M. Bhuvana ¹, S. Vasantha ¹

Affiliations
1 School of Management Studies, Vels University Pallavaram, Chennai - 600117, Tamil Nadu, IN

Abstract

Background/Objectives: In India the largest population falls under rural category. People from rural areas have experiences several issues for getting banking services to meet their basic requirements. To manage these challenges Self Help Group were formed consisting of 10 to 20 members in a group with a very low income and residing in unreached segments in our society. The major objective for forming the group is to get an access on financial services at an affordable cost. The members existing in these groups save their money which is utilized for loans. Even if there are several ways to fulfill the objectives of financial inclusion, Self Help Group Bank Linkage Programme is named to be an esteemed platform to meet the expectations of banking services among poor people. Therefore this paper has done an investigation on facilitating banking services to the poor people from the members of self help groups in the various districts of Tamil Nadu, India. Methodology: The study has measured an Index of Financial Inclusion using Multidimensional approach by considering three different dimensions such as Bank Penetration, Credit Penetration and Penetration of Self Help Groups in various districts of Tamil Nadu. Findings: The Districts were ranked based on the Index Scores generated through various parameters and the level of financial inclusion among various districts has been highlighted in the study. Novelty: When considering the banking services facilitated to Self Help Groups many districts in Tamil Nadu have very low level of financial inclusion. Out of all the models designed by our government, Self Help Group Bank Linkage Model is said to be the Successful model which are acceptable by the poor people. Therefore to revamp the status of financial inclusion, the Government of India and concern banking authorities should consider the members of self help groups for obtaining credit facilities in order to satisfy their basic requirements.

Keywords

Banks, Bank Penetration, Credit Penetration, Districts of Tamil Nadu, Financial Inclusion, Financial Inclusion Index, Self Help Groups Penetration.

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M. Bhuvana ¹, S. Vasantha ¹

Affiliations
1 School of Management Studies, Vels University Pallavaram, Chennai - 600117, Tamil Nadu, IN

Abstract

Background/Objectives: The Reserve Bank of India (RBI) has stated that financial inclusion is a process of delivering financial services at a reasonable cost to the people especially from the most down sided sections in the society. The financial services such as timely credit facilities and accessing financial products like small saving deposits reach the rural people easily by the formal financial institutions such as banking industries. Due to the non-availability of banking facilities, people from remote villages face several hindrances to meet their basic necessities. Therefore this paper has done an investigation to measure the level of financial inclusion with the three different dimensions such as Branch Penetration of Banking Industries, Deposit Penetration and Credit Penetration in the rural areas of all the districts in the state of Tamil Nadu. Methods/Statistical Analysis: Secondary data has been collected from various resources such as web sites of Reserve Bank of India (RBI), State Level Banker's Committee (SLBC) Tamil Nadu, articles and Journals. The dimensions such as Branch Penetration, Credit Penetration and Deposit Penetration in the rural areas of all the districts in Tamil Nadu have been measured using the multidimensional approach to calculate the index of financial inclusion. Findings: Ariyalur District has achieved 64.79 IFI that is, the maximum score of financial inclusion in the rural areas by the year 2015. The district Perambalur has higher (>55) level of financial inclusion. The Districts Sivaganga, Nagapattinam and Pudukottai have above average (between 40.0 to 55) level of financial inclusion. The districts Tiruvarur, Karur, Krishnagiri, Ramanathapuram, Dharmapuri, Thanjavur, Cuddalore, Nammakal, Tuticorin and Villupuram have financial inclusion in rural areas with below average level. And the rest of the districts have very low level of financial inclusion. Application/Improvement: Many districts of Tamil Nadu have very low level of financial inclusion in the rural areas. The Government of India and concern authorities should consider those districts which are excluded from receiving financial services to revamp the status of financial inclusion.

Keywords

Banks, Branch Penetration, Business Correspondents, Credit Penetration, Deposit Penetration, Financial Inclusion, Rural Areas in Tamil Nadu.

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M. Bhuvana ¹, P. G. Thirumagal ¹, S. Vasantha ¹

Affiliations
1 School of Management Studies, Vels University, Pallavararam, Chennai – 600043, Tamil Nadu, IN

Abstract

Background/Objectives: Big Data are said to be an extremely huge data set that has to be analyzed, handled, managed and validated through a typical data management tools. Banks are one of the financial services industries that handles enormous amount of transaction data that has been managed, scrutinized and utilized for the benefit of banks as well as the customers. Hence this research paper analyzed how big data are managed in Indian commercial banks, the factors that have a greater impact on banks in handling big data was studied and examined how analytics creates value for the business. Method/Statistical Analysis: Secondary data was collected from various resources such as articles, journals and websites. The factors such as big data management, risk management, fraud detection, customer segmentation and business value of banking industries are studied. A Conceptual framework has been developed to highlight the factors that have a higher impact on big data management in banking industry. Findings: From the study it is analyzed that big data analytics has a driven a prominent change in the business value of banks and the factors having an influence on business value is highlighted. Application/Improvements: Banks need to revamp their software architecture for managing the big data and adopt the new technologies which in turn increases the business value of the organization.

Keywords

Big Data Management, Business Value, Commercial Banks,Customer Segmentation, Fraud Detection, Risk Management.

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