The phrase "analysis of huge amounts" is correct and usable in written English.
It can be used when discussing the examination or evaluation of large datasets or quantities of information.
Example: "The analysis of huge amounts of data revealed significant trends in consumer behavior."
Alternatives: "examination of large volumes" or "evaluation of extensive data".
Is there a way of looking at analysis of huge amounts of data in which you don't have to build a giant new factory from scratch each time?
The Financial Conduct Authority (FCA) has launched a preliminary study of how "big data" – the rapid collection and analysis of huge amounts of digital information – is affecting product choice for consumers and whether it reduces competition in the sector.
The only sections that substantially add to our understanding of the campaign are those chronicling, in minute detail, the Obama team's creation of a sophisticated operation for reaching out to potential supporters and getting out the vote — an operation that combined impressive ground troops with the digital analysis of huge amounts of data.
Spatial data mining has become a popular and powerful means for complex analysis of huge amounts of geo-referenced data.
To cope with the collection and analysis of huge amounts of neurological data a new discipline is emerging, combining the knowledge of neuroscientists and computer scientists.
Founded in 1977 as a boutique providing information security services to U.K. defense customers, Detica specializes today in business intelligence the analysis of huge amounts of data to weed out fraud, manage risk and gain competitive advantage.
A data warehouse is intended as a tool to allow analysis on huge amounts of historical data.
Big pharma, biotech, and software companies are clamoring to hire professionals with experience in bioinformatics and the identification, compilation, analysis, and visualization of huge amounts of biological and health care information.
The application of DNA microarray technology in post-genomic analysis of bacterial genome sequences has allowed the generation of huge amounts of data related to regulatory networks.
In the past decades, advances in high-throughput technologies have led to the generation of huge amounts of biological data that require analysis and interpretation.
At the core of smart cities are the collection, management, analysis and visualisation of huge amount of data that is generated every minute in an urban environment due to socioeconomic, anthropogenic or natural environmental events or other activities.
