Collaborating in the Data Jungle
In complex data environments such as those supported by many of Matrikon’s
customers, imbalances can be large and imposing. Refineries, for example,
have thousands of data points, any one of which could signal a condition
that calls for immediate attention. False readings, material losses,
incorrectly assigned variables and undetected trends can throw the
information picture for an entire facility into chaos.
Getting the information picture right is key. The goal is to create an
environment where workers are not scrambling to reconcile the past,
but have all their attention on the future.
Learn how to overcome data chaos by:
- improving data collection
- improving production calculations and balances
- keeping your business on target