Housing and homelessness services direct influence the well-being, stability, and quality of life of residents. Effective housing services ensure adequate provision, reduce homelessness, and foster community cohesion. Incorporating data analytics and insights into housing services allows councils to be more proactive, efficient, and responsive. This approach ensures that residents’ housing needs are met, community well-being is promoted, and councils are using their resources optimally.

Data insights can help understand the root causes of homelessness in the community, guiding interventions and support services to prevent and address this issue.

Predictive analytics can estimate future housing demands based on population growth, economic indicators, and historical housing trends. This helps councils proactively address housing shortages.

Data insights can segment the population to understand specific housing needs – such as housing for the elderly, low-income families, or persons with disabilities – ensuring that everyone’s requirements are addressed.

By analysing applications and waitlists, councils can improve the efficiency of housing allocation, ensuring that available units are assigned promptly and fairly.

Analysis of repairs can help to spot trends in repair types, defects and malicious damage, as well as influencing scheduled maintenance programmes, where targeted investment could avoid costly reactive repairs.

Data analytics can identify tenants in arrears and overpayment of housing benefits, allowing councils to tailor their recovery strategies, and ensure support is available to households who may be struggling to manage their finances.


Analytics and insight can significantly enhance the efficiency, effectiveness, and sustainability of waste and environmental services provided by councils. By harnessing the power of data, councils can make more informed decisions, optimise operations, and proactively address environmental challenges. Here’s how data analytics can be leveraged for waste and environmental service:

Advanced analytics can help design efficient waste collection routes, reducing fuel consumption, emissions, and operational costs

By analysing waste patterns, councils can identify sources of excessive waste and target recycling campaigns more effectively, improving recycling rates

Analytics can identify short and long-term trends in local environmental issues such as fly-tipping, noise nuisance and anti-social behaviour, allowing councils and their partners to target hotspots.

Transparent data reporting can enhance engagement with stakeholders, including businesses, community groups, and the general public.

Comprehensive data on applications, approvals, denials, and appeals can provide a clearer picture for policymakers, informing more balanced and evidence-based decision-making.


Data analytics and insights can be crucial in helping councils reform and improve their transport and highways services. By leveraging data-driven decision-making processes, councils can enhance efficiency, safety, and user satisfaction.


Here’s how data analytics and insights can assist

Analytics can provide insights into the location, duration and reasons for road works, providing transparency for officers, Members and local residents.

Analysis of reported highways issues can identify where critical road maintenance will be needed next, allowing for proactive repairs and reducing long-term costs.

Incorporating feedback mechanisms and analysing complaints can provide councils with valuable insights into public concerns, queries, or suggestions. This iterative feedback can lead to continuous improvement in communication strategies.

By analysing usage patterns of buses, trams, or trains, councils can adjust routes and frequencies to better serve the needs of residents. Data from ticketing systems can show peak travel times, allowing for better scheduling.


Economic development and business support are vital functions of councils, aiming to foster a thriving local economy, create job opportunities, and support businesses to grow and succeed. Leveraging data analytics and insights can supercharge these efforts by offering a deeper understanding and more strategic direction. Here’s how:

Data can provide insights into workforce skills, unemployment rates, and emerging job sectors, helping councils devise training programmes or educational initiatives to meet market needs.

By analysing business performance metrics, councils can gauge the health of local businesses, identify those at risk, and intervene with targeted support.

Data analytics can highlight sectors or industries showing growth potential, enabling councils to prioritise support and investment in these areas.

Geographic analysis can be used to understand the spatial aspects of economic development, such as identifying commercial clusters, assessing infrastructure needs, or pinpointing areas ripe for development.

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