Big Data (eBook)

Understanding How Data Powers Big Business

Bill Schmarzo (Autor)

eBook Download: EPUB

2013 | 1. Auflage
240 Seiten
John Wiley & Sons (Verlag)
978-1-118-74000-2 (ISBN)

Infos

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.

Autor

Bill Schmarzo is the Chief Technology Officer for EMC Global Services' Enterprise Information Management & Analytics service line. Nicknamed the Dean of Big Data, he is responsible for setting strategy for EMC's big data consulting business. He created the Business Benefits Analysis methodology and has served on the faculty of The Data Warehouse Institute.

Produkt-Details

• Erscheint lt. Verlag: 23.9.2013
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Informatik ► Datenbanken
• Themenwelt: Mathematik / Informatik ► Informatik ► Netzwerke
• Themenwelt: Wirtschaft ► Betriebswirtschaft / Management ► Unternehmensführung / Management
• Schlagworte: Business & Management • Business Technology • Computer Science • Database & Data Warehousing Technologies • Datenbanken u. Data Warehousing • Informatik • Unternehmenstechnologie • Wirtschaft u. Management
• ISBN-10: 1-118-74000-9 / 1118740009
• ISBN-13: 978-1-118-74000-2 / 9781118740002