BeachMint is a hot, two-year-old company that sells jewelry, clothes, shoes and beauty supplies online with the help of celebrities who interact with customers on social media websites.
With its subscriber base growing rapidly and new product sites being added regularly, the company is collecting mountains of data from its large social media communities in areas such as email traffic, click streams, favorites, customer product reviews and comments. The young company already has terabytes of data it wants to analyze. With limited resources, it looks for fast and cost-effective methods.
The company has implemented Pentaho Business Analytics, HP Vertica and MySQL to provide reporting, analysis, data visualization and predictive analytic capabilities to help with social monitoring, customer retention, financial reporting, product definition and website optimization.
Director of Business Analytics Doug Cohen chose Pentaho for its ability to easily handle big data requirements, native support for Vertica and cost effectiveness compared to traditional proprietary solutions.
Big data analytics allows BeachMint to identify cross-selling opportunities, develop loyal and profitable customer relationships, and run the organization more efficiently. BeachMint recently found another value. By applying an alert that detected unusual levels of coupon traffic, it identified a coupon code that was being used prematurely by customers. The problem was identified and resolved in just two hours with no revenue impact.