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The mineral exploration industry is poised to extract more value from its datasets, from historical data to large modern digital datasets, but can be limited by its capacity to properly design and implement a data management strategy. As the industry transitions from traditional hardcopy to digital, there is an excellent opportunity for companies to implement proper data management practices and gain a significant competitive advantage.
This is the second of a two-part series on information management in exploration. The course will involve hands-on practical data analysis and reporting techniques that build on the data management practices covered in part one of this series. Participants will utilize real-world exploration data and software to review advanced data analysis techniques covering internal data audits, exploratory data analysis and reporting.
- Data Management Best Practices (0.5 hrs)
- Review of key concepts covered in the previous course (MDRU SC 106)
- Analysis of a Standard Exploration Data Set (1.5 hrs)
- Developing a systematic approach to cataloguing and analyzing your existing dataset in order to develop an efficient workflow for your team
- Relational Database Theory (1 hrs)
- Key concepts required to manage a database
- Database Implementation (2 hrs)
- Hands-on exercise designing and building your database
- Querying Your Data (1.5 hrs)
- Harnessing the power of queries to get the most out of your data
- Viewing your Data (1 hrs)
- Visualizing and analyzing your data through database connections