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The public sector - Transparent Decisions, Predicted Effects |
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One of the hardest parts of making decisions in the public sector is that there are so many variables that it is very hard to explain your decisions, or predict their effects. Especially when the relationships between variables are complex, a seemingly positive influence in the short term can result in a negative influence in the medium term. Quantifying the effect of different policies in terms of a model not only helps the decision making process, but also increases policy transparency in the eye of the public. Data mining can be seen as a tool used by public organizations to improve their efficiency Data Mining is specifically designed to help top policy-makers to navigate and access the data in a way that is generally used by banks to analyze the effectiveness of lending programs. It allows you to increase the effectiveness of programs that encourages business and innovations. What follows are some typical examples within different domains. |  |
Tax Department- Tax audit selection process: For example, in the US USD400mil in unpaid taxes has been recovered; taxes administrators need analytics to cope with an increasing tax gap
- Accurate tax revenue forecasts using Data Mining. Since these forecasts determine a government's budget, it is very important to accurately predict them.
Criminal Justice and Defense - Crime patterns assessment. The resource allotments can be adjusted accordingly.
- Understand the relationship between part failure and tank design, manufacture and usage. One can build predictive models to streamline the maintenance processes and therefore, to cut maintenance costs
- Study the most likely security threats. Data Mining may answer questions like “What event is most likely to be a security threat?”
- Identify terrorist activities through unusual activities on a network, such as consumer purchases, government transactions, and communications, and travel and immigration records. Predictive intrusion models and early warning systems can be built.
Ministry of Internal Affairs- Pattern the cross border traffic; this is important for planning of immigration and transport capacity
- Analyze plane crash data to recognize common defects and recommend precautionary measures.
Ministry of Transport- Building an intelligent traffic control system to adjust and coordinate neighboring traffic lights to minimize congestion in the worst affect area. The model for predicting traffic throughput will have to react to data collected from roadside monitors in real time
- Predicting what type of transport people would use to make particular journeys.
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Labor and social welfare - Population data and other statistics are essential to those that have to plan and allocate resources and other budgetary needs. Major customers include: department of local and national government and providers of services such as health and education.
- Deprivation indices can be used to measure correlation between the level of deprivation and some health indicators.
- Predict of the demographic to estimate better budgetary needs
- Unemployment prediction
E-Government The Internet offers a great opportunity to better deliver its contents and services and interact with citizens, businesses and other government institutions. Voters concerns, fraud, abuse, government and citizen understanding (what is the real problem with our schools, why people in a certain city do not go to vote). However, this data needs to be properly analysed and presented in order to use it for decision-making, and that's were Data Mining comes into play. Read also our sections on Healthcare and Academia For more information, please contact us.
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