Take A Dip in the Data Pool
Do you have the instincts to navigate the difficult waters of manufacturing analytics? Answer the following questions to find out.
Why is normalization important when analyzing data from different manufacturing systems?
It helps reduce the dimensionality of data
It helps standardize data units and formats
It minimizes the risk of data redundancy
It improves data visualization quality
Back
Next
Predictive Analytics can be defined as the suggested course of action based on the organization's goals and values.
True
False
Back
Next
The focus of a Unified Namespace (UNS) is to identify, consolidate, and exchange real-time data in a central location.
True
False
Back
Next
Which key performance indicator (KPI) is most commonly used to measure overall equipment efficiency?
Cycle time
OEE
Availability
Mean Time Between Failures
Back
Next
The job of a Unified Analytics Framework (UAF) is to extend the UNS and allow access to historic time series and transactional data sources.
True
False
Back
Next
What is the main advantage of using time series historians in manufacturing analytics?
They simplify data extraction
They compress non-essential data
They handle high-velocity, time-stamped data efficiently
They record and structure multiple transactions
Back
Next
What is the Yield % for the entire three week period?
Engineering unit of % is assumed
Back
Next
Assuming current time is 14:00, what is the time weighted average for the day thus far?
Engineering unit of GPM is assumed
Back
Next
During the 8 o'clock hour, what was the minimum value?
Engineering unit of feet is assumed
Back
Next
First Name
*
Last Name
*
Email
*
Go For Gold in the 2024 Data Olympics!
Thank you for participation. Correct answers along with explainations will be sent to all participants Thursday afternoon. Anyone who score 100% will be entered for a chance to win a portable ASUS monitor. Drawing to be conducted at noon on Thursday, must be present to win.
Submit
Lead Source
User Group - ICC
Should be Empty: