Grave Mistakes that Companies Make in Big Data Projects
Big Data helps enterprises capture the information using software. Do you know what are the mistakes that enterprises do while implementing Big Data Projects?
Ubiquitous in the contemporary industry, big data and analytics are being deployed by just about every organization to improve business outcomes. One of the primary purposes of big data implementation is to incorporate additional sets of data into the existing data infrastructure, so as to give companies the capability of questioning anything from the resulting data set.
But then, big data is not restricted to the mere handling of large volumes of data and there are certain common mistakes that enterprises need to avoid while implementing big data projects. This is to attain better decision support processes and analytical insights.