Data Analytics: The New Ultimate Guide To Understanding & Using Data Analytics, Data Mining, Big Data

Author: John Harper

Publisher: John Harper

ISBN: 1386108456

Category: Computers

Page: N.A

View: 2986

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Data Analytics: The New Ultimate Guide To Understanding & Using Data Analytics, Data Mining, Big Data Businesses have, for a long time, had access to data, and until the last few years, have been outsourcing to data analysts to give them easier to understand insights into how useful their data is. The interest in today's data analytics is unprecedented. While analysis used to focus on only a few functions, today analysis focuses on every function. This starts with marketing and procurement to financial. But what is the reason for all of this happening now? The economic environment that businesses have to operate in is constantly changing. They don't just have to look at their ROI in a short time, but they also have to compete with other businesses with a very small time to market. In addition to all of this, businesses are forced to content the change of demographics and the new web technologies. The information in this book was written with all of this fast-paced and complex volatile market in mind. The information will expand past the basics of data analytics into the more complex world of predictive analytics, regression technique, and discrete choice. So you need to understand the fundamentals of data analytics before you start this book. You don't want to get left behind in this ever-changing world. Thanks again for downloading this book, I hope you enjoy it! Here Is A Preview Of What You'll Learn... Data Analytics Utilization Challenges and Risks Types of Analytics Techniques Applied in Data Analytics Data Mining Essentials Data Analytics in Real Life Integrating Business and Data Analytics And Much Much More.. Get Your Copy Right Now!
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Understanding the Role of Business Analytics

Some Applications

Author: Hardeep Chahal,Jeevan Jyoti,Jochen Wirtz

Publisher: Springer

ISBN: 9811313342

Category: Business & Economics

Page: 205

View: 2746

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This book encompasses empirical evidences to understand the application of data analytical techniques in emerging contexts. Varied studies relating to manufacturing and services sectors including healthcare, banking, information technology, power, education sector etc. stresses upon the systematic approach followed in applying the data analytical techniques; and also analyses how these techniques are effective in decision-making in different contexts. Especially, the application of regression modeling, financial modelling, multi-group modeling, cluster analysis, and sentiment analysis will help the readers in understanding critical business scenarios in the best possible way, and which later can help them in arriving at best solution for the business related problems. The individual chapters will help the readers in understanding the role of specific data analytic tools and techniques in resolving business operational issues experienced in manufacturing and service organisations in India and in developing countries. The book offers a relevant resource that will help readers in the application and interpretation of data analytical statistical practices relating to emerging issues like customer experience, marketing capability, quality of manufactured products, strategic orientation, high-performance human resource policy, employee resilience, financial resources, etc. This book will be of interest to a professional audience that include practitioners, policy makers, NGOs, managers and employees as well as academicians, researchers and students.
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Predictive Analytics, Data Mining and Big Data

Myths, Misconceptions and Methods

Author: S. Finlay

Publisher: Springer

ISBN: 1137379286

Category: Business & Economics

Page: 260

View: 977

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This in-depth guide provides managers with a solid understanding of data and data trends, the opportunities that it can offer to businesses, and the dangers of these technologies. Written in an accessible style, Steven Finlay provides a contextual roadmap for developing solutions that deliver benefits to organizations.
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International Conference on Intelligent Data Communication Technologies and Internet of Things (ICICI) 2018

Author: Jude Hemanth,Xavier Fernando,Pavel Lafata,Zubair Baig

Publisher: Springer

ISBN: 3030031462

Category: Computers

Page: 1590

View: 5517

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This book discusses data communication and computer networking, communication technologies and the applications of IoT (Internet of Things), big data, cloud computing and healthcare informatics. It explores, examines and critiques intelligent data communications and presents inventive methodologies in communication technologies and IoT. Aimed at researchers and academicians who need to understand the importance of data communication and advanced technologies in IoT, it offers different perspectives to help readers increase their knowledge and motivates them to conduct research in the area, highlighting various innovative ideas for future research.
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Enterprise Analytics

Optimize Performance, Process, and Decisions Through Big Data

Author: Thomas H. Davenport

Publisher: FT Press

ISBN: 0133039463

Category: Business & Economics

Page: 304

View: 6401

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Normal 0 false false false MicrosoftInternetExplorer4 The Definitive Guide to Enterprise-Level Analytics Strategy, Technology, Implementation, and Management Organizations are capturing exponentially larger amounts of data than ever, and now they have to figure out what to do with it. Using analytics, you can harness this data, discover hidden patterns, and use this knowledge to act meaningfully for competitive advantage. Suddenly, you can go beyond understanding “how, when, and where” events have occurred, to understand why – and use this knowledge to reshape the future. Now, analytics pioneer Tom Davenport and the world-renowned experts at the International Institute for Analytics (IIA) have brought together the latest techniques, best practices, and research on analytics in a single primer for maximizing the value of enterprise data. Enterprise Analytics is today’s definitive guide to analytics strategy, planning, organization, implementation, and usage. It covers everything from building better analytics organizations to gathering data; implementing predictive analytics to linking analysis with organizational performance. The authors offer specific insights for optimizing supply chains, online services, marketing, fraud detection, and many other business functions. They support their powerful techniques with many real-world examples, including chapter-length case studies from healthcare, retail, and financial services. Enterprise Analytics will be an invaluable resource for every business and technical professional who wants to make better data-driven decisions: operations, supply chain, and product managers; product, financial, and marketing analysts; CIOs and other IT leaders; data, web, and data warehouse specialists, and many others.
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Spark: The Definitive Guide

Big Data Processing Made Simple

Author: Bill Chambers,Matei Zaharia

Publisher: "O'Reilly Media, Inc."

ISBN: 1491912294

Category: Computers

Page: 606

View: 2181

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Learn how to use, deploy, and maintain Apache Spark with this comprehensive guide, written by the creators of the open-source cluster-computing framework. With an emphasis on improvements and new features in Spark 2.0, authors Bill Chambers and Matei Zaharia break down Spark topics into distinct sections, each with unique goals. You’ll explore the basic operations and common functions of Spark’s structured APIs, as well as Structured Streaming, a new high-level API for building end-to-end streaming applications. Developers and system administrators will learn the fundamentals of monitoring, tuning, and debugging Spark, and explore machine learning techniques and scenarios for employing MLlib, Spark’s scalable machine-learning library. Get a gentle overview of big data and Spark Learn about DataFrames, SQL, and Datasets—Spark’s core APIs—through worked examples Dive into Spark’s low-level APIs, RDDs, and execution of SQL and DataFrames Understand how Spark runs on a cluster Debug, monitor, and tune Spark clusters and applications Learn the power of Structured Streaming, Spark’s stream-processing engine Learn how you can apply MLlib to a variety of problems, including classification or recommendation
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Advanced Analytics Methodologies

Driving Business Value with Analytics

Author: Michele Chambers,Thomas W Dinsmore

Publisher: Pearson Education

ISBN: 0133498646

Category: Computers

Page: 336

View: 4189

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Advanced Analytics Methodologies is today's definitive guide to analytics implementation for MBA and university-level business students and sophisticated practitioners. Its expanded, cutting-edge coverage helps readers systematically "jump the gap" between their organization's current analytical capabilities and where they need to be. Step by step, Michele Chambers and Thomas Dinsmore help readers customize a complete roadmap for implementing analytics that supports unique corporate strategies, aligns with specific corporate cultures, and serves unique customer and stakeholder communities. Drawing on work with dozens of leading enterprises, Michele Chambers and Thomas Dinsmore provide advanced applications and examples not available elsewhere, describe high-value applications from many industries, and help you systematically identify and deliver on your company's best opportunities. They show how to: Go beyond the Analytics Maturity Model: power your unique business strategy with an equally focused analytics strategy Link key business objectives with core characteristics of your organization, value chain, and stakeholders Take advantage of game changing opportunities before competitors do Effectively integrate the managerial and operational aspects of analytics Measure performance with dashboards, scorecards, visualization, simulation, and more Prioritize and score prospective analytics projects Identify "Quick Wins" you can implement while you're planning for the long-term Build an effective Analytic Program Office to make your roadmap persistent Update and revise your roadmap for new needs and technologies This advanced text will serve the needs of students and faculty studying cutting-edge analytics techniques, as well as experienced analytics leaders and professionals including Chief Analytics Officers; Chief Data Officers; Chief Scientists; Chief Marketing Officers; Chief Risk Officers; Chief Strategy Officers; VPs of Analytics or Big Data; data scientists; business strategists; and many line-of-business executives.
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Customer Relationship Management

The Ultimate Guide to the Efficient Use of CRM

Author: SCN Education B.V.,Scn Education Bv

Publisher: Springer Science & Business Media

ISBN: N.A

Category: Business & Economics

Page: 406

View: 2025

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Companies need a new approach—customer relationship management, or CRM—to leverage the Web's unique strengths for capturing and publishing a single view of customers. How does it work? What is the best CRM strategy? Which companies have successfully implemented CRM in their business? This HOTT Guide defines CRM from different points of view: sales, marketing, customer support and technology. By presenting white papers on the technology, business cases, reports sharing the major trends occurring in the CRM marketplace, interviews with experts in the CRM-field, and a special chapter dedicated to the implementation of CRM in callcenters, the reader will have the most complete file on CRM possible at his disposition. This HOTT Guide is unique ready-to-use guide for any manager interested in optimizing the relationship with his customers, by using the newest technology The HOTT Guide series is intended for a professional business audience: Management, Marketing, Sales, System Integrating, CIOs, IT specialists and executive level. Customer Relationship Management is especially aimed at those concerned with customer management, marketing and measurement: marketers, callcenter, managers, data architectures, the sale force and service
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