Big Data Mba
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Big Data Mba
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Author : Bill Schmarzo
language : en
Publisher: John Wiley & Sons
Release Date : 2015-12-11
Big Data Mba written by Bill Schmarzo and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-12-11 with Computers categories.
Integrate big data into business to drive competitive advantage and sustainable success Big Data MBA brings insight and expertise to leveraging big data in business so you can harness the power of analytics and gain a true business advantage. Based on a practical framework with supporting methodology and hands-on exercises, this book helps identify where and how big data can help you transform your business. You'll learn how to exploit new sources of customer, product, and operational data, coupled with advanced analytics and data science, to optimize key processes, uncover monetization opportunities, and create new sources of competitive differentiation. The discussion includes guidelines for operationalizing analytics, optimal organizational structure, and using analytic insights throughout your organization's user experience to customers and front-end employees alike. You'll learn to “think like a data scientist” as you build upon the decisions your business is trying to make, the hypotheses you need to test, and the predictions you need to produce. Business stakeholders no longer need to relinquish control of data and analytics to IT. In fact, they must champion the organization's data collection and analysis efforts. This book is a primer on the business approach to analytics, providing the practical understanding you need to convert data into opportunity. Understand where and how to leverage big data Integrate analytics into everyday operations Structure your organization to drive analytic insights Optimize processes, uncover opportunities, and stand out from the rest Help business stakeholders to “think like a data scientist” Understand appropriate business application of different analytic techniques If you want data to transform your business, you need to know how to put it to use. Big Data MBA shows you how to implement big data and analytics to make better decisions.
Big Data Mba
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Author : Bill Schmarzo
language : en
Publisher: John Wiley & Sons
Release Date : 2015-12-21
Big Data Mba written by Bill Schmarzo and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-12-21 with Computers categories.
Integrate big data into business to drive competitive advantage and sustainable success Big Data MBA brings insight and expertise to leveraging big data in business so you can harness the power of analytics and gain a true business advantage. Based on a practical framework with supporting methodology and hands-on exercises, this book helps identify where and how big data can help you transform your business. You'll learn how to exploit new sources of customer, product, and operational data, coupled with advanced analytics and data science, to optimize key processes, uncover monetization opportunities, and create new sources of competitive differentiation. The discussion includes guidelines for operationalizing analytics, optimal organizational structure, and using analytic insights throughout your organization's user experience to customers and front-end employees alike. You'll learn to “think like a data scientist” as you build upon the decisions your business is trying to make, the hypotheses you need to test, and the predictions you need to produce. Business stakeholders no longer need to relinquish control of data and analytics to IT. In fact, they must champion the organization's data collection and analysis efforts. This book is a primer on the business approach to analytics, providing the practical understanding you need to convert data into opportunity. Understand where and how to leverage big data Integrate analytics into everyday operations Structure your organization to drive analytic insights Optimize processes, uncover opportunities, and stand out from the rest Help business stakeholders to “think like a data scientist” Understand appropriate business application of different analytic techniques If you want data to transform your business, you need to know how to put it to use. Big Data MBA shows you how to implement big data and analytics to make better decisions.
Harness The Power Of Big Data The Ibm Big Data Platform
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Author : Paul Zikopoulos
language : en
Publisher: McGraw Hill Professional
Release Date : 2012-11-08
Harness The Power Of Big Data The Ibm Big Data Platform written by Paul Zikopoulos and has been published by McGraw Hill Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-11-08 with Computers categories.
Boost your Big Data IQ! Gain insight into how to govern and consume IBM’s unique in-motion and at-rest Big Data analytic capabilities Big Data represents a new era of computing—an inflection point of opportunity where data in any format may be explored and utilized for breakthrough insights—whether that data is in-place, in-motion, or at-rest. IBM is uniquely positioned to help clients navigate this transformation. This book reveals how IBM is infusing open source Big Data technologies with IBM innovation that manifest in a platform capable of "changing the game." The four defining characteristics of Big Data—volume, variety, velocity, and veracity—are discussed. You’ll understand how IBM is fully committed to Hadoop and integrating it into the enterprise. Hear about how organizations are taking inventories of their existing Big Data assets, with search capabilities that help organizations discover what they could already know, and extend their reach into new data territories for unprecedented model accuracy and discovery. In this book you will also learn not just about the technologies that make up the IBM Big Data platform, but when to leverage its purpose-built engines for analytics on data in-motion and data at-rest. And you’ll gain an understanding of how and when to govern Big Data, and how IBM’s industry-leading InfoSphere integration and governance portfolio helps you understand, govern, and effectively utilize Big Data. Industry use cases are also included in this practical guide.
Data Science Mba
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Author : Alex Coad
language : en
Publisher: Springer Nature
Release Date :
Data Science Mba written by Alex Coad and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Business Data Science Combining Machine Learning And Economics To Optimize Automate And Accelerate Business Decisions
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Author : Matt Taddy
language : en
Publisher: McGraw Hill Professional
Release Date : 2019-08-23
Business Data Science Combining Machine Learning And Economics To Optimize Automate And Accelerate Business Decisions written by Matt Taddy and has been published by McGraw Hill Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-23 with Business & Economics categories.
Use machine learning to understand your customers, frame decisions, and drive value The business analytics world has changed, and Data Scientists are taking over. Business Data Science takes you through the steps of using machine learning to implement best-in-class business data science. Whether you are a business leader with a desire to go deep on data, or an engineer who wants to learn how to apply Machine Learning to business problems, you’ll find the information, insight, and tools you need to flourish in today’s data-driven economy. You’ll learn how to: Use the key building blocks of Machine Learning: sparse regularization, out-of-sample validation, and latent factor and topic modeling Understand how use ML tools in real world business problems, where causation matters more that correlation Solve data science programs by scripting in the R programming language Today’s business landscape is driven by data and constantly shifting. Companies live and die on their ability to make and implement the right decisions quickly and effectively. Business Data Science is about doing data science right. It’s about the exciting things being done around Big Data to run a flourishing business. It’s about the precepts, principals, and best practices that you need know for best-in-class business data science.
Ai Data Literacy
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Author : Bill Schmarzo
language : en
Publisher: Packt Publishing Ltd
Release Date : 2023-07-26
Ai Data Literacy written by Bill Schmarzo and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-26 with Computers categories.
Learn the key skills and capabilities that empower Citizens of Data Science to not only survive but thrive in an AI-dominated world. Purchase of the print or Kindle book includes a free PDF eBook Key Features Prepare for a future dominated by AI and big data Enhance your AI and data literacy with real-world examples Learn how to leverage AI and data to address current and future challenges Book DescriptionAI is undoubtedly a game-changing tool with immense potential to improve human life. This book aims to empower you as a Citizen of Data Science, covering the privacy, ethics, and theoretical concepts you’ll need to exploit to thrive amid the current and future developments in the AI landscape. We'll explore AI's inner workings, user intent, and the critical role of the AI utility function while also briefly touching on statistics and prediction to build decision models that leverage AI and data for highly informed, more accurate, and less risky decisions. Additionally, we'll discuss how organizations of all sizes can leverage AI and data to engineer or create value. We'll establish why economies of learning are more powerful than the economies of scale in a digital-centric world. Ethics and personal/organizational empowerment in the context of AI will also be addressed. Lastly, we'll delve into ChatGPT and the role of Large Language Models (LLMs), preparing you for the growing importance of Generative AI. By the end of the book, you'll have a deeper understanding of AI and how best to leverage it and thrive alongside it.What you will learn Get to know the fundamentals of data literacy, privacy, and analytics Find out what makes AI tick and the role of the AI utility function Make informed decisions using prominent decision-making frameworks Understand relevant statistics and probability concepts Create new sources of value by leveraging and applying AI and data Apply ethical parameters to AI development with real-world examples Find out how to get the most out of ChatGPT and its peers Who this book is forThis book is designed to benefit everyone from students to established business leaders and professionals who want to learn how to leverage data and analytics to accelerate their AI and Data literacy.
Big Data Analytics In Agile Software Development
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Author : David Gerald
language : en
Publisher:
Release Date : 2021-07-04
Big Data Analytics In Agile Software Development written by David Gerald and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-04 with categories.
Over the last decade, Agile methods have changed the software development process in an unparalleled way. As opposed to traditional, plan-driven models of software development (e.g. waterfall model), where processes are organized in a series of sequentially ordered stages, Agile software development (ASD) entails collaborative development with swift and incremental iterations. As a result, adaptability to fre- quently changing requirements and a strong emphasis on delivering value to customers represent the crux of ASD and have driven its wide acceptance among software practitioners in the last years. Furthermore, this paradigm shift from plan-driven software development processes to ASD accorded with social and technological advances. Keywords: Big Data analytics in Agile software development big data facebook big data baseball big data analysis for green computing concepts and applications big data big climb big data systems big data healthcare big data aws big data science big data mba big data a big data dragon tank big data a revolution that will transform big data a revolution that will transform how we live work and think big data algorithms big data analysis big data analytics big data and health analytics big data and social science big data architect big data architecture big data at work big data band big data big analytics big data big climb big data big design big data book big data dangerous big data demystified big data design big data does size matter big data driven business big data engineer big data engineering big data español big data finance big data for beginners big data for social good big data frameworks big data fundamentals big data fundamentals concepts, drivers & techniques big data genomics big data glossary big data health analytics big data in education big data in finance big data in healthcare big data in practice big data integration big data interview big data lake big data management big data manning big data marketing big data marz big data mba big data mba driving business strategies with data science big data modeling big data on campus big data para ceos y directores de marketing big data platform big data policing big data principles and best practices big data profits success analytics big data project big data project management big data python big data questions and answers big data race big data real estate big data revolution big data science big data science in finance big data security big data small wars big data spanish big data spark big data system big data technologies for business big data textbook big data uncharted big data understanding how data powers big business big data using hadoop big data using hadoop and hive big data visualization big data with java big data with spark
The Economics Of Data Analytics And Digital Transformation
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Author : Bill Schmarzo
language : en
Publisher: Packt Publishing Ltd
Release Date : 2020-11-30
The Economics Of Data Analytics And Digital Transformation written by Bill Schmarzo and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-30 with Computers categories.
Build a continuously learning and adapting organization that can extract increasing levels of business, customer and operational value from the amalgamation of data and advanced analytics such as AI and Machine Learning Key Features Master the Big Data Business Model Maturity Index methodology to transition to a value-driven organizational mindset Acquire implementable knowledge on digital transformation through 8 practical laws Explore the economics behind digital assets (data and analytics) that appreciate in value when constructed and deployed correctly Book Description In today's digital era, every organization has data, but just possessing enormous amounts of data is not a sufficient market discriminator. The Economics of Data, Analytics, and Digital Transformation aims to provide actionable insights into the real market discriminators, including an organization's data-fueled analytics products that inspire innovation, deliver insights, help make practical decisions, generate value, and produce mission success for the enterprise. The book begins by first building your mindset to be value-driven and introducing the Big Data Business Model Maturity Index, its maturity index phases, and how to navigate the index. You will explore value engineering, where you will learn how to identify key business initiatives, stakeholders, advanced analytics, data sources, and instrumentation strategies that are essential to data science success. The book will help you accelerate and optimize your company's operations through AI and machine learning. By the end of the book, you will have the tools and techniques to drive your organization's digital transformation. Here are a few words from Dr. Kirk Borne, Data Scientist and Executive Advisor at Booz Allen Hamilton, about the book: "Data analytics should first and foremost be about action and value. Consequently, the great value of this book is that it seeks to be actionable. It offers a dynamic progression of purpose-driven ignition points that you can act upon." What you will learn Train your organization to transition from being data-driven to being value-driven Navigate and master the big data business model maturity index Learn a methodology for determining the economic value of your data and analytics Understand how AI and machine learning can create analytics assets that appreciate in value the more that they are used Become aware of digital transformation misconceptions and pitfalls Create empowered and dynamic teams that fuel your organization's digital transformation Who this book is for This book is designed to benefit everyone from students who aspire to study the economic fundamentals behind data and digital transformation to established business leaders and professionals who want to learn how to leverage data and analytics to accelerate their business careers.
Healthcare Information Technology Exam Guide For Chts And Cahims Certifications
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Author : Kathleen A. McCormick
language : en
Publisher: McGraw Hill Professional
Release Date : 2017-09-15
Healthcare Information Technology Exam Guide For Chts And Cahims Certifications written by Kathleen A. McCormick and has been published by McGraw Hill Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-15 with Computers categories.
The Complete Healthcare Information Technology Reference and Exam Guide Gain the skills and knowledge required to implement and support healthcare IT (HIT) systems in various clinical and healthcare business settings. Health Information Technology Exam Guide for CHTS and CAHIMS Certifications prepares IT professionals to transition into HIT with coverage of topics ranging from health data standards to project management. This new edition includes broadened security content in addition to coverage of disruptive innovations such as complex platforms that support big data, genomics, telemedicine, mobile devices, and consumers. Learn about achieving true interoperability, updates to HIPAA rules, and FHIR and SMART standards. “This book is an invaluable reference for understanding what has come before and what trends are likely to shape the future. The world of big data, precision medicine, genomics, and telehealth require us to break old paradigms of architecture and functionality while not interrupting existing care processes and revenue cycles... We’re dealing with state sponsored cyberterrorism, hacktivism, and organized crime. I describe healthcare IT security as a cold war... You’ll hear from the experts who created many of the regulations and best practices we’re using today to keep information private. I hope you enjoy this book as much as I have and that it finds a place of importance on your book shelf.” From the Foreword by John D. Halamka, MD, Chief Information Officer, CAREGROUP, Boston, MA Coverage includes: • Healthcare and Information Technology in the United States • Fundamentals of Healthcare Information Science • Healthcare Information Standards and Regulation • Implementing, Managing, and Maintaining Healthcare Information Technology • Optimizing Healthcare Information Technology • Making Healthcare Information Technology Private, Secure, and Confidential Electronic content includes: • Practice exams for CHTS and CAHIMS • Secure PDF copy of the book
The Young Businessman Small Company Or Large
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Author : Ronald E. Herington
language : en
Publisher:
Release Date : 1967
The Young Businessman Small Company Or Large written by Ronald E. Herington and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1967 with Big business categories.