Data analytics is the qualitative and quantitative techniques and processes to enhance productivity and gain greater insights from data. Data is mined to draw conclusions about the information it contains. Data scientists analyze collections of like data, such as behavioral or historical data searching for patterns, behaviours or correlations.

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The basic process of data analytics can be taught, with no tools required to learn base level analytics to leverage everyday datasets, like the type utilised in office finance or consumer purchasing data from a shop.

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If however, you are interested in analysing larger or more complex datasets, especially if you are correlating or cross-interrogating historic datasets in order to form predictive outcomes, you will need a higher level of skills, the understanding of data systems and a selection of preferred tools and technologies.

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Open Data Australia can provide skills training, policy advice; or if all else fails, we can provide the analytic service too!