BUS7B30 Financial Insights and Business Intelligence Assignment Sample 

Introduction

Financial business intelligence can be considered as a term that is used in describing methods for collecting, processing, and analysing financial data taken from databases in the real-time. It is also used in making better business decisions using professional financial business intelligence software. The assignment aims at identifying appropriate techniques in gaining financial insights as well as business intelligence in the big data age. In other words, ways in which a probable FinTech solution supports the company Tata Steel Europe Ltd has been critically evaluated. The study includes discussion on FinTech solutions for financing decisions, investing decisions as well as operating decisions.

1. FinTech solutions for Tata Steel Europe Ltd’s financing decisions

FinTech solutions to be recommended to Tata Steel Europe Ltd for financing decisions is “Peer-to-Peer” or P2P lending. As per the views put forward by Leong and Sung (2018), “Peer-to-Peer” lending is considered as the best instance of a win-win situation for both the borrowers & lenders using a tech platform. There are several options that the company can consider but out of all the most suitable one is “Peer-to-Peer” lending due to the benefits it provides to both the borrowers & lenders. It will allow FinTech solutions as a borrower to access financing options from multiple individuals.

BUS7B30 Financial Insights and Business Intelligence Assignment Sample

Figure 1: P2P Lending

(Source: alliedmarketresearch, 2021)

Loan origination in per to peer online lending was 41.1 billion dollars in 2017, showing a 30.1 percent year-on-year growth as per fintech statistics. The “peer to peer” lending market size globally was valued at 67.93 billion dollars in 2019. In addition, it has been projected that it will reach to 558.91 billion dollars by 2027. This indicates growth at a CAGR of 29.7 percent from 2020 to 2027. The main reason behind recommending this option to Tata Steel Europe Ltd is that the process of acquiring a loan is simpler in comparison with that of the traditional banks. Based on the understanding of Ionescu and Radulescu (2019), on these platforms the lenders are usually those investors who prefer parking their savings as well as investments at an area providing better returns in comparison to the interest rates being offered by the traditional debt markets. “Peer-to-Peer” lending is a type of FinTech Solution which takes over the task of pre-approving & vetting the borrowers. In this situation, Tata Steel Europe Ltd will thereby be able to offer lenders an easy way of finding the right borrower for them. As stated by Zarrouk et al. (2021), the investors feel empowered because they can look into the financial performance of the company before taking the decision of lending money. “Peer-to-Business” or P2B lending is working on the same model. In this case, individual borrowers are replaced by institutions or businesses who can borrow funds from a lender group on the platform. Such lending platforms have been found to match or fulfill the requirements of the borrowing companies with lenders charging fees on repayment of the borrower. Unique Submission(BUS7B30 Financial Insights and Business Intelligence Assignment Sample)

The benefits that Tata Steel Europe Ltd will get from “Peer-to-Peer” & “Peer-to-Business” involves access to loans at lower rates as the investors are directly connected with the borrowing companies. As commented by von Kalckreuth et al. (2018), no intermediary lies in between reducing the cost of lending for lenders and cost of borrowing for the borrowers. No impact of this FinTech Solution can be seen on the credit score due to the receipt of the initial quote. Personal loans taken through “Peer-to-Business or “Peer-to-Peer” lending is very easy, convinient as well as the credit score remains unaffected due to the personalised quote. This in return will provide the company with affordable as well as better idea of any potential loan. “Peer-to-Peer” creates a room for other options of taking loans from the traditional lenders (Chueca Vergara and Ferruz Agudo, 2021). Tata Steel Europe Ltd will be able to enjoy the transaction of unsecured loans along with better flexibility compared to the traditional loans. Higher returns can be ensured by the company for the investors which will help in attracting more funds. However, this platform has certain limitations that the company will have to face such as compulsion of transmitting a credit check along with another internal check for securing the loan. Payment of an application fee is required and “Peer-to-Peer” is not allowed under all the jurisdiction. In the views of Lee et al. (2020), other disdadvantage of “Peer-to-Peer” involves no tax free interest & no immediate lending of cash. The benefits exceed the limitations which suggests this platform to be effective for the company. Thus, Tata Steel Europe Ltd must opt for loans from individuals, companies and charity. In addition, other forms are payday loans, business loans, student loans, commercial loans, real estate loans secured, leasing, & factoring that the company can consider.

2. FinTech solutions for Tata Steel Europe Ltd’s investing decisions

FinTech solutions to be recommended to Tata Steel Europe Ltd for investing decisions is alternative credit scoring. As argued by Roszkowska (2020), many investment opportunities having a steady source of earning do not pass the screenings of the conventional bank loans because of their strict as well as outdated criteria of credit scoring. This reduces the potential investment opportunities for companies like Tata Steel Europe Ltd. In this situation, the company requires a solution that provides accurate credit rating to probable investment oppoertuinities so that it can invest and earn profitability. According to Rabbani et al. (2020), there are several credit rating companies providing FinTech solutions like Nova Credit who are taking new approaches by considering other data points such as social signals as well as percentile scoring amongst the same borrower groups. Such qualitative factors are combined with intelligent as well as self-learning algorithms to enmsure better investing decisions over time. In this way, the company is getting a wide variety of options where it can invest its money to earn returns and create wealth. Inspired by the views of Lee and Shin (2018), if there is a way of determining negative profiles on the basis of social presence prior to investment disbursement, an investor can avoid the burden of dealing with recovery of the invested amount. The biggest advantage that it will provide to Tata Steel Europe Ltd involves increased options for the purpose of investment. This method is very effective for those investment opportunities that are new to the industry. (BUS7B30 Financial Insights and Business Intelligence Assignment Sample)In the words of Cen and He (2018), lending or investing companies can expand or establish their client base as well as distribute more funds having a better understanding on the involved credit risk borrower by borrower basis.

The information that alternative credit scoring provides to those who want investment might become proactive in enhancing the alternative credit score they get as compared to the traditional ones. Tata Steel Europe Ltd can become more vigilant about the identified factors in its regular business activities to be able to make better investment related benefiting the business in the long run. Inspired by the views of Panos and Wilson (2020), alternative credit scores can be used as better reflection tools indicating creditworthiness as well as feasibility of different investment options available at that moment. This also reduces the ability of oppossing financial errors that are shown on the credit reports of the investment opportuinities. However, there are certain negative points that the company must consider before selecting this FinTech Solution. For instance, the company must remember that this gateway will be dealing with customers’ information and thus privacy must be a very important concern in order to ensure security (Leong and Sung, 2018). Any leakage of information will cause great damage to the business and its goodwill within the industry. The method is definetly beneficial for Tata Steel Europe Ltd, but not every investment opprtuinities would wants to give their details which might affect the process negatively. There lies a thin line between searching helpful information to the portfolio of the borrowers & invading their privacy. In addition, Tata Steel Europe Ltd might find it difficult to accept the alternative credit scores as an integral part of such applications. This is the reason why lenders as well as credit unions must determine the alternative credit scoring in order to benefit the business as well as clients before using the new solutions & methods.

3. FinTech solutions for Tata Steel Europe Ltd’s operating decisions

FinTech solutions to be recommended to Tata Steel Europe Ltd for operating decisions is payment gateways. Inspired by the ideas of Solarz and Swacha-Lech, (2021), payment gateways can be defined as the platforms that enable the buyers to pay for a service or product on the seller’s website. Currently, there are infinite methods of payments like debit cards, digital wallets, credit cards & cryptocurrencies. Generally, the banks are charging enormous fees in lieu of handling transactions through different methods. However, FinTech solutions like payment gateways are integrating all such methods of payments into convenient applications that the company can easily afford online as well as integrate on their website. Influenced from the views of Miskam and Eksan (2018), typical users of payment gateway applications involve businesses that are selling either physical products or services to the end users. Thus, Tata Steel Europe Ltd classifies this criteria and can easily adopt it for business payment operations. It is known that one of the key sources of income for the companies involve payment received from the customers against sales of products. If the payments are not received correctly, companies like Tata Steel Europe Ltd will incur losses. Smooth and easy payment process enhances business operations. As analysed by Hasan et al. (2020), there are different options of payment gateway that the companies can opt for such as “hosted payment gateway, self-hosted payment gateway, API hosted payment gateway as well as local bank payment gateway”. Each of them have their own benefits & limitations that the company needs to consider before opting for the same. A payment gateway checks as well as validates the online transactions which will protect both Tata Steel Europe Ltd & customers from facing flagrant instances of fraud.

As per the views of Gai et al. (2018), payment gateways require basic computer knowledge with the help of which business transactions can be performed over payment gateways. There lies no need of going through any kind of costly training or learning elaborate setup as it is simple & easy to use. Tata Steel Europe Ltd can immediately use the payment gateway services in their online business operations. There is no need for waiting for agonising time in completing the payment gateway setup in the business as the company can avail it in the quickest time possible.  These gateway will offer Tata Steel Europe Ltd with lots of customizable features which can greatly benefit the company and customers alike. As suggested by Francisco (2020), there lies security features, card features, payment option choices and many more which smoothens business operations. The company can activate all such features or select the ones which can best serve this type of business with complex transactions. However, the company must remember that this gateway will be dealing with customers’ information and thus privacy must be a very important concern for the company in order to ensure security. Any leakage of information will cause great damage. As per the ideas of Guo and Polak (2021), payment gateways are basically software that can go awry at times and when it does can leave behind deleterious effects. This will make it difficult for the customers to access the websites or to make online payments to the company. Also, the newness of this Fintech Solution makes the customers uneasy. They will need time to gain trust on the software which will affect their decision making process negatively. For lack of trust the company might not opt for paying through the payment gateways.

Conclusion

The study helps in concluding that Tata Steel Europe Ltd can opt for FinTech solutions like “Peer-to-Peer” or P2P lending for financing. The main reason behind recommending this option is that the process of acquiring a loan is simpler here in comparison with that of the traditional banks. FinTech solutions to be recommended to Tata Steel Europe Ltd for operating decisions is payment gateways. The company can opt for either “hosted payment gateway, self-hosted payment gateway, API hosted payment gateway or local bank payment gateway”. FinTech solutions to be recommended to Tata Steel Europe Ltd for investing decisions is alternative credit scoring because of the conventional bank loan screenings they provide for better investments.

 

References

Cen, T. and He, R., (2018). Fintech, Green Finance and Sustainable Development. Advances in Social Science, Education and Humanities Research291, pp.222-225.

Chueca Vergara, C. and Ferruz Agudo, L., (2021). Fintech and Sustainability: Do They Affect Each Other?. Sustainability13(13), p.7012.

Francisco, D.S.B., (2020). Behavioral finance in fintech: biases & opinions (Doctoral dissertation).

Gai, K., Qiu, M. and Sun, X., (2018). A survey on FinTech. Journal of Network and Computer Applications103, pp.262-273.

Guo, H. and Polak, P., (2021). Artificial Intelligence and Financial Technology FinTech: How AI Is Being Used Under the Pandemic in (2020). The Fourth Industrial Revolution: Implementation of Artificial Intelligence for Growing Business Success, pp.169-186.

Hasan, R., Hassan, M.K. and Aliyu, S., (2020). Fintech and Islamic finance: literature review and research agenda. International Journal of Islamic Economics and Finance (IJIEF)3(1), pp.75-94.

Ionescu, R. and Radulescu, I., (2019). Behavioral finance and the fast evolving world of fintech. economic insights–trends and challenges, VIII (LXXI), (4).

Lee, H.L., Tang, C.S., Yang, S.A. and Zhang, Y., (2020). Dynamic trade finance in the presence of information frictions and fintech. Available at SSRN 3632563.

Lee, I. and Shin, Y.J., (2018). Fintech: Ecosystem, business models, investment decisions, and challenges. Business horizons61(1), pp.35-46.

Leong, K. and Sung, A., (2018). FinTech (Financial Technology): what is it and how to use technologies to create business value in fintech way?. International Journal of Innovation, Management and Technology9(2), pp.74-78.

Miskam, S. and Eksan, S.H.R., (2018). Big Data and FinTech in Islamic Finance: Prospects and Challenges. In 4th Muzakarah Fiqh & International Fiqh Conference, 17th October. Available from: http://conference. kuis. edu. my/mfifc/images/e-proceeding/(2018)/236-244. pdf [Accessed: 24th September (2020)].

Ndungu, J.M. and Moturi, C.A., (2020). Determinants of mobile Fintech uptake in Kenyan microfinance sector.

Panos, G.A. and Wilson, J.O., (2020). Financial literacy and responsible finance in the FinTech era: capabilities and challenges. The European Journal of Finance26(4-5), pp.297-301.

Rabbani, M.R., Khan, S. and Thalassinos, E.I., (2020). FinTech, blockchain and Islamic finance: An extensive literature review.

Roszkowska, P., (2020). Fintech in financial reporting and audit for fraud prevention and safeguarding equity investments. Journal of Accounting & Organizational Change.

Solarz, M. and Swacha-Lech, M., (2021). Determinants of the adoption of innovative FinTech services by millennials.

von Kalckreuth, U., Bundesbank, D. and Schmidt, T., (2018). Digitalisation and adoption of fintech in Germany: gathering survey evidence on households.

Zarrouk, H., Ghak, T.E. and Bakhouche, A., (2021). Exploring economic and technological determinants of fintech startups’ success and growth in the United Arab Emirates. Journal of Open Innovation: Technology, Market, and Complexity7(1), p.50.

 

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