Along the way, it explains the very latest technologies, companies, and advancements. Big data holds the keys to delivering better customer service, offering more attractive products, and unlocking innovation. That’s why, to remain competitive, every organization should become a big data company. It’s also why every manager and technology professional should become knowledgeable about big data and how it is transforming not just their own industries but the global economy. And that knowledge is just what this book delivers. It explains components of big data like Hadoop and NoSQL databases; how big data is compiled, queried, and analyzed; how to create a big data application; and the business sectors ripe for big data-inspired products and services like retail, healthcare, finance, and education. Best of all, your guide is David Feinleib, renowned entrepreneur, venture capitalist, and author of Why Startups Fail. Feinleib’s Big Data Landscape, a market map featured and explained in the book, is an industry benchmark that has been viewed more than 150,000 times and is used as a reference by VMWare, Dell, Intel, the U.S. Government Accountability Office, and many other organizations. Feinleib also explains: • Why every businessperson needs to understand the fundamentals of big data or get run over by those who do • How big data differs from traditional database management systems • How to create and run a big data project • The technical details powering the big data revolution Whether you’re a Fortune 500 executive or the proprietor of a restaurant or web design studio, Big Data Bootcamp will explain how you can take full advantage of new technologies to transform your company and your career.
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Author : Jim Anderson
Genre :
Summary : The job of an IT manager is constantly changing. The technologies that we used to use are now gone. The technologies that we use today will eventually go away. This means that we need to make sure that we are constantly aware of what new technologies are coming our way and what our teams will be able to do with them. What You'll Find Inside: BIG DATA REQUIRES IT MANAGERS TO THINK ABOUT BIG DATABASES 3 QUESTIONS THAT EVERY IT MANAGER SHOULD BE ASKING ABOUT CLOUDS WHY IT MANAGERS CAN'T BELIEVE ALL THAT THEY READ ABOUT SECURITY BREECHES WHAT EVERY IT MANAGER NEEDS TO KNOW ABOUT THE HADOOP DATABASE SOLUTION The arrival of big data has turned the world of IT upside down. As our companies struggle to decide how they are going to make use of this new type of technology, we as IT managers need to make sure that we understand what types of databases we can use to handle all of this data. The way that we build the networks that our teams and our company use has been forever changed by the arrival of cloud computing. This means that we need to take the time to make sure that we understand what this means for us as well as any new security risks that comes along with it. The new technologies that we'll be using in just a few years take on a number of different forms. It could be the analytics that we'll all be using to process that big data or perhaps it will be the haddoop database that we may end up implementing to store all of that data. We need to keep in mind that storing data is one thing, backing it up may be something completely different. All databases are not created the same. The arrival of NOSQL technology has made the choice of what database to use that much more difficult. One thing that we can do to try to make good decisions is to take a look at what other firms, perhaps in healthcare, have done and learn from their mistakes.
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Author : Michael Watson
Genre : Business & Economics
Summary : The field of analytics is rapidly evolving, making it difficult for professionals and students to keep up the most current and effective applications. Managerial Analytics will help readers sort through all these new options and identify the appropriate solution. In this reference, authors Watson, Nelson and Cacioppi accurately define and identify the components of analytics and big data, giving readers the knowledge needed to effectively assess new aspects and applications. Building on this foundation, they review tools and solutions, identify the offerings best aligned to one's requirements, and show how to tailor analytics applications to an organization's specific needs. Drawing on extensive experience implementing, planning, and researching advanced analytics for business, the authors clearly explain all this, and more: What analytics is and isn't: great examples of successful usage – and other examples where the term is being degraded into meaninglessness The difference between using analytics and “competing on analytics” How to get started with big data, by analyzing the most relevant data Components of analytics systems, from databases and Excel to BI systems and beyond Anticipating and overcoming “confirmation bias” and other pitfalls Understanding predictive analytics and getting the high-quality random samples necessary Applying game theory, Efficient Frontier, benchmarking, and revenue management models Implementing optimization at the small and large scale, and using it to make “automatic decisions”
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Author : Kim H. Pries
Genre : Computers
Summary : With this book, managers and decision makers are given the tools to make more informed decisions about big data purchasing initiatives. Big Data Analytics: A Practical Guide for Managers not only supplies descriptions of common tools, but also surveys the various products and vendors that supply the big data market.Comparing and contrasting the dif
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Author : Jim Anderson
Genre :
Summary : The job of an IT manager is constantly changing. The technologies that we used to use are now gone. The technologies that we use today will eventually go away. This means that we need to make sure that we are constantly aware of what new technologies are coming our way and what our teams will be able to do with them. What You'll Find Inside: BIG DATA REQUIRES IT MANAGERS TO THINK ABOUT BIG DATABASES 3 QUESTIONS THAT EVERY IT MANAGER SHOULD BE ASKING ABOUT CLOUDS WHY IT MANAGERS CAN'T BELIEVE ALL THAT THEY READ ABOUT SECURITY BREECHES WHAT EVERY IT MANAGER NEEDS TO KNOW ABOUT THE HADOOP DATABASE SOLUTION The arrival of big data has turned the world of IT upside down. As our companies struggle to decide how they are going to make use of this new type of technology, we as IT managers need to make sure that we understand what types of databases we can use to handle all of this data. The way that we build the networks that our teams and our company use has been forever changed by the arrival of cloud computing. This means that we need to take the time to make sure that we understand what this means for us as well as any new security risks that comes along with it. The new technologies that we'll be using in just a few years take on a number of different forms. It could be the analytics that we'll all be using to process that big data or perhaps it will be the haddoop database that we may end up implementing to store all of that data. We need to keep in mind that storing data is one thing, backing it up may be something completely different. All databases are not created the same. The arrival of NOSQL technology has made the choice of what database to use that much more difficult. One thing that we can do to try to make good decisions is to take a look at what other firms, perhaps in healthcare, have done and learn from their mistakes.
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Author : Simone Gressel
Genre : Business & Economics
Summary : An exciting new textbook examining big data and business analytics to look at how they can help managers become more effective decision-makers.
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Author : David Feinleib
Genre : Business & Economics
Summary : Investors and technology gurus have called big data one of the most important trends to come along in decades. Big Data Bootcamp explains what big data is and how you can use it in your company to become one of tomorrow’s market leaders. Along the way, it explains the very latest technologies, companies, and advancements. Big data holds the keys to delivering better customer service, offering more attractive products, and unlocking innovation. That’s why, to remain competitive, every organization should become a big data company. It’s also why every manager and technology professional should become knowledgeable about big data and how it is transforming not just their own industries but the global economy. And that knowledge is just what this book delivers. It explains components of big data like Hadoop and NoSQL databases; how big data is compiled, queried, and analyzed; how to create a big data application; and the business sectors ripe for big data-inspired products and services like retail, healthcare, finance, and education. Best of all, your guide is David Feinleib, renowned entrepreneur, venture capitalist, and author of Why Startups Fail. Feinleib’s Big Data Landscape, a market map featured and explained in the book, is an industry benchmark that has been viewed more than 150,000 times and is used as a reference by VMWare, Dell, Intel, the U.S. Government Accountability Office, and many other organizations. Feinleib also explains: • Why every businessperson needs to understand the fundamentals of big data or get run over by those who do • How big data differs from traditional database management systems • How to create and run a big data project • The technical details powering the big data revolution Whether you’re a Fortune 500 executive or the proprietor of a restaurant or web design studio, Big Data Bootcamp will explain how you can take full advantage of new technologies to transform your company and your career.
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Author : Jay Liebowitz
Genre : Business & Economics
Summary : "The chapters in this volume offer useful case studies, technical roadmaps, lessons learned, and a few prescriptions todo this, avoid that.'"-From the Foreword by Joe LaCugna, Ph.D., Enterprise Analytics and Business Intelligence, Starbucks Coffee CompanyWith the growing barrage of "big data," it becomes vitally important for organizations to mak