Data Analytics For Business
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Data Analytics For Business
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Author : Fenio Annansingh
language : en
Publisher: Routledge
Release Date : 2022-04-20
Data Analytics For Business written by Fenio Annansingh and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-20 with Business & Economics categories.
Data analytics underpin our modern data-driven economy. This textbook explains the relevance of data analytics at the firm and industry levels, tracing the evolution and key components of the field, and showing how data analytics insights can be leveraged for business results. The first section of the text covers key topics such as data analytics tools, data mining, business intelligence, customer relationship management, and cybersecurity. The chapters then take an industry focus, exploring how data analytics can be used in particular settings to strengthen business decision-making. A range of sectors are examined, including financial services, accounting, marketing, sport, health care, retail, transport, and education. With industry case studies, clear definitions of terminology, and no background knowledge required, this text supports students in gaining a solid understanding of data analytics and its practical applications. PowerPoint slides, a test bank of questions, and an instructor’s manual are also provided as online supplements. This will be a valuable text for undergraduate level courses in data analytics, data mining, business intelligence, and related areas.
Data Analytics For Business Intelligence
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Author : Zhaohao Sun
language : en
Publisher: CRC Press
Release Date : 2024-12-30
Data Analytics For Business Intelligence written by Zhaohao Sun and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-30 with Computers categories.
This book studies data, analytics, and intelligence using Boolean structure. Chapters dive into the theories, foundations, technologies, and methods of data, analytics, and intelligence. The primary aim of this book is to convey the theories and technologies of data, analytics, and intelligence with applications to readers based on systematic generalization and specialization. Sun uses the Boolean structure to deconstruct all books and papers related to data, analytics, and intelligence and to reorganize them to reshape the world of big data, data analytics, analytics intelligence, data science, and artificial intelligence. Multi-industry applications in business, management, and decision-making are provided. Cutting-edge theories, technologies, and applications of data, analytics, and intelligence and their integration are also explored. Overall, this book provides original insights on sharing computing, insight computing, platform computing, a calculus of intelligent analytics and intelligent business analytics, meta computing, data analyticizing, DDPP (descriptive, diagnostic, predictive, and prescriptive) computing, and analytics. This book is a useful resource with multi-industry applications for scientists, engineers, data analysts, educators, and university students.
Data Analytics For Businesses 2019 Master Data Science With Optimised Marketing Strategies Using Data Mining Algorithms Artificial Intelligence Machine Learning Predictive Modelling And More
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Author : Riley Adams
language : en
Publisher: Riley Adams
Release Date : 2019-06-21
Data Analytics For Businesses 2019 Master Data Science With Optimised Marketing Strategies Using Data Mining Algorithms Artificial Intelligence Machine Learning Predictive Modelling And More written by Riley Adams and has been published by Riley Adams this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-21 with Business & Economics categories.
" Are you looking for new ways to grow your business, with resources you already have? Do you want to know how the big players like Netflix, Amazon, or Shopify use data analytics to MULTIPLY their growth? Keep listening to learn how to use data analytics to maximise YOUR business. Yes, you have customers that love your product. However, you're having trouble finding new customers and captivating their attention. You realized your also losing customers, and you have no clue what you can do to prevent this from happening. How do I stand out in a crowd of businesses? How do I target my perfect client and make them choose ME? If this sounds like you, Data Analytics for Businesses if the guide you need. This book will walk you through the fundamental principles of data science and how to apply the "data analytic mindset" when approaching your business. You will learn how to extract valuable insights from data sources you ALREADY HAVE, and make informed business decisions to help you achieve your goals. With real world examples of how to apply data analytics to your business, this book does what others fail to do. Break the process down step by step, so you can optimize unique parts of your business; such as improving customer loyalty or reducing churn. This guide also helps you understand the many data-mining techniques in use today. Discover the value of applied data science for business decision-making. You'll learn how to think data-analytically, and make connections between data sources to unveil insights you've never imagined. In this book you will learn: * Why every company should be leveraging Data Analytics * The difference between Big Data, Data Science and Data Analytics. * How to achieve your goals by applying data-analytical thinking to your business * The recommended data mining techniques for each of your business goals. * The most important thing to remember when extracting knowledge from your data. * How to use data analytics to improve brand loyalty and customer experience. * How to hire the best data scientist, and more. If you are overwhelmed by this whole new topic of data analytics, don't be. This guide is designed for beginners, with all the guidance you need to understand the fundamentals of harnessing data analytics for your business. So even if you have never heard about data analytics until today, I promise we will walk through this step- by-step. By the end of this, you'll be able to think analytically and make informed business decisions. This book illustrates how EASY it is to find success by just applying a few principles. So stop reading this description, and start reading Data Analytics for Businesses instead. Scroll up, and CLICK BUY now! "
Data Science For Business
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Author : R.H Rizvi
language : en
Publisher: R.H Rizvi
Release Date : 2025-02-27
Data Science For Business written by R.H Rizvi and has been published by R.H Rizvi this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-27 with Computers categories.
Data Science for Business is a best-selling guide that empowers professionals, entrepreneurs, and decision-makers with the knowledge to leverage data science for strategic business growth. Written by renowned expert R.H. Rizvi, this book provides a comprehensive exploration of data analytics, machine learning, and AI-driven decision-making, tailored specifically for business applications. Covering fundamental concepts to advanced techniques, this book delves into: ✔ Supervised and unsupervised learning for business insights ✔ Predictive analytics for forecasting trends and optimizing operations ✔ Customer analytics, marketing optimization, and fraud detection ✔ Ethical considerations and data governance ✔ Emerging trends like AutoML, quantum computing, and edge analytics With real-world case studies from industry giants like Amazon, Uber, and Coca-Cola, Data Science for Business offers actionable insights to help organizations make data-driven decisions with confidence. Whether you're a business leader, analyst, or aspiring data scientist, this book equips you with the tools to stay ahead in the competitive digital landscape. Transform your business with the power of data science—get your copy today!
Data Analytics
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Author : Matthew Adams
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2016-11-08
Data Analytics written by Matthew Adams and has been published by Createspace Independent Publishing Platform this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-08 with Big data categories.
Are You Ready To Learn How To Understand SMART Big Data & Data Analytics For improved Business Intelligence AND Performance? Do You Need To Manage Big Data Solutions? Yes, you can easily understand how data science fits in your organization! In Data Analytics: Using Big Data Analytics For Business To Increase Profits And Create Happy Customers,Matthew Adams reveals the reality of the big data analytics world, and outlines clear and actionable steps that will equip the reader with the tools needed for this next phase of human evolution. This book contains proven steps and strategies on how to use everyday data analytics for business to increase profitability and customer satisfaction. Open the book and find: An Introduction To Analytics The Importance Of Data Analysis In Business Real World Examples of Data Analytics Benefitting Businesses A Step-By-Step Guide For Conducting Data Analysis For Your Business Variance And Covariance In Business Effective Data Management Hubris And The Limitations Of Big Data Find the right big data solution for your business or organization Thinking bigger is an essential trait for anyone who wants to ensure that their company isn't left in the dust. This book will give you a clear understanding, blueprint, and step-by-step approach to building your own data science strategy. In addition, the book offers guidance on how to ensure security, and respect the privacy rights of consumers. The book includes discussions of: How big data could change your job, your company, and your industry What technology you need to manage The key success factors in implementing any big data project Do you want to know what makes data analytics more valuable than ever? Don't wait even for a second longer! Purchase your copy of Data Analytics: Using Big Data Analytics For Business To Increase Profits And Create Happy Customers right away and learn how to enhance your business capabilities!
Data Science For Business
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Author : Foster Provost
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2013-07-27
Data Science For Business written by Foster Provost and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-07-27 with Business & Economics categories.
Annotation This broad, deep, but not-too-technical guide introduces you to the fundamental principles of data science and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. By learning data science principles, you will understand the many data-mining techniques in use today. More importantly, these principles underpin the processes and strategies necessary to solve business problems through data mining techniques.
Foundations Of Business Analytics
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Author : Yulia Kosarenko
language : en
Publisher: Canadian Scholars
Release Date : 2025-05-29
Foundations Of Business Analytics written by Yulia Kosarenko and has been published by Canadian Scholars this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-29 with Business & Economics categories.
Foundations of Business Analytics provides fundamental knowledge for business analytics students and professionals, starting from an understanding of the basic concepts of data, information, knowledge, and data life cycle and progressing to the management of analytics projects, the analytics architecture of an enterprise, and classification of analytics solutions. Written by a leading expert in business analytics, this essential text is enriched with references to key business analysis concepts, such as the importance of solving the right problem and analyzing stakeholder requirements to develop successful analytics solutions. Structured as a solid foundation for those new to the field of business analytics, this text provides the perfect entry point for students, the opportunity for professionals to upskill, or for managerial professionals to gain a better understanding of the value, benefits, and success factors of analytics. Foundations of Business Analytics is an essential resource for a wide audience including business, IT, and data science programs at North American colleges and universities that have courses focusing on introduction to business analytics, data analytics, or big data.
Data Analytics
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Author : Dr. Hariharan R
language : en
Publisher: Archers & Elevators Publishing House
Release Date :
Data Analytics written by Dr. Hariharan R and has been published by Archers & Elevators Publishing House this book supported file pdf, txt, epub, kindle and other format this book has been release on with Antiques & Collectibles categories.
Ai Based Data Analytics
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Author : Kiran Chaudhary
language : en
Publisher: CRC Press
Release Date : 2023-12-29
Ai Based Data Analytics written by Kiran Chaudhary and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-29 with Computers categories.
This book covers various topics related to marketing and business analytics. It explores how organizations can increase their profits by making better decisions in a timely manner through the use of data analytics. This book is meant for students, practitioners, industry professionals, researchers, and academics working in the field of commerce and marketing, big data analytics, and organizational decision-making. Highlights of the book include: The role of Explainable AI in improving customer experiences in e-commerce Sentiment analysis of social media Data analytics in business intelligence Federated learning for business intelligence AI-based planning of business management An AI-based business model innovation in new technologies An analysis of social media marketing and online impulse buying behaviour AI-Based Data Analytics: Applications for Business Management has two primary focuses. The first is on analytics for decision-making and covers big data analytics for market intelligence, data analytics and consumer behavior, and the role of big data analytics in organizational decision-making. The book’s second focus is on digital marketing and includes the prediction of marketing by consumer analytics, web analytics for digital marketing, smart retailing, and leveraging web analytics for optimizing digital marketing strategies.
The Modern Business Data Analyst
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Author : Dominik Jung
language : en
Publisher: Springer Nature
Release Date : 2024-07-03
The Modern Business Data Analyst written by Dominik Jung and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-03 with Computers categories.
This book illustrates and explains the key concepts of business data analytics from scratch, tackling the day-to-day challenges of a business data analyst. It provides you with all the professional tools you need to predict online shop sales, to conduct A/B tests on marketing campaigns, to generate automated reports with PowerPoint, to extract datasets from Wikipedia, and to create interactive analytics Web apps. Alongside these practical projects, this book provides hands-on coding exercises, case studies, the essential programming tools and the CRISP-DM framework which you'll need to kickstart your career in business data analytics. The different chapters prioritize practical understanding over mathematical theory, using realistic business data and challenges of the Junglivet Whisky Company to intuitively grasp key concepts and ideas. Designed for beginners and intermediates, this book guides you from business data analytics fundamentals to advanced techniques, covering a large number of different techniques and best-practices which you can immediately exploit in your daily work. The book does not assume that you have an academic degree or any experience with business data analytics or data science. All you need is an open mind, willingness to puzzle and think mathematically, and the willingness to write some R code. This book is your all-in-one resource to become proficient in business data analytics with R, equipped with practical skills for the real world.