Harnessing The Power Of Multivariate Analytics
Source: Seeq Corporation
Chemical companies that aren’t tapping into multivariate analytics are likely working with compressed sources of data. This information tends to omit key features because legacy data processing tools often compress data, and historical analysis tools (namely spreadsheets) force them to down sample or aggregate data (hourly or daily) as opposed to processing the raw data frequency due to row and memory limitations. As a result, chemical plant managers are missing many opportunities for process optimization and the proactive nature of predictive and prescriptive diagnostics.
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