Introduction
Numerous industries have really benefited from big data analytics and this include the financial sector, big data analysis has helped to revolutionize industries and make them become more productive.
What is big Data analytics?
Big data analytics has to do with large volume of unstructured and structural data that are gathered together on daily basis from different sources and this sources include transactions history, social media, sensors and other channels.
The collection of this large data gives an organization the opportunity to find out correlations and some trends that we are difficult to detect before the use of big data analysis and the financial services big data analytics helps to detect market condition and adapt to present condition of the market.
How big data analytic improves financial services.
There are so many ways in which big data analytics helps to improve financial services this include risk management, operational efficiency,customers experience, fraud detection, regulatory compliance and many more less take them one after the order.
- Big data analytics can help a financial institution to manage risk
The major issues of financial services is risk management, is an organization and a company access and mitigate risk that means success for the financial institution and most time this is a challenge but big data analytics helps in risk Management by providing timely and accurate assessment tools.
Some of these assessments includes market risk because volatility in price is a challenge financial market faces often because predicting market movement is a difficult task but big data analysis helps to analyze large data set from different sources like news articles, social media and trading volume, this comprehensive information helps to access market risk and predict trend and then make informed decision when it comes to investment and adjustment in portfolios.
Big data analytics do not rely on historical data like traditional credit risk models rather big data analytics gathers informations from different source and this helps financial institution to have more accurate credit scoring models when it comes to credit risk analysis and this helps to quickly identify potential defaulters.
Sometime system failure fraud and compliance breaches can affect a financial service of an organization but big data analytic has the ability to monitor and take record of eternal data like employees behavior and transaction logs and this helps to dictate any potential risk and any anomalies and the financial service center will take immediate action to avoid such operational risk.
- Big data analytics helps in competitive market
Any financial institution that wants to succeed focuses on improving customers experience and this helps in a competitive market because to stand out it's very important to provide personalized and seamless experiences.
When it comes to personalization big data analytics helps a financial institution to create personalize experience for all their customers and this is done by analyzing customers transaction history, their social media activities and browsing behaviors, this will help a company to channel their products and services shows to meet specific need of customers and satisfied those customers which help to enhance the growth of the company.
Another way to improve in customer's experience is by giving a real-time support and big data analytics can help a financial institution to provide real time support for their customers, big data analysis helps to analyze real-time data of customers from different channels like social media, chatbot so as to get the customers address or contacts and address any challenge the customer is facing promptly amd this helps to enhance the reputation of the organization.
To be more efficient it is very crucial to understand customers needs and preferences, big data analytics helps financial institution to identify high valued customers and their wants, so as to target campaign based on what these high value customers want.
- Big data analytics helps financial institutions to fight fraud.
Many organization faces the challenge of fraud and sometimes it is not easy to detect fraud and prevents it, big data analytics helps to detect fraud tho fraudsters keep coming up with different new tactics but big data analytics provide tools that can help financial institutions to detect and prevent fraud.
Big data analytic analyzes large volume transaction data and during that process it can identify unusual behavior that indicates fraudulent activity and then this is done with machine learning algorithms that continuously learns new data to maintain accuracy in fraud detections.
Big data analytics uses predictive analytic tools to check historical data and find out future fraud attempt and big data analytics enhances security by integrating data from different sources like device information, geolocation data and transaction data which house to apply multiplayer security protocols and reduce fraud.
Conclusion
So far it's obvious that big data analytic have improved financial institution but there are other ways in which big data analytics revolutionizes financial services and there are also challenges facing big data analytic, in the next article will get to see how big data analytics enhances personalized services, how it improves regulatory compliance and the challenges it faces as well as the benefits of big data analytics to financial services.
Stay tuned for the part 2.
Posted Using InLeo Alpha
