Explainer

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What does the score mean?

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The Score

Breif Analysis

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What does this mean?

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What's next?

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Report

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PulseCheck Methodology

PulseCheck is formulated as a weighted sum of normalised scores assigned to each indicator. Data scientists at Klara have created linear spline functions – line segments joined at specified points – to normalise the indicators. For each indicator, a total of 11 scores between -50 and 50 have been assigned to a representative sample of indicator’s values.  The result is an adaptable but consistent and objective methodology that normalises the various indicators into a unified scale.

Once normalised, each indicator is given a weighting that determines the relative influence of the indicators on the overall PulseCheck. The weightings were selected to achieve a balance between more objective measures that reflect actual spending or economic conditions (e.g. ABS data and NAB business conditions) and more subjective measures that reflect consumer sentiment, business confidence, and political satisfaction. The chosen weightings for each source are set out below.

Looking ahead

Together, the York Park Group and Klara have built PulseCheck to capture changes in Australia’s economic and political climate. PulseCheck offers a data-driven lens through which organisations can proactively understand their place and manage their reputation in a dynamic and often unpredictable environment. As the data environment matures and new sources emerge, PulseCheck will continue to refine its approach – remaining a reliable, transparent, and relevant guide for decision-making in an increasingly complex world.

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