AI-Driven Banking
Banks need to manage risk – constant pressure from competitors, growing governance and regulatory requirements, increasing costs, fraud or customer defaults. AI/ML enables you to discover hidden risk factors and patterns from a massive amount of data, allowing you to control risk faster and more dynamically.
How dotData Helps Banks
Whether it is consumer, commercial, or investment banking, your bank must know your clients’ unique needs and offer tailored solutions. Predict default risk, detect transaction fraud, prevent payment failure, and decrease customer churn by leveraging AI automation from dotData.
How SMBC Improved AI by 48X
When global bank SMBC needed to accelerate its AI and Machine Learning development, they looked at 3,000+ companies and evaluated over 30. Learn why they chose dotData.
How dotData Transforms Banking
Consumer Banking
Overview
Build target customer profiles by combining basic attribute data with historical data on deposits, withdrawals, credit card payments, and other transaction histories to tailor marketing campaigns.
How dotData Helps
Build models for high-value prospects that are based on consumer behavior and attributes. Provide sales with in-depth knowledge of how your bank can cater to specific target customers to boost sales traction and customer satisfaction.
Business Impact
Increase sales revenue and customer lifetime value by creating campaigns and product offerings that are highly tailored and easier to sell.
Commercial Banking
Overview
Build predictive models that anticipate the unique needs of business customers by industry, size, and other demographic data. Create products and services that are highly tailored based on predictive patterns built through historical data.
How dotData Helps
Create more predictive and efficient forecast models for B2B tailored products and services. Boost conversion rates by building offerings that are well suited for unique client needs.
Business Impact
Deepen customer relationships by building more tailored product offerings and by identifying clients’ needs based on profiles and historical information.
Credit Monitoring & Risk Management
Overview
Create models that predict at-risk clients by using historical criteria like delinquency, credit downgrades for clients and by leveraging information on basic client demographic data, deposit histories, withdrawals, loan details, etc.
How dotData Helps
Identify factors that influence delinquency and credit downgrades by analyzing historical transaction data and associated demographic data. Detect risk quickly and build criteria for high-risk sources.
Business Impact
Reduce defaults due to credit risk or changes in credit profiles. Identify at-risk clients early and intervene to minimize defaults.
Cash & ATM Management
Overview
Forecast cash demand for all your ATM locations by leveraging historical demand data, location information, calendar, and high-impact events like paydays. Prevent ATM shutdowns due to insufficient funds while reducing capital costs associated with excessive funding.
How dotData Helps
Achieve greater levels of operational efficiency by predicting levels of currency needed at individual locations through historical analysis and by building daily demand models on a month-to-month basis.
Business Impact
Lower ATM outages by preventing cashout situations and lower operating costs by lowering on-hand capital necessary and by adjusting to demand and seasonality.
Forecast Financial Product Demand with ML & AI
Overview
Understanding what products you need, when you need them and what markets you should prioritize is a critical part of running a modern bank.
How dotData Helps
Leverage historical sales data along with customer demographics to build predictive models of future product demand to optimize your product portfolio based on ideal customer profiles.
Business Impact
Forecast interest rate changes, product demand, loan types and understand cash-flow requirements at both the branch as well as organizational level.
Employee Performance Analysis
Overview
Leverage basic employee attributes as well as historical data derived from aptitude testing, attendance, performance evaluations, training history, etc. to build KPI-driven predictive models of employee performance.
How dotData Helps
Identify characteristics of high-performing as well as at-risk employees based on historical and demographic data. Create models by employee type that can then be aligned with actual performance on an ongoing basis.
Business Impact
Improve employee performance by focusing on key performance indicators that boost performance and morale. Lower attrition by minimizing at-risk patterns that lead to employee exits.
dotData meets your needs
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