Taxonomy Vs Ontology in Banking
A banking-focused comparison of taxonomy and ontology as methods for organizing data and relationships.
A taxonomy and ontology are similar but very different methods to organize data and show relationships. While both offer frameworks to classify and relate information, each is suited to different organizational needs.
Both serve as foundational elements in managing and leveraging data but differ fundamentally in structure, purpose, and application.
In this article we focus on the banking application domain, without further ado, let’s take a look at how they differ and why it matters.
Taxonomy
A taxonomy is a hierarchical classification system that organizes information into categories and subcategories. Banking Taxonomy Example:
Banking Products Accounts
Checking Accounts Personal Checking Account
Business Checking Account Savings Accounts
Personal Savings Account Business Savings Account
High-Yield Savings Account Certificate of Deposit (CD)
Short-term CD Long-term CD
Loans Personal Loans
Secured Personal Loan Unsecured Personal Loan
Business Loans Small Business Loan
Equipment Loan Mortgage Loans
Fixed-rate Mortgage Adjustable-rate Mortgage (ARM)
Customer Segments Personal Banking
Individual Accounts Joint Accounts
Business Banking Small Business Accounts
Corporate Accounts Private Banking
High-Net-Worth Individuals (HNWIs) Ultra-High-Net-Worth Individuals (UHNWIs)
Ontology
An ontology organizes information and defines the relationships between different categories and concepts. Beyond the simple hierarchy seen in taxonomies, an ontology allows for multiple types of relationships, showing how things connect and interact.
Banking Ontology Example: Customer
Has: Accounts (e.g., Savings Account, Checking Account) Performs: Transactions (e.g., Deposits, Withdrawals)
Accounts Type: Savings Account, Checking Account, Loan Account
Has: Interest Rate Is Linked to: Bank Branch (where the account is managed)
Transactions Involves: Money Transfer
Relates to: Currency (e.g., USD, EUR) Has: Transaction Date, Amount
Loan Is Taken by: Customer
Is Secured by: Collateral (e.g., Property) Has: Interest Rate, Repayment Schedule
Property Has: Value, Location
Is Related to: Mortgage (Loan type)
Why It Matters
Connections and interactions among categories and concepts simulate thought processes and considerations used by humans when making decisions.
Ontology frameworks, and the knowledge graphs built upon them, supercharge GenAI applications with rich, contextual insights—enabling decision-making at a speed and scale far beyond human capability.
Supercharge Your Data with DataKite.ai
GenAI is poised to transform the banking industry by enhancing customer service, reducing risk, improving compliance, and streamlining operations.
Now is the time for banks to adopt ontologies, knowledge graphs, and GenAI to stay ahead in an increasingly data-centric world and secure their position in the financial landscape of the future.
DataKite solutions are designed to help banks streamline data management and implement AI-powered technologies. Contact us to see how DataKite can help make GenAI work for your bank.