Resources, Whitepapers

Five best practices for big data and mining maintenance

Whether miners realise it or not, they know quite a lot about working with big data.

The knowledge and practices developed throughout the course of a mining career are surprisingly helpful when it comes to identifying useful data and applying it to produce better results.

Miners are inherently collaborative. They know how to approach tasks based upon situational context.

They have experience thinking of development from a long-term perspective. All of these are skills acquired from working in the mining industry, and it’s these very same skills that can be applied to utilising big data in order to promote technological change.

Dingo has identified five best practices for making use of big data in the mining industry.

  1. Develop systems and practices to extract maximum data value
  2. Distinguish big data from thick data
  3. Base data models on what you know, then build from there
  4. Break through organisational barriers
  5. Human touchpoints are critical for success

To find out more, download the eBook below.

Send this to a friend