Introduction
The part 1 of this topic covert some areas in which big data Analytics revolutionizes financial services, the article pointed out on how big data Analytics helps to protect and prevent fraud, how it helps to increase customers experience and how it helps financial institution to manage risk and you can visit this content in the link
So this is part two of this topic and we are going to deliberate on more ways in which big data Analytics can improve financial services and some challenges that comes with the use of big data Analytics.
Ways in which big data analytic enhances financial services.
Big data Analytics enhances regulatory compliance in financial services.
In financial services regulatory compliance is very important because if a company or an organization wants to be successful they need to adhere to different laws and regulations of the government and big data analytic helps to reduce the risk of non-compliance because it's uses automatic reporting to automate all regulatory reports that are gathered from multiple sources and also big data Analytics helps to get accurate regulatory report and also present it on time to regulatory authorities.
With big data Analytics an organization can monitor transactions and all other activities in real time and this helps to detect suspicious activities as soon as possible and the institution can quickly correct it so as to avoid penalty from lawmakers.
Big data Analytics helps organization to find out any compliance issue before they become a problem for the company and this is done by analyzing historical data and identify areas of non-compliance and take action.
Big data Analytics helps in personalization of services in financial institutions.
Any progressive organization need personalize service to suit their customers choice.
Big data Analytics helps a financial organization to develop customize financial product by analyzing customers data.
For instance if a financial institution wants to give a loan to a customer, big data Analytics will help them to see the clients credit history, how much income the client makes and how he spends money this will help the bank to determine the loan percentage or package for such customer or business firm and this way the financial institution can enhance customers satisfaction.
Big data analysis can help wealth management firm to provide good investment recommendation for individuals, with big data Analytics wealth management firm can analyze a client profile, economic indicator, the client firm and the market data, this will help them to focus on investment strategies that will suit the client financial goals.
With big data Analytics there is much improved engagement with customers and when an organization understands customers behavior it will be easier to reach the customer's heart and achieve their goals.
Big data Analytics can help in overall efficiency.
For an organization to remain competitive and profitable they need to work hard in improving operational efficiency and be data analytic enhances overall efficiency and reduces cost.
Big data Analytics analyzes data from different sources like employees performance, metrics, customers feedback and transaction logs to find out any form of inefficiency and this helps the organization acts quickly to enhance their efficiency.
Resources allocation is also a vital way to improve the efficiency of any institution, big data Analytics helps to analyze how resources is being used and how it can be shared effectively.
For instance big data Analytics helps a bank or a company to identify which infrastructure has more customers and needs more staffs and more resource, then the branch that is not really doing well have to reduce workers so as to save resources and be more efficient.
Proper maintenance when due is another way an institution can improve efficiency and big data Analytics helps to detect when an infrastructure needs maintenance and when it is due for maintenance.
We have seen how big data Analytics positively affect all angle of financial institution and helps them to succeed but like I said earlier there are some challenges that comes with the use of big data Analytics, let's talk about them.
Challenges facing big data Analytics.
There are three different challenges first in big data Analytics that need serious consideration because if not managed well it has the ability to affect the productivity reputation and overall efficiency of a financial institution.
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For big data Analytics to be accurate and reliable a financial institution must invest a lot in cleansing and validation to make sure that data are completely accurate and up to date that is only when they can fully rely on information with big data Analytics, so quality of data is important.
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The privacy and security of all data of an institution is very crucial so an organization implementing big data Analytics must be certain to apply robust data security which helps to maintain trust and protect customers data information.
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Any financial institution that wants to implement big data Analytics must invest much money in training their staffs to be competent and skilled in using big data Analytics tools because big data analytic involves skills and expertise and there are techniques and tools needed so an organization has to count the cost and profit before investing money for big data Analytics
Summary
The part 1 and 2 of this article has really made it obvious that any organization that have what it takes to implement big data Analytics will be more productive, more efficient and will reduce all possible risk, tho there are challenges but with the evolvement in technology the role of big data Analytics will bring more growth to financial services.
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