Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Principles of Strategic Data Science PDF full book. Access full book title Principles of Strategic Data Science by Dr Peter Prevos. Download full books in PDF and EPUB format.
Author: Dr Peter Prevos Publisher: Packt Publishing Ltd ISBN: 1838985506 Category : Computers Languages : en Pages : 104
Book Description
Take the strategic and systematic approach to analyze data to solve business problems Key FeaturesGain detailed information about the theory of data scienceAugment your coding knowledge with practical data science techniques for efficient data analysis Learn practical ways to strategically and systematically use dataBook Description Principles of Strategic Data Science is created to help you join the dots between mathematics, programming, and business analysis. With a unique approach that bridges the gap between mathematics and computer science, this book takes you through the entire data science pipeline. The book begins by explaining what data science is and how organizations can use it to revolutionize the way they use their data. It then discusses the criteria for the soundness of data products and how to best visualize information. As you progress, you’ll discover the strategic aspects of data science by learning the five-phase framework that enables you to enhance the value you extract from data. The final chapter of the book discusses the role of a data science manager in helping an organization take the data-driven approach. By the end of this book, you’ll have a good understanding of data science and how it can enable you to extract value from your data. What you will learnGet familiar with the five most important steps of data scienceUse the Conway diagram to visualize the technical skills of the data science teamUnderstand the limitations of data science from a mathematical and ethical perspectiveGet a quick overview of machine learningGain insight into the purpose of using data science in your workUnderstand the role of data science managers and their expectationsWho this book is for This book is ideal for data scientists and data analysts who are looking for a practical guide to strategically and systematically use data. This book is also useful for those who want to understand in detail what is data science and how can an organization take the data-driven approach. Prior programming knowledge of Python and R is assumed.
Author: Steve Williams Publisher: Morgan Kaufmann ISBN: 0128094893 Category : Computers Languages : en Pages : 241
Book Description
Business Intelligence Strategy and Big Data Analytics is written for business leaders, managers, and analysts - people who are involved with advancing the use of BI at their companies or who need to better understand what BI is and how it can be used to improve profitability. It is written from a general management perspective, and it draws on observations at 12 companies whose annual revenues range between $500 million and $20 billion. Over the past 15 years, my company has formulated vendor-neutral business-focused BI strategies and program execution plans in collaboration with manufacturers, distributors, retailers, logistics companies, insurers, investment companies, credit unions, and utilities, among others. It is through these experiences that we have validated business-driven BI strategy formulation methods and identified common enterprise BI program execution challenges. In recent years, terms like "big data and "big data analytics have been introduced into the business and technical lexicon. Upon close examination, the newer terminology is about the same thing that BI has always been about: analyzing the vast amounts of data that companies generate and/or purchase in the course of business as a means of improving profitability and competitiveness. Accordingly, we will use the terms BI and business intelligence throughout the book, and we will discuss the newer concepts like big data as appropriate. More broadly, the goal of this book is to share methods and observations that will help companies achieve BI success and thereby increase revenues, reduce costs, or both. - Provides ideas for improving the business performance of one's company or business functions - Emphasizes proven, practical, step-by-step methods that readers can readily apply in their companies - Includes exercises and case studies with road-tested advice about formulating BI strategies and program plans
Author: James Martin Publisher: Prentice Hall ISBN: Category : Business & Economics Languages : en Pages : 260
Book Description
Textbook on methodology for the systems design of management information systems and information systems - stresses the need for top management involvement in decision making relating to the computerization of business enterprises, and includes a glossary of terms. Bibliography pp. 228 and 229 and diagrams.
Author: Bernard Marr Publisher: Kogan Page Publishers ISBN: 0749479868 Category : Business & Economics Languages : en Pages : 201
Book Description
BRONZE RUNNER UP: Axiom Awards 2018 - Business Technology Category Less than 0.5 per cent of all data is currently analyzed and used. However, business leaders and managers cannot afford to be unconcerned or sceptical about data. Data is revolutionizing the way we work and it is the companies that view data as a strategic asset that will survive and thrive. Data Strategy is a must-have guide to creating a robust data strategy. Explaining how to identify your strategic data needs, what methods to use to collect the data and, most importantly, how to translate your data into organizational insights for improved business decision-making and performance, this is essential reading for anyone aiming to leverage the value of their business data and gain competitive advantage. Packed with case studies and real-world examples, advice on how to build data competencies in an organization and crucial coverage of how to ensure your data doesn't become a liability, Data Strategy will equip any organization with the tools and strategies it needs to profit from Big Data, analytics and the Internet of Things (IoT).
Author: Dr Peter Prevos Publisher: Packt Publishing Ltd ISBN: 1838985506 Category : Computers Languages : en Pages : 104
Book Description
Take the strategic and systematic approach to analyze data to solve business problems Key FeaturesGain detailed information about the theory of data scienceAugment your coding knowledge with practical data science techniques for efficient data analysis Learn practical ways to strategically and systematically use dataBook Description Principles of Strategic Data Science is created to help you join the dots between mathematics, programming, and business analysis. With a unique approach that bridges the gap between mathematics and computer science, this book takes you through the entire data science pipeline. The book begins by explaining what data science is and how organizations can use it to revolutionize the way they use their data. It then discusses the criteria for the soundness of data products and how to best visualize information. As you progress, you’ll discover the strategic aspects of data science by learning the five-phase framework that enables you to enhance the value you extract from data. The final chapter of the book discusses the role of a data science manager in helping an organization take the data-driven approach. By the end of this book, you’ll have a good understanding of data science and how it can enable you to extract value from your data. What you will learnGet familiar with the five most important steps of data scienceUse the Conway diagram to visualize the technical skills of the data science teamUnderstand the limitations of data science from a mathematical and ethical perspectiveGet a quick overview of machine learningGain insight into the purpose of using data science in your workUnderstand the role of data science managers and their expectationsWho this book is for This book is ideal for data scientists and data analysts who are looking for a practical guide to strategically and systematically use data. This book is also useful for those who want to understand in detail what is data science and how can an organization take the data-driven approach. Prior programming knowledge of Python and R is assumed.
Author: Thomas J. Peters Publisher: Harper Collins ISBN: 0062263617 Category : Business & Economics Languages : en Pages : 404
Book Description
The "Greatest Business Book of All Time" (Bloomsbury UK), In Search of Excellence has long been a must-have for the boardroom, business school, and bedside table. Based on a study of forty-three of America's best-run companies from a diverse array of business sectors, In Search of Excellence describes eight basic principles of management -- action-stimulating, people-oriented, profit-maximizing practices -- that made these organizations successful. Joining the HarperBusiness Essentials series, this phenomenal bestseller features a new Authors' Note, and reintroduces these vital principles in an accessible and practical way for today's management reader.
Author: Mike Fleckenstein Publisher: Springer ISBN: 3319689932 Category : Computers Languages : en Pages : 269
Book Description
This book contains practical steps business users can take to implement data management in a number of ways, including data governance, data architecture, master data management, business intelligence, and others. It defines data strategy, and covers chapters that illustrate how to align a data strategy with the business strategy, a discussion on valuing data as an asset, the evolution of data management, and who should oversee a data strategy. This provides the user with a good understanding of what a data strategy is and its limits. Critical to a data strategy is the incorporation of one or more data management domains. Chapters on key data management domains—data governance, data architecture, master data management and analytics, offer the user a practical approach to data management execution within a data strategy. The intent is to enable the user to identify how execution on one or more data management domains can help solve business issues. This book is intended for business users who work with data, who need to manage one or more aspects of the organization’s data, and who want to foster an integrated approach for how enterprise data is managed. This book is also an excellent reference for students studying computer science and business management or simply for someone who has been tasked with starting or improving existing data management.
Author: Vincenzo Morabito Publisher: Springer ISBN: 3319106651 Category : Business & Economics Languages : en Pages : 202
Book Description
This book presents and discusses the main strategic and organizational challenges posed by Big Data and analytics in a manner relevant to both practitioners and scholars. The first part of the book analyzes strategic issues relating to the growing relevance of Big Data and analytics for competitive advantage, which is also attributable to empowerment of activities such as consumer profiling, market segmentation, and development of new products or services. Detailed consideration is also given to the strategic impact of Big Data and analytics on innovation in domains such as government and education and to Big Data-driven business models. The second part of the book addresses the impact of Big Data and analytics on management and organizations, focusing on challenges for governance, evaluation, and change management, while the concluding part reviews real examples of Big Data and analytics innovation at the global level. The text is supported by informative illustrations and case studies, so that practitioners can use the book as a toolbox to improve understanding and exploit business opportunities related to Big Data and analytics.
Author: WALLIS Publisher: BCS, The Chartered Institute for IT ISBN: 9781780175416 Category : Languages : en Pages : 200
Book Description
A well thought out, fit-for-purpose data strategy is essential to modern data-driven businesses. This book is a practical guide to planning, developing and implementing such a strategy, presenting a framework which takes you from data strategy definition to successful strategy delivery and execution with support and engagement from stakeholders. Key topics include data-driven business transformation, change enablers, benefits realisation and measurement. Case studies, example scenarios and reader questions throughout the book are designed to stimulate real-world thinking and help you put the framework into practice in the context of your own organisation.
Author: Erik Elgersma Publisher: Lid Publishing ISBN: 9781911498360 Category : Business cycles Languages : en Pages : 0
Book Description
This is an authoritative and practical guide to collecting, analysing and managing data, to enable managers and companies to develop successful business strategies. Data has become a dominant factor in today's business environment. This book, written by a leading practitioner, explains the underpinning nature of data for a company's business strategy. The book begins with data collection: getting data is no big deal; getting the right data to win in the market is. It moves on to data analysis: turning data into actionable intelligence is what drives and determines competitive advantage. And, finally, managing data: how to organise your data collection and analysis to create winning strategies. This is a definitive book about one of the most important topics in today's digital and data-driven economy.
Author: Dr Peter Prevos
Author: Steve Williams
Author: James Martin
Author: Bernard Marr
Author: Dr Peter Prevos
Author: James W. Cortada
Author: Thomas J. Peters
Author: Mike Fleckenstein
Author: Vincenzo Morabito
Author: WALLIS
Author: Erik Elgersma