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Welcome to SABLE Data Works |
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Saturday, 12 December 2009 |
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Welcome to the home page of SABLE Data Works. SABLE provides data warehousing solutions based on South African-built technology.
Find out about our main product, SABLE Data Warehouse, a data capture and database management system, its applications, and the vision that has driven us to be an innovative and effective service provider to the mining industry for over 25 years.
Check up on the latest news on our software and activities. We will soon be releasing SABLE 6G to the market!
Contact us using e-mail or telephone for support or queries.
Existing users can visit our support pages to download new versions, participate in discussion forums and search our interactive knowledge base.
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SABLE Data Warehouse 2.1.13 released |
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Tuesday, 27 July 2010 |
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SABLE Data Works has just released the latest version of its premier software product, SABLETM Data
Warehouse. As we move towards the upcoming major version SABLE 6G, this
maintenance release includes a number of features geared towards
improving the user’s experience during data capture and validation.
To download, log in and click through to Support Centre - Downloads - SABLE Data Warehouse.
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Data Integrity for Geologists: Presentation at Geologist's Basic Skills Conference |
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Wednesday, 24 March 2010 |
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Geoscientific data, derived from activities such as field sampling, core or chip logging and face mapping, is the foundation for geological and financial evaluation of ore bodies, mine design and the daily decision-making on an operational mine.
Thus it is critical that the capture and management of such data, a task often assigned to inexperienced geologists, is done with due attention to maintaining its integrity and providing quality assurance.
This is best done by
- Adopting, and adhering to, an appropriate logging standard that emphasises the classification of primary evidence as distinct from its interpretation.
- Introducing data correctness and completeness checks as early as possible to identify problems while there is still opportunity to fix them.
- Implementing a practical data life cycle to minimise risk of data loss, prevent version control problems and manage complexity.
- Using appropriate tools to collect and manage data in an audible and transparent fashion.
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