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Financial & Fraud Cloud Share Analytics

Challenge

The financial enterprises are burdened with an increasing amount of data – ranging from a consumer’s banking transactions to analyst projections for a stock price, and struggling to share the data with fraud detection companies, background check companies. This led financial companies turned to algorithms to cope by converting data into actionable insights. For example, an algorithm may look at a consumer’s credit card transactions and alert them that they’re spending too much money dining out each month. These kinds of actions convey a message to consumers that their financial service providers are using data to look out for them.

Vision

Financial enterprises needs a scalable cloud powered data sharing process to support their decisions rather than relying on them to make decisions outright, and always err on the side of caution if there are any doubts. In addition, many companies recognize the need to exercise caution when building cloud data warehouse models to avoid regulatory penalties. Well-designed data models use representative data sets that are continuously tested to ensure accuracy and account for biases.

Solution

We enable financial enterprises by building scalable cloud sharehouse solution which will uncover insights at 1/10th of the cost with 200X performance. We can help you find ways to thrive even in a period of uncertainty with our data warehouse & analytics modernization solutions. Whether you're preparing for regulatory changes, or GDPR implementation, or rethinking your human capital strategy, we work together with you to resolve complex issues, identify opportunities, and deliver value to your business.



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