Making Data Fit for Purpose

SCORING BIG ON INSIGHT FROM EFFECTIVE DATA CLEANSING AND CONTEXTUALIZATION

When it comes to time-series data, there is no shortage of options. Cloud-based, data-lake, open source, and historians are all readily available solutions for data storage, along with lower prices for sensors (data creation), and wired or wireless offerings for data aggregation. This creates an immense opportunity for operations to leverage the data created by their processes and assets, but also leaves a gap which is commonly referred to as being data rich, and information poor (DRIP). Read More