Author : Kim H. Pries
Publisher : CRC Press
Page : 576 pages
File Size : 39,78 MB
Release : 2015-02-05
Category : Computers
ISBN : 1482234521
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
Author : Arvind Sathi
Publisher : Springer
Page : 220 pages
File Size : 45,41 MB
Release : 2017-03-15
Category : Business & Economics
ISBN : 1137386193
Data is transforming how and where we market to our customers. Using a series of case studies from pioneers, this book will describe how each marketing function is undergoing fundamental changes, and provides practical guidance about how companies can learn the tools and techniques to take advantage of marketing analytics.
Author : Peter C. Verhoef
Publisher : Routledge
Page : 337 pages
File Size : 49,5 MB
Release : 2021-11-07
Category : Business & Economics
ISBN : 1000465462
The key competing texts are practitioner-focused ‘how to’ guides, whilst our book combines rigorous theory with practical insight and examples, with authors from both the academic and business world, making it more adoptable as a student text; Unlike other books on the subject, this has a customer focus and an exploration of how big data can add value to customers as well as organisations; Enables readers to move from "big data" to "big solutions" by demonstrating how to integrate data analytics into specific goals and processes for implementation; Highly successful and well regarded both for students and practitioners
Author : Bill Schmarzo
Publisher : John Wiley & Sons
Page : 245 pages
File Size : 33,31 MB
Release : 2013-09-23
Category : Business & Economics
ISBN : 1118740009
Leverage big data to add value to your business Social media analytics, web-tracking, and other technologies help companies acquire and handle massive amounts of data to better understand their customers, products, competition, and markets. Armed with the insights from big data, companies can improve customer experience and products, add value, and increase return on investment. The tricky part for busy IT professionals and executives is how to get this done, and that's where this practical book comes in. Big Data: Understanding How Data Powers Big Business is a complete how-to guide to leveraging big data to drive business value. Full of practical techniques, real-world examples, and hands-on exercises, this book explores the technologies involved, as well as how to find areas of the organization that can take full advantage of big data. Shows how to decompose current business strategies in order to link big data initiatives to the organization’s value creation processes Explores different value creation processes and models Explains issues surrounding operationalizing big data, including organizational structures, education challenges, and new big data-related roles Provides methodology worksheets and exercises so readers can apply techniques Includes real-world examples from a variety of organizations leveraging big data Big Data: Understanding How Data Powers Big Business is written by one of Big Data's preeminent experts, William Schmarzo. Don't miss his invaluable insights and advice.
Author : Viktor Mayer-Schönberger
Publisher : Houghton Mifflin Harcourt
Page : 257 pages
File Size : 25,61 MB
Release : 2013
Category : Business & Economics
ISBN : 0544002695
A exploration of the latest trend in technology and the impact it will have on the economy, science, and society at large.
Author : Thomas Davenport
Publisher : Harvard Business Review Press
Page : 241 pages
File Size : 39,85 MB
Release : 2014-02-04
Category : Business & Economics
ISBN : 1422168174
Go ahead, be skeptical about big data. The author was—at first. When the term “big data” first came on the scene, bestselling author Tom Davenport (Competing on Analytics, Analytics at Work) thought it was just another example of technology hype. But his research in the years that followed changed his mind. Now, in clear, conversational language, Davenport explains what big data means—and why everyone in business needs to know about it. Big Data at Work covers all the bases: what big data means from a technical, consumer, and management perspective; what its opportunities and costs are; where it can have real business impact; and which aspects of this hot topic have been oversold. This book will help you understand: • Why big data is important to you and your organization • What technology you need to manage it • How big data could change your job, your company, and your industry • How to hire, rent, or develop the kinds of people who make big data work • The key success factors in implementing any big data project • How big data is leading to a new approach to managing analytics With dozens of company examples, including UPS, GE, Amazon, United Healthcare, Citigroup, and many others, this book will help you seize all opportunities—from improving decisions, products, and services to strengthening customer relationships. It will show you how to put big data to work in your own organization so that you too can harness the power of this ever-evolving new resource.
Author : Jim Lindell
Publisher : John Wiley & Sons
Page : 224 pages
File Size : 48,93 MB
Release : 2020-10-29
Category : Computers
ISBN : 1119784689
Why is big data analytics one of the hottest business topics today? This book will help accountants and financial managers better understand big data and analytics, including its history and current trends. It dives into the platforms and operating tools that will help you measure program impacts and ROI, visualize data and business processes, and uncover the relationship between key performance indicators. Key topics covered include: Evidence-based techniques for finding or generating data, selecting key performance indicators, isolating program effects Relating data to return on investment, financial values, and executive decision making Data sources including surveys, interviews, customer satisfaction, engagement, and operational data Visualizing and presenting complex results
Author : Bill Schmarzo
Publisher : John Wiley & Sons
Page : 314 pages
File Size : 44,29 MB
Release : 2015-12-11
Category : Computers
ISBN : 1119238846
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.
Author : James R. Kalyvas
Publisher : CRC Press
Page : 232 pages
File Size : 38,56 MB
Release : 2014-09-03
Category : Business & Economics
ISBN : 1466592389
Big Data: A Business and Legal Guide supplies a clear understanding of the interrelationships between Big Data, the new business insights it reveals, and the laws, regulations, and contracting practices that impact the use of the insights and the data. Providing business executives and lawyers (in-house and in private practice) with an accessible p
Author : Jose Antonio Ribeiro Neto
Publisher : Jose Antonio Ribeiro Neto
Page : 170 pages
File Size : 43,11 MB
Release : 2021-01-18
Category : Computers
ISBN :
Hi! Welcome to the book "Big Data for Executives and Market Professionals - Second Edition" Big Data is a technology "Moonshot," those that arise and change people's lives and their professional careers. This eBook is organized to summarize Big Data, Data Science, Analytics and Machine Learning, structuring knowledge, less technical, for a better understanding and rapid learning, demystifying and guiding Executives and Market Professionals on how to use Big Data on their favor, for greater professional success. It is the first stage to become interested in Big Data. Check the learning summary you take on this journey. - Introduction to Big Data and Data Science. Main Technologies applied to Big Data. Cloud technologies, systems, hardware, and software. - Hadoop Ecosystem and its importance to Big Data. The parallel programming paradigm of MapReduce to solve problems in Big Data. Data Lake, Data Warehouse, and ETL processes for Big Data. - Analytics Science and its derivations for Predictive and Big Data. Analytics Tools and their Big Data applications. Machine Learning (ML) and its relationship with Big Data. ML Applications for Big Data. Data Visualization introduction. - Professional careers in Big Data. Companies that created Big Data and adopted the technology. Big Data applications for social networks and the Internet of things. - Privacy and Governance in Big Data. Big Data and Data Science Influencers. How to be a Data Scientist. - Big Data for Executives. Big Data for Market Professionals. Big Data summary and general conclusions. Its implications for business and professional life. What goes on in this Second Edition? In this eBook Second Edition, we looked at the content and revised the texts for readability. The eBook includes more information to refresh the content. The new sections included are: Chapter 3 - Section 2 - Data is Files Chapter 7 - Section 5 - Success Case - Tesla Chapter 8 - Section 2 - GDPR and LGPD Privacy Chapter 10 - Section 6 - Edge Computing Chapter 10 - Section 7 - Digital Transformation Chapter 11 - Section 10 - The Spark Importance Chapter 16 - Section 7 - Big Data + Data Science + ML Chapter 18 - Section 4 - Analytics Translator Chapter 18 - Section 5 - Is it worth going for a new career?
