How would the banking industry use business intelligence

How Would the Banking Industry Use Business Intelligence

The banking and financial sector is one that collects a lot of data every day. This can mean that the information is overwhelming in volume alone, and can be difficult to learn from because of the sheer amount of information to pick through and then piece back together.

It is for this reason that it is so important to have tools to help organize and understand the data a bank may collect! One incredibly valuable tool that does this is known as business intelligence or BI for short.

Read on to learn more about business intelligence and how it can be seen in the banking industry.

What Is Business Intelligence?

Business intelligence is also referred to as BI for a short, quick abbreviation. Essentially, it is a tool that is implemented in many different business sectors and industries.

Its function is to leverage the software and services that a company already uses in order to collect data and then transform this data into actionable insights which can help the company to stay competitive and make smarter decisions about its strategy and approach to many different facets of the business. 

BI is especially useful in sectors or industries where very large amounts of data are being collected every day. Some examples of these industries can be the tech industry or banking, which we will go over in more detail below.

This is because the amount of data collected can be overwhelming and difficult to sort through. Business intelligence does the hard work for us, distilling the data into bite-sized pieces that are easier to analyze.

It also sorts through the data and only pulls out what is important and will be helpful for what is being observed at that time– irrelevant data does not make it into the reports or analytics. 

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What Is the Banking Industry?

The banking industry, as well as the financial industry, which is similar, is one that can greatly benefit from utilizing business intelligence. So, when we say the banking industry, what exactly do we mean by this? The banking industry is, of course, comprised of the banks that citizens use. This sector encompasses all of the systems of financial institutions that help us to store and use our money. Banks handle the acceptance of deposits from the public, as well as creating a demand deposit. At the same time, they can make loans to the public and private sectors. Lending is either done directly, through the bank, or indirectly, through capital markets. Today, the banking industry is a name for the network of financial institutions that are licensed by the state in order to supply these banking services which we have mentioned above.

Benefits of Business Intelligence for the Banking Industry

BI has a number of benefits and ways it can be applied within a company. Take a look below for some of the benefits of using business intelligence if you are in the banking sector. 

Risk Management 

The banking industry is one that can involve many risks, as you are handling other people’s money, as well as making investments and handing out loans. There is always the risk of losing money, for instance, associated with this. BI can help to mitigate risks in this sector by quickly detecting signs or incidents of fraudulent activity. It can also help to calculate the level of risk associated with a particular loan– calculating the probability of whether or not a customer will default on their loan, as well as the cost of recovery. These are just some of the many ways that BI can assist with risk management. 

Improve Operational Efficiencies

Another benefit of business intelligence software is that it can help banks to reduce some of their ongoing, everyday costs by improving their efficiency in certain areas. For instance, they may help a company to set their key benchmarks for metrics so that there are defined goals to track, or BI can also help to generate huge internal efficiencies such as analyzing the performance of sales or employees like bank tellers and account managers. BI can analyze the different customer segments of a bank or company and serve them in accordance with costs and profits as well. 

Improve Customer Satisfaction

With all of the data that a business intelligence software collects and analyzes, it can also help to improve customer satisfaction with your bank or business. The way to do this is through transparency and understanding. Banks are able to harness this data proactively and then provide their clients with insights into their own transitional operations. This provides clients with a real time understanding of payments and of their spending, too. Plus, analysis of the client point of contact data can help banks and institutions to understand their customer sentiment, motivations, and behaviour so that they can cater to them better. 

Customer Segmentation

Customer segmentation is a great feature and benefit of a BI software. It can help to separate the customers into different categories because it is easier to understand the data and also keep things organized! Plus, with customer segmentation comes the ability to better understand the needs of each segment so that products and services can be tailored accordingly. Customer segmentation also allows for more accurate customer profiling, so that data can be analyzed to determine the most desirable customer profile for each bank or institution. 

Secure Existing Customers 

Of course, the best way for any business to thrive and succeed is to keep their existing customers happy and to secure them. This is something that a business intelligence software can assist with. The data mining and analysis that a business intelligence software specializes in can help to come up with some valuable insights. For instance, a BI can determine why customers are switching to the competitor, and then new processes or services can be implemented to keep clients where they are. Changes in customer behaviour can also be tracked so that products and services can be personalized according to these. 

How Is Business Intelligence Used In the Banking Industry?

A business intelligence software has some special benefits, as we went over above, but there are also particular ways that it is usually used in the banking sector. We will detail these below.

Read on for some of the more specific ways that business intelligence software is used in the banking and financial industries. 


One thing that is crucial to understanding the data that business intelligence software collects is a banking dashboard. A banking dashboard is, essentially, an analytical display tool that is linked to the different banking data sets across systems. It is a crucial part of the BI software. Once you have data collected, the banking dashboard of BI is used to track and display information. This can include the business process results, financial performance of an institution, key performance indicators, and more.

A key performance indicator, or KPI, is the name for specific quantitative measurements of a business’ effectiveness. By visualizing these on a dashboard, you can then track the performance of your company in the past and the present. It can also help to provide certain predictive analysis. Therefore, you have a bird’s eye view of what is and is not working in the business so you can begin to make changes to fix it.


One of the most important features of a business intelligence software is its ability to run analytics. This is largely what it is designed and meant to do, so it is something that the banking industry takes advantage of often! With the help of BI, banks are able to measure large data sets on their customers in quantities that have not been seen before. This can help to increase customer satisfaction, of course, as we went over above. It grants the bank a better understanding of their customers so that they can continue to provide an optimal experience, which will then keep their customers returning in the future, rather than switching over to competing banks or financial institutions. In addition, though, there are other areas where analytics can be run for insights, such as the productivity of a branch of the banking institution. All of these analytics allow the company to make smarter and more strategic decisions in many different areas of their business. This is crucial to the continued success of any company! 

Accurate Reporting

Just as analytics are a key usage of business intelligence in banking, reporting– and accurate reporting, at that– is a feature as well. Instead of manually cherry picking data and running a report that way, you can simply plug into your core databases and run more accurate reports this way. With the amount of data that banking institutions collect every day, this can be very important, as the technology leaves much less room for error than if a report was run manually. BI removes that need for a human being to have to run the reports themselves– so it also cuts down on costs and manpower in the long run, too!

In Conclusion

By implementing a banking business intelligence software truly is crucial for the banking industry, and can be helpful in that it eliminates those siloed back office operations. It also has a myriad of benefits, from helping to manage and mitigate risk to assisting in leveraging insights in order to make smart decisions in different aspects of the business. If you are in the banking industry and have yet to utilize a business intelligence software, it is an investment that you should be making– after all, it is an investment into the success of your company.

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Frequently Asked Questions – Business Intelligence in the Banking Industry

How do banks use business intelligence?

Banks can use business intelligence– or BI as it is abbreviated to– to organize and analyze the data that they collect every day. By doing so, they can then make smarter and more strategic decisions. They can improve and streamline their operations, for instance, to become more efficient and better support their strategies for sales and marketing. They can also mitigate risk by better developing their processes for risk management. 

Which of the following are examples of banking business intelligence benefits?

If you are using business intelligence for banking, there are quite a few benefits to doing so! BI can be very valuable for any business sector or industry, but especially for banking, as this is an industry that collects a lot of customer data daily. One of the benefits of BI for banking is that you can input as much customer data as you want into the software and it will not get overloaded. Another benefit is that it can help you to make sales predictions and financial estimations as well as it will analyze data. 

How is business intelligence used in the banking industry?

The banking industry is one industry that does often implement business intelligence– or as it is also referred to, BI– because of how beneficial it can be to everyday operations and strategic decisions. It is usually used in banking as a way to give organizations and teams a way to analyze their data and break it into smaller pieces that are easier to understand. Then, the banks and their teams are able to make smart decisions that are based on these analyses. They can look at what is being communicated– whether in regards to trends, customer needs, or more– and then adjust their approaches accordingly to make informed business decisions to improve banking operations. 

What is artificial intelligence and how it is used in banking?

Artificial intelligence, or AI, is when a computer system or a machine is able to perform a task that would have normally required human intelligence to be completed. It can be seen in the banking industry as being used to replace front desk workers in the traditional bank setting. The AI machines are still able to provide digitized and customized interactive experiences to bank customers. AI can also be used to detect fraud or track customer transactions and behavior in order to recommend more personalized services later. 

What are banking business intelligence tools?

Banking business intelligence tools are software solutions specifically designed for financial institutions to gather, analyze, and utilize data to enhance operational efficiencies and make informed decisions across the banking sector. These tools leverage financial data and customer data to gain insights into customer needs, optimize marketing campaigns, and strengthen customer relationships through predictive analytics.

  1. Data Analytics: Banking business intelligence tools employ advanced data analytics techniques to process and interpret vast amounts of financial data. This allows banks to identify trends, patterns, and anomalies, which can help in making strategic decisions and mitigating risks.
  2. Customer Segmentation: By analyzing customer data, these tools enable banks to segment their customers based on various attributes such as demographics, behaviour, and preferences. This segmentation helps in tailoring services and marketing campaigns to meet specific customer needs.
  3. Performance Metrics: Banking business intelligence tools provide real-time performance metrics and key performance indicators (KPIs) for various aspects of a financial institution. These metrics assist in monitoring the institution’s overall health and identifying areas for improvement.
  4. Risk Management: Financial institutions can use these tools to assess and manage risks more effectively. By analyzing historical data and employing predictive analytics, banks can anticipate potential risks and take proactive measures to mitigate them.
  5. Operational Efficiency: Banking business intelligence tools streamline various processes within a financial institution, leading to improved operational efficiencies. Automation and data-driven decision-making can help reduce costs and optimize resource allocation.
  6. Marketing Campaign Optimization: By analyzing customer data and behaviour, banks can optimize their marketing campaigns to target the right audience with personalized offers and messages. This approach enhances the effectiveness of marketing efforts and increases customer engagement.
  7. Predictive Analytics: Banking business intelligence tools incorporate predictive analytics capabilities, which enable financial institutions to anticipate customer needs and behaviour. This helps in proactively offering relevant products and services to customers, strengthening customer relationships.
  8. Customer Experience Enhancement: By leveraging customer data, these tools enable banks to gain insights into customer preferences, pain points, and satisfaction levels. This information can be used to enhance the overall customer experience and foster long-term loyalty.