TY - GEN
T1 - Prospects of big data driven innovation in enterprises
AU - Victor, Vijay
AU - Maria, Fekete Farkas
N1 - Publisher Copyright:
© 2018 Elsevier Ltd. All rights reserved.
PY - 2018
Y1 - 2018
N2 - In the digital information age, big data-driven innovation has become one of the major engines of growth in many respects. This paper studies the prospects of applying data-driven innovations to boost business efficiency and agility. The modern competitive world reckons information as the new oil. To business world, data is the inestimable source of insights which facilitates business expansion through precise forecasting and decision making. The aim of this paper is to figure out the potential applications of data driven innovation in enterprises and to develop a general framework that enables data driven innovation possible within them. With the advent of big data analytics, enterprises are now able to use the enormous amounts of data at their disposal to frame and optimise their business strategies. A data-driven digital transformation would help the enterprises to deal with the existing business impediments and to explore novel business ideas and opportunities. Big data analytics also helps in unveiling the imperceptible trends, patterns and correlations which are too subtle to be discried. This paper throws light on how big data drives innovation in enterprises and the challenges faced by enterprises in making the most use of big data.
AB - In the digital information age, big data-driven innovation has become one of the major engines of growth in many respects. This paper studies the prospects of applying data-driven innovations to boost business efficiency and agility. The modern competitive world reckons information as the new oil. To business world, data is the inestimable source of insights which facilitates business expansion through precise forecasting and decision making. The aim of this paper is to figure out the potential applications of data driven innovation in enterprises and to develop a general framework that enables data driven innovation possible within them. With the advent of big data analytics, enterprises are now able to use the enormous amounts of data at their disposal to frame and optimise their business strategies. A data-driven digital transformation would help the enterprises to deal with the existing business impediments and to explore novel business ideas and opportunities. Big data analytics also helps in unveiling the imperceptible trends, patterns and correlations which are too subtle to be discried. This paper throws light on how big data drives innovation in enterprises and the challenges faced by enterprises in making the most use of big data.
UR - https://www.scopus.com/pages/publications/85060824118
UR - https://www.scopus.com/pages/publications/85060824118#tab=citedBy
M3 - Conference contribution
AN - SCOPUS:85060824118
T3 - Proceedings of the 31st International Business Information Management Association Conference, IBIMA 2018: Innovation Management and Education Excellence through Vision 2020
SP - 4503
EP - 4510
BT - Proceedings of the 31st International Business Information Management Association Conference, IBIMA 2018
A2 - Soliman, Khalid S.
PB - International Business Information Management Association, IBIMA
T2 - 31st International Business Information Management Association Conference: Innovation Management and Education Excellence through Vision 2020, IBIMA 2018
Y2 - 25 April 2018 through 26 April 2018
ER -