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SABLE Data Warehouse 2.1.13 released Print E-mail
Tuesday, 27 July 2010

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.

 


SABLETM Data Warehouse CORE 2.1.13 – Improvements

Data Explorer colours and fonts

It is now possible to set unique colours and fonts for both column labels/headers and backgrounds. This can be used to

  • Highlight specific field properties (keys, mandatory, etc), or important fields
  • Group similar fields (e.g. X, Y and Z coordinates)
  • Make the interface more friendly and easy to understand
Customised column colours

Validations

“What are you doing, Dave?”
SABLE Data Warehouse has always given you unmatched flexibility to create validations to check for data completeness and correctness. This is now supplemented by customised error and warning messages, allowing you to make these all the more relevant to your project.
Validation errors
“Always keep it real…”
Some new validation check types have also been added. One of the most useful, the Math Expression Check, allows you to assert a relationship between one or two mathematical expressions which, if not true, triggers an error or a warning.
“And remember, I’m watching you”
Validation reports can be exported to text files for statistical purposes. A new validation certificate is in the pipeline too.
 

Help

A comprehensive context-sensitive help has been added with this release, which includes
  • Menu-by-menu descriptions of functions
  • Detailed how-to’s for setting up complex features such as User Security.
  • Integration with our online knowledge base for accessing reference documents

SABLE Help screenshot

 

Coal Analysis and Beneficiation (CAB) module 2.2 – Improvements

The Coal Analysis and Beneficiation module provides critical functionality to many exploration companies and producing mines. It has undergone several tweaks since the last release, as well as having a couple of new features added.
 

Drillhole selection routines

  • Polygon search: Define polygon boundaries for farms, blocks and other areas
  • Radial search: Provide a co-ordinate and a radius to define a circle
Then use these to select holes and/or channels for processing.
 

Type sections

These are often used for the automatic selection of stratigraphically named samples. We have developed an improved user interface.
 

Co-Processing of fractional and cumulative data

Although SABLETM has always advocated the storage and use of fractional wash table results as primary analytical data, there are occasions where these original results have been lost, leaving only cumulated wash tables to work with. CAB now allows for processing of both data sets, as long as they are appropriately flagged.
 
 

Coordinate Generation (CoordGen) module 1.0 – New!!

To best understand geoscientific data, it needs to be represented spatially. Samples and descriptions of material from below the earth’s surface needs to be co-ordinated from known survey positions and deviation readings before it can be used in modelling and other visualisation tools.
 
SABLETM’s Coordinate Generation module provides a number of advantages of traditional modelling “desurvey” algorithms.
  • A transparent, flexible interface to configure the calculation to use your primary data, meaning you do not have to reformat your data just to match the needs of the system.
  • Source data is thoroughly validated before it is used in the calculation, which can be executed as soon as the data is available. This enforces good quality data both for the calculation and for the data’s later use.
  • CoordGen does not just give you coordinates for each survey point in the hole, but for any distance based table, point or interval, at the top, middle and bottom, as you like.
  • Handles multiple deflections, originating both from the mother hole and within other deflections, natively. All you need is a couple of fields defining the relationships between the deflections. Both top-of-deflection coordinates and depth-based coordinates can be generated.
CoordGen calc log setup window
The CoordGen module needs to be licensed before use, but thereafter you are able to configure it within your database yourself.
 
We are also working on an exciting extension to this module that will allow immediate visualisation of your drillhole’s position in 3D space. Please contact us if you are interested in such a feature.


Statistical Analysis Toolbox for Quality Control (SAT/QC) module 2.2 – Improvements

We are very pleased to announce the release of SAT/QC version 2.2, which is maturing as a product and adding good value to mines and exploration projects as an analytical quality control tool.
 
The Statistical Analysis Toolkit  module is used for Quality Control  reporting. Required statistical populations are  defined as data sets by mapping them to the database structure. These data sets include control samples for field and laboratory batches such as certified standards,  blanks and duplicate samples. Classical statistical parameters are produced in order to verify normal distributions. Charts include histograms, scatter plots, regression lines, control samples within expected ‘certified’ ranges, variance per standard within a single batch and differences between original and duplicate sets relative to mean. Tests include F  to compare  variances of two populations and T  for means of sample populations. Non compliant batches can be reported. Graphs, text and tables are grouped to compile reports. Reports are generated by user and date, ready for auditors, annual reports, resource & reserve estimation and production QA/QC by batch.
 
This maintenance upgrade includes improved mappings to ETL clearing branches as well as primary data tables, more configurable Levey-Jennings plots as well as improved appearance of all graphs.
 
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