By Steven McGinty

Data has the potential to revolutionise the delivery of local services. Just like the private sector – where organisations such as Amazon and Facebook have leveraged user data – local councils have the opportunity to reap significant benefits from analysing their vast silos of data. Improving efficiencies, increasing levels of transparency, and providing services which better meet people’s needs, are just some of the potential benefits.

Although many councils are still at the early stages of utilising their data, some are innovating and introducing successful data initiatives.

Wise Councils

In November 2016, the charity NESTA published a report highlighting the most ‘pioneering’ uses of data in local government. The report emphasised that most local services would benefit from data analysis and that a ‘problem-oriented’ approach is required to generate insights that have an impact on services. The case studies included:

Kent County Council

Kent County Council (KCC), alongside Kent’s seven Clinical Commissioning Groups (CCGs), have created the Kent Integrated Dataset (KID) – one of the largest health and care databases in the UK, covering the records of 1.5 million people. The core requirement of the dataset was to link data from multiple sources to a particular individual, i.e. that information held about a person in hospital, should also be linked to records held by other public bodies such as GPs or the police.

This integrated dataset has enabled the council to run sophisticated data analysis, helping them to evaluate the effectiveness of services and to inform decisions on where to locate services. For example, Kent’s Public Health team investigated the impact of home safety visits by Kent Fire and Rescue Service (KFRS) on attendances at accident and emergency services (A&E). The data suggested that home safety visits did not have a significant impact on an individual’s attendance at A&E.

Leeds City Council

Leeds City Council have focused their efforts on supporting open innovation – the concept that good ideas may come from outside an organisation. This involved the initiatives:

• Data Mill North (DMN) – this collaborative project between the city council and private sector is the city’s open data portal (growing from 50 datasets in 2014 to over 300 data sets, in over 40 different organisations). To encourage a culture change, Leeds City Council introduced an ‘open by default’ policy in November 2015, requiring all employees to make data available to the public. A number of products have been developed from data published on DMN, including StreetWise.life, which provides local information online, such as hospital locations, road accidents, and incidents of crime.
• Innovation Labs – the city has introduced a series of events that bring together local developers and ‘civic enthusiasts’ to tackle public policy problems. Leeds City Council has also provided funding, allowing some ideas to be developed into prototypes. For example, the waste innovation lab created the app, Leeds Bins, which informs residents which days their bins should be put out for collection.

Newcastle City Council

Newcastle City Council have taken a data-led approach to the redesign of their children’s services. The Family Insights Programme (FIP) used data analysis to better understand the demand and expenditure patterns in the children’s social care system. Its aim was to use this insight to support the redesign of services and to reduce the city’s high re-referrals and the number of children becoming looked-after.

The FIP uses data in three different ways:

• Grouping families by need – The council have undertaken cluster analysis to identify common grouping of concerning behaviours, such as a child’s challenging behaviour or risk of physical abuse. When a child is referred to long term social work, senior social workers analyse the concerning behaviours of the case, and then make a referral to a specialist social work unit. Since introducing this data-led approach, social work units have been organised based on needs and concerning behaviours. This has resulted in social workers becoming specialists in supporting particular needs and behaviours, providing greater expertise in the management of cases.
• Embedding data analysts – Each social work unit has an embedded data analyst, who works alongside social workers. Their role is to test what works, as well as providing insights into common patterns for families.
• Enabling intelligent case management – Social workers have access to ChildSat, a tool which social workers use to help manage their cases. It also has the capability to monitor the performance of individual social work units.

Investing in data

Tom Symons, principal researcher in government innovation at Nesta, has suggested that councils need support from central government if they are to accelerate their use of data. He’s suggested that £4 million – just £1% of the Government Digital Service (GDS) budget – is spent on pilot schemes to embed data specialists into councils.

Mr Symons has also proposed that all combined authorities should develop Offices of Data Analytics, to support data analysis across counties. Over the past few months, Nesta has been working on this idea with the Greater London Authority, and a number of London boroughs, to tackle the problem of unlicensed HMOs (Houses in Multiple Occupation). Early insights highlight that data analytics could be used to show that new services would provide value for money.

Final thoughts  

After successive years of cuts, there has never been a greater need for adopting a data-led approach. Although there are undoubtedly challenges in using council data – including changing a culture where data sharing is not the norm, and data protection – the above examples highlight that overcoming these challenges is achievable, and that data analysis can be used to bring benefits to local councils.

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