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Mosaic Public Sector

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Mosaic was devised under the direction of Professor Richard Webber, a leading authority on consumer segmentation, using data from a wide range of public and private sources.  It is used to enable policy decisions, communications activity and resources strategies across the public sector.
Mosaic was devised under the direction of Professor Richard Webber, a leading authority on consumer segmentation, using data from a wide range of public and private sources.  It is used to enable policy decisions, communications activity and resources strategies across the public sector.
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Mosaic presently classifies the community represented by each UK postcode into one of '''15 [[Mosaic Groups|groups]]''' and '''69 [[Mosaic Types|types]]'''.  Each group embraces between 3 and 9 types.  Previous versions of Mosaic used different classifications, although derived in a similar manner.
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As from the Summer 2014 update of MAST, Mosaic classifies the community represented by each UK postcode into one of '''15 [[Mosaic 2014 Groups|groups]]''' and '''66 [[Mosaic 2014 Types|types]]'''.  Each group embraces between 3 and 9 types.  Previous versions of Mosaic use different classifications, although derived in a similar manner, for example [[Mosaic 2009]].
==Mosaic in MAST==
==Mosaic in MAST==

Revision as of 13:13, 5 September 2014

Mosaic Public Sector[1], published by Experian, is a socio-demographic classification system covering the whole of the United Kingdom. It is intended to to provide an accurate and comprehensive view of citizens and their needs by describing them in terms of demographics, lifestyle, culture and behaviour.

Mosaic was devised under the direction of Professor Richard Webber, a leading authority on consumer segmentation, using data from a wide range of public and private sources. It is used to enable policy decisions, communications activity and resources strategies across the public sector.

As from the Summer 2014 update of MAST, Mosaic classifies the community represented by each UK postcode into one of 15 groups and 66 types. Each group embraces between 3 and 9 types. Previous versions of Mosaic use different classifications, although derived in a similar manner, for example Mosaic 2009.

Mosaic in MAST

MAST links STATS19 drivers and casualties to Mosaic by using postcodes. This makes it possible to expose the socio-demographic profiles of the communities where they live in the Driver Mosaic and Casualty Mosaic dimensions.

MAST also provides indexed reports, which compare the Mosaic profiles to the underlying population.

Mosaic provides the detailed anaysis which underlies MAST's Similar authorities feature.

Previous Versions

MAST also includes historical access to a previous version of Experian's dataset, Mosaic 2009.

Sources for Mosaic

Image:MosaicWheel.PNG

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