Big Data and Digital Business Evaluation

Vincenzo Morabito ()
Additional contact information
Vincenzo Morabito: Bocconi University

Chapter Chapter 6 in Big Data and Analytics, 2015, pp 105-123 from Springer

Abstract: Abstract The advances in data and processing technology has radically changed the way today’s digital business operates. Big data technology provides analytics tools that allow digital businesses to identify useful insights about their customers and create products to meet their customer’s requirements. However, digital businesses working with big data technology face various challenges including the data acquisition, the storage space and the evaluation of the data as well as the right choices of the big data applications and the infrastructures. This review will explore digital business evaluation using big data and the advantages as well as the challenges of big data technology in digital business.

Keywords: Business Model; Cloud Service; Customer Segmentation; Recommendation Engine; Storage Rack (search for similar items in EconPapers)
Date: 2015
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-10665-6_6

Ordering information: This item can be ordered from
http://www.springer.com/9783319106656

DOI: 10.1007/978-3-319-10665-6_6

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().