From banks to investment firms, the financial services industry can benefit from access to advanced data analytics to harness insights from a host of datasets such as market data, CRM data, articles, and more. Leveraging data science helps minimize operational costs while improving the ability to execute on common financial services use cases such as more accurate financial forecasting, analyzing customers to optimize marketing spend and reduce churn, assessing portfolio risk, mitigating fraudulent behavior, and making data-driven investment recommendations.
Leveraging various data points such as market data, news and sentiment data, and transactional data for more accurate forecasting and market trend analysis.
Detect and prevent fraud (e.g. money laundering, credit card fraud) by leveraging advanced analytics to predict anomalies in real time.
Analyze millions of structured and unstructured data points across the market and customer sentiments to recommend the right product or investment strategy that delivers optimal returns to you and your customers.
Databricks’ world-class product, Spark expertise, and quality of service
has made them an indispensable partner in building a product with Apache Spark.