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Advanced Analytics

Pioneering aggregation of multiple public sector datasheets

We are pioneering the aggregation of multiple public sector datasets and the application of advanced analytical techniques to reveal hidden insights in your data.

Our statisticians and data analysts have developed a number of unique data-driven models that are being used to support the transformation of public sector procurement of goods & services and deliver cash savings including:

  • Spend Aggregation Model

    We have analyzed supply dynamics by category alongside aggregate spend with suppliers shared by multiple public sector bodies to facilitate identification of the suppliers that present the best opportunity for negotiating improved terms by approaching the supplier as a group rather than individually.

  • Relative Efficiency Model

    We have combined population, urbanization, deprivation, classified core trade spend and total budget data to generate an assessment of relative efficiency that facilitates data-driven identification of public sector bodies who would benefit most from the targeted application of external expertise or other resources to assist in the identification and delivery of procurement related savings.

  • Category Efficiency Model

    We have combined population, urbanization, deprivation, classified core trade spend and total budget data to generate an assessment of relative efficiency of spending in the "Waste Management", "Construction" and "Social Care" categories.

  • Environmental Impact Model

    We have combined classified core trade spend data and conversion factors for 75 categories to generate estimates of the quantity of C02 accounted for by public sector spend with its suppliers.

  • Whole Market Savings Model

    We have combined classified core trade spend data and benchmark metrics derived from direct observation to assess the potential for the delivery of total public sector cash savings and process efficiencies in 10 key procurement related areas.

  • Whole Market Sizing Model

    We have combined population, urbanization, deprivation and classified core trade spend data to enable the accurate estimation of total public sector spend on bought-in goods & services by category, by sector and by region.

"The spend analysis was something that was sorely needed at Tampa. Spikes Cavell and the Observatory are going to help us streamline in a lot of areas."

Gregory Spearman - City of Tampa