Advisory Services
Audit
Consulting
ESG Advisory
RBI Registration
SEBI Registration
IRDA Registration
FEMA Advisory
Compliances
IBC Services
VCFO Services
Growing
Developing
ME-1
ME-2
EU-1
EU-2
SE
Others
Select Your Location
We all know banks deal with a vast amount of data inside their organizations, but their ability to interpret and extract value from it is the area where they have struggled. In this article, we shall unveil the importance of data in banking.
Data in banking provides an inbuilt advantage to banks over their smaller competitors. They should know how they can improve the customer experience by exploiting the data they hold. It implies learning how to interpret data that allows banks to communicate and send messages to customers at the correct time.
They should address customer segmentation by the use of fast data, which will enable banks to better understand their customers and the context in which they consume services.
The role of data should ultimately help banks bring value by targeting appropriate products like mortgages, loans, insurance policies at competitive prices. This could be done in real-time and will help banks provide a more personalized and more remarkable customer experience.
A personalized form of banking has emerged through enhanced data analysis. The ability to extract more value from the data via learning, understanding, and analysis is leading to cognitive banking wherein machine learning, along with artificial intelligence, is transforming the customer experience.
Cognitive banking involves fast data and having good customer experience and interfaces. It also includes automatic or robotic AI deployed in executing data quickly and accurately, thereby improving the banking process.
Banks should reach conclusions on the engagement strategy with their customers either directly or indirectly on real-time data from multiple source. This forms part of the cognitive banking process that encompasses the analysis, processing, and production of insights resulting in new products and deeper targeted customer value.
The banking industry is at present in flux. Traditional banks require contending with new competitors unburdened by legacy technology or business models, making them agile and responsive.
In order to remain competitive traditional banks require making intelligent decisions towards how to serve their customers, and to do so, quality data is required.
Banks are looking at new ways to do business, and it requires a deep understanding of their market and customers. Apart from it the banking industry should also comply with many regulations. These challenges require data but having data is not enough. They must have quality data that can be trusted.
The quality of data is also essential for compliance reasons. For the purpose of Anti-money laundering, you require to verify information, trace transactions, etc. and all this requires accurate and accessible information.
Better quality data frees up capital to provide better returns to shareholders. The regulations around the world require customer’s data to be of adequate quality so that decisions made based on data are not prejudicial.
Deriving great value and insight need fast data. The main feature of fast data is the rapid gathering and the analysis of data in real-time. It is the ability to consume, analyze, and execute on the insight from multiple data sources. Unlike big data, which focuses on storage, fast data is consumption-oriented and gives a richer context in terms of analysis and decision making. This allows banks to provide an enhanced and personalized user experience.
Traditional banks face stiff competition from challenger banks and fintech; therefore, they must make sure that they use data effectively. As the digital revolution transforms the banking sector, the value of data has risen to the next level of significance. In the last century, oil was considered to be the most valuable commodity in the world, but today data is taking a similar position.
Banks must become data-driven organizations in order to deliver cognitive banking. It will lead to new financial products and services based on the information that is better suited to the expectations and the needs of customers. The value of data lifts banking to a higher place and beyond just a transactional arrangement to one that supports the customer lifestyle and interests.
Banks can use data to drive value in these ways:
The use of data to personalize banking has the potential to improve customer engagement and increases revenue as well.
Banks that are rich in data will enable them to predict the future. The ability to predict the future can help them to improve credit decisions, fraud detection, and forecasting of liquidity needs, thereby reducing cost and mitigating risk.
It is noteworthy to mention here that intelligent insights from data can boost revenues by enabling the business to make accurate decisions.
Banks can use data to reduce business process and operational risk. These include augmenting robotic automation with artificial intelligence to make value judgments and using data gathered through automation to solve upstream issues.
With the use of data in banking, banks can create new products and services. This includes monetizing banking data or suing banking data while interacting with non-banking institutions to develop an ecosystem of services.
Read our article:Data in Banking: Why is Data important in Banking?
Ashish M. Shaji has done his graduation in law (BA. LLB) from CCS University. He has keen interests in doing extensive research and writing on legal subjects especially on corporate law. He is a creative thinker and has a great interest in exploring legal subjects.
On 18th May 2023, the Securities Exchange Board of India (SEBI) released a Consultation Paper o...
Infrastructure and real estate have been regarded as India's "sunshine sector" since the turn o...
On 22nd May 2023, the Central Board of Direct Taxes (CBDT)[1] issued a new circular under secti...
Anyone can have different sources of income. With globalization and the opening up of economies...
The Reserve Bank of India (RBI) is crucial in regulating NBFC, including branch openings and cl...
In India, Non-Banking Financial Companies are subject to certain restrictions from taking publi...
It's usually a good idea to diversify the assets in your financial portfolio, especially during...
A nation is being built by the non-banking finance company through the development of wealth, t...
A corporate entity known as a portfolio manager complies with a contract or agreement with the...
Identifying and analysing risks associated with individual portfolio investments, such as equit...
Digital technologies have taken over our daily lives and have changed the way we live, interact, and bank. With the...
08 Aug, 2020
With the advancement of disruptive technologies, the business of banking is changing. The customer behaviour and ex...
06 Jul, 2021
Red Herring Top 100 Asia enlists outstanding entrepreneurs and promising companies. It selects the award winners from approximately 2000 privately financed companies each year in the Asia. Since 1996, Red Herring has kept tabs on these up-and-comers. Red Herring editors were among the first to recognize that companies such as Google, Facebook, Kakao, Alibaba, Twitter, Rakuten, Salesforce.com, Xiaomi and YouTube would change the way we live and work.
Researchers have found out that organization using new technologies in their accounting and tax have better productivity as compared to those using the traditional methods. Complying with the recent technological trends in the accounting industry, Enterslice was formed to focus on the emerging start up companies and bring innovation in their traditional Chartered Accountants & Legal profession services, disrupt traditional Chartered Accountants practice mechanism & Lawyers.
Stay updated with all the latest legal updates. Just enter your email address and subscribe for free!