Big Data: Understanding How Data Powers Big Business

Schmarzo, Bill

ISBN 10: 1118739574 / ISBN 13: 9781118739570

Verlag: Wiley, 2013

Bestandsnummer des Verkäufers 1118739574-4-36154537

Inhaltsangabe:

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.

Über die Autorin bzw. den 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.

Bibliografische Details

Titel: Big Data: Understanding How Data Powers Big ...
Verlag: Wiley
Erscheinungsdatum: 2013
Einband: paperback
Zustand: Fair