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Local information systems


A Local information system (LIS) is a form of information system built with business intelligence tools, designed primarily to support geographic reporting. They overlap with some capabilities of geographic information systems (GIS), although their primary function is the reporting of statistical data rather than the analysis of geospatial data. LIS also tend to offer some common knowledge management functionality for storage and retrieval of unstructured data such as documents. They deliver functionality to load, store, analyse and present statistical data that has a strong geographic reference. In most cases the data is structured as indicators and is linked to discrete geographic areas, for example population figures for US counties or numbers claiming unemployment benefit across wards in England. The ability to present this data using data visualization tools like charts and maps is also a core feature of these systems.

The term "LIS" has emerged since 2004, primarily in the UK public sector. To date it is not widely used elsewhere although other terms like Community Information Systems apply to solutions, primarily in North America, that have a great deal of overlap. Another widely used and largely synonymous term is Data Observatory. Data Observatory is a more widely used term internationally particularly within the area of public health where sites which often include this type of statistical reporting application are often termed a health observatory.

The primary application for LIS is to provide a place-focused evidence base that is easily accessible to a wide range of users including data experts, managers, policy makers, front-line staff and citizens. They provide a wide range of statistics and reports allowing users to review the current evidence base and build a picture of localities and neighbourhoods for their area of interest. LIS are commonly used by partnerships where they need to come together to provide joined-up services for a common area. The ability to have a common evidence base and a platform to share sensitive and non-sensitive data is critical in this situation. LIS enables partners to publish a wide range of indicators in the form of defined outputs which combine locally and nationally available data into more meaningful intelligence aimed at specific user groups.


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