Based on the available data information of the entire prison system and all businesses, build a leadership cockpit to intuitively present data analysis results, and construct application themes including but not limited to gate dynamics, comprehensive situation, key prisoner portraits, and prisoner maps, to dynamically perceive prison area supervision safety risks, timely detect prison safety risks and issue warnings, thoroughly change the prison's previous state of hindsight regarding emergencies, strongly support prison safety management work, and timely provide sufficient guarantees for the prison's property and police personal safety.

By building unified prison data standards, realize unified management of internal and external data quality of the prison, and realize functions such as data quality verification, metadata management, data lineage analysis, and data impact analysis. Through data governance, ensure that the data entering the big data resource pool are all data that meet quality requirements; not only should we base ourselves on the present, but also look to the future, and ensure good results from future data mining analysis through data governance.

Build a storage and computing platform to aggregate data resources, on the one hand for storing business system data collected from various business systems, and on the other hand to support the construction needs of information resource libraries such as prisoner information libraries, police information libraries, staff information libraries, law enforcement information libraries, and spatial geographic information libraries.

Various types of prison data are stored in the form of islands in various business system databases. The primary problem of the big data application platform is to solve where the data comes from and how to manage it. In prison work, there are multiple business systems such as the prison administration management system, penalty execution system, education reform system, labor reform system, life health system, and in-prison investigation system, and a large amount of business data is generated every day. The construction of the big data application platform first needs to build a data fusion and aggregation platform, fuse and aggregate different types of data from these different business systems, build an integrated data center, break the data island pattern, and effectively support data decision analysis applications.