Add to ORKGFirms are attempting to more effectively exploit big data gathered from different sources to increase data diagnosticity. However, with the huge volume of generated data, the large variety of heterogeneous data, and the fast velocity of arriving data, the quality of data is far from perfect which may decrease data diagnosticity within firms. This research-in-progress study draws on the Active Learning Theory, Information Retrieval Interaction Model, and Wang and Strong’s data quality framework to investigate the impact of bigness of data on firm data diagnosticity and explore the mediating role of data quality. The results will be achieved using a combination of qualitative and quantitative methods. Potential contributions to theory and pra...
High-quality data is a prerequisite for most types of analysis. However, since data quality does not...
International audienceFirms adopt Big data solutions, but a body of evidence suggests that Big data ...
Big data has been acknowledged for its enormous potential. In contrast to the potential, in a recent...
Although there has been much research interest into how big data lies at the heart of managerial dec...
Despite significant academic and managerial interest in big data, there is a dearth of research on h...
Big data analytics have become an increasingly important component for firms across advanced economi...
Purpose: Big data analytics (BDA) gets all the attention these days, but as important-and perhaps ev...
Today’s financial service organizations have a data deluge. A number of V’s are often used to charac...
The increased reliance on data driven enterprise has seen an unprecedented investment in big data in...
This article investigates the evolution of data quality issues from traditional structured data mana...
International audienceToday’s financial service organizations have a data deluge. A number of V’s ar...
Big data analytics have become an increasingly important component for firms across advanced economi...
Purpose: Big data analytics (BDA) increasingly provide value to firms for robust decision making and...
Big data has made its appearance in many fields, including scientific research, business, public adm...
The Data Warehousing Institute (TDWI) estimates that data quality problems cost U.S. businesses more...
High-quality data is a prerequisite for most types of analysis. However, since data quality does not...
International audienceFirms adopt Big data solutions, but a body of evidence suggests that Big data ...
Big data has been acknowledged for its enormous potential. In contrast to the potential, in a recent...
Although there has been much research interest into how big data lies at the heart of managerial dec...
Despite significant academic and managerial interest in big data, there is a dearth of research on h...
Big data analytics have become an increasingly important component for firms across advanced economi...
Purpose: Big data analytics (BDA) gets all the attention these days, but as important-and perhaps ev...
Today’s financial service organizations have a data deluge. A number of V’s are often used to charac...
The increased reliance on data driven enterprise has seen an unprecedented investment in big data in...
This article investigates the evolution of data quality issues from traditional structured data mana...
International audienceToday’s financial service organizations have a data deluge. A number of V’s ar...
Big data analytics have become an increasingly important component for firms across advanced economi...
Purpose: Big data analytics (BDA) increasingly provide value to firms for robust decision making and...
Big data has made its appearance in many fields, including scientific research, business, public adm...
The Data Warehousing Institute (TDWI) estimates that data quality problems cost U.S. businesses more...
High-quality data is a prerequisite for most types of analysis. However, since data quality does not...
International audienceFirms adopt Big data solutions, but a body of evidence suggests that Big data ...
Big data has been acknowledged for its enormous potential. In contrast to the potential, in a recent...