Exploitation of Big Data Analysis for innovation process

No Thumbnail Available
Author (Corporation)
Publication date
2017
Typ of student thesis
Master
Course of study
Type
11 - Student thesis
Editors
Editor (Corporation)
Parent work
Special issue
DOI of the original publication
Link
Series
Series number
Volume
Issue / Number
Pages / Duration
Patent number
Publisher / Publishing institution
Hochschule für Wirtschaft FHNW
Place of publication / Event location
Olten
Edition
Version
Programming language
Assignee
Practice partner / Client
Abstract
The rapid evolution of Big data that contains a wide variety of data, can provide a new way of understanding customer needs and wants. And this could offer potential opportunities to enhance value and accelerate the innovation process. Continuous improvements in data analysis tools and techniques can reveal new ideas, and novel patterns from the Big data and supports for an efficient decision making, a crux of innovation process. There are several usages of Big data analysis tools and techniques, but these techniques are not mapped to different phases of the innovation process. Thus, a systematic literature review potentially reveals all available data analysis tools and techniques that can be mapped to different phases of the innovation process. Further, the identified and relevant data analysis tool and techniques can be applied to accelerate the innovation process in different sectors.
Keywords
Subject (DDC)
330 - Wirtschaft
Project
Event
Exhibition start date
Exhibition end date
Conference start date
Conference end date
Date of the last check
ISBN
ISSN
Language
English
Created during FHNW affiliation
Yes
Strategic action fields FHNW
Publication status
Review
Open access category
License
Citation
BHAVANA, Sreeramaiah, 2017. Exploitation of Big Data Analysis for innovation process. Olten: Hochschule für Wirtschaft FHNW. Verfügbar unter: https://irf.fhnw.ch/handle/11654/39915