Stratégie Big Data

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Author : Thomas Davenport
Genre : Business & Economics

Summary : Le phénomène Big Data bouleverse l'univers économique. Rien qu’en 2012, plus de 2,8 zettaoctets (des milliards de gigaoctets !) de volumes de données auraient été échangés ! Seules les entreprises capables de comprendre et de maîtriser une telle quantité de données dans leur complexité prendront l’avantage. Car au-delà du volume, ce qui va être décisif, est la capacité à structurer, analyser et transformer des données en connaissances, en innovations et en valeurs commerciales pour l’organisation. Au-delà du buzz qu’il génère, quelles applications concrètes le Big Data peut-il apporter au monde des affaires ? Comment mettre en place une stratégie Big Data dans l’entreprise et comment tirer profit de cette puissante ressource ? Cet ouvrage permet d’identifier les atouts du Big Data et montre notamment comment : • améliorer la prise de décision • consolider les relations client • créer de la valeur ajoutée • enrichir l’expérience utilisateur • amplifier le retour sur investissement • réduire les coûts et les temps de réalisation • développer de nouvelles offres Un guide pratique enrichi de nombreux cas concrets (Google, LinkedIn, eBay, Amazon, GE, UPS) et de plans d’action, qui permettra à tous les managers de tirer parti de cette formidable opportunité.

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Author : Steve Williams
Genre : Computers

Summary : 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

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Author : Carlos Cordon
Genre : Business & Economics

Summary : This book presents strategies and practices to allow everyday companies to cope with the fundamentally changing landscape of business models and to take advantage of the huge business opportunities arising from the advent of big data. It develops several case studies from companies in traditional industries like LEGO, Yamato and Mediq, but also examines small start-ups like Space Tango, which is partnering with major multinationals to develop new business models using big data. The book argues that businesses need to adapt and embark on their big data journey, helps them take the first step, and guides them along their way. It presents successful examples and deducts essential takeaway lessons from them, equipping executives to capitalize on big data and enabling them to make intelligent decisions in the big data transformation, giving their companies an essential competitive edge.

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Author : Romain Rissoan
Genre :

Summary : Depuis 2012, la notion de Big Data ne cesse de se populariser, reflétant la réalité des entreprises confrontées à une masse de données croissante, qui représentent une enjeu commercial et marketing. Comment récolter ces données ? Comment les traiter et les analyser ? Quels outils techniques mettrent en place ? Comment s'en servir ensuite ? Comment les monétiser et les rentabiliser ? Telles sont les questions auxquelles répond cette boîte à outils concrète et pratique.

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Author : Bernard Marr
Genre : Business & Economics

Summary : 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).

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Author : Bill Schmarzo
Genre : Computers

Summary : 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.

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Author : John F. Tanner, Jr.
Genre : Business & Economics

Summary : Key decisions determine the success of big data strategy Dynamic Customer Strategy: Big Profits from Big Data is a comprehensive guide to exploiting big data for both business-to-consumer and business-to-business marketing. This complete guide provides a process for rigorous decision making in navigating the data-driven industry shift, informing marketing practice, and aiding businesses in early adoption. Using data from a five-year study to illustrate important concepts and scenarios along the way, the author speaks directly to marketing and operations professionals who may not necessarily be big data savvy. With expert insight and clear analysis, the book helps eliminate paralysis-by-analysis and optimize decision making for marketing performance. Nearly seventy-five percent of marketers plan to adopt a big data analytics solution within two years, but many are likely to fail. Despite intensive planning, generous spending, and the best intentions, these initiatives will not succeed without a manager at the helm who is capable of handling the nuances of big data projects. This requires a new way of marketing, and a new approach to data. It means applying new models and metrics to brand new consumer behaviors. Dynamic Customer Strategy clarifies the situation, and highlights the key decisions that have the greatest impact on a company's big data plan. Topics include: Applying the elements of Dynamic Customer Strategy Acquiring, mining, and analyzing data Metrics and models for big data utilization Shifting perspective from model to customer Big data is a tremendous opportunity for marketers and may just be the only factor that will allow marketers to keep pace with the changing consumer and thus keep brands relevant at a time of unprecedented choice. But like any tool, it must be wielded with skill and precision. Dynamic Customer Strategy: Big Profits from Big Data helps marketers shape a strategy that works.