Technology has radically modified the banking landscape by facilitating bigdata applications and complex calculations to business decision making. According to IDC, worldwide revenues for big data and business analytics (BDA) will go up from $130.1 billion in 2016 to more than $203 billion in 2020. The banking industry is among those which has humongous data about their customers but very few banks are leveraging this set of information to enhance the customer experience and using the data information to prevent fraud, improve margins, shorten business cycles and acquire more customers.

Personalized Marketing
Personalized Marketing
By applying ML to market data, product specifications, and sales trends, you can predict future sales more accurately.
Personalized Marketing

Fraud Detection
Fraud Detection
Listen to what customers say on Social Platforms about their experience with your brand, products and services.
Fraud Detection

News Analysis
News Analysis
Streamline and integrate financial planning and budgeting processes, improve visibility.
News Analysis

Predict and Prevent Churn
Predict and Prevent Churn
By applying ML to market data, product specifications, and sales trends, you can predict future sales more accurately.
Predict and Prevent Churn

Customer Lifetime Value
Customer Lifetime Value
Listen to what customers say on Social Platforms about their experience with your brand, products and services.
Customer Lifetime Value

Risk and Compliance
Risk and Compliance
Streamline and integrate financial planning and budgeting processes, improve visibility.
Risk and Compliance

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