Data Analytics books

Advanced Customer Analytics provides a clear guide to the specific analytical challenges faced by the retail sector. The book covers the nature and scale of data obtained in transactions, relative proximity to the consumer and the need to monitor customer behaviour across multiple channels. The book advocates a category management approach, taking into account the need to understand the consumer mindset through elasticity modelling and discount strategies, as well as targeted marketing and loyalty design.A practical, no-nonsense approach to complex scenarios is taken throughout, breaking down tasks into easily digestible steps. The use of a fictional retail analyst 'Scott' helps to provide accessible examples of practice. Advanced Customer Analytics does not skirt around the complexities of this subject but offers conceptual support to steer retail marketers towards making the right choices for analysing their data. Online resources include a selection of datasets to support specific chapters.

Application of Big Data and Business Analytics uses advanced analytic tools to explore the solutions to problems in society, environment and industry. The chapters within bring together researchers, engineers and practitioners, encompassing a wide and diverse set of topics in almost every field.  With the increase in the availability of data, analytics has now become a major element in both the top line and the bottom line of any organization. With this in mind, Application of Big Data and Business Analytics brings together researchers, engineers and practitioners, encompassing a wide and diverse set of topics in almost every field.  The primary target audience of this book includes researchers, academicians and data scientists from a variety of disciplines interested in analyzing and application of big data analytics. However, this work will also be of general interest to postgraduates and undergraduates pursuing advanced study in big data.

Make any team or business data driven with this practical guide to overcoming common challenges and creating a data culture. Businesses are increasingly focusing on their data and analytics strategy, but a data-driven culture grounded in evidence-based decision making can be difficult to achieve. Be Data Driven outlines a step-by-step roadmap to building a data-driven organization or team, beginning with deciding on outcomes and a strategy before moving onto investing in technology and upskilling where necessary. This practical guide explains what it means to be a data-driven organization and explores which technologies are advancing data and analytics. Crucially, it also examines the most common challenges to becoming data driven, from a foundational skills gap to issues with leadership and strategy and the impact of organizational culture. With case studies of businesses who have successfully used data, Be Data Driven shows managers, leaders and data professionals how to address hurdles, encourage a data culture and become truly data driven.

In the fast moving world of the fourth industrial revolution not everyone needs to be a data scientist but everyone should be data literate, with the ability to read, analyze and communicate with data.It is not enough for a business to have the best data if those using it don't understand the right questions to ask or how to use the information generated to make decisions. Be Data Literate is the essential guide to developing the curiosity, creativity and critical thinking necessary to make anyone data literate, without retraining as a data scientist or statistician. With learnings to show development and real-world examples from industries implementing data literacy skills, this book explains how to confidently read and speak the 'language of data' in the modern business environment and everyday life. Be Data Literate is a practical guide to understanding the four levels of analytics, how to analyze data and the key steps to making smarter, data-informed decisions. Written by a founding pioneer and worldwide leading expert on data literacy, this book empowers professionals with the skills they need to succeed in the digital world.

Big data is a field of research that is growing rapidly, and as the Covid-19 crisis has shown, health care is an area that could benefit greatly from its increased use and application. Big data, as derived partly from the internet of things and analysed according to specific algorithms, has a large and beneficial role to play in preventative medicine, in monitoring the health of specific groups, and in improving diagnostics. Big Data Analytics and Intelligence: A Perspective for Health Care focuses on various areas of health care, ranging from nutrition to cancer, and providing diverse perspectives on all of them. This book explores the entire life-cycle of big data, from information retrieval to analysis, and it shows how big data’s applications can enhance, streamline and improve services for patients and health-care professionals. Each chapter focuses on a specific area of health care and how big data is applicable to it, with background and current examples provided.

A Practical Guide to learn HIVE, PIG, SQOOP Key Features Overview Of Big Data Basics of Hadoop Hadoop Distributed File System HBase, MapReduce HIVE: The Data-ware House Of Hadoop PIG: The Higher Level Programming Environment SQOOP: Importing Data From Heterogeneous Sources Flume, Ozzie, Zookeeper & Big Data Stream Mining. Description The book contains the latest trend in IT industry ‘Big Data and Hadoop’. It explain about how big is ‘Big Data’ and why everybody is trying to implement this into their IT project. It includes research work of various topics, theoretical and practical approach, each component of the architecture is described along with current industry trends. Big Data and Hadoop taken together are a new skill as per the industry standards. Readers will get a compact book along with the industry experience, and would be a reference to help readers. What You Will Learn Big Data, No SQL Data Management Basics of Hadoop, its Installation MapReduce Applications Hadoop Related Tools Who This Book is For This book promises to be a very good starting point for beginners and an asset to advanced users too. Difficult concepts of Big Data-Hadoop is given in an easy and practical way, so that students can able to understand it in an efficient manner. Table of Contents 1. Big Data- Introduction and Demand 2. No SQL Data Management 3. Basics of Hadoop 4. Hadoop Installation (Step-by-Step) 5. MapReduce Applications 6. Hadoop Related Tools-I (Hbase & Cassandra) 7. Hadoop Related Tools -II (PigLatin & HiveQL) 8. Practical & Research based Topics 9. Appendix: Hadoop Commands 10. Chapter wise Questions 11. Previous Year Question Paper About the Author Mayank Bhushan, Asst. Prof. in ABES Engineering College, Ghaziabad with an experience of more than eight years of teaching. He has done his graduation and post graduation in Computer Science & Engineering. He holds global certification on Big Data Analytics and Salesforce-Cloud computing, certification from Indian Institute of Technology Kharagpur on Linux platform.

Data has dramatically changed how our world works. Understanding and using data is now one of the most transferable and desirable skills. Whether you're an entrepreneur wanting to boost your business, a jobseeker looking for that employable edge, or simply hoping to make the most of your current career, Confident Data Skills is here to help.This updated second edition takes you through the basics of data: from data mining and preparing and analysing your data, to visualizing and communicating your insights. It now contains exciting new content on neural networks and deep learning. Featuring in-depth international case studies from companies including Amazon, LinkedIn and Mike's Hard Lemonade Co, as well as easy-to understand language and inspiring advice and guidance, Confident Data Skills will help you use your new-found data skills to give your career that cutting-edge boost.About the Confident series...From coding and web design to data, digital content and cyber security, the Confident books are the perfect beginner's resource for enhancing your professional life, whatever your career path.

The world is moving towards universal connectivity at a dizzying rate; underpinning this complex system of incessant transaction, connection and digital experience is an infrastructure that generates a trail of data. This trail not only tells us about human behaviour, but provides vital insights into market dynamics, consumer behaviour, as well as the relationships we value and the culture we live in. Creativity and Data Marketing helps marketers access this data, find meaning in it and leverage it creatively to gain a competitive advantage. Creativity and Data Marketing addresses the need to analyse data creatively, and in particular how balancing tangible insights with creative market influence can maximise business innovation and results. The book clarifies where businesses can improve existing infrastructure, processes and activities, as well as finding new addressable markets ready to validate or rethink market demand. By identifying how and why a consumer interacts with touch points beyond paid media, for example forums, blog content, native advertising and word-of-mouth, Becky Wang presents a creativity and data blueprint on how businesses can make lucrative steps forward to innovate their products, services and communication strategies, laying the groundwork for long-term results. Online resources include bonus content covering analytics methods, evolving research, data platforms and more, and a creative brief template.

For many organizations data is a by-product, but for the smarter ones it is the heartbeat of their business. Most businesses have a wealth of data buried in their systems which, if used effectively, could increase revenue, reduce costs and risk and improve customer satisfaction and employee experience. Beginning with how to choose projects which reflect your organization's goals and how to make the business case for investing in data, this book then takes the reader through the five 'waves' of organizational data maturity. It takes the reader from getting started on the data journey with some quick wins, to how data can help your business become a leading innovator which systematically outperforms competitors. Data and Analytics Strategy for Business outlines how to build consistent, high-quality sources of data which will create business value and explores how automation, AI and machine learning can improve performance and decision making. Filled with real-world examples and case studies, this book is a stage-by-stage guide to designing and implementing a results-driven data strategy. Table of contents Section - PART ONE: How data and analytics can help you grow your business; Chapter - 01: How can this book help you?; Chapter - 02: The business case for data; Chapter - 03: Your data and analytics strategy; Chapter - 04: A team game; Section - PART TWO: Wave 1: Aspire; Chapter - 05: A quick win; Chapter - 06: Repeat and learn; Section - PART THREE: Wave 2: Mature; Chapter - 07: Data governance; Chapter - 08: Data quality; Chapter - 09: A single customer view; Chapter - 10: Reports and dashboards; Chapter - 11: Data risk management and ethics; Section - PART FOUR: Wave 3: Industrialize; Chapter - 12: Automation, automation, automation; Chapter - 13: Scaling up and scaling out; Chapter - 14: Optimizing; Section - PART FIVE: Wave 4: Realize; Chapter - 15: The voice of the customer; Chapter - 16: Maximizing data science; Chapter - 17: Sharing data with suppliers and customers; Section - PART SIX: Wave 5: Differentiate; Chapter - 18: From data-driven to AI-driven; Chapter - 19: Data products; Chapter - 20: Right leadership, right time; Chapter - 21: Epilogue: Data success; About the author Simon Asplen-Taylor is an experienced and successful data and analytics leader based in London, UK, having served as Chief Data Officer for multiple FTSE firms and led some of the largest data led transformations in Europe. He specialises in transforming business through the use of data, analytics and artificial intelligence and is currently leading the data transformation at Lloyd's of London. He was included in the dataIQ 100 Most Influential People in Data in both 2020 and 2021.

Data Science and Analytics explores the solutions to problems in society, environment and in industry. With the increase in the availability of data, analytics has now become a major element in both the top line and the bottom line of any organization. This book explores perspectives on how big data and business analytics are increasingly essential in better decision making. This edited work explores the application of big data and business analytics by academics, researchers, industrial experts, policy makers and practitioners, helping the reader to understand how big data can be efficiently utilized in better managerial applications. Data Science and Analytics brings together researchers, engineers and practitioners to encompass a wide and diverse range of topics in a wide range of fields.  The book will provide unique insights to researchers, academics and data scientists from a variety of disciplines interested in analyzing and application of big data analytics, as well as data analysts, students and scholars pursuing advanced study in big data.