Analytics ToolPack

Perform visual analytical and statistical tasks efficiently all in one place.

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What is ATP?

What is ATP?

Analytics Toolpack (ATP) is a visual data exploration platform that will allow you to view your data in a multitude of ways, perform statistical tests, including T-tests and CuSum analysis, and prepare the results for presentation. In addition to its rapid analysis capability, ATP is an engine for upskilling the site workforce in data prep and basic statistical method.

Processing plants are data rich but can often be information-poor without the application of data-driven tactics and strategies.  Data-driven decision making requires a robust foundation of statistics to cut through the ‘noise’ of plant data, isolating issues and allowing operations to maximise recoveries.

With Analytics Toolpack, there is now no reason for operating on a ‘hunch’ or ‘gut-feel’.

For more information, download the Technical capabilities statement from the link below.

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Features

Benefits

  • Data science and visualisation tool, with some defaults are set to mineral processing applications.

  • Deeply visually interactive and contains commonly used visual statistical tests with automated interpretation.

  • Allows Rapid, visual data filtering and preparation.

  • Allows users to directly input their own aggregated data.

Benefits

  • Apply the tool repeatedly to various operating assets, or to any dataset from continuous processing industry.

  • Explore and uncover hidden relationships between plant operating variables and quickly and consistently evaluate outcomes from plant analysis and plant trials.

  • Understand, condition and constraint the data set rapidly for further analysis, as well as isolate strategies for specific feed types or specific operating scenarios.

  • Input flat file formats easily derived from plant historians or databases.

Examples of Identified Opportunities

Examples of Identified Opportunities

  • Evaluating data from plant trials: performing multiple t-tests quickly to explore the changes in the plant. The results are displayed in a table, but are also clearly visible in a density graph
  • Fast and transparent data preparation, modelling feed-forward variable impact at the click of a button. Explore your data with ready-to-go automatic binning, scaling and quick visualisation generation.
  • Quickly view data from multiple statistical angles with CuSum, Pearson correlations and ANOVA for categorical correlations.

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