Predictive analytics within governments can sift through a large set of data to identify malicious code, anomalous patterns, and network threats to and flag suspicious individuals or actions and help predict cyberattacks. This allows governments to take a proactive approach rather than a reactive response.
Publicly stored data can be used by service agencies in order to improve operating efficiencies and reduce fraud. Social services are finding new ways to apply public records such as tax data, welfare claims, and public assistance statistics in order to collect more revenue and reduce operating costs.
Geo Spatial Analysis
Geo-spatial data can be used by councils to improve services such as waste collection routes and reducing inefficiency and duplication in transactional services.
Modern Analytical platforms are capable of detecting tax evasion. Data science algorithms can track financial data and social media data to match consumers spending patterns to the incomes they are declaring, allowing those who spend more that they have can be detected easily.
The capability to integrate data from numerous sources provides great benefits for authorities in terms of emergency response. The use of smart tools that recognise possible threats and control over multiple communication channels mean authorities can detect threats and trigger alarms and response earlier.
Single Customer View
Combine data from various sources across different systems to generate a single view of your accounts, customers and suppliers. Consolidating this information into one centralised location will lead to improved insights and better-informed decisions.
A combination of sensors, IoT technologies and data can help councils improve traffic management, track air pollution and make more efficient use of infrastructure such as street lights. Data can be collected from citizens to better understand the way that in which they can use their resources to enhance the way people navigate and experience places.
Many Health systems rely heavily on government subsidies and support and there is risk of resource wastage or unfair allocation of government subsidies. The use of big data will allow government departments to clearly see how and where money is being allocated to give them better control over their resources and increase effectiveness toward the community.
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Transforming Local Government with Data and
Predictive Analytics: Cost and Spend Analysis
Optimise procurement costs and mitigate supplier risk with a single source of insight into committed contract spend and supplier performance.
Pool data from multiple source systems to gain maximum contract and supplier insight:
• Invitations to tender / RFx
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• Existing contracts in force, including committed spend and contract KPIs
• Contracts due to expire
• Supplier performance data
• Social media sentiment towards key suppliers
TRANSFORMING LOCAL GOVERNMENT WITH DATA AND ANALYTICS: CASE MANAGEMENT
Handle complex needs efficiently with a single source of truth for case management.
Bringing data together into one place can transform the management of complex cases like:
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- Social care: Co-ordinating support across councils, NHS and private care providers
- Homelessness: Aligning councils and accommodation providers to prevent rough sleeping
- Payment arrears: Understanding reasons for payment arrears and providing suitable support
Service Delivery Planning
TRANSFORMING LOCAL GOVERNMENT WITH DATA AND ANALYTICS: SERIVCE DELIVERY PLANNING
Use predictive modelling to understand where and how to deploy public services for maximum value within constrained budgets.
Predictive modelling can inform service delivery planning in many areas such as the following:
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- Social care
- Housing and planning
- Waste collection and recycling
- Highways and parking
- Emergency planning
Here the Adatis team share their latest perspectives on all things advanced data analytics