Ministry of the Interior and Safety
A Policy Support System for the Next-Generation Local Financial Management e-Hojo+ System
BI MATRIX has utilized the AUD Platform to build a policy support system within the Ministry of the Interior and Safety’s next-generation local financial management e-Hojo+ system, aiming to innovate local financial tasks and provide an intelligent work environment for users.
The Ministry of the Interior and Safety aimed to reduce unnecessary administrative work, such as manual processing, in the growing local financial tasks due to local fiscal decentralization. They sought to establish a comprehensive financial management system that would facilitate smooth sharing and utilization of financial information between local governments.
To achieve this, BI MATRIX leveraged its experience in building the data-driven policy situation management system (KORAHS) for the Ministry of Strategy and Finance’s next-generation DBRAIN system. They gathered local fiscal data from each local government, as well as regional economic and social data, to build the next-generation local financial management policy support system.
The comprehensive regional status service screen of the next-generation local financial management policy support system built by BI MATIRX for the Ministry of the Interior and Safety.
In particular, the Ministry of the Interior and Safety re-adopted IBM Cognos with BI MATRIX’s Low-Code integrated UI development solution, the AUD Platform, improving various screen features such as fiscal disclosure items and fiscal crisis indicators.
Through this system, users can perform data-driven tasks by utilizing more than 530 screens (dashboards, structured and unstructured) containing over 8,000 indicators.
Smart Big Board (Dashboard) Creation
BI MATRIX developed a smart big board (dashboard) that links internal and external information to monitor comprehensive situations in real time. This improved user convenience and significantly enhanced the timeliness and accessibility of financial data.
Previously, financial information required by local governments and departments was fragmented, making tasks inefficient, and real-time monitoring of financial conditions was not possible, hindering timely financial analysis and crisis management.
However, with the new system, the comprehensive regional status, including local economic and social conditions, is visualized on a map at national, provincial, city, and district levels, allowing for easy comparison and analysis. This smart big board minimizes manual and redundant tasks caused by information fragmentation.
Intelligent Work Environment Implementation
Additionally, the system implements an intelligent work environment that allows users to access national and international statistical information in real time, enabling data-driven decision-making and significantly improving work productivity.
Previously, there were insufficient functions to respond quickly to frequent requests for consumption and investment execution status, leading to excessive administrative effort as staff had to manually handle statistical tasks.
However, in the new system, 15 statistical categories (1,260 types), such as integrated fiscal balances and fiscal yearbooks, automatically remove internal and external transaction details, and real-time fiscal statistics are generated. This allows field staff to perform Self-BI, reducing the time required to complete tasks from 14 days to real-time processing.
Simulation Feature Development
The simulation feature now allows for forecasts of local situations. Using big data, it provides predictive information on fiscal size, resource allocation trends, and projected expenditures for the current year, enabling proactive responses to social issues.
“Through this project, we are excited that we will be able to gather important data from local governments in one place and innovate the financial work environment. This will significantly assist the staff in analyzing financial data and formulating financial policies.
In the future, in addition to Low-Code solutions, we will also provide LLMs (Large Language Models) and generative AI solutions, supporting public servants to perform data analysis tasks more easily.”
– BI MATRIX –