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Big Data Analytics for Banking & Finance

Advanced analytics is redefining how businesses are run today. Innovators are using big data and analytics to differentiate their firms and gain an edge over the competitors by integrating data insights into daily decision making and predicting customer behavior. Analytics as a service helps firms drive revenue, improve operational efficiencies and transform businesses at speed and scale.

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    Analytics and Data Science solutions for Banking
  • Financial_Services
    Analytics and Data Science solutions for Financial Services
  • Insurance
    Analytics and Data Science solutions for Insurance
Analytics and Data Science solutions for Banking
  • Assist your loan officers to control risk better
  • Identify your profitable customers and their life-time value?
  • Identify and flag-off fraudulent transactions
  • Recognize your profitable branches
  • Gain insight into your customers from structured and unstructured data?
  • Validate identities, transactions and relationships more rapidly
  • Better detect, prevent, and prioritize cyber threats
  • Improve your business flexibility
  • And many more …
Analytics and Data Science solutions for Financial Services
  • Develop personalized offers by analyzing all customer data
  • Identify and thwart potentially fraudulent transactions by rapidly analyzing all available data and frequently updating risk models
  • Improve customer service by providing the officers with instant access to valuable insights
  • Protect against cyber threats by building real-time insights into security to detect threats as they emerge and prevent them from doing any damage
  • Build a lifetime valuation model for the most profitable customers
  • Generate cross-sell and up-sell insights
  • Achieve portfolio optimization
  • Better monitor credit worthiness and changes in financial stability
  • And many more …
Analytics and Data Science solutions for Insurance
  • Improve customer retention and determine the most relevant offers for them
  • Use data and analytics to acquire customers with the same efficacy over various channels
  • Improve the claims processing and embedding advanced fraud detection into the processing
  • Leverage ‘Internet of Things’ to better service policyholders
  • Better underwrite the risk
  • Mitigate losses and pro-actively alert policyholders wherever possible
  • Gain more insight into the drivers of profitability in the business
  • Manage risks in a better way, while ensuring regulatory compliance
  • And many more …