Big data analytics (BDA) and strategies for implementing BDA have received attention among researchers and practitioners alike. However, success stories pertaining to the implementation of BDA remain scarce. The notion of the BDA deployment gap describes the chasm between the attributed value potential of BDA and its actual value realization in organizational practice. Several research articles indicate challenges encountered in implementing BDA but lack a comprehensive systematization of BDA implementation-related challenges. This research article aims to systematize those challenges through a systematic literature review. As a result, we derived five overarching challenge dimensions related to the BDA implementation. Based on this systema...
Extremely large data sets that may be analysed, computationally to reveal patterns, trends, and asso...
Selection of appropriate big data analytics (BDA) tools (software) for business purposes is increasi...
Driven by increasing amounts of data and by emerging technologies to store and analyze them, compani...
The benefits of Big Data Analytics (BDA) are substantial in instances where organisations manage to ...
Big Data Analytics (BDA) is evolving as an essential topic for researchers and practitioners due to ...
While the amount of data keeps growing, managers ask themselves whether they already retrieve full v...
AbstractBig Data (BD), with their potential to ascertain valued insights for enhanced decision-makin...
Big Data (BD), with their potential to ascertain valued insights for enhanced decision-making proces...
YesBig Data (BD), with their potential to ascertain valued insights for enhanced decision-making pro...
Big data analytics (BDA) readiness factors have been widely researched; nevertheless, few have inves...
Due to the popularity and complexity of Big Data Analytics (BDA), numerous articles have been publis...
The phenomenon called Big Data (BD) refers to the presence of large amounts of data that are both st...
Organizations invest significantly in Big Data Analytics (BDA), but only limited knowledge is availa...
Big data analytics (BDA) has the potential to provide firms with competitive benefits. Despite its m...
Big data analytics (BDA) has emerged as an important area of study for both academics and practition...
Extremely large data sets that may be analysed, computationally to reveal patterns, trends, and asso...
Selection of appropriate big data analytics (BDA) tools (software) for business purposes is increasi...
Driven by increasing amounts of data and by emerging technologies to store and analyze them, compani...
The benefits of Big Data Analytics (BDA) are substantial in instances where organisations manage to ...
Big Data Analytics (BDA) is evolving as an essential topic for researchers and practitioners due to ...
While the amount of data keeps growing, managers ask themselves whether they already retrieve full v...
AbstractBig Data (BD), with their potential to ascertain valued insights for enhanced decision-makin...
Big Data (BD), with their potential to ascertain valued insights for enhanced decision-making proces...
YesBig Data (BD), with their potential to ascertain valued insights for enhanced decision-making pro...
Big data analytics (BDA) readiness factors have been widely researched; nevertheless, few have inves...
Due to the popularity and complexity of Big Data Analytics (BDA), numerous articles have been publis...
The phenomenon called Big Data (BD) refers to the presence of large amounts of data that are both st...
Organizations invest significantly in Big Data Analytics (BDA), but only limited knowledge is availa...
Big data analytics (BDA) has the potential to provide firms with competitive benefits. Despite its m...
Big data analytics (BDA) has emerged as an important area of study for both academics and practition...
Extremely large data sets that may be analysed, computationally to reveal patterns, trends, and asso...
Selection of appropriate big data analytics (BDA) tools (software) for business purposes is increasi...
Driven by increasing amounts of data and by emerging technologies to store and analyze them, compani...