After years of stagnation come sweeping changes in technologies, users, expectations. A new year and decade provide an occasion for predictions regarding the state of analytics in the process industries. After three decades of data generated by digitizing control systems, stored in historians, and imported from ad hoc analytics in spreadsheets, the static and past tense model for analytics is getting long in the tooth. The need for new and improved offerings to actually achieve insights will only become more acute because industry data volumes are accelerating. In fact, industry analyst IDC recently predicted that the average process manufacturing plant will generate and store much more data in 2025 as compared to today (figure 1).
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