Wk 2 - Digital Transformation in Mining Flashcards
What is increasingly being stored with the rise of automation
lots of data
~ 2.5 Terabytes of data per day
What skills are needed as operations become more technologically advanced
*operations centre
*networking technologies
*mechatronics technologies
*collaboration technologies
*visualisation & simulation technologies
*logic software
*database and data fusion technologies
*sensor technologies
How much of the data collected is currently used
approximately 1%
What does data lead to
data > information > insight
What are key questions addressed by analytics over time
Past:
Information - what happened (reporting)
insight - how and why it happened (root cause)
Present:
Information - what is happening (alerts)
insight - next best action (recommendation)
Future:
information - what will happen (forecasts)
insight - what worst/best case (prediction)
What are the components to the ideal team
*analytics skills
*domain and context knowledge
*data access and IT capability
What are the 4 categories of preparedness requirements
*people
*processes
*systems
*data
what does data mining show
connections between data sources and should be used sparingly as it contains very very large data sets taking days to calculate
What are the stages of focused analytics
- define
- collect
- clean
- explore (information)
- visualise
- intergrate (other data)
- advanced analysis (insight)
Practice example
pending
What can data analytics be targeted at
*process analytics (machine health and performance)
*logistics integration
*enterprise integration
What are the three desparate skill sets that data analytics requires
*modelling
*domain expertise
*it connectivity
What approach is best suited to data analytics teams
collaborative multidisciplinary
