The phrase "a greater amount of data" is correct and usable in written English.
It can be used when discussing the quantity of data in a comparative context, often to emphasize an increase or larger volume of information.
Example: "In this study, we found that a greater amount of data leads to more accurate predictions."
Alternatives: "a larger volume of data" or "an increased quantity of data."
Although the final dataset remains temporally and spatially sparse on a global level, certain regions contain a greater amount of data points for certain time periods.
More recent studies on the topic focused on recognizing personality from a greater amount of data sources covering human interactions.
However, the original discoverers of 581g have now published an analysis using a greater amount of data to provide more promising evidence for its existence.
At GridGlo, we're using a deeper level of analytics, though, and handling a greater amount of data — 1,300 criteria to start — than any other companies in the energy space.
Modern databases serve as digital libraries for research, with data archived at multiple levels and sophisticated search and analysis tools that allow users to find, visualize, and analyze a greater amount of data than ever before.
Part of this is down to audiences — Facebook is now at well over 1 billion users and will soon cross 1 billion on mobile alone — and part is down to the rise of ad tech, which not only lets brands and businesses have more control over what they buy and where it's being seen, but also provides a greater amount of data to be able to measure the impact that their marketing investments are having.
He returned to St . Petersburgin 1774 with a great amount of data and many fossil specimens, but he had ruined his health.
Smart cities' portals offer a great amount of data that can be used by the private and public entities to create new services.
Statistical data analysis, through the utilization of experimental design, is a powerful tool commonly used in different areas where uncertainty is a problem, and a great amount of data is available for the analysis.
Microarray technology provides a great amount of data requiring analysis, and the use of new intelligent algorithms that identify the relevant information for the classification process has become essential.
