Resultados para "Big data" en Negocios y profesiones

¿Por qué hay empresas que tienen graves problemas para conseguir clientes mientras otras facturan como locas, sirviendo lo que su público necesita en todo momento? ¡No es magia!, se trata de tener un plan y de saber hacer las cosas estratégicamente, pero hay algo más... Lo que aprenderás a continuación es lo que muchos expertos no quieren que sepas, incluso nos han pedido que no lancemos este producto. Esta será tu herramienta para quitarte a tu competencia del medio, llevar tu empresa al siguiente nivel y que tu público compre tus productos como pan caliente.

¿Estás utilizando inteligentemente toda la data recopilada y almacenada? En un escenario de feroces transformaciones digitales, debemos ser capaces de ayudar a nuestras organizaciones a salir airosas de estos cambios y ser competentes al desarrollar empresas basadas en datos (data driven). No se trata de trabajar con hojas de cálculo u otros mecanismos tradicionales, sino de emplear una gestión eficaz de los datos que genere enormes beneficios para las instituciones y para todo aquel que emprenda en el mundo de hoy.

Un'invisibile nuvola ci avvolge. Sono i dati e le informazioni che scambiamo online, un flusso continuo che qualcuno raccoglie, elabora e scambia. È vero che grazie ai big data accediamo a servizi sempre più ritagliati sulle nostre necessità, ma ogni nostra mossa, ogni acquisto, ogni comunicazione, ogni nostro momento pubblico e privato è osservato. Di ciascuno di noi esiste da qualche parte nell'etere un profilo. Utile a chi vuole influenzare le nostre scelte, di consumo ma anche politico-elettorali. E magari a chi vorrà approfittare delle nostre debolezze e dei nostri segreti.

Author Martin Kleppmann helps you navigate the diverse data landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications.

In our age of accelerating progress in so many fields, it’s easy to lose sight of the underlying innovation that makes the data analytics revolution possible. These 24 lectures introduce you to the key concepts, methods, and accomplishments of this versatile approach to problem solving. You need no expertise in mathematics to follow this exciting story. Tim Chartier, professor of mathematics and computer science, explains the basic computational techniques used in data analytics, but his focus is on how these ideas are applied and the amazing results they achieve.

Information is power, and the time is now for digital liberation. Access Rules mounts a strong and hopeful argument for how informational tools at present in the hands of a few could instead become empowering machines for everyone. By forcing data-hoarding companies to open access to their data, we can reinvigorate both our economy and our society. Authors Viktor Mayer-Schönberger and Thomas Ramge contend that if we disrupt monopoly power and create a level playing field, digital innovations can emerge to benefit us all.

Predictive Marketing is a predictive analytics primer for organizations large and small, offering practical tips and actionable strategies for implementing more personalized marketing immediately. The marketing paradigm is changing, and this book provides a blueprint for navigating the transition from creative- to data-driven marketing, from one-size-fits-all to one-on-one, and from marketing campaigns to real-time customer experiences.

The world of marketing is undergoing major change. Sophisticated algorithms can test billions of marketing messages and measure results, and shift the weight of campaigns - all in real time. What’s next? A complete transformation of marketing as we know it, where machines themselves design and implement customized advertising tactics at virtually every point of digital contact. 

In this book, Michael Smith and Rahul Telang, experts on entertainment analytics, show how the success of House of Cards upended the film and TV industries - and how companies like Amazon and Apple are changing the rules in other entertainment industries, notably publishing and music. We're living through a period of unprecedented technological disruption in the entertainment industries.

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IT業界では、2011年～12年は「クラウド化」、12～13年はそれに加えて「ビッグデータ」がテーマだという。「ビッグデータ」とは何なのか。どう使うのか。

　スマートフォンやSNSの普及に伴い、そこから集まる口コミや購入・行動履歴などの情報が急増している。サーバーの能力向上によって、その膨大なデータを保存し、分析することが可能になった。今この「ビッグデータ」によって、マーケティング、製品開発、防災などが変わりつつある。これまで、IT投資はコスト削減に使われることが多かったが、ビッグデータは売上高を伸ばすために活用できる。多くの企業が注目する理由も、そこにある。

　では、先進企業はどのように活用しているのか。本書では、小売り、外食などの実例を見ながら、導入する企業側の目線でビッグデータを考える。

You can say goodbye to today's Internet, New York Times best-selling author George Gilder says. Soon the current model of aggregated free content populated with "value-subtracted" advertising will die a natural deat. In Life After Google, Gilder takes listeners on a brilliant, rocketing journey into the very near-future, into an Internet with a new "bitcoin-bitgold" transaction layer that will replace spam with seamless micro-payments and provide an all-new standard for global money.