A well-known bank is planning to expand its rural branch network by providing credit, deposit, and refinancing facilities on agricultural inputs (such as Fertilizers) to farmers, workers, and agricultural industries in Bihar, but is skeptical about prioritizing the top five districts. For the same, the banking officials decide to use market intelligence tools to engender a clear picture of desired district profiles and analyze relevant socio-economic indicators. This interactive feature provides a deeper insight into various aspects of regional and rural banking.

A well-known bank is planning to expand its rural branch network by providing credit, deposit, and refinancing facilities on agricultural inputs (such as Fertilizers) to farmers, workers, and agricultural industries in Bihar, but is skeptical about prioritizing the top five districts. For the same, the banking officials decide to use market intelligence tools to engender a clear picture of desired district profiles and analyze relevant socio-economic indicators. This interactive feature provides a deeper insight into various aspects of regional and rural banking.

Accordingly, four socio-economic development indicators have been taken into account, namely RBI Credit Amount (in crore rupees) and RBI Deposit Amount (in crore rupees), Total MSMEs, and Fertilizer Consumption (in tonnes) across all the districts of India. RBI Deposit Amount data and RBI Credit Amount data assist dealing with involved matters concerning policy-making, planning as well as operations in providing credit and deposit facilities for agricultural and other socio-economic activities in the rural districts. To meet the desired output, concerned authorities of the bank turn over to the relevant district level database of MIMI. The Micro, Small, and Medium Enterprises (MSMEs) can be safely described as the motors of economic growth. MSMEs are significant indicators of a district or state's equitable financial and socio-economic development. Therefore, by studying the number of Total MSMEs prevailing in any district, banks can foresee the potential rate of economic growth in that district, which in turn can be a worthwhile asset for the development of any financial institution. Fertilizer being the major agricultural input, a rural developmental bank, Fertilizer consumption in different districts in a state can help the organization map the districts indulged in higher agrarian activities.

MIMI database is updated on a regular basis based on the trusted government sources and provides clean, interpretable data and visualization at district, sub-district, as well as at village- levels. Here, the four MIMI variables are represented in the form of geospatial heat maps illustrating each economic indicator at the district level on the geographical map of India. The intensity of the color indicates the higher or lower distribution of the development indicator in each district. For instance, if we look at the distribution of the Total MSMEs across all districts of India, the district Surat with the highest number of MSMEs is highlighted in the dark red tone, followed by Thane in Maharashtra with the second-highest number of MSMEs, followed by Pune, Mumbai, Ahmedabad, and Jaipur among others. In contrast, districts in white indicate the lesser number of MSMEs in those districts.

A careful glance at the chart reveals the distribution of a deposited amount in crore rupees from the national to a regional level. As is evident, the districts with higher deposited amounts are highlighted with a darker tone of red. For example, district Patna, followed by Muzaffarpur and Gaya, showcases a relatively higher deposited amount in Bihar. Likewise, the distribution of the amount credited in crore rupees can be analyzed across any state. For instance, in Bihar, districts of Patna, followed by Muzaffarpur, Gaya, Bhojpur, and Bhagalpur, present higher credited amounts in crore rupees than the other districts drawn by a descending hue. A critical analysis of the credited and deposited amounts across different districts can be critically valuable for predicting the growth of rural branches in a state. On selecting any state from the geospatial heatmap, the distribution of total MSMEs across that state can be observed. For example, district Aurangabad, followed by Muzaffarpur and Patna, showcases a larger number of total MSME units compared to the other districts drawn out by a descending hue.

Further, since the bank is looking to mandate for facilitation of a credit flow for agricultural industries' development, Fertilizer consumption data can help the bank innovate rural refinancing systems such as stock and distribution of fertilizers and other agricultural inputs. Across the state of Bihar, Aurangabad, Purnia, Purba Champaran, Araria, and Paschim Champaran, districts are the largest fertilizer consumers followed by other districts. Having analyzed the four key development indicators critical for the bank to plan expansion in rural districts of Bihar, strategizing the investment plan should be much more convenient. Thus, by dissecting all the critical development indicators for rural facilitation and considering other internal factors, the bank can prioritize the most suitable locations to develop rural branches across desired districts in Bihar.