Data analytics, predictive analytics, or algorithmic automated systems

Freedom of Information Request for information relating to uses of data analytics, predictive analytics, or algorithmic automated systems used for processing, risk assessment, scoring systems or automated decision making within the jurisdiction of your authority.

This could include the use of these data systems in order to draw insights from large and integrated datasets, or to influence decisions about resources, funding or service delivery. This could include, but may not be limited to, uses of predictive analytics in children's services, adult social care, health care, housing and homelessness, low-income and debt support, fraud detection, or policing.

1) Please can you provide a list of the council's data analytics, predictive analytics, or algorithmic automated systems?

2) Which areas are they used in? (For example, "children's services relating to Child Criminal Exploitation" or "homelessness provision").

3) Which different datasets are used to contribute to this and where does the data come from?

4) Please can you tell me the names of any projects, provisions, or pilots you have at the moment relating to these?

5) The names of companies you have contracts with to supply data analytics, predictive analytics, or algorithmic automated systems.

6) The amount of funding supplied by any companies relating to data analytics.

1) Lincolnshire County Council predominantly use Microsoft Excel and Power BI software to produce analytics.

2) These software systems are used across the majority of service areas in the Council.

3) The data comes from a number of different sources from across the Council, including case management systems, central government published data and open source data.

4) Work is delivered as part of an overall intelligence offer to service areas and varies across the council

5-6) Under section 43(2) of the FOI Act 2000 this is commercial sensitive information.

Information is exempt if its disclosure would or would be likely to; prejudice the commercial interests of any person including the public authority holding it.