Every day, the system receives a huge array

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provision of state and municipal services of the Amur Region (AIS MFC). Now it has a multidimensional data analysis subsystem available. It will allow MFC employees to evaluate the effectiveness of individual business processes for servicing the population and, based on the information received, improve the quality of public services.

The State Autonomous indonesia whatsapp number database Institution "MFC of the Amur Region" includes 25 multifunctional centers, as well as 25 territorially separate divisions, which in total process about 1.2 million requests from residents per year and provide them with 400 thousand state and municipal services. Digital tools for serving the population are provided by the AIS MFC.

of quantitative and time data on the progress of public services. The institution needs a deep analysis of this information for continuous monitoring of applicant service indicators, as well as for finding points of inefficiency in individual business processes and their prompt elimination. A new module of the AIS MFC - the OLAP multidimensional analysis subsystem - helps to solve the problem of processing an array of heterogeneous data.

As part of the project, BFT-Holding specialists deployed new functionality and set up daily data import into the OLAP subsystem from the operational databases (DB) of the AIS MFC and the electronic queue system. This made it possible to automatically compare information stored in the AIS MFC DB with the data of the electronic queue DB, as well as to obtain the ability to analyze the intersection of these data.

The subsystem can be used to create a selection for any time range. The responsible MFC employee can receive data sections by date, time, employees, departments, types of services, service topics and other parameters. The indicators for waiting time in line and service time are calculated in three versions: average, minimum and maximum. For example, for the service "Obtaining a passport of a citizen of Russia" you can find out how much time on average it took to service applicants per month, as well as what the minimum and maximum values ​​​​of this indicator were. The data obtained for the MFC network as a whole can then be detailed to the level of individual MFC departments, and, if necessary, to specific employees. All information can be reflected in the form of tables or graphs, and the resulting selections can be exported to your workplace.

"BFT-Holding" also conducted training for MFC employees to work with the updated system. The new version of the AIS MFC is already available to users in all divisions of the State Autonomous Institution "MFC of the Amur Region".

"The implementation of OLAP analytics allows us to conduct a more in-depth analysis of the processes of interaction between employees and applicants, evaluate the waiting time and service by departments and specialists, promptly make adjustments in order to optimize the process of providing state and municipal services. In addition, we can analyze in detail the efficiency of employees, this helps us make the right management decisions aimed at improving the quality of service to the population," comments Irina Votintseva, Director of the State Autonomous Institution "MFC of the Amur Region".